Unifying spatial and social network analysis in disease ecology

Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many investigations into sociality and disease may nevertheless be subject to cryptic spatial variation, so ignoring spatial processes can limit in...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of animal ecology Vol. 90; no. 1; pp. 45 - 61
Main Authors: Albery, Gregory F., Kirkpatrick, Lucinda, Firth, Josh A., Bansal, Shweta, Farine, Damien
Format: Journal Article
Language:English
Published: England Blackwell Publishing Ltd 01.01.2021
Subjects:
animal ecology
Animals
Covariance
disease ecology
Ecology
Heterogeneity
Inference
methodology
Models, Biological
Network analysis
parasite transmission
Reliability analysis
Reproducibility of Results
Social analysis
Social behavior
Social Network Analysis
Social networks
Social organization
Spatial Analysis
Spatial data
Spatial heterogeneity
spatial variation
Spatial variations
spatial analysis
disease ecology
parasite transmission
methodology
social network analysis
ISSN:0021-8790, 1365-2656, 1365-2656
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many investigations into sociality and disease may nevertheless be subject to cryptic spatial variation, so ignoring spatial processes can limit inference regarding disease dynamics. Disease analyses can gain breadth, power and reliability from incorporating both spatial and social behavioural data. However, the tools for collecting and analysing these data simultaneously can be complex and unintuitive, and it is often unclear when spatial variation must be accounted for. These difficulties contribute to the scarcity of simultaneous spatial‐social network analyses in disease ecology thus far. Here, we detail scenarios in disease ecology that benefit from spatial‐social analysis. We describe procedures for simultaneous collection of both spatial and social data, and we outline statistical approaches that can control for and estimate spatial‐social covariance in disease ecology analyses. We hope disease researchers will expand social network analyses to more often include spatial components and questions. These measures will increase the scope of such analyses, allowing more accurate model estimates, better inference of transmission modes, susceptibility effects and contact scaling patterns, and ultimately more effective disease interventions. Social network analysis is increasingly widespread in disease ecology, but is often carried out without investigating spatial processes. The authors describe how uniting spatial and social network analyses can augment disease ecology investigations, outlining tools and methodology to do so.
AbstractList Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many investigations into sociality and disease may nevertheless be subject to cryptic spatial variation, so ignoring spatial processes can limit inference regarding disease dynamics.Disease analyses can gain breadth, power and reliability from incorporating both spatial and social behavioural data. However, the tools for collecting and analysing these data simultaneously can be complex and unintuitive, and it is often unclear when spatial variation must be accounted for. These difficulties contribute to the scarcity of simultaneous spatial‐social network analyses in disease ecology thus far.Here, we detail scenarios in disease ecology that benefit from spatial‐social analysis. We describe procedures for simultaneous collection of both spatial and social data, and we outline statistical approaches that can control for and estimate spatial‐social covariance in disease ecology analyses.We hope disease researchers will expand social network analyses to more often include spatial components and questions. These measures will increase the scope of such analyses, allowing more accurate model estimates, better inference of transmission modes, susceptibility effects and contact scaling patterns, and ultimately more effective disease interventions.
Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many investigations into sociality and disease may nevertheless be subject to cryptic spatial variation, so ignoring spatial processes can limit inference regarding disease dynamics. Disease analyses can gain breadth, power and reliability from incorporating both spatial and social behavioural data. However, the tools for collecting and analysing these data simultaneously can be complex and unintuitive, and it is often unclear when spatial variation must be accounted for. These difficulties contribute to the scarcity of simultaneous spatial‐social network analyses in disease ecology thus far. Here, we detail scenarios in disease ecology that benefit from spatial‐social analysis. We describe procedures for simultaneous collection of both spatial and social data, and we outline statistical approaches that can control for and estimate spatial‐social covariance in disease ecology analyses. We hope disease researchers will expand social network analyses to more often include spatial components and questions. These measures will increase the scope of such analyses, allowing more accurate model estimates, better inference of transmission modes, susceptibility effects and contact scaling patterns, and ultimately more effective disease interventions.
Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many investigations into sociality and disease may nevertheless be subject to cryptic spatial variation, so ignoring spatial processes can limit inference regarding disease dynamics. Disease analyses can gain breadth, power and reliability from incorporating both spatial and social behavioural data. However, the tools for collecting and analysing these data simultaneously can be complex and unintuitive, and it is often unclear when spatial variation must be accounted for. These difficulties contribute to the scarcity of simultaneous spatial-social network analyses in disease ecology thus far. Here, we detail scenarios in disease ecology that benefit from spatial-social analysis. We describe procedures for simultaneous collection of both spatial and social data, and we outline statistical approaches that can control for and estimate spatial-social covariance in disease ecology analyses. We hope disease researchers will expand social network analyses to more often include spatial components and questions. These measures will increase the scope of such analyses, allowing more accurate model estimates, better inference of transmission modes, susceptibility effects and contact scaling patterns, and ultimately more effective disease interventions.Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many investigations into sociality and disease may nevertheless be subject to cryptic spatial variation, so ignoring spatial processes can limit inference regarding disease dynamics. Disease analyses can gain breadth, power and reliability from incorporating both spatial and social behavioural data. However, the tools for collecting and analysing these data simultaneously can be complex and unintuitive, and it is often unclear when spatial variation must be accounted for. These difficulties contribute to the scarcity of simultaneous spatial-social network analyses in disease ecology thus far. Here, we detail scenarios in disease ecology that benefit from spatial-social analysis. We describe procedures for simultaneous collection of both spatial and social data, and we outline statistical approaches that can control for and estimate spatial-social covariance in disease ecology analyses. We hope disease researchers will expand social network analyses to more often include spatial components and questions. These measures will increase the scope of such analyses, allowing more accurate model estimates, better inference of transmission modes, susceptibility effects and contact scaling patterns, and ultimately more effective disease interventions.
Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many investigations into sociality and disease may nevertheless be subject to cryptic spatial variation, so ignoring spatial processes can limit inference regarding disease dynamics. Disease analyses can gain breadth, power and reliability from incorporating both spatial and social behavioural data. However, the tools for collecting and analysing these data simultaneously can be complex and unintuitive, and it is often unclear when spatial variation must be accounted for. These difficulties contribute to the scarcity of simultaneous spatial‐social network analyses in disease ecology thus far. Here, we detail scenarios in disease ecology that benefit from spatial‐social analysis. We describe procedures for simultaneous collection of both spatial and social data, and we outline statistical approaches that can control for and estimate spatial‐social covariance in disease ecology analyses. We hope disease researchers will expand social network analyses to more often include spatial components and questions. These measures will increase the scope of such analyses, allowing more accurate model estimates, better inference of transmission modes, susceptibility effects and contact scaling patterns, and ultimately more effective disease interventions. Social network analysis is increasingly widespread in disease ecology, but is often carried out without investigating spatial processes. The authors describe how uniting spatial and social network analyses can augment disease ecology investigations, outlining tools and methodology to do so.
Author Kirkpatrick, Lucinda
Albery, Gregory F.
Firth, Josh A.
Bansal, Shweta
Farine, Damien
Author_xml – sequence: 1
  givenname: Gregory F.
  orcidid: 0000-0001-6260-2662
  surname: Albery
  fullname: Albery, Gregory F.
  email: gfalbery@gmail.com
  organization: Georgetown University
– sequence: 2
  givenname: Lucinda
  orcidid: 0000-0002-0161-2469
  surname: Kirkpatrick
  fullname: Kirkpatrick, Lucinda
  organization: Universiteit Antwerpen
– sequence: 3
  givenname: Josh A.
  orcidid: 0000-0001-7183-4115
  surname: Firth
  fullname: Firth, Josh A.
  organization: Oxford University
– sequence: 4
  givenname: Shweta
  surname: Bansal
  fullname: Bansal, Shweta
  email: gfalbery@gmail.com, sb753@georgetown.edu
  organization: Georgetown University
– sequence: 5
  givenname: Damien
  surname: Farine
  fullname: Farine, Damien
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32984944$$D View this record in MEDLINE/PubMed
BookMark eNqFkctLxDAQh4Mouj7O3qTgxUt18mxzEhGfLHrRc8gmqUS7ydp0kf73pq7rQRBzSRi-b5jMbxdthhgcQocYTnE-Z5gKXhLBxSmmlIsNNPmpbKIJAMFlXUnYQbspvQJARYBuox1KZM0kYxN0_hx8M_jwUqSF7r1uCx1skaIZn8H1H7F7yyXdDsmnwofC-uR0coUzsY0vwz7aanSb3MH3vYeerq-eLm_L6ePN3eXFtDSMCVEKLgFsZZm0HGayqrWRRoDl9Uw6zRy1DTa0gobUDBMtLAPRzFhTY16RWtM9dLJqu-ji-9KlXs19Mq5tdXBxmRThHEvCBK7-R_NAUoKkkNHjX-hrXHb5syNVCU55LUSmjr6p5WzurFp0fq67Qa2XmAG-AkwXU-pco4zv8zJj6DvtW4VBjWGpMRo1RqO-wsre2S9v3fpvQ6yMD9-64T9c3V88XK3ET4Keodc
CitedBy_id crossref_primary_10_1098_rsos_240500
crossref_primary_10_1002_ece3_11418
crossref_primary_10_1128_msystems_00040_23
crossref_primary_10_3389_fevo_2023_1230890
crossref_primary_10_7554_eLife_102643_3
crossref_primary_10_1093_beheco_arab147
crossref_primary_10_7554_eLife_81805
crossref_primary_10_1007_s41019_024_00271_w
crossref_primary_10_1016_j_drugalcdep_2023_109827
crossref_primary_10_1038_s41559_025_02843_z
crossref_primary_10_1007_s00442_023_05426_6
crossref_primary_10_1007_s00265_021_03055_8
crossref_primary_10_1007_s10393_020_01507_7
crossref_primary_10_1002_ece3_9774
crossref_primary_10_7717_peerj_15625
crossref_primary_10_1098_rstb_2023_0174
crossref_primary_10_1111_ele_13684
crossref_primary_10_1186_s40462_024_00494_6
crossref_primary_10_1111_evo_14491
crossref_primary_10_1111_brv_12934
crossref_primary_10_5334_aogh_3836
crossref_primary_10_1016_j_neubiorev_2023_105426
crossref_primary_10_1016_j_envsci_2025_104132
crossref_primary_10_1093_cz_zoab006
crossref_primary_10_1111_1365_2435_13942
crossref_primary_10_1111_ele_14345
crossref_primary_10_1098_rspb_2025_1242
crossref_primary_10_1038_s41559_024_02381_0
crossref_primary_10_1007_s00265_025_03559_7
crossref_primary_10_1016_j_isci_2025_112530
crossref_primary_10_1111_1365_2656_13362
crossref_primary_10_1093_beheco_arab120
crossref_primary_10_1111_ele_14385
crossref_primary_10_1146_annurev_anthro_052721_085447
crossref_primary_10_1007_s43762_022_00045_y
crossref_primary_10_1111_2041_210X_13539
crossref_primary_10_1016_j_tree_2022_11_005
crossref_primary_10_1093_evolut_qpad100
crossref_primary_10_1111_brv_12823
crossref_primary_10_1038_s41598_023_44815_y
crossref_primary_10_1016_j_pt_2021_01_005
crossref_primary_10_1002_wmon_70001
crossref_primary_10_1038_s42003_022_03138_w
crossref_primary_10_1111_ele_13986
crossref_primary_10_1038_s41597_023_02636_8
crossref_primary_10_1155_2022_6256884
crossref_primary_10_1111_ele_14032
crossref_primary_10_1038_s41559_022_01817_9
crossref_primary_10_1111_ele_14079
crossref_primary_10_1186_s42408_021_00113_4
crossref_primary_10_1007_s00265_021_03089_y
crossref_primary_10_1111_mam_12324
crossref_primary_10_7554_eLife_102643
crossref_primary_10_1111_tbed_14418
crossref_primary_10_1016_j_socscimed_2025_118492
crossref_primary_10_1155_2024_9779569
crossref_primary_10_1007_s13721_023_00439_w
crossref_primary_10_1002_env_2888
Cites_doi 10.7208/chicago/9780226895246.001.0001
10.1126/science.aaa2478
10.1111/1365-2656.12088
10.1111/2041-210X.13366
10.1111/2041-210X.13355
10.18637/jss.v024.i03
10.1098/rspb.2015.3078
10.1007/s00265-015-1906-0
10.1098/rspb.2014.2350
10.1111/1365-2656.12013
10.1111/2041-210X.12121
10.1111/j.1365-2656.2005.01013.x
10.7554/eLife.38473
10.1111/brv.12236
10.1111/j.1467-9868.2011.00777.x
10.1016/j.tmaid.2019.101474
10.1126/science.aas8694
10.1098/rstb.2014.0107
10.1098/rspb.2014.0218
10.1111/2041-210X.13361
10.1111/j.1365-294X.2012.05653.x
10.1098/rspb.2007.0998
10.1016/j.socnet.2010.12.001
10.1017/S0031182012000698
10.1038/s41597-019-0056-z
10.1111/aje.12641
10.1111/2041-210X.12770
10.1080/01621459.2014.988214
10.1098/rspb.2018.0670
10.1038/250539a0
10.1016/j.tree.2018.03.008
10.1111/ele.12654
10.1038/srep31790
10.1046/j.1365-2656.2000.00437.x
10.1111/oik.07148
10.1016/j.tree.2016.01.011
10.1111/2041-210X.12383
10.1002/ece3.5071
10.1016/j.anbehav.2014.07.023
10.1093/icb/icz007
10.1016/j.tree.2019.10.001
10.1016/j.cobeha.2016.09.006
10.1016/j.anbehav.2017.09.008
10.1016/S0003-3472(70)80029-X
10.1038/2101200a0
10.1038/s41559-018-0670-8
10.1016/j.anbehav.2017.08.005
10.1371/journal.pone.0213910
10.1111/ele.12917
10.1073/pnas.0800375105
10.1111/ele.12669
10.18637/jss.v063.i19
10.1111/j.1461-0248.2009.01306.x
10.1111/j.1467-9868.2010.00749.x
10.1111/j.1461-0248.2009.01370.x
10.1111/2041-210X.13235
10.1186/s40317-016-0111-x
10.1093/beheco/araa002
10.1111/1365-2656.12137
10.1111/1365-2656.12751
10.1093/icb/icz016
10.1111/1365-2656.12617
10.18637/jss.v033.i02
10.1093/icb/icr062
10.1017/S0031182008000322
10.1093/biosci/biw175
10.1098/rstb.2018.0211
10.1098/rsos.150057
10.1098/rstb.2016.0087
10.1027/1614-2241.2.1.24
10.1111/j.1558-5646.2012.01620.x
10.1371/journal.pntd.0007565
10.1111/j.1365-2907.2006.00080.x
10.1098/rsif.2014.1004
10.1371/journal.pcbi.1002786
10.1111/1365-2656.13166
10.1098/rstb.2017.0089
10.1007/s00265-009-0865-8
10.1111/j.1365-294X.2007.03362.x
10.1016/j.socnet.2011.10.007
10.1016/j.anbehav.2019.01.010
10.1111/1365-2656.12761
10.1534/g3.113.006700
10.1086/708721
10.1111/1365-2656.12786
10.1038/s41598-020-69057-0
10.1038/s41598-018-35174-0
10.1111/2041-210X.13215
10.1098/rstb.2010.0078
10.2307/143141
10.1371/journal.pone.0051144
10.1098/rstb.2003.1437
10.1098/rsif.2015.0705
10.1016/j.anbehav.2014.11.019
10.1111/1365-2664.13512
10.1111/1365-2656.12773
10.1111/ele.12428
10.1007/s10393-017-1233-1
10.1016/j.ijid.2007.04.001
10.1080/13658816.2018.1498097
10.1098/rspb.2017.0299
10.1007/978-3-030-02607-3_37
10.1073/pnas.1007997107
10.1111/1365-2656.13307
10.1098/rsif.2016.0676
10.1126/science.aat4793
10.1371/journal.pone.0197720
10.1515/9781400837762
10.1163/9789004629172
10.1111/1365-2656.13176
ContentType Journal Article
Copyright 2020 British Ecological Society
2020 British Ecological Society.
Journal of Animal Ecology © 2021 British Ecological Society
Copyright_xml – notice: 2020 British Ecological Society
– notice: 2020 British Ecological Society.
– notice: Journal of Animal Ecology © 2021 British Ecological Society
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7QG
7SN
7SS
8FD
C1K
FR3
P64
RC3
7X8
7S9
L.6
DOI 10.1111/1365-2656.13356
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Animal Behavior Abstracts
Ecology Abstracts
Entomology Abstracts (Full archive)
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
Biotechnology and BioEngineering Abstracts
Genetics Abstracts
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Entomology Abstracts
Genetics Abstracts
Technology Research Database
Animal Behavior Abstracts
Engineering Research Database
Ecology Abstracts
Biotechnology and BioEngineering Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList Entomology Abstracts
CrossRef
MEDLINE - Academic
MEDLINE

AGRICOLA
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Zoology
Biology
Ecology
EISSN 1365-2656
EndPage 61
ExternalDocumentID 32984944
10_1111_1365_2656_13356
JANE13356
Genre article
Research Support, U.S. Gov't, Non-P.H.S
Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: National Science Foundation Evolutionary Ecology of Infectious Diseases
  funderid: 1414296
– fundername: NERC
  funderid: NE/S010335/1
– fundername: Merton College and BBSRC
  funderid: BB/S009752/1
– fundername: Biotechnology and Biological Sciences Research Council
  grantid: BB/S009752/1
GroupedDBID ---
-~X
.3N
.GA
.Y3
05W
0R~
10A
1OC
24P
29J
2AX
2WC
31~
33P
3SF
4.4
50Y
50Z
51W
51X
52M
52N
52O
52P
52S
52T
52U
52W
52X
53G
5GY
5HH
5LA
5VS
66C
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A03
AAESR
AAEVG
AAHBH
AAHHS
AAHKG
AAHQN
AAISJ
AAKGQ
AAMNL
AANLZ
AAONW
AASGY
AAXRX
AAYCA
AAZKR
ABBHK
ABCQN
ABCUV
ABEML
ABJNI
ABPFR
ABPLY
ABPQH
ABPVW
ABTAH
ABTLG
ABXSQ
ABYAD
ACAHQ
ACCFJ
ACCZN
ACFBH
ACGFS
ACHIC
ACKIV
ACNCT
ACPOU
ACPRK
ACSCC
ACSTJ
ACTWD
ACUBG
ACXBN
ACXQS
ADBBV
ADEOM
ADIZJ
ADKYN
ADMGS
ADMHG
ADOZA
ADULT
ADXAS
ADZMN
ADZOD
AEEZP
AEIGN
AEIMD
AENEX
AEQDE
AEUPB
AEUQT
AEUYR
AFAZZ
AFBPY
AFEBI
AFFPM
AFGKR
AFPWT
AFRAH
AFWVQ
AFXHP
AFZJQ
AHBTC
AHXOZ
AI.
AILXY
AITYG
AIURR
AIWBW
AJBDE
AJXKR
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
ALVPJ
AMBMR
AMYDB
AQVQM
AS~
ATUGU
AUFTA
AZBYB
AZVAB
BAFTC
BAWUL
BFHJK
BHBCM
BMNLL
BMXJE
BNHUX
BROTX
BRXPI
BY8
C45
CAG
CBGCD
COF
CS3
CUYZI
D-E
D-F
DCZOG
DEVKO
DIK
DOOOF
DPXWK
DR2
DRFUL
DRSTM
DU5
E3Z
EBS
ECGQY
EJD
ESX
EYRJQ
F00
F01
F04
F5P
FVMVE
G-S
G.N
GODZA
GTFYD
H.T
H.X
HF~
HGD
HGLYW
HQ2
HTVGU
HVGLF
HZI
HZ~
IHE
IPSME
IX1
J0M
JAAYA
JAS
JBMMH
JBS
JBZCM
JEB
JENOY
JHFFW
JKQEH
JLEZI
JLS
JLXEF
JPL
JPM
JSODD
JST
K48
LATKE
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
MEWTI
MK4
MRFUL
MRSTM
MSFUL
MSSTM
MVM
MXFUL
MXSTM
N04
N05
N9A
NF~
NHB
O66
O9-
OIG
OK1
OVD
P2P
P2W
P2X
P4D
PQQKQ
Q.N
Q11
QB0
R.K
ROL
RX1
SA0
SUPJJ
TEORI
TN5
UB1
UPT
VH1
W8V
W99
WBKPD
WH7
WHG
WIH
WIK
WIN
WNSPC
WOHZO
WQJ
WRC
WXSBR
WYISQ
XG1
YQT
ZCG
ZY4
ZZTAW
~02
~IA
~KM
~WT
AAMMB
AAYXX
ABAWQ
ABSQW
ABUFD
ACHJO
AEFGJ
AEYWJ
AGHNM
AGUYK
AGXDD
AGYGG
AIDQK
AIDYY
CITATION
O8X
CGR
CUY
CVF
ECM
EIF
NPM
PKN
7QG
7SN
7SS
8FD
C1K
FR3
P64
RC3
7X8
7S9
L.6
ID FETCH-LOGICAL-c4466-65900d7d49d50b978ac9c60d58b9ea4e3df1c370f28412a6d406fb4f815728a3
IEDL.DBID WIN
ISICitedReferencesCount 87
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000577428400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0021-8790
1365-2656
IngestDate Fri Jul 11 18:25:53 EDT 2025
Sun Nov 09 10:18:36 EST 2025
Fri Jul 25 10:53:31 EDT 2025
Wed Feb 19 02:28:45 EST 2025
Sat Nov 29 04:51:37 EST 2025
Tue Nov 18 22:27:43 EST 2025
Wed Jan 22 16:32:02 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords spatial analysis
disease ecology
parasite transmission
methodology
social network analysis
Language English
License 2020 British Ecological Society.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c4466-65900d7d49d50b978ac9c60d58b9ea4e3df1c370f28412a6d406fb4f815728a3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0001-6260-2662
0000-0002-0161-2469
0000-0001-7183-4115
OpenAccessLink https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1365-2656.13356
PMID 32984944
PQID 2476535866
PQPubID 37522
PageCount 17
ParticipantIDs proquest_miscellaneous_2551924617
proquest_miscellaneous_2446990930
proquest_journals_2476535866
pubmed_primary_32984944
crossref_citationtrail_10_1111_1365_2656_13356
crossref_primary_10_1111_1365_2656_13356
wiley_primary_10_1111_1365_2656_13356_JANE13356
PublicationCentury 2000
PublicationDate January 2021
2021-01-00
20210101
PublicationDateYYYYMMDD 2021-01-01
PublicationDate_xml – month: 01
  year: 2021
  text: January 2021
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle The Journal of animal ecology
PublicationTitleAlternate J Anim Ecol
PublicationYear 2021
Publisher Blackwell Publishing Ltd
Publisher_xml – name: Blackwell Publishing Ltd
References 2018; 285
2017; 86
2013; 3
2013; 4
2010; 107
2019; 10
2019; 13
2006; 36
2019; 14
2016; 31
2016; 30
2008; 105
2020; 12
2020; 11
2020; 10
2009; 12
2015; 370
2018; 8
2018; 2
2011; 73
2020; 90
2008; 24
2020; 89
2017; 284
2014; 96
2018; 33
2018; 32
2012; 139
2012; 21
2019; 8
2010; 33
2019; 9
2019; 6
2016; 19
2019; 31
2000; 69
2019; 35
2018; 385526
2017; 67
2017; 372
2017; 132
2012; 34
1970; 18
2007; 11
2018; 21
2016; 13
2016; 283
2016; 12
2007; 16
2016; 4
2016; 6
2015; 69
2020; 31
2018; 359
2015; 63
2007; 274
2015; 110
2013; 82
2008; 135
2018; 13
2018; 362
2017; 8
2006; 75
2015; 104
2019; 56
2019; 59
2020; 129
2020; 58
2015; 348
2018; 87
2018; 373
2010; 64
2020; 4
2018; 136
2014; 281
2012; 66
1974; 250
2015; 2
2015; 12
2015; 282
2015; 6
1966; 210
2019; 73
2015; 18
2010; 365
2009
2008
2019; 149
2006; 2
2014; 83
2017; 92
2017; 14
2020
2011; 51
2019
1964
2018
2016
2015
2012; 7
2004; 359
2012; 8
2019; 374
1970; 46
e_1_2_11_70_1
e_1_2_11_93_1
e_1_2_11_32_1
e_1_2_11_36_1
e_1_2_11_51_1
e_1_2_11_97_1
e_1_2_11_13_1
e_1_2_11_118_1
e_1_2_11_29_1
Gilmour A. R. (e_1_2_11_48_1) 2009
e_1_2_11_125_1
e_1_2_11_106_1
e_1_2_11_121_1
Andris C. (e_1_2_11_7_1) 2016; 30
e_1_2_11_102_1
e_1_2_11_20_1
e_1_2_11_66_1
e_1_2_11_47_1
e_1_2_11_89_1
Noonan M. J. (e_1_2_11_81_1) 2020
e_1_2_11_62_1
e_1_2_11_129_1
e_1_2_11_8_1
e_1_2_11_43_1
e_1_2_11_85_1
e_1_2_11_17_1
e_1_2_11_117_1
e_1_2_11_59_1
e_1_2_11_113_1
e_1_2_11_50_1
e_1_2_11_92_1
Spiegel O. (e_1_2_11_109_1) 2016
e_1_2_11_31_1
e_1_2_11_77_1
e_1_2_11_58_1
e_1_2_11_119_1
e_1_2_11_35_1
e_1_2_11_73_1
e_1_2_11_12_1
e_1_2_11_54_1
e_1_2_11_96_1
e_1_2_11_103_1
e_1_2_11_126_1
e_1_2_11_28_1
Romano V. (e_1_2_11_91_1) 2020
e_1_2_11_122_1
Firth J. A. (e_1_2_11_40_1) 2020
e_1_2_11_61_1
e_1_2_11_80_1
e_1_2_11_46_1
e_1_2_11_69_1
e_1_2_11_88_1
He P. (e_1_2_11_55_1) 2019; 73
e_1_2_11_107_1
e_1_2_11_9_1
e_1_2_11_23_1
e_1_2_11_42_1
e_1_2_11_65_1
e_1_2_11_114_1
e_1_2_11_16_1
e_1_2_11_110_1
e_1_2_11_39_1
Albery G. F. (e_1_2_11_6_1) 2020
Sah P. (e_1_2_11_95_1) 2018
e_1_2_11_72_1
e_1_2_11_30_1
e_1_2_11_57_1
e_1_2_11_99_1
Holand A. M. (e_1_2_11_56_1) 2013; 3
e_1_2_11_34_1
e_1_2_11_53_1
e_1_2_11_76_1
e_1_2_11_11_1
e_1_2_11_104_1
e_1_2_11_27_1
e_1_2_11_127_1
e_1_2_11_2_1
e_1_2_11_100_1
e_1_2_11_123_1
Moirón M. (e_1_2_11_78_1) 2019
e_1_2_11_83_1
e_1_2_11_60_1
Mourier J. (e_1_2_11_79_1) 2019
e_1_2_11_45_1
e_1_2_11_68_1
e_1_2_11_41_1
e_1_2_11_87_1
e_1_2_11_108_1
e_1_2_11_22_1
e_1_2_11_115_1
O'Brien P. P. (e_1_2_11_82_1) 2018; 13
e_1_2_11_15_1
e_1_2_11_111_1
e_1_2_11_38_1
Manion G. (e_1_2_11_74_1) 2018
e_1_2_11_19_1
Pawley M. D. M. (e_1_2_11_84_1) 2018; 385526
Crook J. H. (e_1_2_11_24_1) 1964
Albery G. F. (e_1_2_11_5_1) 2020
e_1_2_11_94_1
e_1_2_11_71_1
e_1_2_11_90_1
e_1_2_11_10_1
e_1_2_11_14_1
e_1_2_11_52_1
e_1_2_11_98_1
e_1_2_11_33_1
e_1_2_11_75_1
e_1_2_11_105_1
e_1_2_11_128_1
e_1_2_11_26_1
e_1_2_11_3_1
e_1_2_11_49_1
e_1_2_11_101_1
e_1_2_11_124_1
e_1_2_11_120_1
Albery G. F. (e_1_2_11_4_1) 2020
Farine D. (e_1_2_11_37_1) 2019
e_1_2_11_21_1
e_1_2_11_44_1
e_1_2_11_67_1
e_1_2_11_25_1
e_1_2_11_63_1
e_1_2_11_86_1
e_1_2_11_18_1
e_1_2_11_116_1
Krause J. (e_1_2_11_64_1) 2015
e_1_2_11_112_1
References_xml – volume: 89
  start-page: 1375
  year: 2020
  end-page: 1386
  article-title: Variation in host home range size decreases rabies vaccination effectiveness by increasing the spatial spread of rabies virus
  publication-title: The Journal of Animal Ecology
– volume: 59
  start-page: 1165
  issue: 5
  year: 2019
  end-page: 1175
  article-title: The fine‐scale landscape of immunity and parasitism in a wild ungulate population
  publication-title: Integrative and Comparative Biology
– volume: 35
  start-page: 137
  issue: 2
  year: 2019
  end-page: 148
  article-title: Social barriers in ecological landscapes: The social resistance hypothesis
  publication-title: Trends in Ecology & Evolution
– volume: 14
  issue: 4
  year: 2019
  article-title: Using GPS collars to investigate the frequency and behavioural outcomes of intraspecific interactions among carnivores: A case study of male cheetahs in the Maasai Mara, Kenya
  publication-title: PLoS ONE
– volume: 11
  start-page: 476
  issue: 4
  year: 2020
  end-page: 486
  article-title: Systematic review of modelling assumptions and empirical evidence: Does parasite transmission increase nonlinearly with host density?
  publication-title: Methods in Ecology and Evolution
– volume: 129
  start-page: 1271
  issue: 9
  year: 2020
  end-page: 1288
  article-title: Infected or informed? Social structure and the simultaneous transmission of information and infectious disease
  publication-title: Oikos
– volume: 359
  start-page: 873
  issue: 1446
  year: 2004
  end-page: 890
  article-title: Estimating genetic parameters in natural populations using the ‘animal model’
  publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences
– volume: 92
  start-page: 389
  issue: 1
  year: 2017
  end-page: 409
  article-title: Using contact networks to explore mechanisms of parasite transmission in wildlife
  publication-title: Biological Reviews
– volume: 13
  issue: 10
  year: 2018
  article-title: A guide to using a Multiple‐Matrix animal model to disentangle genetic and nongenetic causes of phenotypic variance
  publication-title: PLoS ONE
– volume: 283
  start-page: 20153078
  issue: 1828
  year: 2016
  article-title: Host behaviour–parasite feedback: An essential link between animal behaviour and disease ecology: Table 1
  publication-title: Proceedings of the Royal Society B: Biological Sciences
– volume: 132
  start-page: 137
  year: 2017
  end-page: 146
  article-title: Understanding animal social structure: Exponential random graph models in animal behaviour research
  publication-title: Animal Behaviour
– volume: 107
  start-page: 19949
  issue: 46
  year: 2010
  end-page: 19954
  article-title: Social and genetic interactions drive fitness variation in a free‐living dolphin population
  publication-title: Proceedings of the National Academy of Sciences of the United States of America
– volume: 83
  start-page: 406
  issue: 2
  year: 2014
  end-page: 414
  article-title: Linking social and pathogen transmission networks using microbial genetics in giraffe ( )
  publication-title: Journal of Animal Ecology
– volume: 10
  start-page: 1203
  issue: 8
  year: 2019
  end-page: 1211
  article-title: Conducting social network analysis with animal telemetry data: Applications and methods using spatsoc
  publication-title: Methods in Ecology and Evolution
– volume: 12
  start-page: 76
  year: 2020
  end-page: 87
  article-title: Trade‐offs with telemetry‐derived contact networks for infectious disease studies in wildlife
  publication-title: Methods in Ecology and Evolution
– volume: 73
  start-page: 3
  issue: 1
  year: 2011
  end-page: 36
  article-title: Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models
  publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology)
– volume: 34
  start-page: 1
  issue: 1
  year: 2012
  end-page: 5
  article-title: Capturing context: Integrating spatial and social network analyses
  publication-title: Social Networks
– volume: 13
  issue: 7
  year: 2019
  article-title: High‐resolution contact networks of free‐ranging domestic dogs and implications for transmission of infection
  publication-title: PLOS Neglected Tropical Diseases
– volume: 284
  start-page: 20170299
  issue: 1854
  year: 2017
  article-title: Wild birds respond to flockmate loss by increasing their social network associations to others
  publication-title: Proceedings of the Royal Society B: Biological Sciences
– year: 2008
– year: 2019
  article-title: A multilayer perspective for inferring spatial and social functioning in animal movement networks
  publication-title: BioRxiv
– volume: 8
  start-page: 16682
  issue: 1
  year: 2018
  article-title: No evidence for kin protection in the expression of sickness behaviors in house mice
  publication-title: Scientific Reports
– volume: 14
  start-page: 318
  issue: 2
  year: 2017
  end-page: 328
  article-title: Symptomatic raccoon dogs and sarcoptic mange along an urban gradient
  publication-title: EcoHealth
– volume: 13
  start-page: 1
  issue: 3
  year: 2018
  end-page: 21
  article-title: Consistent individual differences and population plasticity in network‐derived sociality: An experimental manipulation of density in a gregarious ungulate
  publication-title: PLoS ONE
– volume: 82
  start-page: 976
  issue: 5
  year: 2013
  end-page: 986
  article-title: Social network analysis of wild chimpanzees provides insights for predicting infectious disease risk
  publication-title: Journal of Animal Ecology
– volume: 89
  start-page: 972
  issue: 4
  year: 2020
  end-page: 995
  article-title: Macroimmunology: The drivers and consequences of spatial patterns in wildlife immune defense
  publication-title: Journal of Animal Ecology
– volume: 87
  start-page: 546
  issue: 3
  year: 2018
  end-page: 558
  article-title: Disease implications of animal social network structure: A synthesis across social systems
  publication-title: Journal of Animal Ecology
– volume: 86
  start-page: 1469
  issue: 6
  year: 2017
  end-page: 1482
  article-title: Linking social and spatial networks to viral community phylogenetics reveals subtype‐specific transmission dynamics in African lions
  publication-title: Journal of Animal Ecology
– year: 2020
  article-title: Fine‐scale spatial patterns of wildlife disease are common and understudied
  publication-title: BioRxiv
– volume: 59
  start-page: 1176
  issue: 5
  year: 2019
  end-page: 1189
  article-title: Leukocyte profiles reflect geographic range limits in a widespread neotropical bat
  publication-title: Integrative and Comparative Biology
– year: 1964
– year: 2020
  article-title: Estimating encounter location distributions from animal tracking data
  publication-title: BioRxiv
– volume: 75
  start-page: 14
  issue: 1
  year: 2006
  end-page: 24
  article-title: Quantifying the influence of sociality on population structure in bottlenose dolphins
  publication-title: Journal of Animal Ecology
– volume: 12
  start-page: 10
  year: 2020
  end-page: 21
  article-title: Network measures in animal social network analysis: Their strengths, limits, interpretations and uses
  publication-title: Methods in Ecology and Evolution
– volume: 86
  start-page: 419
  issue: 3
  year: 2017
  end-page: 433
  article-title: Dynamic vs. static social networks in models of parasite transmission: Predicting cryptosporidium spread in wild lemurs
  publication-title: Journal of Animal Ecology
– start-page: 2020.05.26.20113720
  year: 2020
  article-title: Combining fine‐scale social contact data with epidemic modelling reveals interactions between contact tracing, quarantine, testing and physical distancing for controlling COVID‐19
  publication-title: MedRxiv
– volume: 19
  start-page: 1324
  year: 2016
  end-page: 1332
  article-title: Social carry‐over effects underpin trans‐seasonally linked structure in a wild bird population
  publication-title: Ecology Letters
– volume: 58
  start-page: 182
  issue: August 2018
  year: 2020
  end-page: 192
  article-title: Dyadic associations reveal clan size and social network structure in the fission–fusion society of spotted hyaenas
  publication-title: African Journal of Ecology
– volume: 104
  start-page: e1
  year: 2015
  end-page: e5
  article-title: Proximity as a proxy for interactions: Issues of scale in social network analysis
  publication-title: Animal Behaviour
– volume: 46
  start-page: 234
  year: 1970
  article-title: A computer movie simulating urban growth in the detroit region
  publication-title: Economic Geography
– volume: 370
  start-page: 20140107
  issue: 1669
  year: 2015
  article-title: Infectious disease transmission and contact networks in wildlife and livestock
  publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences
– volume: 32
  start-page: 2272
  issue: 11
  year: 2018
  end-page: 2293
  article-title: Ecological metrics and methods for GPS movement data
  publication-title: International Journal of Geographical Information Science
– volume: 136
  start-page: 195
  year: 2018
  end-page: 205
  article-title: Integrating social networks, animal personalities, movement ecology and parasites: A framework with examples from a lizard
  publication-title: Animal Behaviour
– volume: 149
  start-page: 77
  year: 2019
  end-page: 87
  article-title: Trends and perspectives on the use of animal social network analysis in behavioural ecology: A bibliometric approach
  publication-title: Animal Behaviour
– volume: 18
  start-page: 483
  issue: 5
  year: 2015
  end-page: 495
  article-title: Linking anthropogenic resources to wildlife‐pathogen dynamics: A review and meta‐analysis
  publication-title: Ecology Letters
– volume: 6
  start-page: 44
  issue: 1
  year: 2019
  article-title: A multi‐species repository of social networks
  publication-title: Scientific Data
– start-page: 971
  year: 2016
  end-page: 979
– volume: 373
  start-page: 20170089
  year: 2018
  article-title: Livestock abundance predicts vampire bat demography, immune profiles, and bacterial infection risk
  publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences
– volume: 21
  start-page: 4386
  issue: 17
  year: 2012
  end-page: 4392
  article-title: Social networks and the spread of Salmonella in a sleepy lizard population
  publication-title: Molecular Ecology
– volume: 4
  start-page: 1
  issue: 1
  year: 2016
  end-page: 14
  article-title: Understanding and geo‐referencing animal contacts: Proximity sensor networks integrated with GPS‐based telemetry
  publication-title: Animal Biotelemetry
– volume: 69
  start-page: 815
  year: 2000
  end-page: 828
  article-title: Spatial perturabtion caused by a badger ( ) culling operation: Implication for the function of territoriality and the control of bovine tuberculosis ( )
  publication-title: Journal of Applied Ecology
– volume: 6
  start-page: 31790
  issue: 1
  year: 2016
  article-title: Infection‐induced behavioural changes reduce connectivity and the potential for disease spread in wild mice contact networks
  publication-title: Scientific Reports
– volume: 8
  start-page: 1026
  issue: 9
  year: 2017
  end-page: 1041
  article-title: The application of statistical network models in disease research
  publication-title: Methods in Ecology and Evolution
– volume: 13
  start-page: 20160676
  issue: 124
  year: 2016
  article-title: Inferring animal social networks and leadership: Applications for passive monitoring arrays
  publication-title: Journal of the Royal Society Interface
– volume: 33
  start-page: 376
  issue: 6
  year: 2018
  end-page: 378
  article-title: Can multilayer networks advance animal behavior research?
  publication-title: Trends in Ecology & Evolution
– volume: 63
  start-page: 1
  issue: 19
  year: 2015
  end-page: 25
  article-title: Bayesian spatial modelling with R‐INLA
  publication-title: Journal of Statistical Software
– year: 2020
  article-title: Spatial point locations explain a range of social network positions in a wild ungulate
  publication-title: BioRxiv
– volume: 374
  start-page: 20180211
  year: 2019
  article-title: Integrating social behaviour, demography and disease dynamics in network models: Applications to disease management in declining wildlife populations
  publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences
– year: 2020
  article-title: Negative density‐dependent parasitism in a group‐living carnivore
  publication-title: BioRxiv
– volume: 82
  start-page: 39
  issue: 1
  year: 2013
  end-page: 54
  article-title: Quantifying individual variation in behaviour: Mixed‐effect modelling approaches
  publication-title: Journal of Animal Ecology
– volume: 385526
  year: 2018
  article-title: Spatial autocorrelation: Bane or bonus?
  publication-title: BioRxiv
– volume: 6
  start-page: 836
  issue: 7
  year: 2015
  end-page: 844
  article-title: Generalized affiliation indices extract affiliations from social network data
  publication-title: Methods in Ecology and Evolution
– volume: 281
  start-page: 20140218
  issue: 1788
  year: 2014
  article-title: When is it socially acceptable to feel sick?
  publication-title: Proceedings of the Royal Society B: Biological Sciences
– volume: 2
  start-page: 150057
  issue: 4
  year: 2015
  article-title: The role of social and ecological processes in structuring animal populations: A case study from automated tracking of wild birds
  publication-title: Royal Society Open Science
– volume: 16
  start-page: 3263
  issue: 15
  year: 2007
  end-page: 3273
  article-title: Within‐population variation in prevalence and lineage distribution of avian malaria in blue tits,
  publication-title: Molecular Ecology
– volume: 372
  start-page: 20160087
  issue: 1719
  year: 2017
  article-title: Transmission dynamics: Critical questions and challenges
  publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences
– volume: 3
  start-page: 1241
  issue: 8
  year: 2013
  end-page: 1251
  article-title: Animal models and integrated nested laplace approximations
  publication-title: Genes|Genomes|Genetics
– volume: 2
  start-page: 24
  issue: 1
  year: 2006
  end-page: 33
  article-title: Positional estimation within a latent space model for networks
  publication-title: Methodology: European Journal of Research Methods for the Behavioral and Social Sciences
– year: 2009
– volume: 31
  start-page: 651
  issue: 3
  year: 2020
  end-page: 660
  article-title: Sex, synchrony, and skin contact: Integrating multiple behaviors to assess pathogen transmission risk
  publication-title: Behavioral Ecology
– volume: 348
  start-page: aaa2478
  issue: 6240
  year: 2015
  article-title: Terrestrial animal tracking as an eye on life and planet
  publication-title: Science
– start-page: 169573
  year: 2018
  article-title: Revealing mechanisms of infectious disease transmission through empirical contact networks
  publication-title: BioRxiv
– volume: 66
  start-page: 2411
  issue: 8
  year: 2012
  end-page: 2426
  article-title: Shared spatial effects on quantitative genetic parameters: Accounting for spatial autocorrelation and home range overlap reduces estimates of heritability in wild red deer
  publication-title: Evolution; International Journal of Organic Evolution
– start-page: 6
  year: 2020
  end-page: 11
  article-title: The trade‐off between information and pathogen transmission in animal societies
  publication-title: BioRxiv
– volume: 110
  start-page: 1646
  issue: 512
  year: 2015
  end-page: 1657
  article-title: Latent space models for dynamic networks
  publication-title: Journal of the American Statistical Association
– volume: 7
  start-page: 15
  issue: 12
  year: 2012
  end-page: 21
  article-title: Monkeys in the middle: Parasite transmission through the social network of a wild primate
  publication-title: PLoS ONE
– volume: 12
  start-page: 20150705
  issue: 111
  year: 2015
  article-title: Beyond contact‐based transmission networks: The role of spatial coincidence
  publication-title: Journal of the Royal Society Interface
– volume: 4
  start-page: 1
  year: 2020
  end-page: 4
  article-title: The ecology of individual differences empirically applied to space‐use and movement tactics
  publication-title: The American Naturalist
– volume: 30
  start-page: 2009
  issue: 10
  year: 2016
  end-page: 2031
  article-title: Integrating social network data into GISystems
  publication-title: International Journal of Geographical Information Science
– volume: 90
  start-page: 8
  year: 2020
  end-page: 26
  article-title: Detecting and quantifying social transmission using network‐based diffusion analysis
  publication-title: Journal of Animal Ecology
– volume: 9
  start-page: 5133
  issue: 9
  year: 2019
  end-page: 5145
  article-title: Space use and social association in a gregarious ungulate: Testing the conspecific attraction and resource dispersion hypotheses
  publication-title: Ecology and Evolution
– volume: 2
  start-page: 1696
  issue: 11
  year: 2018
  end-page: 1699
  article-title: Personality shapes pair bonding in a wild bird social system
  publication-title: Nature Ecology and Evolution
– volume: 8
  start-page: 1
  year: 2019
  end-page: 17
  article-title: Ant colonies maintain social homeostasis in the face of decreased density
  publication-title: eLife
– volume: 24
  start-page: nihpa54860
  issue: 3
  year: 2008
  article-title: ergm: A package to fit, simulate and diagnose exponential‐family models for networks
  publication-title: Journal of Statistical Software
– year: 2018
– volume: 135
  start-page: 807
  issue: 7
  year: 2008
  end-page: 823
  article-title: Measuring immune system variation to help understand host‐pathogen community dynamics
  publication-title: Parasitology
– volume: 12
  start-page: 528
  issue: 6
  year: 2009
  end-page: 537
  article-title: Does elevated testosterone result in increased exposure and transmission of parasites?
  publication-title: Ecology Letters
– volume: 31
  start-page: 12
  year: 2019
  end-page: 15
  article-title: Brazil burning! What is the potential impact of the Amazon wildfires on vector‐borne and zoonotic emerging diseases? – A statement from an international experts meeting
  publication-title: Travel Medicine and Infectious Disease
– volume: 274
  start-page: 2769
  issue: 1626
  year: 2007
  end-page: 2777
  article-title: Culling‐induced social perturbation in Eurasian badgers and the management of TB in cattle: An analysis of a critical problem in applied ecology
  publication-title: Proceedings of the Royal Society B: Biological Sciences
– volume: 19
  start-page: 1201
  year: 2016
  end-page: 1208
  article-title: Badgers prefer cattle pasture but avoid cattle: Implications for bovine tuberculosis control
  publication-title: Ecology Letters
– year: 2019
  article-title: How to characterise shared space use networks
  publication-title: bioRxiv
– volume: 10
  start-page: 12282
  issue: 1
  year: 2020
  article-title: Schistocephalus parasite infection alters sticklebacks' movement ability and thereby shapes social interactions
  publication-title: Scientific Reports
– volume: 12
  start-page: 66
  year: 2016
  end-page: 72
  article-title: Group living and pathogen infection revisited
  publication-title: Current Opinion in Behavioral Sciences
– volume: 210
  start-page: 1200
  issue: 5042
  year: 1966
  end-page: 1203
  article-title: Evolution of primate societies
  publication-title: Nature
– volume: 8
  issue: 11
  year: 2012
  article-title: How random is social behaviour? Disentangling social complexity through the study of a wild house mouse population
  publication-title: PLoS Computational Biology
– volume: 359
  start-page: 1213
  issue: 6381
  year: 2018
  end-page: 1215
  article-title: A landscape of disgust
  publication-title: Science
– volume: 51
  start-page: 528
  issue: 4
  year: 2011
  end-page: 539
  article-title: Does animal behavior underlie covariation between hosts’ exposure to infectious agents and susceptibility to infection? Implications for disease dynamics
  publication-title: Integrative and Comparative Biology
– volume: 73
  issue: 9
  year: 2019
  article-title: The role of habitat configuration in shaping social structure: A gap in studies of animal social complexity
  publication-title: Behavioral Ecology and Sociobiology
– volume: 64
  start-page: 493
  issue: 3
  year: 2010
  end-page: 503
  article-title: Sampling animal association networks with the gambit of the group
  publication-title: Behavioral Ecology and Sociobiology
– start-page: 405
  year: 2019
  end-page: 414
– year: 2015
– volume: 105
  start-page: 19052
  issue: 49
  year: 2008
  end-page: 19059
  article-title: A movement ecology paradigm for unifying organismal movement research
  publication-title: Proceedings of the National Academy of Sciences of the United States of America
– volume: 96
  start-page: 59
  year: 2014
  end-page: 67
  article-title: Social networks created with different techniques are not comparable
  publication-title: Animal Behaviour
– volume: 11
  start-page: 300
  issue: 4
  year: 2007
  end-page: 308
  article-title: Impacts of widespread badger culling on cattle tuberculosis: Concluding analyses from a large‐scale field trial
  publication-title: International Journal of Infectious Diseases: IJID: Official Publication of the International Society for Infectious Diseases
– volume: 12
  start-page: 20141004
  issue: 102
  year: 2015
  article-title: Spatial analyses of wildlife contact networks
  publication-title: Journal of the Royal Society, Interface/the Royal Society
– volume: 21
  start-page: 588
  issue: 4
  year: 2018
  end-page: 604
  article-title: Going through the motions: Incorporating movement analyses into disease research
  publication-title: Ecology Letters
– volume: 4
  start-page: 1187
  issue: 12
  year: 2013
  end-page: 1194
  article-title: Animal social network inference and permutations for ecologists in R using
  publication-title: Methods in Ecology and Evolution
– volume: 362
  start-page: 941
  issue: November
  year: 2018
  end-page: 945
  article-title: Social network plasticity decreases disease transmission in a eusocial insect
  publication-title: Science
– volume: 12
  start-page: 1147
  year: 2009
  end-page: 1157
  article-title: Contact networks in a wild Tasmanian devil ( ) population: Using social network analysis to reveal seasonal variability in social behaviour and its implications for transmission of devil facial tumour disease
  publication-title: Ecology Letters
– volume: 87
  start-page: 113
  issue: 1
  year: 2018
  end-page: 127
  article-title: An evolutionary framework outlining the integration of individual social and spatial ecology
  publication-title: Journal of Animal Ecology
– volume: 365
  start-page: 2201
  issue: 1550
  year: 2010
  end-page: 2211
  article-title: Stochastic modelling of animal movement
  publication-title: Philosophical Transactions of the Royal Society B: Biological Sciences
– volume: 250
  start-page: 539
  issue: 5467
  year: 1974
  end-page: 542
  article-title: Primate social organisation and ecology
  publication-title: Nature
– volume: 36
  start-page: 1
  issue: 1
  year: 2006
  end-page: 16
  article-title: Use of trade‐off theory to advance understanding of herbivore‐parasite interactions
  publication-title: Mammal Review
– volume: 67
  start-page: 245
  issue: 3
  year: 2017
  end-page: 257
  article-title: Using social network measures in wildlife disease ecology, epidemiology, and management
  publication-title: BioScience
– volume: 10
  start-page: 1234
  issue: 8
  year: 2019
  end-page: 1245
  article-title: Estimating interactions between individuals from concurrent animal movements
  publication-title: Methods in Ecology and Evolution
– volume: 69
  start-page: 857
  issue: 5
  year: 2015
  end-page: 866
  article-title: Inferring social structure from temporal data
  publication-title: Behavioral Ecology and Sociobiology
– volume: 73
  start-page: 423
  issue: 4
  year: 2011
  end-page: 498
  article-title: An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach
  publication-title: Journal of the Royal Statistical Society B (Statistical Methodology)
– volume: 18
  start-page: 197
  year: 1970
  end-page: 209
  article-title: Social organization and the environment: Aspects of contemporary social ethology
  publication-title: Animal Behaviour
– volume: 31
  start-page: 301
  issue: 4
  year: 2016
  end-page: 314
  article-title: Emerging network‐based tools in movement ecology
  publication-title: Trends in Ecology & Evolution
– volume: 285
  start-page: 20180670
  issue: 1887
  year: 2018
  article-title: The ecology of movement and behaviour: A saturated tripartite network for describing animal contacts
  publication-title: Proceedings. Biological Sciences
– year: 2019
  article-title: Individual differences in behaviour explain variation in survival: A meta‐analysis
  publication-title: EcoEvoRxiv Preprints
– volume: 56
  start-page: 2390
  issue: 11
  year: 2019
  end-page: 2399
  article-title: Effect of culling on individual badger behaviour: Potential implications for bovine tuberculosis transmission
  publication-title: Journal of Applied Ecology
– volume: 87
  start-page: 559
  issue: 3
  year: 2018
  end-page: 580
  article-title: Dynamic, spatial models of parasite transmission in wildlife: Their structure, applications and remaining challenges
  publication-title: Journal of Animal Ecology
– volume: 34
  start-page: 6
  issue: 1
  year: 2012
  end-page: 17
  article-title: Networks and geography: Modelling community network structures as the outcome of both spatial and network processes
  publication-title: Social Networks
– volume: 33
  start-page: 1
  issue: 2
  year: 2010
  end-page: 22
  article-title: MCMC methods for multi‐response generalized linear mixed models: The MCMCglmm R package
  publication-title: Journal of Statistical Software
– volume: 282
  issue: 1802
  year: 2015
  article-title: Experimental manipulation of avian social structure reveals segregation is carried over across contexts
  publication-title: Proceedings of the Royal Society B: Biological Sciences
– volume: 139
  start-page: 1870
  issue: 14
  year: 2012
  end-page: 1887
  article-title: Spatial parasite ecology and epidemiology: A review of methods and applications
  publication-title: Parasitology
– ident: e_1_2_11_124_1
  doi: 10.7208/chicago/9780226895246.001.0001
– ident: e_1_2_11_63_1
  doi: 10.1126/science.aaa2478
– ident: e_1_2_11_92_1
  doi: 10.1111/1365-2656.12088
– ident: e_1_2_11_108_1
  doi: 10.1111/2041-210X.13366
– ident: e_1_2_11_47_1
  doi: 10.1111/2041-210X.13355
– ident: e_1_2_11_58_1
  doi: 10.18637/jss.v024.i03
– ident: e_1_2_11_33_1
  doi: 10.1098/rspb.2015.3078
– volume: 385526
  year: 2018
  ident: e_1_2_11_84_1
  article-title: Spatial autocorrelation: Bane or bonus?
  publication-title: BioRxiv
– ident: e_1_2_11_87_1
  doi: 10.1007/s00265-015-1906-0
– ident: e_1_2_11_41_1
  doi: 10.1098/rspb.2014.2350
– volume-title: Animal social networks
  year: 2015
  ident: e_1_2_11_64_1
– ident: e_1_2_11_29_1
  doi: 10.1111/1365-2656.12013
– ident: e_1_2_11_35_1
  doi: 10.1111/2041-210X.12121
– ident: e_1_2_11_72_1
  doi: 10.1111/j.1365-2656.2005.01013.x
– ident: e_1_2_11_77_1
  doi: 10.7554/eLife.38473
– ident: e_1_2_11_122_1
  doi: 10.1111/brv.12236
– ident: e_1_2_11_68_1
  doi: 10.1111/j.1467-9868.2011.00777.x
– ident: e_1_2_11_15_1
  doi: 10.1016/j.tmaid.2019.101474
– ident: e_1_2_11_121_1
  doi: 10.1126/science.aas8694
– ident: e_1_2_11_22_1
  doi: 10.1098/rstb.2014.0107
– ident: e_1_2_11_69_1
  doi: 10.1098/rspb.2014.0218
– ident: e_1_2_11_57_1
  doi: 10.1111/2041-210X.13361
– ident: e_1_2_11_18_1
  doi: 10.1111/j.1365-294X.2012.05653.x
– ident: e_1_2_11_19_1
  doi: 10.1098/rspb.2007.0998
– ident: e_1_2_11_27_1
  doi: 10.1016/j.socnet.2010.12.001
– ident: e_1_2_11_88_1
  doi: 10.1017/S0031182012000698
– ident: e_1_2_11_94_1
  doi: 10.1038/s41597-019-0056-z
– ident: e_1_2_11_112_1
  doi: 10.1111/aje.12641
– volume: 30
  start-page: 2009
  issue: 10
  year: 2016
  ident: e_1_2_11_7_1
  article-title: Integrating social network data into GISystems
  publication-title: International Journal of Geographical Information Science
– ident: e_1_2_11_103_1
  doi: 10.1111/2041-210X.12770
– ident: e_1_2_11_99_1
  doi: 10.1080/01621459.2014.988214
– ident: e_1_2_11_75_1
  doi: 10.1098/rspb.2018.0670
– year: 2020
  ident: e_1_2_11_6_1
  article-title: Fine‐scale spatial patterns of wildlife disease are common and understudied
  publication-title: BioRxiv
– ident: e_1_2_11_21_1
  doi: 10.1038/250539a0
– start-page: 971
  volume-title: Socially interacting or indifferent neighbours? Randomization of movement paths to tease apart social preference and spatial constraints
  year: 2016
  ident: e_1_2_11_109_1
– ident: e_1_2_11_104_1
  doi: 10.1016/j.tree.2018.03.008
– ident: e_1_2_11_129_1
  doi: 10.1111/ele.12654
– ident: e_1_2_11_70_1
  doi: 10.1038/srep31790
– ident: e_1_2_11_116_1
  doi: 10.1046/j.1365-2656.2000.00437.x
– ident: e_1_2_11_32_1
  doi: 10.1111/oik.07148
– ident: e_1_2_11_60_1
  doi: 10.1016/j.tree.2016.01.011
– ident: e_1_2_11_125_1
  doi: 10.1111/2041-210X.12383
– year: 2019
  ident: e_1_2_11_78_1
  article-title: Individual differences in behaviour explain variation in survival: A meta‐analysis
  publication-title: EcoEvoRxiv Preprints
– ident: e_1_2_11_85_1
  doi: 10.1002/ece3.5071
– ident: e_1_2_11_20_1
  doi: 10.1016/j.anbehav.2014.07.023
– ident: e_1_2_11_12_1
  doi: 10.1093/icb/icz007
– start-page: 2020.05.26.2011
  year: 2020
  ident: e_1_2_11_40_1
  article-title: Combining fine‐scale social contact data with epidemic modelling reveals interactions between contact tracing, quarantine, testing and physical distancing for controlling COVID‐19
  publication-title: MedRxiv
– ident: e_1_2_11_9_1
  doi: 10.1016/j.tree.2019.10.001
– year: 2020
  ident: e_1_2_11_5_1
  article-title: Negative density‐dependent parasitism in a group‐living carnivore
  publication-title: BioRxiv
– ident: e_1_2_11_34_1
  doi: 10.1016/j.cobeha.2016.09.006
– ident: e_1_2_11_101_1
  doi: 10.1016/j.anbehav.2017.09.008
– ident: e_1_2_11_25_1
  doi: 10.1016/S0003-3472(70)80029-X
– ident: e_1_2_11_26_1
  doi: 10.1038/2101200a0
– ident: e_1_2_11_39_1
  doi: 10.1038/s41559-018-0670-8
– ident: e_1_2_11_105_1
  doi: 10.1016/j.anbehav.2017.08.005
– ident: e_1_2_11_17_1
  doi: 10.1371/journal.pone.0213910
– ident: e_1_2_11_31_1
  doi: 10.1111/ele.12917
– ident: e_1_2_11_80_1
  doi: 10.1073/pnas.0800375105
– volume-title: ASReml user guide
  year: 2009
  ident: e_1_2_11_48_1
– ident: e_1_2_11_42_1
  doi: 10.1111/ele.12669
– ident: e_1_2_11_67_1
  doi: 10.18637/jss.v063.i19
– volume: 73
  issue: 9
  year: 2019
  ident: e_1_2_11_55_1
  article-title: The role of habitat configuration in shaping social structure: A gap in studies of animal social complexity
  publication-title: Behavioral Ecology and Sociobiology
– ident: e_1_2_11_49_1
  doi: 10.1111/j.1461-0248.2009.01306.x
– ident: e_1_2_11_128_1
  doi: 10.1111/j.1467-9868.2010.00749.x
– ident: e_1_2_11_52_1
  doi: 10.1111/j.1461-0248.2009.01370.x
– ident: e_1_2_11_97_1
  doi: 10.1111/2041-210X.13235
– ident: e_1_2_11_83_1
  doi: 10.1186/s40317-016-0111-x
– ident: e_1_2_11_66_1
  doi: 10.1093/beheco/araa002
– start-page: 169573
  year: 2018
  ident: e_1_2_11_95_1
  article-title: Revealing mechanisms of infectious disease transmission through empirical contact networks
  publication-title: BioRxiv
– ident: e_1_2_11_117_1
  doi: 10.1111/1365-2656.12137
– ident: e_1_2_11_44_1
  doi: 10.1111/1365-2656.12751
– ident: e_1_2_11_3_1
  doi: 10.1093/icb/icz016
– ident: e_1_2_11_110_1
  doi: 10.1111/1365-2656.12617
– ident: e_1_2_11_50_1
  doi: 10.18637/jss.v033.i02
– ident: e_1_2_11_54_1
  doi: 10.1093/icb/icr062
– ident: e_1_2_11_16_1
  doi: 10.1017/S0031182008000322
– ident: e_1_2_11_102_1
  doi: 10.1093/biosci/biw175
– ident: e_1_2_11_106_1
  doi: 10.1098/rstb.2018.0211
– ident: e_1_2_11_38_1
  doi: 10.1098/rsos.150057
– volume-title: gdm: Generalized dissimilarity modeling
  year: 2018
  ident: e_1_2_11_74_1
– ident: e_1_2_11_8_1
  doi: 10.1098/rstb.2016.0087
– ident: e_1_2_11_100_1
  doi: 10.1027/1614-2241.2.1.24
– ident: e_1_2_11_111_1
  doi: 10.1111/j.1558-5646.2012.01620.x
– ident: e_1_2_11_126_1
  doi: 10.1371/journal.pntd.0007565
– ident: e_1_2_11_59_1
  doi: 10.1111/j.1365-2907.2006.00080.x
– ident: e_1_2_11_28_1
  doi: 10.1098/rsif.2014.1004
– ident: e_1_2_11_86_1
  doi: 10.1371/journal.pcbi.1002786
– ident: e_1_2_11_10_1
  doi: 10.1111/1365-2656.13166
– ident: e_1_2_11_11_1
  doi: 10.1098/rstb.2017.0089
– ident: e_1_2_11_45_1
  doi: 10.1007/s00265-009-0865-8
– ident: e_1_2_11_127_1
  doi: 10.1111/j.1365-294X.2007.03362.x
– ident: e_1_2_11_2_1
  doi: 10.1016/j.socnet.2011.10.007
– ident: e_1_2_11_120_1
  doi: 10.1016/j.anbehav.2019.01.010
– ident: e_1_2_11_123_1
  doi: 10.1111/1365-2656.12761
– volume: 3
  start-page: 1241
  issue: 8
  year: 2013
  ident: e_1_2_11_56_1
  article-title: Animal models and integrated nested laplace approximations
  publication-title: Genes|Genomes|Genetics
  doi: 10.1534/g3.113.006700
– ident: e_1_2_11_118_1
  doi: 10.1086/708721
– ident: e_1_2_11_93_1
  doi: 10.1111/1365-2656.12786
– ident: e_1_2_11_62_1
  doi: 10.1038/s41598-020-69057-0
– ident: e_1_2_11_71_1
  doi: 10.1038/s41598-018-35174-0
– ident: e_1_2_11_90_1
  doi: 10.1111/2041-210X.13215
– ident: e_1_2_11_107_1
  doi: 10.1098/rstb.2010.0078
– year: 2020
  ident: e_1_2_11_4_1
  article-title: Spatial point locations explain a range of social network positions in a wild ungulate
  publication-title: BioRxiv
– ident: e_1_2_11_115_1
  doi: 10.2307/143141
– year: 2019
  ident: e_1_2_11_79_1
  article-title: A multilayer perspective for inferring spatial and social functioning in animal movement networks
  publication-title: BioRxiv
– ident: e_1_2_11_73_1
  doi: 10.1371/journal.pone.0051144
– ident: e_1_2_11_65_1
  doi: 10.1098/rstb.2003.1437
– year: 2020
  ident: e_1_2_11_81_1
  article-title: Estimating encounter location distributions from animal tracking data
  publication-title: BioRxiv
– ident: e_1_2_11_89_1
  doi: 10.1098/rsif.2015.0705
– ident: e_1_2_11_36_1
  doi: 10.1016/j.anbehav.2014.11.019
– ident: e_1_2_11_51_1
  doi: 10.1111/1365-2664.13512
– ident: e_1_2_11_119_1
  doi: 10.1111/1365-2656.12773
– ident: e_1_2_11_13_1
  doi: 10.1111/ele.12428
– start-page: 6
  year: 2020
  ident: e_1_2_11_91_1
  article-title: The trade‐off between information and pathogen transmission in animal societies
  publication-title: BioRxiv
– ident: e_1_2_11_96_1
  doi: 10.1007/s10393-017-1233-1
– ident: e_1_2_11_30_1
  doi: 10.1016/j.ijid.2007.04.001
– ident: e_1_2_11_98_1
  doi: 10.1080/13658816.2018.1498097
– ident: e_1_2_11_43_1
  doi: 10.1098/rspb.2017.0299
– ident: e_1_2_11_14_1
  doi: 10.1007/978-3-030-02607-3_37
– ident: e_1_2_11_46_1
  doi: 10.1073/pnas.1007997107
– ident: e_1_2_11_53_1
  doi: 10.1111/1365-2656.13307
– ident: e_1_2_11_61_1
  doi: 10.1098/rsif.2016.0676
– ident: e_1_2_11_113_1
  doi: 10.1126/science.aat4793
– year: 2019
  ident: e_1_2_11_37_1
  article-title: How to characterise shared space use networks
  publication-title: bioRxiv
– ident: e_1_2_11_114_1
  doi: 10.1371/journal.pone.0197720
– ident: e_1_2_11_23_1
  doi: 10.1515/9781400837762
– volume-title: The evolution of social organisation and visual communication in the weaver birds (Ploceinae)
  year: 1964
  ident: e_1_2_11_24_1
  doi: 10.1163/9789004629172
– volume: 13
  start-page: 1
  issue: 3
  year: 2018
  ident: e_1_2_11_82_1
  article-title: Consistent individual differences and population plasticity in network‐derived sociality: An experimental manipulation of density in a gregarious ungulate
  publication-title: PLoS ONE
– ident: e_1_2_11_76_1
  doi: 10.1111/1365-2656.13176
SSID ssj0007203
Score 2.5900724
SecondaryResourceType review_article
Snippet Social network analysis has achieved remarkable popularity in disease ecology, and is sometimes carried out without investigating spatial heterogeneity. Many...
SourceID proquest
pubmed
crossref
wiley
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 45
SubjectTerms animal ecology
Animals
Covariance
disease ecology
Ecology
Heterogeneity
Inference
methodology
Models, Biological
Network analysis
parasite transmission
Reliability analysis
Reproducibility of Results
Social analysis
Social behavior
Social Network Analysis
Social networks
Social organization
Spatial Analysis
Spatial data
Spatial heterogeneity
spatial variation
Spatial variations
Title Unifying spatial and social network analysis in disease ecology
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2F1365-2656.13356
https://www.ncbi.nlm.nih.gov/pubmed/32984944
https://www.proquest.com/docview/2476535866
https://www.proquest.com/docview/2446990930
https://www.proquest.com/docview/2551924617
Volume 90
WOSCitedRecordID wos000577428400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVWIB
  databaseName: Wiley Online Library Free Content
  customDbUrl:
  eissn: 1365-2656
  dateEnd: 20231209
  omitProxy: false
  ssIdentifier: ssj0007203
  issn: 0021-8790
  databaseCode: WIN
  dateStart: 19980101
  isFulltext: true
  titleUrlDefault: https://onlinelibrary.wiley.com
  providerName: Wiley-Blackwell
– providerCode: PRVWIB
  databaseName: Wiley Online Library Full Collection 2020
  customDbUrl:
  eissn: 1365-2656
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0007203
  issn: 0021-8790
  databaseCode: DRFUL
  dateStart: 19980101
  isFulltext: true
  titleUrlDefault: https://onlinelibrary.wiley.com
  providerName: Wiley-Blackwell
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3daxQxEB9qq-CLWrV6Wo8t-ODL1iSbzycp2qMVOUqpePiyZPMBBdmTXiv0v3eS7C1WURF8C7uZJTvJZGYyk98AvGSCEU8JqaOODh0UHeuucay2msROS-0dd7nYhJrP9WJhToZswnQXpuBDjAduSTLyfp0E3HarH4R8yM8Sch_dLJFAtymnqYbBp-P5uBenIGNJ8qAo94YM4D4pl-cn-pt66Rdj86btmpXP7P5_GPYDuDdYntVBWSrbsBH6h3Cn1KK8xtbnZW49gjdoh-bbT9UqpVsjje19VQ7Xq76kjeOjAmZSnffVEOSpQkbAvn4MZ7PDs7dH9VBnoXYpmlvLVDnUK8-NF6RDt9I64yTxQncmWB4aH6lrFImoyiiz0qMREDseNRWKadvswGa_7MNTqBzTOsToo7D46Y520lCunApMWrRb1AT210xu3YBBnkphfGnXvkhiT5vY02b2TODVSPC1wG_8vuvuetbaQQ5XLeNKikZoia_3xtcoQSksYvuwvEp9uESdbBryhz5oWJoEvYe_8KSsiHE8DTOaG84n8DpP_N8G2r4_mB_m1rN_pngOd1lay_kMaBc2Ly-uwgu47b5dnq8upnBLLfQUtt6dzj5-mGZJ-A7KXf-r
linkProvider Wiley-Blackwell
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NSx0xEB-sttSLttba50e7BQ-97DObTbLJSaQo2to9Pah4WbL5AEH2iU8F__tOkn2Ltmgp9BY2H2QnmcwvM5MZgF3KKbEFIbmX3uAFRfq8LQ3NtSS-lUJaw0xMNlHVtTw7Uw_fwqT4EIPCLXBGPK8DgweF9AMu7x20uBjjPYuLF7DEEG6E9A0_T-rhNA5mxuTmUSDnK9KH9wnePL8N8Fgy_QE3H6PXKH6OVv_HxN_ASg8-s4O0W97CguvW4FVKR3mPpfNpLL2DfYSi8QFUNgse19hHdzZL-vWsS57j-CnFM8kuuqy382QuBsG-X4fJ0eHk63Hep1rITTDo5iIkD7WVZcpy0uLNUhtlBLFctspp5krrC1NWxKM0K6gWFnGAb5mXBa-o1OV7WOymnfsAmaFSOu-t5xqHbotWqIJVpnJUaIQu1QjGcyo3pg9DHrJhXDbz60ggTxPI00TyjODL0OEqReB4uun2fNmanhVnDWWV4CWXAqs_D9XIRMEyojs3vQ1tmECxrEryTBvElipE38Nf2EhbYphPSZVkirER7MWV_9tEm28H9WEsbf5zj0_w-njy47Q5Pam_b8EyDRs7qoS2YfHm-tbtwEtzd3Mxu_4YGeEX1ckBUA
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3dSxwxEB_qWYsvta2tXv3oFvrgy2o2m2STpyLVQ1s5pChIX5ZsPkAoe-Kp4H_fSbK3-IEtQt_C5oPsJJP5TWYyA_CFckpsQUjupTeooEifN6WhuZbEN1JIa5iJySaq8Vienam7b2FSfIj-wi1wRjyvA4O7C-vvcHnnoMXFNupZXMzBPAupZAYwv_dzdHrUn8fB0JgcPQrkfUW6AD_Bn-fBEPdl0yPAeR-_RgE0WvofU38Drzv4me2m_fIWXrj2HSykhJS3WPo1iaVl-IpgND6ByqbB5xr76NZm6YY9a5PvOH5KEU2y8zbrLD2Zi2Gwb9_DyWj_5NtB3iVbyE0w6eYipA-1lWXKctKgbqmNMoJYLhvlNHOl9YUpK-JRnhVUC4tIwDfMy4JXVOryAwzaSetWITNUSue99Vzj0E3RCFWwylSOCo3gpRrC9ozKtekCkYd8GL_rmUISyFMH8tSRPEPY6jtcpBgcTzddny1b3THjtKasErzkUmD1574a2SjYRnTrJtehDRMomFVJ_tIG0aUK8ffwF1bSlujnU1IlmWJsCDtx5f810fr77ng_lj4-u8cneHW8N6qPDsc_1mCRhn0d74TWYXB1ee024KW5uTqfXm52nPAHgiQB-Q
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Unifying+spatial+and+social+network+analysis+in+disease+ecology&rft.jtitle=The+Journal+of+animal+ecology&rft.au=Albery%2C+Gregory+F&rft.au=Kirkpatrick%2C+Lucinda&rft.au=Firth%2C+Josh+A&rft.au=Bansal%2C+Shweta&rft.date=2021-01-01&rft.pub=Blackwell+Publishing+Ltd&rft.issn=0021-8790&rft.eissn=1365-2656&rft.volume=90&rft.issue=1&rft.spage=45&rft.epage=61&rft_id=info:doi/10.1111%2F1365-2656.13356&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0021-8790&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0021-8790&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0021-8790&client=summon