Spatial predictive risk mapping of lymphatic filariasis residual hotspots in American Samoa using demographic and environmental factors

American Samoa successfully completed seven rounds of mass drug administration (MDA) for lymphatic filariasis (LF) from 2000-2006. The territory passed the school-based transmission assessment surveys in 2011 and 2015 but failed in 2016. One of the key challenges after the implementation of MDA is t...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	PLoS neglected tropical diseases Ročník 17; číslo 7; s. e0010840
Hlavní autori:	Cadavid Restrepo, Angela M., Martin, Beatris M., Fuimaono, Saipale, Clements, Archie C. A., Graves, Patricia M., Lau, Colleen L.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Public Library of Science 01.07.2023
Predmet:	Antibodies Antigens Bayesian analysis Biology and Life Sciences Control Demographics Demography Disease hot spots Distance Distribution Earth Sciences Elephantiasis Environmental factors Filariasis Geostatistics Health aspects Hot spots Households Infections Islands Land cover Land use Mathematical models Medical research Medicine and Health Sciences Medicine, Experimental Metadata People and places Population Probability theory Public health Rainfall Risk Sample size Sociodemographics Spatial variations Surveillance Surveys Towns Transmission Tropical diseases Vector-borne diseases American Samoa Canada United States > US
ISSN:	1935-2735, 1935-2727, 1935-2735
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Popis
Shrnutí:	American Samoa successfully completed seven rounds of mass drug administration (MDA) for lymphatic filariasis (LF) from 2000-2006. The territory passed the school-based transmission assessment surveys in 2011 and 2015 but failed in 2016. One of the key challenges after the implementation of MDA is the identification of any residual hotspots of transmission. Based on data collected in a 2016 community survey in persons aged ≥8 years, Bayesian geostatistical models were developed for LF antigen (Ag), and Wb123, Bm14, Bm33 antibodies (Abs) to predict spatial variation in infection markers using demographic and environmental factors (including land cover, elevation, rainfall, distance to the coastline and distance to streams). In the Ag model, females had a 26.8% (95% CrI: 11.0-39.8%) lower risk of being Ag-positive than males. There was a 2.4% (95% CrI: 1.8-3.0%) increase in the odds of Ag positivity for every year of age. Also, the odds of Ag-positivity increased by 0.4% (95% CrI: 0.1-0.7%) for each 1% increase in tree cover. The models for Wb123, Bm14 and Bm33 Abs showed similar significant associations as the Ag model for sex, age and tree coverage. After accounting for the effect of covariates, the radii of the clusters were larger for Bm14 and Bm33 Abs compared to Ag and Wb123 Ab. The predictive maps showed that Ab-positivity was more widespread across the territory, while Ag-positivity was more confined to villages in the north-west of the main island. The findings may facilitate more specific targeting of post-MDA surveillance activities by prioritising those areas at higher risk of ongoing transmission.
Bibliografia:	new_version ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 The authors have declared that no competing interests exist.
ISSN:	1935-2735 1935-2727 1935-2735
DOI:	10.1371/journal.pntd.0010840