Political regime, data transparency, and COVID-19 death cases
The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot inte...
Uloženo v:
| Vydáno v: | SSM - population health Ročník 15; s. 100832 |
|---|---|
| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
England
Elsevier Ltd
01.09.2021
Elsevier |
| Témata: | |
| ISSN: | 2352-8273, 2352-8273 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries.
•Authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts.•Data transparency is positively correlated with the number of death cases more consistently.•The findings point to the possibility of data manipulation as a plausible source for fewer deaths in authoritarian governments. |
|---|---|
| AbstractList | The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries. The COVID-19-the worst pandemic since the Spanish flu-has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries.The COVID-19-the worst pandemic since the Spanish flu-has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries. The COVID-19-the worst pandemic since the Spanish flu-has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently ( <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries. The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries. • Authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts. • Data transparency is positively correlated with the number of death cases more consistently. • The findings point to the possibility of data manipulation as a plausible source for fewer deaths in authoritarian governments. The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the disease. Some scholars argue that democratic governments are disadvantaged in coping with the current pandemic mainly because they cannot intervene in their citizens' lives as aggressively as their authoritarian counterparts. Other scholars, however, suggest that possible data manipulation may account for the apparent advantage of authoritarian countries. Taking such a possibility seriously, this paper analyzes the relationship between political regimes, data transparency, and COVID-19 deaths using cross-national data for over 108 countries, obtained from Worldometer COVID-19 Data, Polity V Project, Variety of Democracy (V-Dem) Project, HRV Transparency Project among other sources. Regression analyses indicate that authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts after controlling for other factors, especially data transparency. The transparency variable itself, on the other hand, is positively correlated with the number of death cases more consistently (P <0.05). Overall, the estimation results point to the possible data manipulation, not the nature of regime characteristics itself, as a more significant source for the seemingly low casualty rates in authoritarian countries. •Authoritarian countries do not necessarily tend to have fewer COVID-19 deaths than their democratic counterparts.•Data transparency is positively correlated with the number of death cases more consistently.•The findings point to the possibility of data manipulation as a plausible source for fewer deaths in authoritarian governments. |
| ArticleNumber | 100832 |
| Author | Annaka, Susumu |
| Author_xml | – sequence: 1 givenname: Susumu orcidid: 0000-0001-5531-8292 surname: Annaka fullname: Annaka, Susumu email: annaka@aoni.waseda.jp organization: Waseda Institute for Advanced Study, Waseda University, 1-104 Totsukamachi, Shinjuku-ku, Tokyo, 169-8050, Japan |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34189240$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kU1v1DAQhi1URD_oL0BCOXJoFn8kjn0oEloorFSpHICrNbEnu14l8WJnK_Xf421a1HLoyaPxvM-rmfeUHI1hRELeMbpglMmP20VKw26z4JSz3KFK8FfkhIual4o34uhJfUzOU9pSmmU1Y0K-IceiYkrzip6Qyx-h95O30BcR137Ai8LBBMUUYUw7iDjau4sCRlcsb36vvpRMFw5h2hQWEqa35HUHfcLzh_eM_Lr6-nP5vby--bZafr4uba3ZVKJqZe2QW9owKp1EJxwgOOVkLhrbOu2ElZ0TsqUVk7p2ILpGNcJxJnQrzshq5roAW7OLfoB4ZwJ4c98IcW0g5i16NBXQTgvRUYVtxZnTVFZOVAKbrlOVsJn1aWbt9u2AzuKYd-2fQZ__jH5j1uHWKM601jIDPjwAYvizxzSZwSeLfQ8jhn0yvK6kVqymPI--f-r1z-Tx_nlAzwM2hpQidsb6CSYfDta-N4yaQ9xma-7jNoe4zRx31or_tI_4l1WXswpzXrceo0nW55TR-Yh2ygf1L-r_AmZPw44 |
| CitedBy_id | crossref_primary_10_7759_cureus_29990 crossref_primary_10_1186_s12889_022_12985_5 crossref_primary_10_1016_j_futures_2023_103119 crossref_primary_10_1038_s41598_024_55523_6 crossref_primary_10_1177_20578911251326137 crossref_primary_10_1186_s12889_023_16172_y crossref_primary_10_3389_fpubh_2022_922230 crossref_primary_10_58658_kaypod_1688261 crossref_primary_10_1017_S0143814X24000163 crossref_primary_10_1108_TG_12_2022_0160 crossref_primary_10_1007_s40797_024_00285_3 crossref_primary_10_1007_s40888_025_00365_2 crossref_primary_10_17550_akademikincelemeler_1589747 crossref_primary_10_1002_pad_1999 crossref_primary_10_1080_09668136_2025_2512121 crossref_primary_10_3390_ijerph182010783 crossref_primary_10_1017_asjcl_2022_32 crossref_primary_10_1017_S0007123422000527 crossref_primary_10_1146_annurev_polisci_051120_014707 crossref_primary_10_1080_13510347_2024_2448846 crossref_primary_10_1177_10659129241252811 crossref_primary_10_1007_s43545_025_01163_0 crossref_primary_10_1017_jea_2023_26 crossref_primary_10_1080_13510347_2022_2069751 crossref_primary_10_1136_jech_2022_218920 crossref_primary_10_1007_s10663_025_09660_4 crossref_primary_10_1016_j_ijdrr_2022_103437 crossref_primary_10_1017_S1468109924000069 crossref_primary_10_1111_psq_70003 crossref_primary_10_3390_ijerph19095667 crossref_primary_10_1080_00207659_2022_2086729 |
| Cites_doi | 10.1177/1536867X1501500201 10.1561/113.00000021 10.1093/pan/mpu001 10.1016/j.jeem.2011.08.003 10.1215/03616878-8641530 10.1177/1065912918798506 10.1038/s41598-020-68862-x |
| ContentType | Journal Article |
| Copyright | 2021 The Author 2021 The Author. 2021 The Author 2021 |
| Copyright_xml | – notice: 2021 The Author – notice: 2021 The Author. – notice: 2021 The Author 2021 |
| DBID | 6I. AAFTH AAYXX CITATION NPM 7X8 5PM DOA |
| DOI | 10.1016/j.ssmph.2021.100832 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef PubMed MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic PubMed |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2352-8273 |
| ExternalDocumentID | oai_doaj_org_article_4a0f933f08eb421d9064d343e7ff843c PMC8219996 34189240 10_1016_j_ssmph_2021_100832 S2352827321001075 |
| Genre | Journal Article |
| GroupedDBID | 0R~ 0SF 457 53G 5VS 6I. AACTN AAEDW AAFTH AALRI AAXUO ABMAC ACGFS ADBBV ADEZE AEXQZ AFTJW AGHFR AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ AOIJS BCNDV EBS EJD FDB GROUPED_DOAJ HYE IPNFZ KQ8 M~E NCXOZ O9- OK1 RIG ROL RPM SSZ AAYWO AAYXX ADVLN AFJKZ APXCP CITATION NPM 7X8 5PM |
| ID | FETCH-LOGICAL-c591t-e8b65de2c07106d6ed3daead8d63da7cbd9d3c6fd36b041695da3f7873d2139b3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 47 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000697998100015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2352-8273 |
| IngestDate | Fri Oct 03 12:51:00 EDT 2025 Tue Sep 30 16:51:26 EDT 2025 Wed Oct 01 14:50:47 EDT 2025 Thu Jan 02 22:34:06 EST 2025 Wed Nov 12 18:37:53 EST 2025 Tue Nov 18 22:14:55 EST 2025 Tue Jul 25 21:00:17 EDT 2023 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | COVID-19 Data manipulation Political regime Data transparency |
| Language | English |
| License | This is an open access article under the CC BY license. 2021 The Author. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c591t-e8b65de2c07106d6ed3daead8d63da7cbd9d3c6fd36b041695da3f7873d2139b3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0001-5531-8292 |
| OpenAccessLink | https://doaj.org/article/4a0f933f08eb421d9064d343e7ff843c |
| PMID | 34189240 |
| PQID | 2546981502 |
| PQPubID | 23479 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_4a0f933f08eb421d9064d343e7ff843c pubmedcentral_primary_oai_pubmedcentral_nih_gov_8219996 proquest_miscellaneous_2546981502 pubmed_primary_34189240 crossref_citationtrail_10_1016_j_ssmph_2021_100832 crossref_primary_10_1016_j_ssmph_2021_100832 elsevier_sciencedirect_doi_10_1016_j_ssmph_2021_100832 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-09-01 |
| PublicationDateYYYYMMDD | 2021-09-01 |
| PublicationDate_xml | – month: 09 year: 2021 text: 2021-09-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | SSM - population health |
| PublicationTitleAlternate | SSM Popul Health |
| PublicationYear | 2021 |
| Publisher | Elsevier Ltd Elsevier |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier |
| References | Frey, Presidente, Chen (bib7) 2020; 18 Cheibub, Hong, Przeworski (bib5) 2020 (bib12) 2020 Thomson, Ip (bib21) 2020 Cassan, Steenvoort (bib3) 2020 Hale, Webster, Petherick, Phillips, Kira (bib10) 2020 Martin, Muûls, dePreux, Wagner (bib19) 2012; 63 Hollyer, Rosendorff, Vreeland (bib11) 2014; 22 Cepaluni, Dorsch, Branyiczki (bib4) 2020 Marshall, Jaggers, Gurr (bib18) 2020 Coppedge, Gerring, Knutsen, Lindberg, Teorell, Altman, Bernhard, Fish, Glynn, Hicken (bib6) 2020 Kapoor, Malani, Ravi, Agrawal (bib13) 2020 Liang, Tseng, Ho (bib16) 2020; 10 Wang, Mechkova, Andersson (bib22) 2019; 72 Gerring, Knutsen, Mguire, Skaaning, Teorell, Coppedge (bib8) 2020 Gluzmann, Panigo (bib9) 2015; 15 Adiguzel, Cansunar, Corekcioglu (bib1) 2020; 1 Alsan, Braghieri, Eichmeyer, Kim, Stantcheva, Yang (bib2) 2020 Lindsey (bib17) 2014 (bib24) 2020 Norheim, Abi-Rached, Bright (bib20) 2020 Karáth (bib14) 2020; 370 Kavanagh, Singh (bib15) 2020; 45 Hollyer (10.1016/j.ssmph.2021.100832_bib11) 2014; 22 Frey (10.1016/j.ssmph.2021.100832_bib7) 2020; 18 Kapoor (10.1016/j.ssmph.2021.100832_bib13) 2020 Kavanagh (10.1016/j.ssmph.2021.100832_bib15) 2020; 45 (10.1016/j.ssmph.2021.100832_bib12) 2020 Cheibub (10.1016/j.ssmph.2021.100832_bib5) 2020 (10.1016/j.ssmph.2021.100832_bib24) 2020 Cepaluni (10.1016/j.ssmph.2021.100832_bib4) 2020 Martin (10.1016/j.ssmph.2021.100832_bib19) 2012; 63 Cassan (10.1016/j.ssmph.2021.100832_bib3) 2020 Wang (10.1016/j.ssmph.2021.100832_bib22) 2019; 72 Gluzmann (10.1016/j.ssmph.2021.100832_bib9) 2015; 15 Adiguzel (10.1016/j.ssmph.2021.100832_bib1) 2020; 1 Coppedge (10.1016/j.ssmph.2021.100832_bib6) 2020 Liang (10.1016/j.ssmph.2021.100832_bib16) 2020; 10 Karáth (10.1016/j.ssmph.2021.100832_bib14) 2020; 370 Lindsey (10.1016/j.ssmph.2021.100832_bib17) 2014 Thomson (10.1016/j.ssmph.2021.100832_bib21) 2020 Gerring (10.1016/j.ssmph.2021.100832_bib8) 2020 Alsan (10.1016/j.ssmph.2021.100832_bib2) 2020 Marshall (10.1016/j.ssmph.2021.100832_bib18) 2020 Norheim (10.1016/j.ssmph.2021.100832_bib20) 2020 Hale (10.1016/j.ssmph.2021.100832_bib10) 2020 |
| References_xml | – volume: 18 year: 2020 ident: bib7 article-title: Democracy, culture, and contagion: Political regimes and countries responsiveness to covid-19 publication-title: Covid Economics – year: 2020 ident: bib12 article-title: COVID 19 Data Repository – year: 2020 ident: bib20 article-title: Difficult tradeoffs in response to COVID-19: The case for open and inclusive decision making publication-title: Nature Medicine – year: 2020 ident: bib6 article-title: V-Dem [Count ry–Year/Country–Date] Dataset v10. Varieties of Democracy (V-Dem) Project – volume: 45 start-page: 997 year: 2020 end-page: 1012 ident: bib15 article-title: Democracy, capacity, and coercion in pandemic response: COVID-19 in comparative political perspective publication-title: Journal of Health Political Policy Law. December 1 – start-page: 1 year: 2020 end-page: 33 ident: bib21 article-title: COVID-19 emergency measures and the impending authoritarian pandemic publication-title: Journal of Law and the Biosciences – year: 2020 ident: bib10 article-title: Oxford COVID 19 government response tracker – volume: 72 start-page: 554 year: 2019 end-page: 569 ident: bib22 article-title: Does democracy enhance health? New empirical evidence 1900–2012 publication-title: Political Research Quarterly – volume: 10 start-page: 12567 year: 2020 ident: bib16 article-title: Covid-19 mortality is negatively associated with test number and government effectiveness publication-title: Science Report – year: 2020 ident: bib4 article-title: Political Regimes and Deaths in the Early Stages of the COVID-19 Pandemic – volume: 22 start-page: 413 year: 2014 end-page: 434 ident: bib11 article-title: Measuring transparency publication-title: Political Analysis – year: 2020 ident: bib8 article-title: Democracy and human development: Issues of conceptualization and measurement publication-title: Democratization – volume: 63 start-page: 208 year: 2012 end-page: 223 ident: bib19 article-title: Anatomy of a paradox: Management practices, organizational structure and energy efficiency publication-title: Journal of Environmental Economics and Management – volume: 15 start-page: 325 year: 2015 end-page: 349 ident: bib9 article-title: Global search regression: A new automatic model-selection technique for cross-section, time-series, and panel-data regressions publication-title: The Stata Journal – year: 2020 ident: bib3 article-title: Political regime and COVID 19 death rate: Efficient, biasing or simply different autocracies? – year: 2020 ident: bib2 article-title: Civil liberties in times of crisis national bureau of economic research – year: 2020 ident: bib13 article-title: Authoritarian governments appear to manipulate COVID data – volume: 370 year: 2020 ident: bib14 article-title: Covid-19: How does Belarus have one of the lowest death rates in europe? publication-title: BMJ.2020 – year: 2014 ident: bib17 article-title: VSELECT: Stata module to perform linear regression variable selection publication-title: Statistical software components S457808 – year: 2020 ident: bib24 article-title: Worldometer COVID-19 data – volume: 1 start-page: 543 year: 2020 end-page: 557 ident: bib1 article-title: Truth or dare? Detecting systematic manipulation of COVID-19 statistics publication-title: Journal of Political Institutions and Political Economy – year: 2020 ident: bib5 article-title: Rights and deaths: Governmen t reactions to the pandemic – year: 2020 ident: bib18 article-title: Polity V Project, political regime characteristics and transitions, 1800-2018 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib24 – volume: 15 start-page: 325 issue: 2 year: 2015 ident: 10.1016/j.ssmph.2021.100832_bib9 article-title: Global search regression: A new automatic model-selection technique for cross-section, time-series, and panel-data regressions publication-title: The Stata Journal doi: 10.1177/1536867X1501500201 – start-page: 1 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib21 article-title: COVID-19 emergency measures and the impending authoritarian pandemic publication-title: Journal of Law and the Biosciences – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib8 article-title: Democracy and human development: Issues of conceptualization and measurement publication-title: Democratization – year: 2014 ident: 10.1016/j.ssmph.2021.100832_bib17 article-title: VSELECT: Stata module to perform linear regression variable selection – volume: 1 start-page: 543 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib1 article-title: Truth or dare? Detecting systematic manipulation of COVID-19 statistics publication-title: Journal of Political Institutions and Political Economy doi: 10.1561/113.00000021 – volume: 18 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib7 article-title: Democracy, culture, and contagion: Political regimes and countries responsiveness to covid-19 publication-title: Covid Economics – volume: 22 start-page: 413 year: 2014 ident: 10.1016/j.ssmph.2021.100832_bib11 article-title: Measuring transparency publication-title: Political Analysis doi: 10.1093/pan/mpu001 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib6 – volume: 63 start-page: 208 year: 2012 ident: 10.1016/j.ssmph.2021.100832_bib19 article-title: Anatomy of a paradox: Management practices, organizational structure and energy efficiency publication-title: Journal of Environmental Economics and Management doi: 10.1016/j.jeem.2011.08.003 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib12 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib2 – volume: 45 start-page: 997 issue: 6 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib15 article-title: Democracy, capacity, and coercion in pandemic response: COVID-19 in comparative political perspective publication-title: Journal of Health Political Policy Law. December 1 doi: 10.1215/03616878-8641530 – volume: 72 start-page: 554 year: 2019 ident: 10.1016/j.ssmph.2021.100832_bib22 article-title: Does democracy enhance health? New empirical evidence 1900–2012 publication-title: Political Research Quarterly doi: 10.1177/1065912918798506 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib20 article-title: Difficult tradeoffs in response to COVID-19: The case for open and inclusive decision making publication-title: Nature Medicine – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib3 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib5 – volume: 10 start-page: 12567 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib16 article-title: Covid-19 mortality is negatively associated with test number and government effectiveness publication-title: Science Report doi: 10.1038/s41598-020-68862-x – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib13 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib18 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib4 – year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib10 – volume: 370 year: 2020 ident: 10.1016/j.ssmph.2021.100832_bib14 article-title: Covid-19: How does Belarus have one of the lowest death rates in europe? publication-title: BMJ.2020 |
| SSID | ssj0001651136 |
| Score | 2.4272904 |
| Snippet | The COVID-19—the worst pandemic since the Spanish flu—has dramatically changed the world, with a significant number of people suffering from and dying of the... The COVID-19-the worst pandemic since the Spanish flu-has dramatically changed the world, with a significant number of people suffering from and dying of the... |
| SourceID | doaj pubmedcentral proquest pubmed crossref elsevier |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 100832 |
| SubjectTerms | COVID-19 Data manipulation Data transparency Political regime |
| Title | Political regime, data transparency, and COVID-19 death cases |
| URI | https://dx.doi.org/10.1016/j.ssmph.2021.100832 https://www.ncbi.nlm.nih.gov/pubmed/34189240 https://www.proquest.com/docview/2546981502 https://pubmed.ncbi.nlm.nih.gov/PMC8219996 https://doaj.org/article/4a0f933f08eb421d9064d343e7ff843c |
| Volume | 15 |
| WOSCitedRecordID | wos000697998100015&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: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2352-8273 dateEnd: 20241231 omitProxy: false ssIdentifier: ssj0001651136 issn: 2352-8273 databaseCode: DOA dateStart: 20150101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2352-8273 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001651136 issn: 2352-8273 databaseCode: M~E dateStart: 20150101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELWg4sAFgUrLQqmCxHGj7tqxYx84tKUVHGh7gGpvlu2xxSJIUbNF4sJv74yTrDZUKhcuURQ7HzMeZ944kzeMvY3OJEQSrjQ-0WoVyNKooEuRVIhGehDB52IT9dmZXizMxUapL8oJ6-iBO8UdVG6WMOhOMx19xedg0IeCqESsU9KVCPT2RdSzEUzl1RUlqVhJriwnccqjkx4oh3JyV9uirjA65HNKE9CCj9xSZu8feae76PPvJMoNr3T6lD3p4WRx2InxjD2IzTZ71ye1YQPVXfgRpwUlgharTGROf3-F39PCNVAcn19-fF_OTQGEBIuALq19zr6cnnw-_lD2ZRLKIM18VUbtlYTIA6EFBSqCAIcGokHhTh08GNS4SiCUnyH-MhKcSDhRBXDEf17ssK3mqokvWKHrADX3GGM4XkkHTnMv8QQnNHfB6Qnjg5Zs6DnEqZTFdzski32zWbWWVGs71U7YdH3Sz45C4_7uR6T-dVfiv84H0CpsbxX2X1YxYWoYPNtDiQ4i4KWW99_9zTDUFicafT1xTby6aS0VDjAa8TP22e2Gfv2MCAU0BrKzCatHRjESYtzSLL9mMm_NiQhCvfwfUr9ij0mULgVuj22trm_ia_Yo_Fot2-t99rBe6P08T3D76c_JLTApFdw |
| linkProvider | Directory of Open Access Journals |
| 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=Political+regime%2C+data+transparency%2C+and+COVID-19+death+cases&rft.jtitle=SSM+-+population+health&rft.au=Annaka%2C+Susumu&rft.date=2021-09-01&rft.issn=2352-8273&rft.eissn=2352-8273&rft.volume=15&rft.spage=100832&rft_id=info:doi/10.1016%2Fj.ssmph.2021.100832&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_ssmph_2021_100832 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2352-8273&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2352-8273&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2352-8273&client=summon |