Who Counts Where? COVID-19 Surveillance in Federal Countries.

IF 3.3 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Health Politics Policy and Law Pub Date : 2021-12-01 DOI:10.1215/03616878-9349114
Philip Rocco, Jessica A J Rich, Katarzyna Klasa, Kenneth A Dubin, Daniel Béland
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引用次数: 12

Abstract

Context: While the World Health Organization (WHO) has established guidance on COVID-19 surveillance, little is known about implementation of these guidelines in federations, which fragment authority across multiple levels of government. This study examines how subnational governments in federal democracies collect and report data on COVID-19 cases and mortality associated with COVID-19.

Methods: We collected data from subnational government websites in 15 federal democracies to construct indices of COVID-19 data quality. Using bivariate and multivariate regression, we analyzed the relationship between these indices and indicators of state capacity, the decentralization of resources and authority, and the quality of democratic institutions. We supplement these quantitative analyses with qualitative case studies of subnational COVID-19 data in Brazil, Spain, and the United States.

Findings: Subnational governments in federations vary in their collection of data on COVID-19 mortality, testing, hospitalization, and demographics. There are statistically significant associations (p < 0.05) between subnational data quality and key indicators of public health system capacity, fiscal decentralization, and the quality of democratic institutions. Case studies illustrate the importance of both governmental and civil-society institutions that foster accountability.

Conclusions: The quality of subnational COVID-19 surveillance data in federations depends in part on public health system capacity, fiscal decentralization, and the quality of democracy.

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谁在哪里算?联邦国家的COVID-19监测。
背景:虽然世界卫生组织(世卫组织)已制定了COVID-19监测指南,但对这些指南在联邦的实施情况知之甚少,这些指南将权力分散到多个级别的政府。本研究探讨了联邦民主国家的地方政府如何收集和报告COVID-19病例和与COVID-19相关的死亡率数据。方法:收集15个联邦民主国家的地方政府网站数据,构建COVID-19数据质量指标。利用双变量和多变量回归,我们分析了这些指数与国家能力、资源和权力下放以及民主制度质量等指标之间的关系。我们对巴西、西班牙和美国的次国家级COVID-19数据进行了定性案例研究,补充了这些定量分析。调查结果:联邦的地方政府在收集COVID-19死亡率、检测、住院率和人口统计数据方面存在差异。地方数据质量与公共卫生系统能力、财政分权和民主制度质量等关键指标之间存在统计学显著关联(p < 0.05)。案例研究说明了促进问责制的政府和民间社会机构的重要性。结论:联邦地方COVID-19监测数据的质量在一定程度上取决于公共卫生系统能力、财政分权和民主质量。
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来源期刊
CiteScore
7.30
自引率
7.10%
发文量
46
审稿时长
>12 weeks
期刊介绍: A leading journal in its field, and the primary source of communication across the many disciplines it serves, the Journal of Health Politics, Policy and Law focuses on the initiation, formulation, and implementation of health policy and analyzes the relations between government and health—past, present, and future.
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