» Articles » PMID: 38562433

Legislative Incapacity and Underreporting of COVID-19 Mortality

Overview
Journal Prev Med Rep
Date 2024 Apr 2
PMID 38562433
Authors
Affiliations
Soon will be listed here.
Abstract

The prevalent interpretation of COVID-19 mortality underreporting typically focuses on authoritarian regimes' propensity for data manipulation. This study, however, posits that the demand side is integral to enhancing the veracity of COVID-19 mortality figures. Through quantitative analysis, it is demonstrated that legislative oversight of the executive significantly correlates with the divergence between excess mortality and officially reported COVID-19 mortality. Moreover, such oversight is shown to bolster the influence of bureaucratic capacity on the precision of mortality data. Consequently, these findings suggest that the notion of "autocratic advantage" in COVID-19 management is not solely a byproduct of regime-led data falsification but also a reflection of deficiencies in legislative and bureaucratic capacities.

References
1.
Karabulut G, Zimmermann K, Bilgin M, Doker A . Democracy and COVID-19 outcomes. Econ Lett. 2021; 203:109840. PMC: 7997903. DOI: 10.1016/j.econlet.2021.109840. View

2.
Balashov V, Yan Y, Zhu X . Using the Newcomb-Benford law to study the association between a country's COVID-19 reporting accuracy and its development. Sci Rep. 2021; 11(1):22914. PMC: 8617306. DOI: 10.1038/s41598-021-02367-z. View

3.
Cassan G, Van Steenvoort M . Political regime and COVID 19 death rate: Efficient, biasing or simply different autocracies?An econometric analysis. SSM Popul Health. 2021; 16:100912. PMC: 8437830. DOI: 10.1016/j.ssmph.2021.100912. View

4.
Arif S, MacNeil M . Predictive models aren't for causal inference. Ecol Lett. 2022; 25(8):1741-1745. DOI: 10.1111/ele.14033. View

5.
Neumayer E, Plumper T . Does 'Data fudging' explain the autocratic advantage? Evidence from the gap between Official Covid-19 mortality and excess mortality. SSM Popul Health. 2022; 19:101247. PMC: 9523905. DOI: 10.1016/j.ssmph.2022.101247. View