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The Relationship between Ideology and Covid-19 Deaths

What We Know and What We Still Need to Know

Bibliographic Data

ID6235613
AuthorsLorena G Barberia (0000-0001-6319-543X, Universidade de São Paulo, corresponding author), Natália De Paula Moreira (0000-0002-8544-1133, Universidade de São Paulo), Rebeca De Jesus Carvalho (0000-0003-4654-804X, Fundação Getulio Vargas), Maria Letícia Claro Oliveira (0000-0003-1305-3278, Universidade de São Paulo), Isabel Seelaender Costa Rosa (0000-0001-8480-5196, Universidade de São Paulo), Marcela Zamudio (0000-0001-9474-8383, Universidade de São Paulo)
Year2022
Volume16
Issue3
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBrazilian Political Science Review (JOURNAL)
Journal identifiersISSN: 1981-3821 • E-ISSN: 1981-3821
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1981-3821202200030001
OpenAlexW4313153101
SCIELO_PIDS1981-38212022000300201
LanguageEN
Citations received3
References cited34

Several recent studies have investigated if support for Jair Bolsonaro in the presidential election of 2018 is positively associated with COVID-19 infections and deaths in Brazil. In these studies, COVID-19 outcomes in 2020 and 2021 are the dependent variables, and votes for Jair Bolsonaro in the 2018 presidential election (as a proxy for ideology) are the key explanatory variable. This article discusses why ecological research designs are difficult to test empirically. We discuss why correlations between vote shares and COVID-19 outcomes using aggregate data can produce biased inferences, and we specifically focus on measurement error, aggregation bias, and spatial and temporal dynamics

2019-20 coronavirus outbreak · Aggregate data · Coronavirus disease 2019 (COVID-19 · Demographic economics · Econometrics · Economics · Ideology · Instrumental variable · Outbreak · Political science · Politics · Presidential address · Presidential election · Presidential system · Proxy (statistics · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Statistics · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Law · Medicine · Misinformation and Its Impacts · Public Administration · Virology

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Unique citing works3
Citations per year0,75
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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