The present study aimed to identify the factors associated with the distribution of the first doses of the COVID-19 vaccine. In this study, we used 9 variables: human development index (HDI), gross domestic product (GDP per capita), Gini index, population density, extreme poverty, life expectancy, COVID cases, COVID deaths, and reproduction rate. The time period was until February 1, 2021.
View Article and Find Full Text PDFBackground: The determinants of access to immunizers are still poorly understood, leading to questions about which criteria were considered in this distribution. Given the above, the present study aimed to analyze the determinants of access to the SARS-CoV-2 vaccine by different countries.
Methods: The study covered 189 countries using data from different public databases, and collected until February 19, 2021.
Background: To assess the impact of the social isolation index on the number of infections and deaths by COVID-19 in the state of São Paulo (Brazil).
Methods: Daily isolation data, obtained through geolocation information by mobile phone, were evaluated together with the number of daily infections and deaths by COVID-19 in the state of São Paulo. The study was conducted from February 26 to May 19, 2020.
In this study, we aimed at analyzing the associations between transmission of and deaths caused by SARS-CoV-2 and meteorological variables, such as average temperature, minimum temperature, maximum temperature, and precipitation. Two outcome measures were considered, with the first aiming to study SARS-CoV-2 infections and the second aiming to study COVID-19 mortality. Daily data as well as data on SARS-CoV-2 infections and COVID-19 mortality obtained between December 1, 2019 and March 28, 2020 were collected from weather stations around the world.
View Article and Find Full Text PDFThe paper examines the relationship between the supervision carried out in the municipalities by the main Brazilan supervisory institution (Controladoria Geral da União-CGU, in portuguese) and the incidence of dengue cases in them. Since the audited municipalities were randomized, this allows the identification of a control group that adequately represents the counterfactual of the treated group. The sample was composed of all municipalities that could be selected for that CGU inspection cycle, that is, 1520 municipalities, of which 70 were drawn and therefore belong to the study treatment group.
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