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Sub-National COVID-19 Incidence and Determinants Dataset

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Sub-National COVID-19 Incidence and Determinants Dataset
 
Identifier https://doi.org/10.7910/DVN/SEGOVA
 
Creator Ferrara, Alessandro
Recchi, Ettore
Rodriguez Sanchez, Alejandra
Deutschmann, Emanuel
Gabrielli, Lorenzo
Iacus, Stefano
Spyratos, Spyridon
Bastiani, Luca
Vespe, Michele
 
Publisher Harvard Dataverse
 
Description The Sub-National COVID-19 Incidence and Determinants Dataset contains rich sub-national data on COVID-19 cases and deaths combined with data on factors associated with the spread and severity of COVID-19 outbreaks in 2020. The data covers 503 sub-national areas (NUTS-2 level and equivalents) of 46 countries in five continents (Europe, Asia, North America, South America and Oceania). Indicators were mostly gathered weekly, with the exception of some variables that are monthly and yearly. The dataset was compiled to study the determinants of COVID-19 outbreaks with a focus on the effects of international airline travel. However, the data are useful to investigate also other questions on the sub-national diffusion of COVID-19.

The information used to build this dataset was drawn from a variety of sources in order to cover four major areas of interest: health outcomes of the pandemic (COVID-19 cases and deaths), international air travel (number of incoming air passengers, centrality of local airports in the global airline network and air travel limitation policies), population mixing and government policy responses, and pre-pandemic area characteristics (socioeconomic, demographic, public health and co-morbidity). A complete list of sources can be found in the “Data sources” Pdf document attached.
 
Subject Medicine, Health and Life Sciences
Social Sciences
COVID-19
COVID-19 diffusion
COVID-19 incidence
Airline travel
Mobility
 
Contributor Ferrara, Alessandro