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Disaggregated data on age and sex for the first 250 days of the COVID-19 pandemic in Bucharest, Romania.
Hâncean, Marian-Gabriel; Ghița, Maria Cristina; Perc, Matjaz; Lerner, Jürgen; Oana, Iulian; Mihaila, Bianca-Elena; Stoica, Adelina Alexandra; Bunaciu, David-Andrei.
  • Hâncean MG; Department of Sociology, University of Bucharest, Panduri 90-92, Bucharest, 050663, Romania. gabriel.hancean@sas.unibuc.ro.
  • Ghița MC; Department of Sociology, University of Bucharest, Panduri 90-92, Bucharest, 050663, Romania.
  • Perc M; Faculty of Natural Sciences and Mathematics, University of Maribor, Koroska cesta 160, 2000, Maribor, Slovenia.
  • Lerner J; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404332, Taiwan.
  • Oana I; Alma Mater Europaea, Slovenska ulica 17, 2000, Maribor, Slovenia.
  • Mihaila BE; Complexity Science Hub Vienna, Josefstädterstraße 39, 1080, Vienna, Austria.
  • Stoica AA; Department of Computer and Information Science, University of Konstanz, 78457, Konstanz, Germany.
  • Bunaciu DA; HumTec Institute, RWTH Aachen University, 52062, Aachen, Germany.
Sci Data ; 9(1): 253, 2022 05 31.
Article in English | MEDLINE | ID: covidwho-1873538
ABSTRACT
Experts worldwide have constantly been calling for high-quality open-access epidemiological data, given the fast-evolving nature of the COVID-19 pandemic. Disaggregated high-level granularity records are still scant despite being essential to corroborate the effectiveness of virus containment measures and even vaccination strategies. We provide a complete dataset containing disaggregated epidemiological information about all the COVID-19 patients officially reported during the first 250 days of the COVID-19 pandemic in Bucharest (Romania). We give the sex, age, and the COVID-19 infection confirmation date for 46,440 individual cases, between March 7th and November 11th, 2020. Additionally, we provide context-wise information such as the stringency levels of the measures taken by the Romanian authorities. We procured the data from the local public health authorities and systemized it to respond to the urgent international need of comparing observational data collected from various populations. Our dataset may help understand COVID-19 transmission in highly dense urban communities, perform virus spreading simulations, ascertain the effects of non-pharmaceutical interventions, and craft better vaccination strategies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01374-7

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Country/Region as subject: Europa Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01374-7