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A global dataset of pandemic- and epidemic-prone disease outbreaks.
Torres Munguía, Juan Armando; Badarau, Florina Cristina; Díaz Pavez, Luis Rodrigo; Martínez-Zarzoso, Inmaculada; Wacker, Konstantin M.
  • Torres Munguía JA; Faculty of Economic Sciences, Georg-August-Universität Göttingen, Göttingen, Germany. jtorres@gwdg.de.
  • Badarau FC; University of Bordeaux, CNRS, BSE, UMR 6060, F-33600, Pessac, France.
  • Díaz Pavez LR; Faculty of Economic Sciences, Georg-August-Universität Göttingen, Göttingen, Germany.
  • Martínez-Zarzoso I; Faculty of Economic Sciences, Georg-August-Universität Göttingen, Göttingen, Germany.
  • Wacker KM; Department of Economics, University Jaume I, Castelló de la Plana, Spain.
Sci Data ; 9(1): 683, 2022 11 10.
Article in English | MEDLINE | ID: covidwho-2117931
ABSTRACT
This paper presents a new dataset of infectious disease outbreaks collected from the Disease Outbreak News and the Coronavirus Dashboard produced by the World Health Organization. The dataset contains information on 70 infectious diseases and 2227 public health events that occurred over the period from January 1996 to March 2022 in 233 countries and territories around the world. We illustrate the potential use of this dataset to the research community by analysing the spatial distribution of disease outbreaks. We find evidence of spatial clusters of high incidences ("hot spots") in Africa, America, and Asia. This spatial analysis enables policymakers to identify the regions with the greatest likelihood of suffering from disease outbreaks and, taking into account their degree of preparedness and vulnerability, to develop policies that may help contain the spreading of future outbreaks. Further applications could focus on combining our data with other information sources to study, for instance, the link between environmental, globalization, and/or socioeconomic factors with disease outbreaks.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Disease Outbreaks / Coronavirus Infections Type of study: Observational study Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01797-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Communicable Diseases / Disease Outbreaks / Coronavirus Infections Type of study: Observational study Limits: Humans Language: English Journal: Sci Data Year: 2022 Document Type: Article Affiliation country: S41597-022-01797-2