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Changes in the spatial distribution of COVID-19 incidence in Italy using GIS-based maps

Cecilia Acuti Martellucci, Ranjit Sah, Ali A. Rabaan, Kuldeep Dhama, Cristina Casalone, Kovy Arteaga‐Livias, Toyoaki Sawano, Akihiko Ozaki, Divya Bhandari, Asaka Higuchi, Yasuhiro Kotera, Zareena Fathah, Namrata Roy, Mohammed Ateeq Ur Rahman, Tetsuya Tanimoto, Alfonso J. Rodríguez‐Morales

2020Annals of Clinical Microbiology and Antimicrobials48 citationsDOIOpen Access PDF

Abstract

Massive spreading of the pandemic Coronavirus Disease 2019 (COVID-19) in different continents [1, 2], have been observed. Analyses mostly focused on the number of cases per country and administrative levels, multiple times without considering the relevance of the incidence rates. These help to see the concentration of disease among the population in terms of cases per 100,000 inhabitants. Even more using geographical information systems (GIS)-based maps stakeholder may rapidly analyze changes in the epidemiological situation [3, 4]. Although the epidemic of COVID-19 caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in Italy on January 31, 2020, no reports on the use of GIS-based maps have been published to analyze the distinct differences in incidence rates across its regions and provinces during the last months. For these reasons, we have developed epidemiological maps of incidence rates using official populations, by regions and provinces, for COVID-19 in Italy using GIS.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Spatial distributionIncidence (geometry)GeographyDistribution (mathematics)2019-20 coronavirus outbreakMedical microbiologyCartographyParasitologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Spatial analysisPandemicGeographic information systemVeterinary medicineVirologyBiologyMedicineRemote sensingInternal medicineOutbreakZoologyMathematicsInfectious disease (medical specialty)GeometryDiseaseMathematical analysisCOVID-19 epidemiological studiesCOVID-19 diagnosis using AIData-Driven Disease Surveillance