Autor: |
Shahab MohammadEbrahimi, Alireza Mohammadi, Robert Bergquist, Mahsan Akbarian, Mahnaz Arian, Elahe Pishgar, Behzad Kiani |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
BMC Research Notes, Vol 14, Iss 1, Pp 1-4 (2021) |
Druh dokumentu: |
article |
ISSN: |
1756-0500 |
DOI: |
10.1186/s13104-021-05710-9 |
Popis: |
Abstract Objective In March 2020, Iran tackled the first national wave of COVID-19 that was particularly felt in Mashhad, Iran’s second-most populous city. Accordingly, we performed a spatio-temporal study in this city to investigate the epidemiological aspects of the disease in an urban area and now wish to release a comprehensive dataset resulting from this study. Data description These data include two data files and a help file. Data file 1: “COVID-19_Patients_Data” contains the patient sex and age + time from symptoms onset to hospital admission; hospitalization time; co-morbidities; manifest symptoms; exposure up to 14 days before admission; disease severity; diagnosis (with or without RT-PCR assay); and outcome (recovery vs. death). The data covers 4000 COVID-19 patients diagnosed between 14 Feb 2020 and 11 May 2020 in Khorasan-Razavi Province. Data file 2: “COVID-19_Spatiotemporal_Data” is a digital map of census tract divisions of Mashhad, the capital of the province, and their population by gender along with the number of COVID-19 cases and deaths including the calculated rates per 100,000 persons. This dataset can be a valuable resource for epidemiologists and health policymakers to identify potential risk factors, control and prevent pandemics, and optimally allocate health resources. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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