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.
【저자키워드】 COVID-19, SARS-CoV-2, Iran, spatial epidemiology, Geographical information systems, 【초록키워드】 Hospitalization, hospital, Diagnosis, Sex, Gender, outcome, RT-PCR, Health, Factors, death, Pandemics, dataset, epidemiological, disease, COVID-19 patient, COVID-19 case, potential risk, help, symptoms onset, National, valuable resource, epidemiologist, division, Mashhad, resources, objective, Prevent, resulting, identify, performed, include, the patient, diagnosed, the disease, calculated, Iran’, 【제목키워드】 pandemic, dataset, First wave, subject, Mashhad,