ABSTRACT
Background and Objectives: COVID-19 pandemic caused a lot of severe problems in the world. This study investigated the epidemiology of the disease in Tehran in the first quarter of the epidemic's beginning. Method(s): The available information recorded for patients from 20 February 2020 to 20 May 2020 in Tehran was used. To prepare disease-related distribution maps, the addresses of patients' residences in Google Earth were called to ARC-GIS version 10-4. The methods used in GIS include IDW, Hotspot and also software development. Result(s): Overall, 3699 individuals whose PCR results were positive in Tehran were included in the study. Out of the total number of them, 550 people died and the fatality rate of the disease in hospitalized patients was 14.9%. One thousand five hundred thirty patients (41.4%) have recovered, and the remaining 1619 patients were under treatment until data collection. Of the total, 1479 confirmed cases were women (40%). The average age was 57.4 years (SD=16.5). The density of cases in areas 4, 8 and 13, and the existence of some cluster diseases in neighborhoods such as Tehran Pars, Ayat and Pirouzi streets are noteworthy points. Conclusion(s): The trend of the COVID-19 epidemic is dire and requires long-term measures. Nevertheless, to control this disease, the health system, the policy of isolating patients and suspicious people, wear masks especially in densely populated areas, are the most important controlling factors.Copyright © 2022 The Authors. Published by Tehran University of Medical Sciences.
ABSTRACT
COVID-19 has been distinguished as a zoonotic coronavirus, like SARS coronavirus and MERS coronavirus. Tehran metropolis, as the capital of Iran, has a high density of residents that experienced a high incidence and mortality rates which daily increase the number of death and cases. In this study, the IDW (Inverse Distance Weight), Hotspots, and GWR (Geography Weighted Regression) Model are used as methods for analyzing big data COVID-19 in Tehran. The results showed that the majority of patients and deaths were men, but the death rate was higher in women than in men; also was observed a direct relationship between the area of the houses, and the infected rate, to COVID-19. Also, the results showed a disproportionate distribution of patients in Tehran, although in the eastern regions the number of infected people is higher than in other districts; the eastern areas have a high population density as well as residential land use, and there is a high relationship between population density in residential districts and administrative-commercial and the number of COVID-19 cases in all regions. The outputs of local R2 were interesting among patients and underlying disorders; the local R2 between hypertension and neurological diseases was 0.91 and 0.79, respectively, which was higher than other disorders. The highest rates of local R2 for diabetes and heart disease were 0.67 and 0.55, respectively. From this study, it can be concluded the restrictions must be considered especially, in areas densely populated for all people.
ABSTRACT
Objective(s): Organizing the rapid response team is one of the strategic mechanisms that have been used to control the COVID-19 epidemic. This study aimed to compare the COVID-19 epidemic control before and after the implementation of rapid response program in southeast Iran. Methods: This cross-sectional study was carried out in Sistan and Baluchestan province in summer of 2021. The rapid response team has been settled in the region for 3 weeks since 3 July, and rapid response program including mass vaccination with a community-based approach has been implemented in catchment populations of three universities of medical sciences including Zaheadn, Iranshahr and Zabon. Data were collected from June 5, until September 23, 2021 and analyzed using descriptive statistics in Excel software. Results: During the study period, a total of 2,514,911 people were admitted and 2,125,389 people (84.5%) were discharged. 58,441 (2.3%) of the cases were hospitalized. The total number of tests taken during the study period was 310,741 (111,978 tests per million population). This rate decreased about 15% after the implementation (36% versus 21.7%). The total number of positive death cases was estimated at 0.9 per 1000 population. After the implementation, the mean number of hospitalized cases (59 patients per day), the mean difference of positive laboratory cases (400 cases per day), and the mean difference in the number of deaths (confirmed cases) decreased to eight cases per day. Conclusion: The findings showed that the implementation of rapid response program with community-based approach in was successful in controlling the COVID-19 epidemic. © 2023, Iranian Institute for Health Sciences Research. All rights reserved.