Title of article :
The Geographical Distribution of Probable COVID-19 Patients Transferred by Tehran Emergency Medical Services; a Cross Sectional Study
Author/Authors :
Saberian, Peyman Prehospital and Hospital Emergency Research Center - Tehran University of Medical Sciences, Tehran, Iran , Rafiemanesh, Hosein Department of Epidemiology - School of Public Health and Safety - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Sadeghi, Mostafa Department of Anesthesiology and Critical Care - Shariati Hospital - Tehran University of Medical Sciences, Tehran, Iran , Hasani-Sharamin, Parisa Tehran Emergency Medical Service Center, Tehran, Iran , Dadashi, Fatemeh Tehran Emergency Medical Service Center, Tehran, Iran , Baratloo, Alireza Prehospital and Hospital Emergency Research Center - Tehran University of Medical Sciences, Tehran, Iran
Abstract :
Introduction: Mapping of COVID-19 infection in the city can help us know more about how the disease is distributed
and spread. This study was conducted to investigate the geographical distribution of probable COVID-
19 patients who were transferred to destination hospitals by emergency medical services (EMS) in the first wave
of the epidemic, in Tehran, Iran. Methods: This cross-sectional study was performed based on recorded missions
during the first 3-month period of the pandemic in Tehran, Iran. All probable cases of COVID-19 who were
transferred to the hospitals following contact with Tehran EMS during the study period were enrolled. Arc-GIS
software was utilized to draw the distribution map of the contact places of the cases. Results: In this study, the
data of 4018 patients were analyzed (60.9% male). The mean age of the patients was 54.1 ± 20.7 years; and the
mean age of the patients had increased with time during the studied 3 months (p = 0.003). The average incidence
rate of this disease in Tehran during the study period was 4.6 per 10,000 population. Generally, the lowest
and highest raw frequencies of Tehran COVID-19 contamination were seen in municipal districts 21 and 4, respectively.
The raw frequency of cases during the 3-month study period also showed that the highest number
of cases in Tehran occurred in municipal districts 5 and 4, respectively. Conclusion: In the present study, using
geographic information systems (GIS), geographical distribution map of COVID-19 in Tehran, Iran, during the
first 3 months of the pandemic was drawn.
Keywords :
Emergency Medical Services , Geographic Information Systems , COVID-19 , Tehran , Iran
Journal title :
Archives of Academic Emergency Medicine (AAEM)