Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Spatial Distribution of COVID-19 in Shahroud, Iran Using GIS

Marjan Ghanbarian
,
Sepideh Mahdavi
,
Mostafa Enayatrad
,
Fariba Zare
,
Mostafa MajidNia
,
Mohammad Hassan Emamian
,
Ali Hosseinzadeh
,
Reza Chaman
,
Ahmad Khosravi
,
Ehsan Binesh
,
Hossein Sheibani
,
Hamidreza Khajeha
,
Marzieh Rohani-Rasaf
*
Version 1 : Received: 30 June 2020 / Approved: 3 July 2020 / Online: 3 July 2020 (08:27:23 CEST)

How to cite: Ghanbarian, M.; Mahdavi, S.; Enayatrad, M.; Zare, F.; MajidNia, M.; Emamian, M.H.; Hosseinzadeh, A.; Chaman, R.; Khosravi, A.; Binesh, E.; Sheibani, H.; Khajeha, H.; Rohani-Rasaf, M. Spatial Distribution of COVID-19 in Shahroud, Iran Using GIS. Preprints 2020, 2020070018. https://doi.org/10.20944/preprints202007.0018.v1 Ghanbarian, M.; Mahdavi, S.; Enayatrad, M.; Zare, F.; MajidNia, M.; Emamian, M.H.; Hosseinzadeh, A.; Chaman, R.; Khosravi, A.; Binesh, E.; Sheibani, H.; Khajeha, H.; Rohani-Rasaf, M. Spatial Distribution of COVID-19 in Shahroud, Iran Using GIS. Preprints 2020, 2020070018. https://doi.org/10.20944/preprints202007.0018.v1

Abstract

Abstract Background: The highest incidence rate of covid-19 in Iran was reported from Shahroud County. This study was conducted by geographic information systems (GIS) to determine the geographical distribution of Covid-19 in 60 days. Study design: A cross-sectional study Methods: This study was conducted in counties covered by Shahroud University of Medical Sciences, namely Shahroud and Mayami, from February 20, 2020 to April 18, 2020. The GIS can better show the spread of epidemics. This software indicates geographical distribution of disease spread and is very helpful in controlling the epidemics. Therefore, maps of spatial distribution and risk of infection to COVID-19 were prepared in different regions of Shahroud county using Arc-GIS software to better implement health policies. Results: During this sixty-day period, 529 confirmed cases were detected, of which 51% were men and the average age was 55 years. The maps showed high-risk to risk-free regions. Shahroud and Bastam cities were known as the coronavirus hot spots. The eastern region of Shahroud has the highest number of cases but some high risk areas are spread throughout the Shahroud city due to high infectivity of virus. Risk-based time maps indicated a reduction in the risk of infection at the end of the research period due to some mitigation and suppression strategies. Conclusions: Shahroud and Bastam are the most dangerous cities that, the number of patients and dissemination has decreased over time because of tracking definite patients and people in contact with them and implementation of preventive care.

Keywords

COVID-19; geographic information systems (GIS); Shahroud; Iran

Subject

Medicine and Pharmacology, Pulmonary and Respiratory Medicine

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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