tetano
Editor, Senior Moderator
BMC Public Health
. 2021 Dec 8;21(1):2227.
doi: 10.1186/s12889-021-12267-6.
Mapping and Spatial Pattern Analysis of COVID-19 in Central Iran Using the Local Indicators of Spatial Association (LISA)
Nahid Jesri[SUP] 1 [/SUP], Abedin Saghafipour[SUP] 2 [/SUP], Alireza Koohpaei[SUP] 3 [/SUP], Babak Farzinnia[SUP] 4 [/SUP], Moharram Karami Jooshin[SUP] 5 [/SUP], Samaneh Abolkheirian[SUP] 6 [/SUP], Mahsa Sarvi[SUP] 7 [/SUP]
Affiliations
Abstract
Background: Using geographical analysis to identify geographical factors related to the prevalence of COVID-19 infection can affect public health policies aiming at controlling the virus. This study aimed to determine the spatial analysis of COVID-19 in Qom Province, using the local indicators of spatial association (LISA).
Methods: In a primary descriptive-analytical study, all individuals infected with COVID-19 in Qom Province from February 19[SUP]th[/SUP], 2020 to September 30[SUP]th[/SUP], 2020 were identified and included in the study. The spatial distribution in urban areas was determined using the Moran coefficient in geographic information systems (GIS); in addition, the spatial autocorrelation of the coronavirus in different urban districts of the province was calculated using the LISA method.
Results: The prevalence of COVID-19 in Qom Province was estimated to be 356.75 per 100,000 populations. The pattern of spatial distribution of the prevalence of COVID-19 in Qom was clustered. District 3 (Imam Khomeini St.) and District 6 (Imamzadeh Ebrahim St.) were set in the High-High category of LISA: a high-value area surrounded by high-value areas as the two foci of COVID-19 in Qom Province. District 1 (Bajak) of urban districts was set in the Low-High category: a low-value area surrounded by high values. This district is located in a low-value area surrounded by high values.
Conclusions: According to the results, district 3 (Imam Khomeini St.) and district 6 (Imamzadeh Ebrahim St.) areas are key areas for preventing and controlling interventional measures. In addition, considering the location of District 1 (Bajak) as an urban district in the Low-High category surrounded by high values, it seems that distance and spatial proximity play a major role in the spread of the disease.
Keywords: COVID-19; Coronavirus; Iran; Spatial analysis.
. 2021 Dec 8;21(1):2227.
doi: 10.1186/s12889-021-12267-6.
Mapping and Spatial Pattern Analysis of COVID-19 in Central Iran Using the Local Indicators of Spatial Association (LISA)
Nahid Jesri[SUP] 1 [/SUP], Abedin Saghafipour[SUP] 2 [/SUP], Alireza Koohpaei[SUP] 3 [/SUP], Babak Farzinnia[SUP] 4 [/SUP], Moharram Karami Jooshin[SUP] 5 [/SUP], Samaneh Abolkheirian[SUP] 6 [/SUP], Mahsa Sarvi[SUP] 7 [/SUP]
Affiliations
- PMID: 34876066
- DOI: 10.1186/s12889-021-12267-6
Abstract
Background: Using geographical analysis to identify geographical factors related to the prevalence of COVID-19 infection can affect public health policies aiming at controlling the virus. This study aimed to determine the spatial analysis of COVID-19 in Qom Province, using the local indicators of spatial association (LISA).
Methods: In a primary descriptive-analytical study, all individuals infected with COVID-19 in Qom Province from February 19[SUP]th[/SUP], 2020 to September 30[SUP]th[/SUP], 2020 were identified and included in the study. The spatial distribution in urban areas was determined using the Moran coefficient in geographic information systems (GIS); in addition, the spatial autocorrelation of the coronavirus in different urban districts of the province was calculated using the LISA method.
Results: The prevalence of COVID-19 in Qom Province was estimated to be 356.75 per 100,000 populations. The pattern of spatial distribution of the prevalence of COVID-19 in Qom was clustered. District 3 (Imam Khomeini St.) and District 6 (Imamzadeh Ebrahim St.) were set in the High-High category of LISA: a high-value area surrounded by high-value areas as the two foci of COVID-19 in Qom Province. District 1 (Bajak) of urban districts was set in the Low-High category: a low-value area surrounded by high values. This district is located in a low-value area surrounded by high values.
Conclusions: According to the results, district 3 (Imam Khomeini St.) and district 6 (Imamzadeh Ebrahim St.) areas are key areas for preventing and controlling interventional measures. In addition, considering the location of District 1 (Bajak) as an urban district in the Low-High category surrounded by high values, it seems that distance and spatial proximity play a major role in the spread of the disease.
Keywords: COVID-19; Coronavirus; Iran; Spatial analysis.