COVID-19 Susceptibility Mapping Using Multicriteria Evaluation.
Disaster Med Public Health Prep
; 14(4): 521-537, 2020 08.
Article
in English
| MEDLINE | ID: covidwho-615241
ABSTRACT
Objective:
The purpose of this research was to investigate coronavirus disease (COVID-19) susceptibility in districts of Bangladesh using multicriteria evaluation techniques.Methods:
Secondary data were collected from different government organizations, 120 primary surveys were conducted for calculating weights, and results were validated through 12 key people's interviews. Pairwise comparison matrixes were calculated for 9 factors and subfactors. The analytic hierarchy process used for calculating the susceptibility index and map was prepared based on the results.Results:
According to the results, multiple causal factors might be responsible for COVID-19 spreading in Bangladesh. Dhaka might be vulnerable to COVID-19 due to a higher population, population density, and international collaboration. According to the pairwise comparison matrix, the consistency ratio for subfactors and factors was in the permissible limit (ie, less than 0.10). The highest factor weight of 0.2907 was found for the factors type of port. The maximum value for the susceptibility index was 0.435219362 for Chittagong, and the minimum value was 0.076174 for Naogaon.Conclusions:
The findings of this research might help the communities and government agencies with effective decision-making.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Disease Susceptibility
/
Geographic Mapping
/
COVID-19
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Disaster Med Public Health Prep
Journal subject:
Public Health
Year:
2020
Document Type:
Article
Affiliation country:
Dmp.2020.175
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