Spatial mapping and socio-demographic determinants of COVID-19 mortality in India

被引：5

作者：

Khobragade, Ashish W. ^{[1
]}

Kadam, Dilip D. ^{[2
]}

机构：

[1] All India Inst Med Sci, Dept Community & Family Med, Raipur, Chhattisgarh, India

[2] Seth GS Med Coll, Dept Community Med, Mumbai, Maharashtra, India

来源：

JOURNAL OF FAMILY MEDICINE AND PRIMARY CARE | 2021年 / 10卷 / 11期

关键词：

COVID-19; GIS; mortality; regression; socio-demographic; spatial;

D O I：

10.4103/jfmpc.jfmpc_903_21

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Background: COVID-19 is caused by SARS-CoV-2. The first case of COVID-19 was detected in Wuhan city of China in December 2019. Geographic information system (GIS) mapping is important for the surveillance of infectious diseases. Objectives: The objectives of the study are to map spatially total cases and case fatality rate of COVID-19 and to build a linear regression model for mortality based on socio-demographic variables. Methology: We plotted the epidemiological data of COVID-19 of Indian states as on 11th May 2021 using the Q-GIS software. We used socio-demographic variables as the predictors of COVID-19 mortality and developed a linear regression model. Results: Adjusted R-squared in linear regression model based on socio-demographic variables for COVID-19 deaths is 0.82. Conclusions: There are spatial variations in COVID-19 cases and deaths.

引用

页码：4200 / 4204

页数：5

共 25 条

[1] Demographic and socioeconomic determinants of COVID-19 across Oman - A geospatial modelling approach [J].

Al Kindi, Khalifa M. ;

Al-Mawali, Adhra ;

Akharusi, Amira ;

Alshukaili, Duhai ;

Alnasiri, Noura ;

Al-Awadhi, Talal ;

Charabi, Yassine ;

El Kenawy, Ahmed M. .

GEOSPATIAL HEALTH, 2021, 16 (01) :145-160

[2] Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform [J].

Bhaskaran, Krishnan ;

Bacon, Sebastian ;

Evans, Stephen J. W. ;

Bates, Chris J. ;

Rentsch, Christopher T. ;

MacKenna, Brian ;

Tomlinson, Laurie ;

Walker, Alex J. ;

Schultze, Anna ;

Morton, Caroline E. ;

Grint, Daniel ;

Mehrkar, Amir ;

Eggo, Rosalind M. ;

Inglesby, Peter ;

Douglas, Ian J. ;

McDonald, Helen, I ;

Cockburn, Jonathan ;

Williamson, Elizabeth J. ;

Evans, David ;

Curtis, Helen J. ;

Hulme, William J. ;

Parry, John ;

Hester, Frank ;

Harper, Sam ;

Spiegelhalter, David ;

Smeeth, Liam ;

Goldacre, Ben .

LANCET REGIONAL HEALTH-EUROPE, 2021, 6

[3]

CBHI MOHFW Govt. of India, NAT HLTH PROF 2020

[4]

Congdon P, THE J, V4, P131

[5] A population-based cohort study of socio-demographic risk factors for COVID-19 deaths in Sweden [J].

Drefahl, Sven ;

Wallace, Matthew ;

Mussino, Eleonora ;

Aradhya, Siddartha ;

Kolk, Martin ;

Branden, Maria ;

Malmberg, Bo ;

Andersson, Gunnar .

NATURE COMMUNICATIONS, 2020, 11 (01)

[6]

Govt. of India, UN ID AUTH IND STAT

[7] Spatial epidemic dynamics of the COVID-19 outbreak in China [J].

Kang, Dayun ;

Choi, Hyunho ;

Kim, Jong-Hun ;

Choi, Jungsoon .

INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 94 :96-102

[8] Association of Social and Demographic Factors With COVID-19 Incidence and Death Rates in the US [J].

Karmakar, Monita ;

Lantz, Paula M. ;

Tipirneni, Renuka .

JAMA NETWORK OPEN, 2021, 4 (01)

[9]

mohfw, COVID 19 STAT STAT

[10] GIS-based spatial modeling of COVID-19 incidence rate in the continental United States [J].

Mollalo, Abolfazl ;

Vahedi, Behzad ;

Rivera, Kiara M. .

SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 728

← 1 2 3 →