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. 2024 Mar 18;22:125. doi: 10.1186/s12916-024-03333-y

Table 3.

Indicators (N = 342) used in published articles which included an infectious disease mathematical model with social vulnerability incorporated

COVID-19 81 100.0%
Social determinants of health 31 38.3%
 Medical capacity 6 19.4%
 Population density 4 12.9%
 Access to healthcare 3 9.7%
 Health risk 3 9.7%
 Access to water 2 6.5%
 Employment 2 6.5%
 Income 2 6.5%
 Poverty 2 6.5%
 Sanitation 2 6.5%
 Socioeconomic status 2 6.5%
 Access to food 1 3.2%
 Access to housing 1 3.2%
 Household size/ composition 1 3.2%
Contact and movement behaviour 16 19.8%
 Contact 12 75.0%
 Movement 4 25.0%
Demographics 15 18.5%
 Age 12 80.0%
 Sex 2 13.3%
 Race 1 6.7%
Geographic location 9 11.1%
 County 2 22.2%
 Region 2 22.2%
 Census block 1 11.1%
 Cluster 1 11.1%
 District 1 11.1%
 Neighbourhood 1 11.1%
 Province 1 11.1%
Knowledge, attitudes, and practices 7 8.6%
 Adherence to non-pharmaceutical interventions 3 42.9%
 Adherence to social distancing 3 42.9%
 Knowledge 1 14.3%
Vulnerable populations 2 2.5%
 Nationality 1 50.0%
 Poverty 1 50.0%
Culture 1 1.2%
 Civic capital 1 100.0%
HIV/AIDS 78 100.0%
Knowledge, attitudes, and practices 24 30.8%
 Condom use 5 20.8%
 Number of sexual partners 4 16.7%
 Adherence to treatment 2 8.3%
 Circumcision 2 8.3%
 HIV testing 2 8.3%
 Injection sharing and hygiene 2 8.3%
 Sexual behaviour 2 8.3%
 Information and education campaign 1 4.2%
 Knowledge 1 4.2%
 Relationship duration 1 4.2%
 Treatment use 1 4.2%
 Type of sexual act 1 4.2%
Social determinants of health 16 20.5%
 Poverty 3 18.8%
 Relationship type 3 18.8%
 Choice class 2 12.5%
 Access to treatment 1 6.3%
 Drug and alcohol abuse 1 6.3%
 Education 1 6.3%
 Health risk 1 6.3%
 HIV status 1 6.3%
 Malnutrition 1 6.3%
 Marital status 1 6.3%
 Medical capacity 1 6.3%
Demographics 15 19.2%
 Sex 10 66.7%
 Age 4 26.7%
 Race 1 6.7%
Vulnerable populations 11 14.1%
 Men who have sex with men 4 36.4%
 Female sex workers 3 27.3%
 People who inject drugs 2 18.2%
 Poverty 2 18.2%
Contact and movement behaviour 9 11.5%
 Contact 9 100.0%
Geographic location 3 3.8%
 County 1 33.3%
 Location 1 33.3%
 Urban vs rural 1 33.3%
Influenza 76 100.0%
Social determinants of health 26 34.2%
 Household size/ composition 7 26.9%
 Health risk 3 11.5%
 Employment 2 7.7%
 Income 2 7.7%
 Population density 2 7.7%
 Age gaps between household members 1 3.8%
 Age of the head of the household 1 3.8%
 Disease risk 1 3.8%
 Education enrolment 1 3.8%
 Educational system 1 3.8%
 Marital status 1 3.8%
 Poverty 1 3.8%
 Relationship to the head of the household 1 3.8%
 SEIFA indexa 1 3.8%
 Social deprivation index 1 3.8%
Demographics 21 27.6%
 Age 15 71.4%
 Sex 5 23.8%
 Race 1 4.8%
Contact and movement behaviour 17 22.4%
 Contact 13 76.5%
 Movement 4 23.5%
 Geographic location 8 10.5%
 Neighbourhood 2 25.0%
 Poverty 2 25.0%
 Region 2 25.0%
 Census tract 1 12.5%
 County 1 12.5%
Knowledge, attitudes, and practices 3 3.9%
 Adherence to non-pharmaceutical interventions 1 33.3%
 Adherence to social distancing 1 33.3%
 School attendance 1 33.3%
 Vulnerable populations 1 1.3%
 Pregnancy 1 100.0%
Disease X 39 100.0%
Social determinants of health 17 43.6%
 Employment 3 17.6%
 Household size/ composition 2 11.8%
 Medical capacity 2 11.8%
 Migration 2 11.8%
 Socioeconomic status 2 11.8%
 Access to healthcare 2 11.8%
 Household type 1 5.9%
 Income 1 5.9%
 Medical hygiene 1 5.9%
 Poverty 1 5.9%
Contact and movement behaviour 6 15.4%
 Contact 4 66.7%
 Movement 2 33.3%
Demographics 5 12.8%
 Age 2 40.0%
 Sex 2 40.0%
 Race 1 20.0%
Knowledge, attitudes, and practices 4 10.3%
 Adherence to non-pharmaceutical interventions 2 50.0%
 Fear 1 25.0%
 Health belief model 1 25.0%
Vulnerable populations 4 10.3%
 Communities in conflict 1 25.0%
 Net consumers 1 25.0%
 Net producers 1 25.0%
 Poverty 1 25.0%
Geographic location 3 7.7%
 Neighbourhood 1 33.3%
 Poverty 1 33.3%
 Spatial distribution 1 33.3%
Tuberculosis 12 100.0%
Social determinants of health 4 33.3%
 Population density 2 50.0%
 HIV status 1 25.0%
 Malnutrition 1 25.0%
Vulnerable populations 3 25.0%
 Unhoused 1 33.3%
 Miners 1 33.3%
 Poverty 1 33.3%
Demographics 2 16.7%
 Age 1 50.0%
 Sex 1 50.0%
Contact and movement behaviour 1 8.3%
 Contact 1 100.0%
Geographic location 1 8.3%
 Neighbourhood 1 100.0%
Knowledge, attitudes, and practices 1 8.3%
 Treatment use 1 100.0%
Measles 9 100.0%
Contact and movement behaviour 3 33.3%
 Contact 3 100.0%
Demographics 3 33.3%
 Age 2 66.7%
 Sex 1 33.3%
Knowledge, attitudes, and practices 2 22.2%
 Adherence to social distancing 1 50.0%
 Cooperation 1 50.0%
Social determinants of health 1 11.1%
 Poverty 1 100.0%
Respiratory syncytial virus 7 100.0%
Social determinants of health 3 42.9%
 Household size/ composition 3 100.0%
Demographics 2 28.6%
 Age 2 100.0%
Contact and movement behaviour 1 14.3%
 Contact 1 100.0%
Geographic location 1 14.3%
 Setting 1 100.0%
Schistosomiasis 7 100.0%
Social determinants of health 3 42.9%
 Employment 1 33.3%
 Household size/ composition 1 33.3%
 Sanitation 1 33.3%
Demographics 2 28.6%
 Age 1 50.0%
 Sex 1 50.0%
Geographic location 1 14.3%
 Patch 1 100.0%
Knowledge, attitudes, and practices 1 14.3%
 Water contact 1 100.0%
Hepatitis A 6 100.0%
Social determinants of health 2 33.3%
 Household size/ composition 1 50.0%
 Household type 1 50.0%
Contact and movement behaviour 1 16.7%
 Contact 1 100.0%
Demographics 1 16.7%
 Age 1 100.0%
Geographic location 1 16.7%
 Municipality 1 100.0%
Knowledge, attitudes, and practices 1 16.7%
 Food hygiene 1 100.0%
Malaria 6 100.0%
Social determinants of health 4 66.7%
 Economic conditions 1 25.0%
 Medical capacity 1 25.0%
 Migration 1 25.0%
 Sanitation 1 25.0%
Contact and movement behaviour 1 16.7%
 Movement 1 100.0%
Geographic location 1 16.7%
 Area 1 100.0%
Cholera 4 100.0%
Social determinants of health 3 75.0%
 Medical capacity 1 33.3%
 Malnutrition 1 33.3%
 Sanitation 1 33.3%
Geographic location 1 25.0%
 Region 1 100.0%
Ebola 4 100.0%
Social determinants of health 2 50.0%
 Medical capacity 1 50.0%
 Vulnerability 1 50.0%
Contact and movement behaviour 1 25.0%
 Movement 1 100.0%
Geographic location 1 25.0%
 Country 1 100.0%
Sexually transmitted infection (Chlamydia and Gonorrhoea) 4 100.0%
Vulnerable populations 3 75.0%
 Female sex workers 1 33.3%
 People living with HIV 1 33.3%
 Youth 1 33.3%
Contact and movement behaviour 1 25.0%
 Contact 1 100.0%
Rubella 3 100.0%
Contact and movement behaviour 1 33.3%
 Contact 1 100.0%
Demographics 1 33.3%
 Age 1 100.0%
Social determinants of health 1 33.3%
 Disease risk 1 100.0%
Polio 3 100.0%
Contact and movement behaviour 1 33.3%
 Contact 1 100.0%
Demographics 1 33.3%
 Age 1 100.0%
Geographic location 1 33.3%
 Region 1 100.0%
Cutaneous Leishmaniasis 1 100.0%
Geographic location 1 100.0%
 Country 1 100.0%
Severe acute respiratory syndrome 1 100.0%
Knowledge, attitudes, and practices 1 100.0%
 Avoidance behaviour 1 100.0%
Typhoid fever 1 100.0%
Social determinants of health 1 100.0%
 Socioeconomic status 1 100.0%

aSEIFA is a continuous variable and summarises average socio-economic characteristics, including education, occupation, and wealth and can be used to describe the distribution of social and economic well-being