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Table 3 Indicators (N = 342) used in published articles which included an infectious disease mathematical model with social vulnerability incorporated

From: Incorporating social vulnerability in infectious disease mathematical modelling: a scoping review

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%

  1. 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