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Table 1 Model parameters for widow cleansing and wife inheritance

From: Mitigating HIV risk associated with widow cleansing and wife inheritance using combined biomedical and structural interventions in western Kenya: a mathematical modeling study

Parameter

Value

Source

(i) Values used as model inputs

 Proportion of widowed women who undergo wife inheritance

56.4%

[14]

 Proportion of widowed women who undergo widow cleansing

40.6%

[14]

 Proportion of all men available to perform professional (paid) cleansing

0.2%

Assumed

 Proportion of all men available to perform non-professional cleansing

30%

Assumed

 Proportion of cleansing performed by a professional cleanser

31%

[14]

 Proportion of cleansing performed by a non-professional cleanser

69%

[14]

 Proportion of all men available to be a professional (paid) inheritor

0.2%

Assumed

 Proportion of all men who are available to be a non-professional inheritor

30%

Assumed

 Proportion of inheritance performed by professional (paid) inheritors

28%

[14]

 Proportion of inheritance performed by non-professional inheritors

72%

[14]

 Delay time from husband’s death until widow cleansing occurs

2–12 monthsa

[4]

 Delay time from widow cleansing until wife inheritance

 < 1 monthb

[4]

(ii) Data used for model validationc

 HIV prevalence among inherited widows, 2003–2007d

64.1% (95% CI: 63.2–65.4%)

[14]

 HIV prevalence among women ages 15–49, 2003

18.3% (95% CI: 13.3–23.9%)

[45]

 HIV prevalence among men ages 15–49, 2003

11.6% (95% CI: 6.8–17.4%)

[45]

 HIV prevalence among women ages 15–49, 2007

17.6% (95% CI: 14.2–21.3%)

[46]

 HIV prevalence among men ages 15–49, 2007

11.4% (95% CI: 8.5–14.6%)

[46]

 HIV prevalence among women ages 15–49, 2008

16.0% (95% CI: 12.0–20.5%)

[47]

 HIV prevalence among men ages 15–49, 2008

11.4% (95% CI: 7.9–15.5%)

[47]

 HIV prevalence among women ages 15–49, 2012

17.6% (95% CI: 13.1–22.6%)

[48]

 HIV prevalence among men ages 15–49, 2012

13.4% (95% CI: 9.3–18.1%)

[48]

 HIV prevalence among women ages 15–49, 2018

8.3% (95% CI: 6.7–10.0%)

[49]

 HIV prevalence among men ages 15–49, 2018

16.7% (95% CI: 14.5–19.0%)

[49]

  1. aIn the model, the delay time is assigned as a value randomly selected from a uniform distribution of 2 and 12 months, for a mean delay of 7 months
  2. bTypical delay times are 1–2 weeks. Because the model timestep was 1 month, this delay was not modeled
  3. cAdditional HIV prevalence data are provided in Additional file 1: Table 1
  4. dThese data were not used as input. Instead, the data were used to validate that modeling the process produced correct HIV prevalence after the other listed parameters were added to the model