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Understanding the dynamics of the HIV epidemic in Rwanda Dr. Anita Asiimwe, CNLS Andrew Koleros, MEASURE Evaluation Dr. Jenifer Chapman, MEASURE Evaluation Pierre Dongier, CNLS
[object Object],[object Object]
Introduction to the Modes of Transmission Model ,[object Object],[object Object],[object Object],[object Object]
 
Methods ,[object Object],[object Object],[object Object],[object Object]
Composition of risk groups by category Category 1: General heterosexual population Category 2: Other risk groups No risk (individuals reporting no sexual intercourse in last 12 months) Female sex workers (commercial and transactional) Low Risk (individuals reporting one sexual partner in last 12 months) Clients of female sex workers (commercial and transactional) High Risk (individuals reporting >1 sexual partner in the last 12 months) Men who have sex with men (MSM) Partners of those reporting high risk sexual intercourse Prisoners Medical injections Blood transfusions
Sensitivity Analyses ,[object Object],[object Object],[object Object]
Independent scenario analysis models for risk groups High population size Low HIV prevalence High population size Medium HIV prevalence High population size High HIV prevalence Medium population Low HIV prevalence Medium population size Medium HIV prevalence Med. population size High HIV prevalence Low population size Low HIV prevalence Low population size Medium HIV prevalence Low population size High HIV prevalence
[object Object]
Choosing scenarios ,[object Object],[object Object],[object Object]
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Interpretation: individuals reporting 1 sex partner (last 12 months) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Interpretation: FSW ,[object Object],[object Object],[object Object]
Major Limitations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Recommendations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Understanding the dynamics of the HIV epidemic in Rwanda

  • 1. Understanding the dynamics of the HIV epidemic in Rwanda Dr. Anita Asiimwe, CNLS Andrew Koleros, MEASURE Evaluation Dr. Jenifer Chapman, MEASURE Evaluation Pierre Dongier, CNLS
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  • 6. Composition of risk groups by category Category 1: General heterosexual population Category 2: Other risk groups No risk (individuals reporting no sexual intercourse in last 12 months) Female sex workers (commercial and transactional) Low Risk (individuals reporting one sexual partner in last 12 months) Clients of female sex workers (commercial and transactional) High Risk (individuals reporting >1 sexual partner in the last 12 months) Men who have sex with men (MSM) Partners of those reporting high risk sexual intercourse Prisoners Medical injections Blood transfusions
  • 7.
  • 8. Independent scenario analysis models for risk groups High population size Low HIV prevalence High population size Medium HIV prevalence High population size High HIV prevalence Medium population Low HIV prevalence Medium population size Medium HIV prevalence Med. population size High HIV prevalence Low population size Low HIV prevalence Low population size Medium HIV prevalence Low population size High HIV prevalence
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Editor's Notes

  1. This quote from George Box, one of the most influential statisticians of the last century, puts it nicely. Essentially, all models are wrong, but some are useful. Models help us to better understand what we think we know and perhaps most importantly what we need to find out.
  2. Every individual, aged 15-49 is allocated to an independent risk group Detailed demographic, epidemiological and behavioral data is collected for each risk group
  3. allocated from the adult population, aged 15-49