# infectious diseases epidemiology

posted by on .

1. You are in charge of HIV prevention in Sydney, Australia, which celebrates a 2-week long Gay and Lesbian Mardi Gras and is famous for the sexual liberties taken during that period. Which groups, from those listed below, do you target for interventions? Why? Assume that the probability of HIV transmission during an encounter is 0.03, and that condom use decreases this probability to 0.001. Show all calculations and state any assumptions made. In addition to any calculations, you should explain which group you decide to target and how (2 marks for discussion; approximately half a page).

a. Occasional sex workers with an average of 2 clients per day for 50 days per year. All use condoms when able, but the average rate of use is 5%. The HIV prevalence in this group is 15%. There are 1000 people in this group who live in Sydney year-round (1 mark for calculations).

b. HIV-positive vacationers who come to Sydney for Mardi Gras and who stay on average 2 weeks; they have on average 3 partners per day and engage in ‘risky behaviors’ that increase the HIV transmission probability to 0.06. You anticipate 5000 visitors with this profile (1 mark for calculations).

c. Professional sex workers with an average of 2 clients per day for 300 days per year. All use condoms when able and the average rate of use is 90%. The HIV prevalence in this group is 50%. There are 3000 people in this group, who live in Sydney year-round (1 mark for calculations).

• infectious diseases epidemiology - ,

Please note that we don't do students' homework for them. Be sure to go back into your textbook or use a good search engine. http://hanlib.sou.edu/searchtools/

Once YOU have come up with attempted answers to YOUR questions, please re-post and let us know what you think. Then someone here will be happy to comment on your thinking.

• infectious diseases epidemiology - ,

iEpidemiology is a simple to use calculator for the analysis of epidemiologic study data.

Enter your study data (exposed/unexposed, cases/non-cases or person-time) and calculate crude relative risk, risk difference, and confidence intervals.

Currently Features:
- Rate Data
- Risk Data
- Risk Difference
- Number Needed to Treat (NNT)
- Case Control Data

Available in the Apple App Store