HIV Zambian data by region, together with polygons describing the regions' shapes.
data(hiv)
data(hiv.polys)hiv is a 6416 row data frame with the following columns:
binary variable indicating consent to test for HIV.
binary variable indicating whether an individual is HIV positive (status = 1) or not (status = 0).
age in years.
years of education.
wealth index.
code identifying region, and matching names(hiv.polys). It can take nine possible values: 1 central, 2 copperbelt, 3 eastern,
4 luapula, 5 lusaka, 6 northwestern, 7 northern, 8 southern, 9 western.
never married, currently married, formerly married.
had a sexually transmitted disease.
had high risk sex.
number of partners.
used condom during last intercourse.
equal to 1 if would care for an HIV-infected relative.
equal to 1 if know someone who died of HIV.
equal to 1 if previously tested for HIV.
smoker or not.
bemba, lunda (luapula), lala, ushi, lamba, tonga, luvale, lunda (northwestern), mbunda, kaonde, lozi, chewa, nsenga, ngoni, mambwe, namwanga, tumbuka, other.
English, Bemba, Lozi, Nyanja, Tonga, other.
interviewer identifier.
age the individual had sex.
four categories.
survey weights.
hiv.polys contains the polygons defining the areas in the format described below.
The data frame hiv relates to the regions whose boundaries are coded in hiv.polys.
hiv.polys[[i]] is a 2 column matrix, containing the vertices of the polygons defining the boundary of the ith
region. names(hiv.polys) matches hiv$region (order unimportant).
Marra G., Radice R., Barnighausen T., Wood S.N. and McGovern M.E. (2017), A Simultaneous Equation Approach to Estimating HIV Prevalence with Non-Ignorable Missing Responses. Journal of the American Statistical Association, 112(518), 484-496.