Curitiba: Curitiba Dataset

In NSUM: Network Scale Up Method

Description

This dataset contains the subpopulation sizes and parameters used for simulations involving the Curitiba data.

Usage

data("Curitiba")

Format

A list with the following 7 variables.

known

a vector of positive numbers, the sizes of known subpopulations.

unknown

a vector of positive numbers, the sizes of unknown subpopulations.

N

a positive number, the (known) total population size.

mu

a real number, the location parameter for the log-normal distribution of network degrees, with default 5.

sigma

a positive number, the scale parameter for the log-normal distribution of network degrees, with default 1.

rho

a vector of numbers between 0 and 1 with length equal to the total number of subpopulations, known and unknown, the dispersion parameters for the barrier effects, with defaults 0.1.

tauK

a vector of numbers between 0 and 1 with length equal to the total number of unknown subpopulations, the multipliers for the transmission biases, with defaults 1.

Details

The Curitiba dataset consists of 500 adult residents of Curitiba, Brazil and was collected through a household-based random sample in 2010.

Source

Salganik, M., Fazito, D., Bertoni, N., Abdo, A., Mello, M., and Bastos, F. (2011a), "Assessing Network Scale-up Estimates for Groups Most at Risk of HIV/AIDS: Evidence From a Multiple-Method Study of Heavy Drug Users in Curitiba, Brazil," American Journal of Epidemiology, 174, 1190-1196.

Examples

## load data
data(Curitiba)

## simulate from model with transmission bias
sim.trans <- with(Curitiba, nsum.simulate(100, known, unknown, N, model="transmission", 
                                          mu, sigma, tauK))

NSUM documentation built on May 2, 2019, 9:28 a.m.