hiv.mortmod: HIV calibrated model life tables for countries with generalized HIV epidemics

Description

This function produces a complete set of mortality rates for ages 0, 1-4, 5-9, 10-14, ...,100+ and life table given a region, sex, and set of inputs which must include HIV prevalence and one of the following mortality indicators: life expectancy at birth (e0), child mortality alone (5q0), or child mortality with adult mortality (45q15)

Usage

hiv.mortmod(prev=NULL, e0=NULL, child.mort = NULL, adult.mort = NULL, model = 1, 
region = 1, sex = 1, lt = FALSE, nax=NULL, opt=TRUE)

Arguments

HIV prevalence expressed as a percentage

Life expectancy at birth (used only if model=1)

child.mort

Probability of death between age 0 and 5, 5q0 (used only if model=2 or model=3)

adult.mort

Probability of death between age 15 and 60, 45q15 (used only if model=3)

model

An interger to indicate which inputs will be used on the model. 1 for life expectancy, 2 for child mortality alone, 3 for child mortality with adult mortality

region

An integer to indicate which regional model to use. 1 for Africa, 0 for Caribbean or Latin American

sex

An interger to indicate the sex of the desired life table. 1 for female, 0 for male

Logical. If TRUE a life table is calculated based on the estimated mortality rates. The user can supply nax values. Otherwise, the assumption of half the length of the age interval is used for nax values.

nax

If lt=TRUE, the user can supply a set of nax values

opt

If model=1, opt=TRUE will use a value for the weight for the first SVD component that produces a set of age-specific mortality rates that produce a life exepctancy at birth that matches the input life exepctancy.

Value

nmx: The estimated nmx values produced by the model
lt: If lt=TRUE A life table with age intervals matching those of the nmx schedule on which the table is built and with columns for age, nax, nmx, nqx, npx, ndx, lx, nLx, Tx, and ex.
lt.5q0: If lt=TRUE The probability of death between birth and age 5
lt.45q15: If lt=TRUE The probability of death between age 15 and 60

Examples

Run this code

## a life table at 1.5 percent prevalence, life expectancy of 60, for Africa Females
hiv.mortmod(prev=1.5, e0=60, model=1, region=1, sex=1, lt=TRUE)

## a set of mortality rates at 2.5 percent prevalence, life expectancy of 53, 
## for Caribbean Males
hiv.mortmod(prev=2.5, e0=53, model=1, region=0, sex=0, lt=FALSE)

Run the code above in your browser using DataLab

The Learning Leader's Guide to AI Literacy