Malaria prevalence metrics in low- and middle-income countries: an assessment of precision in nationally-representative surveys.

ABSTRACT:

Background

One pillar to monitoring progress towards the Sustainable Development Goals is the investment in high quality data to strengthen the scientific basis for decision-making. At present, nationally-representative surveys are the main source of data for establishing a scientific evidence base, monitoring, and evaluation of health metrics. However, little is known about the optimal precisions of various population-level health and development indicators that remains unquantified in nationally-representative household surveys. Here, a retrospective analysis of the precision of prevalence from these surveys was conducted.

Methods

Using malaria indicators, data were assembled in nine sub-Saharan African countries with at least two nationally-representative surveys. A Bayes

SUBMITTER: Alegana VA 

PROVIDER: S-EPMC5697056 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature