A Spatial Autocorrelation Method for Taenia solium Risk Mapping: The Case of Lao PDR.

ABSTRACT:

Background

The World Health Organization has identified Taenia solium mapping tools as an important development for intensifying control in hyperendemic areas. Taenia solium has also been identified as a priority by the Lao PDR government. There is a limited understanding of the distribution of T. solium due to inherent diagnostic challenges.

Method

Global and local autocorrelation statistics were applied to available risk factor data sourced from national censuses to map the risk of Taenia solium in Lao PDR.

Results

Approximately 50% of villages could be considered hot spots for one or more risk factors. Different risk factor hot spots co-occurred in 30% of villages. Twenty per cent of villages were classified as hot spots for the proporti

SUBMITTER: Larkins A 

PROVIDER: S-EPMC10146971 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature