Seasonally dependent relationships between indicators of malaria transmission and disease provided by mathematical model simulations.

ABSTRACT: Evaluating the effectiveness of malaria control interventions on the basis of their impact on transmission as well as impact on morbidity and mortality is becoming increasingly important as countries consider pre-elimination and elimination as well as disease control. Data on prevalence and transmission are traditionally obtained through resource-intensive epidemiological and entomological surveys that become difficult as transmission decreases. This work employs mathematical modeling to examine the relationships between malaria indicators allowing more easily measured data, such as routine health systems data on case incidence, to be translated into measures of transmission and other malaria indicators. Simulations of scenarios with different levels of malaria transmission, patterns of se

SUBMITTER: Stuckey EM 

PROVIDER: S-EPMC4154642 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature