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ABSTRACT: Author summary
Designing and implementing effective programs for infectious disease control requires complex decision-making, informed by an understanding of the diseases, the types of disease interventions and control measures available, and the disease-relevant characteristics of the local community. Though disease modeling frameworks have been developed to address these questions and support decision-making, the complexity of current models presents a significant barrier to on-the-ground end users. The picture is further complicated when considering approaches for integration of different disease control programs, where co-infection dynamics, treatment interactions, and other variables must also be taken into account. Here, we describe the development of an application available
SUBMITTER: Standley CJ
PROVIDER: S-EPMC5896906 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature