Disease Transmission Models for Public Health Decision-Making: Designing Intervention Strategies for Schistosoma japonicum
The purpose of infectious disease transmission modelling is often to understand the factors that are responsible for the persistence of transmission, the dynamics of the infection process and how best to control transmission. As such, there should be great potential to use mathematical models to routinely plan and evaluate disease control programs. In reality, there are many challenges that have precluded the practical use of disease models in this regard. One challenge relates to the mathematical complexity of the models, which has made it difficult for field workers and health officials to understand and use them. Another challenge is that, despite their mathematical complexity, models typically do not have sufficient structural complexity to consider many of the site-specific epidemiologic and disease control details that the practicing health official routinely considers. Moreover, most modelling studies have not been sufficiently explicit or exemplary in explaining how field data may be incorporated into the models to impact public health decision-making. In this chapter, we start with a classic model of schistosomiasis transmission and relate its key properties to the more detailed model of Schistosoma japonicum model presented in chapter by Remais and chapter by Spear and Hubbard. We then discuss how various controls (e.g., chemotherapy, snail control and sanitation) may be evaluated via the detailed model. We then demonstrate in a practical manner, using S. japonicum data from China, how field data may be incorporated to inform the practice of disease control. Finally, we present a new model structure that considers how heterogeneous populations are interconnected, which has particular relevance to understanding disease control and emergence in today’s highly mobile world.
KeywordsBasic Reproduction Number Worm Burden Hydrological Connectivity Schistosoma Japonicum Snail Infection
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- 3.Barbour AD. Schistosomiasis. In: Anderson RM, ed. Population dynamics of infectious diseases. London: Chapman and Hall, 1982:180–208.Google Scholar
- 13.Chen MG. Schistosoma japonicum and S. japonicum-like infections: epidemiology, clinical and pathological aspects. In: Jordan P, Webbe G, Sturrock RF, eds. Human Schistosomiasis. Wallingford: CAB International, 1993:237–270.Google Scholar
- 15.Riley S, Carabin H, Marshall C et al. Estimating and modeling the dynamics of the intensity of infection with Schistosoma japonicum in villagers of leyte, Philippines. Part II: Intensity-specific transmission of S. japonicum. The schistosomiasis transmission and ecology project. Am J Trop Med Hyg 2005; 72(6):754–761.PubMedGoogle Scholar
- 16.Gurarie D, Seto EY. Connectivity sustains disease transmission in environments with low potential for endemicity: modelling schistosomiasis with hydrologic and social connectivities. J R Soc Interface 2008; Epub ahead of print.Google Scholar
- 18.WHO. Preventive chemotherapy in human helminthiasis: coordinated use of anthelminthic drugs in control interventions: a manual for health professionals and programme managers. Geneva: WHO, 2006.Google Scholar
- 19.WHO. The control of schistosomiasis: Second report of the WHO expert committee. Geneva: WHO, 1993.Google Scholar
- 20.Zhou XN, Guo JG, Wu XH et al. Epidemiology of Schistosomiasis in the People’s Republic of China, 2004. Emerg Infect Dis 2007; 12(10):1470–1476.Google Scholar