Disease transmission models for public health decision making: Toward an approach for designing intervention strategies for schistosomiasis japonica

Environmental Health Perspectives

Volumn 110, Issue 9, 2002, Pages 907-915

  Spear, Robert C ^a   Hubbard, Alan ^a   Liang, Song ^a   Seto, Edmund ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Disease transmission; Mathematical models; Parameter estimation; Schistosomiasis

Indexed keywords

ACCURACY; ARTICLE; BAYES THEOREM; CHINA; COMPUTER SIMULATION; COST EFFECTIVENESS ANALYSIS; DISEASE TRANSMISSION; FEASIBILITY STUDY; GLOBAL POSITIONING SYSTEM; HUMAN; INFECTION CONTROL; INFORMATION PROCESSING; INFORMATION SYSTEM; MATHEMATICAL MODEL; MEDICAL DECISION MAKING; PREDICTION; PRIORITY JOURNAL; PUBLIC HEALTH; REMOTE SENSING; SCHISTOSOMA JAPONICUM; SCHISTOSOMIASIS; TECHNOLOGY; TIME;

JAPONICA; SCHISTOSOMA; SCHISTOSOMA JAPONICUM; TREMATODA;

EID: 0036738659     PISSN: 00916765     EISSN: None     Source Type: Journal    
DOI: 10.1289/ehp.02110907     Document Type: Article

References (27)

1. Anderson RM, May RM. 1985. Helminth infections of humans: mathematical models, population dynamics, and control. Adv Parasitol 24:1-101.
2. Anderson RM, May RM. 1991. Infectious Diseases of Humans: Dynamics and Control. New York:Oxford University Press.
3. Bakshi BR, Utojo U. 1998. Unification of neural and statistical modeling methods that combine inputs by linear projection. Comput Chem Eng 22:1859-1878.
4. Chen MG. 1999. Progress in schistosomiasis control in China. Chin Med J 112:930-933.
5. Chen MG, Zheng F. 1999. Schistosomiasis control in China. Parasitol Int 48:11-19.
6. De Vlas SJ, Gryseels B, Van Oortmarssen GJ, Polderman AM, Habbema JDF. 1992. A model for variations in single and repeated egg counts in Schistosoma mansoni infections. Parasitol 104:451-460.
7. Eisenberg JNS, Seto E, Olivieri A, Spear R. 1996. Quantifying water pathogen risk in an epidemiological framework. Risk Anal 16:549-563.
8. Eisenberg JNS, Brookhart MA, Rice G, Brown M, Colford JM. 2002. Disease transmission models for public health decision making: analysis of epidemic and endemic conditions caused by waterborne pathogens. Environ Health Perspect 110:783-790 (2002).
9. Grieb TM, Hudson RJM, Shang N, Spear RC, Gherini SA, Goldstein RA. 1999. Examination of model uncertainty and parameter interaction in a global carbon cycling model (GLOCO). Environ Int 25:787-803.
10. Hotez PJ, Feng Z, Xu LQ, Chen MG, Xiao SH, Liu SX, et al. 1997. Emerging and reemerging helminthiases and the public health of China. Emerg Infect Dis 3:303-310.
11. Kendall BE, Briggs CJ, Murdoch WW, Turchin P, Ellner SP, McCauley E, et al. 1999. Why do populations cycle? A synthesis of statistical and mechanistic modeling approaches. Ecology (Washington, DC) 80:1789-1805.
12. Liang S, Maszle D, Spear RC. 2002. A quantitative framework for a multi-group model of Schistosomiasis japonicum transmission dynamics and control in Sichuan, China. Acta Trop 82:263-277.
13. MacDonald G. 1965. The dynamics of helmingth infections, with special reference to schistosomes. Trans R Soc Trop Med Hyg 59:489-506.
14. Maszle DR. 1998. Dynamic Modeling for the Control of Schistosomiasis in China in Light of Parametric Uncertainty [PhD thesis]. Berkeley, CA:University of California, Berkeley/San Francisco.
15. Morgan MG, Henrion M, Small M. 1990. Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge, UK:Cambridge University Press.
16. Poole D, Raftery AE. 2000. Inference for deterministic simulation models: the Bayesian melding approach. J Am Stat Assoc 95:1244-1255.
17. Raftery AE, Givens GH, Zeh JE. 1995. Inference from a deterministic population-dynamics model for bowhead whales. J Am Stat Assoc 90:402-416.
18. Ross AGP, Yuesheng L, Sleigh AC, Williams GM, Hartel GF, Forsyth SJ, et al. 1998. Measuring exposure to S. japonicum in China. I. Activity diaries to assess water contact and comparison to other measures. Acta Trop 71:213-228.
19. Seto E, Liang S. 2002. Schistosomiasis in China. Available: http://ehs.sph.berkeley.edu/china [accessed 28 July 2002].
20. Seto E, Liang S, Qiu D, Gu X, Spear RC. 2001. A protocol for geographically randomized snail surveys in schistosomiasis fieldwork using the global positioning system. Am J Trop Med Hyg 64:98-99.
21. SIPD. 1998. The Impact of Environmental Change on the Occurrence of Schistosomiasis in the Three Gorges Area. Technical Report 94-8-11. Chengdu:Sichuan Institute of Parasitic Disease.
22. Spear RC, Bois FY, Woodruff T, Auslander D, Parker J, Selvin S. 1991. Modeling benzene pharmacokinetics across three sets of animal data - parametric sensitivity and risk implications. Risk Anal 11:641-654.
23. Spear RC, Grieb T, Shang N. 1994. Parameter uncertainty and interaction in complex environmental models. Water Resour Res 30:3159-3169.
24. Spear RC, Hornberger G. 1980. Eutrophication in Peel Inlet. II. Identification of critical uncertainties via generalized sensitivity analysis. Water Res 14:43-49.
25. WHO. 1993. The Control of Schistosomiasis. Second Report of the WHO Expert Committee. Technical Report Series 830. Geneva:World Health Organization.
26. Woolhouse MEJ. 1991. On the application of mathematical models of schistosome transmission dynamics. I. Natural transmission. Acta Trop 49:241-270.
27. Zhou Y, Maszle DR, Gong P, Spear RC, Gu XG. 1997. GIS-based spatial models of schistosomiasis infection. Geol Info Sci 2:51-57.