Bayesian estimation of community prevalences of Schistosoma japonicum infection in China

International Journal for Parasitology

Volumn 36, Issue 8, 2006, Pages 895-902

  Wang, Xian Hong ^a   Wu, Xiao Hua ^a   Zhou, Xiao Nong ^a  

^a CHINESE CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

Author keywords

Bayesian statistics; China; ELISA; Kato Katz; Prevalence; Schistosoma japonicum

Indexed keywords

BAYESIAN ANALYSIS; DISEASE PREVALENCE; ESTIMATION METHOD; FLATWORM; PARASITE PREVALENCE; SCHISTOSOMIASIS;

ADULT; AGED; ARTICLE; BAYES THEOREM; CHINA; COMMUNITY ASSESSMENT; DATA ANALYSIS; DATA BASE; ENZYME LINKED IMMUNOSORBENT ASSAY; EPIDEMIC; HEALTH SURVEY; HUMAN; INFECTION CONTROL; PARASITE IDENTIFICATION; PARASITE PREVALENCE; PRESCHOOL CHILD; SCHISTOSOMA JAPONICUM; SCHISTOSOMIASIS; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ADOLESCENT; ADULT; AGED; ANIMALS; ANTIBODIES, PROTOZOAN; BAYES THEOREM; CHILD; CHINA; ENZYME-LINKED IMMUNOSORBENT ASSAY; FECES; HUMANS; MIDDLE AGED; MODELS, BIOLOGICAL; PREVALENCE; RURAL POPULATION; SCHISTOSOMA JAPONICUM; SCHISTOSOMIASIS JAPONICA; SENSITIVITY AND SPECIFICITY; SEROEPIDEMIOLOGIC STUDIES;

ASIA; CHINA; EURASIA; FAR EAST;

SCHISTOSOMA JAPONICUM;

EID: 33845276030     PISSN: 00207519     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpara.2006.04.003     Document Type: Article

References (51)

1. Andersen S. Re: 'Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard'. Am. J. Epidemiol. 145 (1997) 290-291
2. Basanez M.G., Marshall C., Carabin H., Gyorkos T., and Joseph L. Bayesian statistics for parasitologists. Trends Parasitol. 20 (2004) 85-91
3. Bergquist N.R. Schistosomiasis: from risk assessment to control. Trends Parasitol. 18 (2002) 309-314
4. Black M.A., and Craig B.A. Estimating disease prevalence in the absence of a gold standard. Stat. Med. 21 (2002) 2653-2669
5. Borel N., Doherr M.G., Vretou E., Psarrou E., Thoma R., and Pospischil A. Seroprevalences for ovine enzootic abortion in Switzerland. Prev. Vet. Med. 65 (2004) 205-216
6. Branscum A.J., Gardner I.A., and Johnson W.O. Bayesian modeling of animal- and herd-level prevalences. Prev. Vet. Med. 66 (2004) 101-112
7. Carabin H., Escalona M., Marshall C., Vivas-Martinez S., Botto C., Joseph L., and Basanez M.G. Prediction of community prevalence of human onchocerciasis in the Amazonian onchocerciasis focus: Bayesian approach. Bull. World Health Organ. 81 (2003) 482-490
8. Carabin H., Balolong E., Joseph L., McGarvey S.T., Johansen M.V., Fernandez T., Willingham A.L., Olveda R., and Schistosomiasis Transmission And Ecology In The Philippines Step Project. Estimating sensitivity and specificity of a faecal examination method for Schistosoma japonicum infection in cats, dogs, water buffaloes, pigs, and rats in Western Samar and Sorsogon Provinces, The Philippines. Int. J. Parasit. 35 (2005) 1517-1524
9. Chen M.G., and Feng Z. Schistosomiasis control in China. Parasitol. Int. 48 (1999) 11-19
10. Chen X.Y., Wang L.Y., Cai J.M., Zhou X.N., Zheng J., Guo J.G., Wu X.H., Engels D., and Chen M.G. Schistosomiasis control in China: the impact of a 10-year World Bank Loan Project (1992-2001). Bull. World Health Organ. 83 (2005) 43-48
11. Christensen J., and Gardner I.A. Herd-level interpretation of test results for epidemiologic studies of animal diseases. Prev. Vet. Med. 45 (2000) 83-106
12. Congdon P. Applied Bayesian Modelling (2003), Wiley, England pp. 1-30
13. Dendukuri N., and Joseph L. Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Biometrics 57 (2001) 158-167
14. Doenhoff M.J., Chiodini P.L., and Hamilton J.V. Specific and sensitive diagnosis of schistosome infection: can it be done with antibodies?. Trends Parasitol. 20 (2004) 35-39
15. Dorny P., Phiri I.K., Vercruysse J., Gabriel S., Willingham III A.L., Brandt J., Victor B., Speybroeck N., and Berkvens D. A Bayesian approach for estimating values for prevalence and diagnostic test characteristics of porcine cysticercosis. Int. J. Parasitol. 34 (2004) 569-576
16. Enoe C., Georgiadis M.P., and Johnson W.O. Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown. Prev. Vet. Med. 45 (2000) 61-81
17. Evans R.B., and Erlandson K. Robust Bayesian prediction of subject disease status and population prevalence using several similar diagnostic tests. Stat. Med. 23 (2004) 2227-2236
18. Gardner I.A., Stryhn H., Lind P., and Collins M.T. Conditional dependence between tests affects the diagnosis and surveillance of animal diseases. Prev. Vet. Med. 45 (2000) 107-122
19. Gelman A., and Rubin D.B. Inference from iterative simulations using multiple sequences. Statist. Sci. 7 (1992) 457-472
20. Georgiadis M.P., Johnson W.O., Gardner I.A., and Singh R. Correlation-adjusted estimation of sensitivity and specificity of two diagnostic tests. Appl. Stat. 52 (2003) 63-76
21. Geurden T., Claerebout E., Vercruysse J., and Berkvens D. Estimation of diagnostic test characteristics and prevalence of Giardia duodenalis in dairy calves in Belgium using a Bayesian approach. Int. J. Parasitol. 34 (2004) 1121-1127
22. Giboda M., and Bergquist N.R. Post-transmission schistosomiasis. Parasitol. Today 15 (1999) 307-308
23. Greiner M., and Gardner I.A. Application of diagnostic tests in veterinary epidemiologic studies. Prev. Vet. Med. 45 (2000) 43-59
24. Johnson W.O., Gastwirth J.L., and Pearson L.M. Screening without a 'gold standard': the Hui-Walter paradigm revisited. Am. J. Epidemiol. 153 (2001) 921-924
25. Joseph L., Gyorkos T.W., and Coupal L. Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard. Am. J. Epidemiol. 141 (1995) 263-272
26. Katz N., Chaves A., and Pellegrino J. A simple device for quantitative stool thick-smear technique in Schistosomiasis mansoni. Rev. Inst. Med. Trop. Sao Paulo 14 (1972) 397-400
27. Li Y.S., Sleigh A.C., Ross A.G., Williams G.M., Tanner M., and McManus D.P. Epidemiology of Schistosoma japonicum in China: morbidity and strategies for control in the Dongting Lake region. Int. J. Parasitol. 30 (2000) 273-281
28. Li Y.S., Zhao Z.Y., Ellis M., and McManus D.P. Applications and outcomes of periodic epidemiological surveys for schistosomiasis and related economic evaluation in the People's Republic of China. Acta Trop. 96 (2005) 266-275
29. Mintiens K., Verloo D., Venot E., Laevens H., Dufey J., Dewulf J., Boelaert F., Kerkhofs P., and Koenen F. Estimating the probability of freedom of classical swine fever virus of the East-Belgium wild-boar population. Prev. Vet. Med. 70 (2005) 211-222
30. Office of EDC, M.O.H., Expert Advisory Committee on Schistosomiasis, M.O.H., Institute of Parasitic Diseases, C.A.P.M. An introduction of a nationwide sampling survey on schistosomiasis in China. Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi 16 (1998) 84-88
31. Orr K.A., O'Reilly K.L., and Scholl D.T. Estimation of sensitivity and specificity of two diagnostics tests for bovine immunodeficiency virus using Bayesian techniques. Prev. Vet. Med. 61 (2003) 79-89
32. Ross A.G., Li Y., Sleigh A.C., Williams G.M., and McManus D.P. Faecal egg aggregation in humans infected with Schistosoma japonicum in China. Acta Trop. 70 (1998) 205-210
33. Ross A.G., Sleigh A.C., Li Y., Davis G.M., Williams G.M., Jiang Z., Feng Z., and McManus D.P. Schistosomiasis in the People's Republic of China: prospects and challenges for the 21st century. Clin. Microbiol. Rev. 14 (2001) 270-295
34. Schaik G.V., Schukken Y.H., Crainiceanu C., Muskens J., and VanLeeuwen J.A. Prevalence estimates for paratuberculosis adjusted for test variability using Bayesian analysis. Prev. Vet. Med. 60 (2003) 281-295
35. Schurink C.A., Lucas P.J., Hoepelman I.M., and Bonten M.J. Computer-assisted decision support for the diagnosis and treatment of infectious diseases in intensive care units. Lancet Infect. Dis. 5 (2005) 305-312
36. Smith A.F.M., and Roberts G.O. Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods. J. Roy. Statist. Soc. B. 55 (1993) 3-24
37. Toft N., Jorgensen E., and Hojsgaard S. Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard. Prev. Vet. Med. 68 (2005) 19-33
38. Tu X.M., Kowalski J., and Jia G. Bayesian analysis of prevalence with covariates using simulation-based techniques: applications to HIV screening. Stat. Med. 18 (1999) 3059-3073
39. Utzinger J., Vounatsou P., N'Goran E.K., Tanner M., and Booth M. Reduction in the prevalence and intensity of hookworm infections after praziquantel treatment for schistosomiasis infection. Int. J. Parasitol. 32 (2002) 759-765
40. Wang X.Y., Hong X.L., Yan J.L., Lu R.G., Shao D., Yang S.G., Zhong J.H., and Li Z.H. Study on cost-effectiveness of strategy of examination and therapy with IHA after mass questionnaire in middle-endemic areas of schistosomiasis. Chin. J. Schisto. Control 12 (2000) 277-279
41. WHO workshop. Quantitative aspects of the epidemiology of Schistosoma japonicum infection in a rural community of Luzon, Philippines. Philippines. Bull. World Health Organ. 58 (1980) 629-638
42. Willian M.B. Introduction to Bayesian Statistics (2004), Wiley, Hoboken, NJ pp. 129-146
43. Wu G.L. A historical perspective on the immunodiagnosis of schistosomiasis in China. Acta Trop. 82 (2002) 193-198
44. Wu W.L., Wang J.R., Wen L.Y., Huang Y.Y., Xu X.F., and Yu W.M. Surveillance and control of post-transmission schistosomiasis in Jiaxing prefecture, Zhejiang province, China. Acta Trop. 96 (2005) 282-287
45. Yuan H.C. Schistosomiasis control in China. Mem. Inst. Oswaldo Cruz 90 (1995) 297-301
46. Zheng J. A brief introduction to a nation-wide sampling survey on schistosomiasis. Chin. Med. J. (Engl.) 106 (1993) 569-575
47. Zhou X.N., Wang T.P., Wang L.Y., Guo J.G., Yu Q., Xu J., Wang R.B., Chen Z., and Jia T.W. The current status of schistosomiasis epidemics in China. Zhonghua Liu Xing Bing Xue Za Zhi 25 (2004) 555-558
48. Zhou X.N., Chen J.X., Chen M.G., and Bergquist R. The National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention: a new administrative structure for schistosomiasis control. Acta Trop. 96 (2005) 296-302
49. Zhou X.N., Wang L.Y., Chen M.G., Wu X.H., Jiang Q.W., Chen X.Y., Zheng J., and Utzinger J. The public health significance and control of schistosomiasis in China-then and now. Acta Trop. 96 (2005) 97-105
50. Zhu Y.C. Immunodiagnosis and its role in schistosomiasis control in China: a review. Acta Trop. 96 (2005) 130-136
51. Zhu Y.C., Socheat D., Bounlu K., Liang Y.S., Sinuon M., Insisiengmay S., He W., Xu M., Shi W.Z., and Bergquist R. Application of dipstick dye immunoassay (DDIA) kit for the diagnosis of schistosomiasis mekongi. Acta Trop. 96 (2005) 137-141