A Bayesian approach to estimate the age-specific prevalence of Schistosoma mansoni and implications for schistosomiasis control

International Journal for Parasitology

Volumn 37, Issue 13, 2007, Pages 1491-1500

  Raso, Giovanna ^a,b   Vounatsou, Penelope ^c   McManus, Donald P ^a   N'Goran, Eliézer K ^d,e   Utzinger, Jürg ^c  

^a QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c SWISS TROPICAL AND PUBLIC HEALTH INSTITUTE   (Switzerland)

^d UNIVERSITÉ FÉLIX HOUPHOUËT BOIGNY   (Côte d’Ivoire)

^e CENTRE SUISSE DE RECHERCHES SCIENTIFIQUES EN CÔTE D'IVOIRE   (Côte d’Ivoire)

Author keywords

Age prevalence prediction; Bayesian statistics; Immigration death model; Kato Katz technique; Schistosoma mansoni; Schistosomiasis

Indexed keywords

BAYESIAN ANALYSIS; DATA SET; DISEASE CONTROL; ENDOPARASITE; FLATWORM; IMMIGRATION; INFECTIVITY; PARASITE PREVALENCE; PARASITOLOGY;

ADOLESCENT; ADULT; AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; CHILD; DATA BASE; FEMALE; HUMAN; IMMIGRATION; INFECTION CONTROL; MALE; MAXIMUM LIKELIHOOD METHOD; PREVALENCE; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ANIMALS; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; COMMUNICABLE DISEASES; COTE D'IVOIRE; CROSS-SECTIONAL STUDIES; EGYPT; FECES; FEMALE; HUMANS; INFANT; INFANT, NEWBORN; MALE; MIDDLE AGED; MODELS, STATISTICAL; PARASITE EGG COUNT; PREVALENCE; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS;

AFRICA; EGYPT; NORTH AFRICA;

SCHISTOSOMA MANSONI;

EID: 34548685359     PISSN: 00207519     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpara.2007.05.004     Document Type: Article

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