{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T16:45:49Z","timestamp":1791477949484,"version":"4.3.4"},"reference-count":20,"publisher":"Cambridge University Press (CUP)","issue":"3","license":[{"start":{"date-parts":[[2009,4,6]],"date-time":"2009-04-06T00:00:00Z","timestamp":1238976000000},"content-version":"unspecified","delay-in-days":5119,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Parasitology"],"published-print":{"date-parts":[[1995,4]]},"abstract":"<jats:title>SUMMARY<\/jats:title><jats:p>Dynamic models which predict changes in the intensity of schistosome infection with host age are fitted to pre-intervention <jats:italic>Schistosoma mansoni<\/jats:italic> data from Kenya. Age-specific post-treatment-reinfection data are used to estimate the force of infection, thus enabling investigation of the rate of worm death. An empirical and statistical approach is taken to the model fitting: where possible, distributional properties and function relationships are obtained from the data rather than assumed from theory. Attempts are made to remove known sources of bias. Maximum likelihood techniques, employed to allow for error in both the pre-intervention and reinfection data, yield confidence intervals for the worm life-span (CI<jats:sub>95%<\/jats:sub> = 5\u00b77\u201310\u00b75 years) and demonstrate that the worm death rate is unlikely to vary with host age. The possibilities and limitations of fitting dynamic models to data are discussed. We conclude that a detailed, quantitative approach will be necessary if progress is to be made with the interpretation of epidemiological data and the models intended to describe them.<\/jats:p>","DOI":"10.1017\/s0031182000080896","type":"journal-article","created":{"date-parts":[[2009,6,5]],"date-time":"2009-06-05T13:49:38Z","timestamp":1244209778000},"page":"307-316","source":"Crossref","is-referenced-by-count":101,"title":["A statistical approach to schistosome population dynamics and estimation of the life-span of <i>Schistosoma mansoni<\/i> in man"],"prefix":"10.1017","volume":"110","author":[{"given":"A. J. C.","family":"Fulford","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. E.","family":"Butterworth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. H.","family":"Ouma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. F.","family":"Sturrock","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2009,4,6]]},"reference":[{"key":"S0031182000080896_ref018","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.1949.s1-29.717"},{"key":"S0031182000080896_ref019","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.1974.23.902"},{"key":"S0031182000080896_ref003","doi-asserted-by":"publisher","DOI":"10.1016\/0035-9203(73)90080-1"},{"key":"S0031182000080896_ref013","unstructured":"Holford T. R. (1973). Stochastic models in schistosomiasis and their application to epidemiological data. 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