{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,21]],"date-time":"2024-09-21T11:49:46Z","timestamp":1726919386997},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"3","license":[{"start":{"date-parts":[[1999,12,1]],"date-time":"1999-12-01T00:00:00Z","timestamp":944006400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Epidemiol. Infect."],"published-print":{"date-parts":[[1999,12]]},"abstract":"<jats:p>A mathematical model, based on a deterministic differential equation framework, has been \ndeveloped to predict the impact of community chemotherapy programmes for human \nschistosomiasis. Here, this model is validated using data collected from a long-term control \nprogramme for urinary schistosomiasis on the island of Pemba, Zanzibar, United Republic of \nTanzania, initiated in 1986 and still ongoing, in which schoolchildren were offered praziquantel \nchemotherapy every 6 months. Prevalence of infection and blood in urine were monitored in \nall the schools (total 26000 children from 60 schools) and more detailed data were collected in \nselected evaluation schools. Model predictions were run by using the initial prevalence as input. \nThe predictions were very close to the observed decreases in prevalence and in prevalence of \nblood in urine. The correspondence improved further when the data were combined, going \nfrom single school level to district, and when the entire data set was combined. The accuracy \nof the predictions suggests that this model could be used as a tool to predict the consequences \nof chemotherapy control programmes. It is currently in press as a Windows software package \nunder the name of \u2018EpiSchisto\u2019.<\/jats:p>","DOI":"10.1017\/s0950268899003167","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T13:23:42Z","timestamp":1027776222000},"page":"487-497","source":"Crossref","is-referenced-by-count":14,"title":["Planning chemotherapy based schistosomiasis control: \nvalidation of a mathematical model using data on \n<i>Schistosoma haematobium<\/i> from Pemba, Tanzania"],"prefix":"10.1017","volume":"123","author":[{"given":"M.-S.","family":"CHAN","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"MONTRESOR","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"SAVIOLI","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D. A. P.","family":"BUNDY","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[1999,12,1]]},"container-title":["Epidemiology and Infection"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0950268899003167","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T19:49:34Z","timestamp":1557431374000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0950268899003167\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,12]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1999,12]]}},"alternative-id":["S0950268899003167"],"URL":"https:\/\/doi.org\/10.1017\/s0950268899003167","relation":{},"ISSN":["0950-2688","1469-4409"],"issn-type":[{"value":"0950-2688","type":"print"},{"value":"1469-4409","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,12]]}}}