{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T16:42:55Z","timestamp":1788453775099,"version":"build-2803163510"},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2000,4,1]],"date-time":"2000-04-01T00:00:00Z","timestamp":954547200000},"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":[[2000,4]]},"abstract":"<jats:p>A mathematical model of the dynamics of measles in New Zealand was developed in 1996. The \nmodel successfully predicted an epidemic in 1997 and was instrumental in the decision to carry \nout an intensive MMR (measles\u2013mumps\u2013rubella) immunization campaign in that year. While \nthe epidemic began some months earlier than anticipated, it was rapidly brought under control, \nand its impact on the population was much reduced. In order to prevent the occurrence of \nfurther epidemics in New Zealand, an extended version of the model has since been developed \nand applied to the critical question of the optimal timing of MMR immunization.<\/jats:p>","DOI":"10.1017\/s0950268899003556","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T13:23:42Z","timestamp":1027776222000},"page":"279-287","source":"Crossref","is-referenced-by-count":65,"title":["Predicting and preventing measles epidemics in New Zealand: \napplication of a mathematical model"],"prefix":"10.1017","volume":"124","author":[{"given":"M. G.","family":"ROBERTS","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. I.","family":"TOBIAS","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2000,4,1]]},"container-title":["Epidemiology and Infection"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0950268899003556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T16:19:29Z","timestamp":1567441169000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0950268899003556\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000,4]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2000,4]]}},"alternative-id":["S0950268899003556"],"URL":"https:\/\/doi.org\/10.1017\/s0950268899003556","relation":{},"ISSN":["0950-2688","1469-4409"],"issn-type":[{"value":"0950-2688","type":"print"},{"value":"1469-4409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2000,4]]}}}