{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T15:25:32Z","timestamp":1790954732492,"version":"4.1.0"},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[1997,2,1]],"date-time":"1997-02-01T00:00:00Z","timestamp":854755200000},"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":[[1997,2]]},"abstract":"<jats:p>Variations in the sero-prevalence of antibody to brucella \n\ninfection by cow, farm and area factors were investigated for three \n\ncontrasting districts in Kenya: Samburu, an arid and pastoral \n\narea; Kiambu, a tropical highland area; and Kilifi, a typical \n\ntropical coastal area. Cattle were selected by a two-stage cluster \n\nsampling procedure and visited once between August 1991 and 1992.<\/jats:p><jats:p>Schall's algorithm, a statistical model suitable for \n\nmulti-level analysis was used. Using this model, older age, free \n\ngrazing and large herd size ([ges     ] 31) were associated with higher \n\nseroprevalence. Also, significant farm-to-farm, area-to-area and \n\ndistrict-to-district variations were estimated. The patterns of high \n\nrisk districts and areas seen were consistent with known animal \n\nhusbandry and movement risk factors, but the larger than expected \n\nfarm-to-farm variation within high risk areas and districts could not \n\nbe explained. Thus, a multi-level method provided additional \n\ninformation beyond conventional analyses of sero-prevalence data.<\/jats:p>","DOI":"10.1017\/s0950268896007005","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T13:23:42Z","timestamp":1027776222000},"page":"35-41","source":"Crossref","is-referenced-by-count":49,"title":["Variations in the prevalence of antibody to brucella infection in\n \n\ncattle by farm, area and district in Kenya"],"prefix":"10.1017","volume":"118","author":[{"given":"M.","family":"KADOHIRA","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. J.","family":"McDERMOTT","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. M.","family":"SHOUKRI","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. N.","family":"KYULE","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[1997,2,1]]},"container-title":["Epidemiology and Infection"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0950268896007005","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,12]],"date-time":"2019-05-12T19:09:48Z","timestamp":1557688188000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0950268896007005\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997,2]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1997,2]]}},"alternative-id":["S0950268896007005"],"URL":"https:\/\/doi.org\/10.1017\/s0950268896007005","relation":{},"ISSN":["0950-2688","1469-4409"],"issn-type":[{"value":"0950-2688","type":"print"},{"value":"1469-4409","type":"electronic"}],"subject":[],"published":{"date-parts":[[1997,2]]}}}