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The fitting of general force-of-infection models to wildlife disease prevalence data

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The fitting of general force-of-infection models to wildlife disease prevalence data; 2006; Article; Journal; Ecology; Heisey, D. M.; Joly, D. O.; Messier, F.

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Researchers and wildlife managers increasingly find themselves in situations where they must deal with infectious wildlife diseases such as chronic wasting disease, brucellosis, tuberculosis, and West Nile virus. Managers are often charged with designing and implementing control strategies, and researchers often seek to determine factors that influence and control the disease process. All of these activities require the ability to measure some indication of a disease's foothold in a population and evaluate factors affecting that foothold. The most common type of data available to managers and researchers is apparent prevalence data. Apparent disease prevalence, the proportion of animals in a sample that are positive for the disease, [...]

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Type Scheme Key
local-index unknown 1003787
local-pk unknown 1003787
series unknown Ecology

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journalEcology
parts
typevolume
value87
typeissue
value9
languageEnglish
citationTypeArticle

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