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Modular process risk models for better management of Cryptosporidium parvum - An emerging zoonotic pathogen

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Title Modular process risk models for better management of Cryptosporidium parvum - An emerging zoonotic pathogen
 
Creator Grace, Delia
Randolph, Thomas F.
Karanja, N.
Kang'ethe, Erastus K.
 
Description Cryptosporidium parvum is an emerging disease which is of particular concern because of its ability to contaminate milk, food-crops and water sources; to persist in the environment; to survive water treatment including chlorination; and to cause serious
and sometimes fatal disease in children and the immuno-compromised. Understanding
of disease epidemiology is rapidly advancing but uncertainties remain especially
concerning the relative importance of zoonotic and anthroponotic transmission. A study
is being carried out in Dagoretti in Nairobi to evaluate the contribution of urban dairying
to disease burden and some preliminary results related to the risk analysis component
are reported in this paper. The study is being carried in a population of around 1,000
urban cattle-keepers and their neighbours, with data collected at cow, farm, household
and environmental levels. This paper details the construction, analysis and interpretation
of process diagrams in order to show spatial and temporal linkages between pathogen,
reservoir host, environment and populations. We show how by incorporating and
modelling pathogen survival information, process diagrams allow greater understanding
of the risk of disease and better targeting of interventions to successfully manage
Cryptosporidium parvum in urban Kenya.
 
Date 2010-03-17T18:18:16Z
2010-03-17T18:18:16Z
2008-01
 
Type Journal Article
 
Identifier Grace, D., Randolph, T.F., Karanja, N. and Kang’ethe, E. 2008. Modular process risk models for better management of Cryptosporidium parvum - An emerging zoonotic pathogen. Bulletin of Animal Health and Production in Africa 56(1): 13-18.
https://hdl.handle.net/10568/818
 
Language en
 
Source Bulletin of Animal Health and Production in Africa