Participatory prevalence estimation: A pilot survey in Kenya
There is a need to find locally and globally relevant surveillance tools to measure disease prevalence and inform control programs. Traditional veterinary knowledge has a contested role in surveillance systems. We examined participatory epidemiology (PE) surveys for agreement between community per...
| Autores principales: | , , , , |
|---|---|
| Formato: | Ponencia |
| Lenguaje: | Inglés |
| Publicado: |
International Livestock Research Institute
2012
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/21744 |
| _version_ | 1855542818569715712 |
|---|---|
| author | Hannah, H. Grace, Delia Randolph, Thomas F. Glanville, William A. de Fèvre, Eric M. |
| author_browse | Fèvre, Eric M. Glanville, William A. de Grace, Delia Hannah, H. Randolph, Thomas F. |
| author_facet | Hannah, H. Grace, Delia Randolph, Thomas F. Glanville, William A. de Fèvre, Eric M. |
| author_sort | Hannah, H. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | There is a need to find locally and globally relevant surveillance tools to measure disease prevalence and
inform control programs. Traditional veterinary knowledge has a contested role in surveillance systems.
We examined participatory epidemiology (PE) surveys for agreement between community perceptions
of prevalence of cattle conditions compared to clinical and laboratory results. Community meetings to
understand traditional knowledge of endemic disease were convened in randomly selected communities
in Western Province, Kenya. Community perceived prevalence for common cattle diseases and five focus
conditions (anemia, helminthosis, fascioliasis, trypanosomiasis and theilieriosis) was determined using
PE tools. Within selected communities, all cattle (>1 month old) were clinically examined and blood and
stool specimens collected. Definitive diagnosis was made by clinical findings, microscopy and molecular
techniques. Agreement was determined for prevalence obtained from community perceptions compared
to laboratory and clinical analysis. To assess the ability of individual farmers to identify ill animals and
accurately diagnose disease, the perceived health status from animals on randomly selected farms was
obtained by owner interview. A clinical examination was then performed with blood and stool specimens
analyzed for a battery of other endemic diseases. Agreement between farmer assessment of health status and
diagnosis for selected conditions against results from laboratory and clinical examination was determined.
This study highlights the accuracy and limitations of traditional knowledge. The usefulness of PE for
preliminary prevalence estimation was demonstrated by the ability of non-pastoralist farmers to estimate
herd level prevalence and individual animal health status. The study shows that PE can serve to combine
local knowledge inquiry with scientific study at a cost lower than laboratory and clinical surveys. |
| format | Ponencia |
| id | CGSpace21744 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | International Livestock Research Institute |
| publisherStr | International Livestock Research Institute |
| record_format | dspace |
| spelling | CGSpace217442023-02-15T10:56:34Z Participatory prevalence estimation: A pilot survey in Kenya Hannah, H. Grace, Delia Randolph, Thomas F. Glanville, William A. de Fèvre, Eric M. animal diseases There is a need to find locally and globally relevant surveillance tools to measure disease prevalence and inform control programs. Traditional veterinary knowledge has a contested role in surveillance systems. We examined participatory epidemiology (PE) surveys for agreement between community perceptions of prevalence of cattle conditions compared to clinical and laboratory results. Community meetings to understand traditional knowledge of endemic disease were convened in randomly selected communities in Western Province, Kenya. Community perceived prevalence for common cattle diseases and five focus conditions (anemia, helminthosis, fascioliasis, trypanosomiasis and theilieriosis) was determined using PE tools. Within selected communities, all cattle (>1 month old) were clinically examined and blood and stool specimens collected. Definitive diagnosis was made by clinical findings, microscopy and molecular techniques. Agreement was determined for prevalence obtained from community perceptions compared to laboratory and clinical analysis. To assess the ability of individual farmers to identify ill animals and accurately diagnose disease, the perceived health status from animals on randomly selected farms was obtained by owner interview. A clinical examination was then performed with blood and stool specimens analyzed for a battery of other endemic diseases. Agreement between farmer assessment of health status and diagnosis for selected conditions against results from laboratory and clinical examination was determined. This study highlights the accuracy and limitations of traditional knowledge. The usefulness of PE for preliminary prevalence estimation was demonstrated by the ability of non-pastoralist farmers to estimate herd level prevalence and individual animal health status. The study shows that PE can serve to combine local knowledge inquiry with scientific study at a cost lower than laboratory and clinical surveys. 2012-08-20 2012-09-09T09:29:45Z 2012-09-09T09:29:45Z Presentation https://hdl.handle.net/10568/21744 en Open Access International Livestock Research Institute Hannah, H., Grace, D., Randolph, T., Glanville, W. De and Fèvre, E. 2012. Participatory prevalence estimation: A pilot survey in Kenya. Presented at the 13th conference of the International Society for Veterinary Epidemiology and Economics, Maastricht, the Netherlands, 20-24 August 2012. Nairobi, Kenya: ILRI. |
| spellingShingle | animal diseases Hannah, H. Grace, Delia Randolph, Thomas F. Glanville, William A. de Fèvre, Eric M. Participatory prevalence estimation: A pilot survey in Kenya |
| title | Participatory prevalence estimation: A pilot survey in Kenya |
| title_full | Participatory prevalence estimation: A pilot survey in Kenya |
| title_fullStr | Participatory prevalence estimation: A pilot survey in Kenya |
| title_full_unstemmed | Participatory prevalence estimation: A pilot survey in Kenya |
| title_short | Participatory prevalence estimation: A pilot survey in Kenya |
| title_sort | participatory prevalence estimation a pilot survey in kenya |
| topic | animal diseases |
| url | https://hdl.handle.net/10568/21744 |
| work_keys_str_mv | AT hannahh participatoryprevalenceestimationapilotsurveyinkenya AT gracedelia participatoryprevalenceestimationapilotsurveyinkenya AT randolphthomasf participatoryprevalenceestimationapilotsurveyinkenya AT glanvillewilliamade participatoryprevalenceestimationapilotsurveyinkenya AT fevreericm participatoryprevalenceestimationapilotsurveyinkenya |