Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya
This research reports a mapping of aflatoxin risk in the milk value chain in Kenya using a geographic information systems (GIS) approach. The objective was to spatially locate regions at risk by taking into account biophysical and socio-economic factors such as humidity and rainfall, dairy cattle de...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
African Journal of Food, Agriculture, Nutrition and Development
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/76503 |
| _version_ | 1855533126092062720 |
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| author | Ochungo, P. Lindahl, Johanna F. Kayano, T. Sirma, A.J. Senerwa, D.M. Kiama, T.N. Grace, Delia |
| author_browse | Grace, Delia Kayano, T. Kiama, T.N. Lindahl, Johanna F. Ochungo, P. Senerwa, D.M. Sirma, A.J. |
| author_facet | Ochungo, P. Lindahl, Johanna F. Kayano, T. Sirma, A.J. Senerwa, D.M. Kiama, T.N. Grace, Delia |
| author_sort | Ochungo, P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This research reports a mapping of aflatoxin risk in the milk value chain in Kenya using a geographic information systems (GIS) approach. The objective was to spatially locate regions at risk by taking into account biophysical and socio-economic factors such as humidity and rainfall, dairy cattle density, maize production and travel time to urban centres. This was combined with historical data of aflatoxin outbreaks obtained from literature search and geo-referenced. Median values for the datasets were then used to define the thresholds. Criteria-based mapping using Boolean overlays without weighting was implemented in the ArcGIS v10.3 platform. Areas of convergence were overlaid with regions of historical outbreaks to come up with likely locations of aflatoxin risk and target sample surveys to these areas. Higher resolution maize production and consumption data would be desirable to ensure more accurate results. The process followed in this project ensures an evidence-based and replicable methodology that can be used in other regions and with different crops. Feed and milk samples collected in the different categories identified support that this approach can be used to guide sampling and regional studies. The research also discusses the strengths and limitations of the approach. |
| format | Journal Article |
| id | CGSpace76503 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | African Journal of Food, Agriculture, Nutrition and Development |
| publisherStr | African Journal of Food, Agriculture, Nutrition and Development |
| record_format | dspace |
| spelling | CGSpace765032024-04-25T06:01:25Z Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya Ochungo, P. Lindahl, Johanna F. Kayano, T. Sirma, A.J. Senerwa, D.M. Kiama, T.N. Grace, Delia aflatoxins food safety health This research reports a mapping of aflatoxin risk in the milk value chain in Kenya using a geographic information systems (GIS) approach. The objective was to spatially locate regions at risk by taking into account biophysical and socio-economic factors such as humidity and rainfall, dairy cattle density, maize production and travel time to urban centres. This was combined with historical data of aflatoxin outbreaks obtained from literature search and geo-referenced. Median values for the datasets were then used to define the thresholds. Criteria-based mapping using Boolean overlays without weighting was implemented in the ArcGIS v10.3 platform. Areas of convergence were overlaid with regions of historical outbreaks to come up with likely locations of aflatoxin risk and target sample surveys to these areas. Higher resolution maize production and consumption data would be desirable to ensure more accurate results. The process followed in this project ensures an evidence-based and replicable methodology that can be used in other regions and with different crops. Feed and milk samples collected in the different categories identified support that this approach can be used to guide sampling and regional studies. The research also discusses the strengths and limitations of the approach. 2016-07-15 2016-08-16T08:46:20Z 2016-08-16T08:46:20Z Journal Article https://hdl.handle.net/10568/76503 en Open Access African Journal of Food, Agriculture, Nutrition and Development Ochungo, P., Lindahl, J.F., Kayano, T., Sirma, A.J., Senerwa, D.M., Kiama, T.N. and Grace, D. 2016. Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya. African Journal of Food, Agriculture, Nutrition and Development 16(3): 11066–11085. |
| spellingShingle | aflatoxins food safety health Ochungo, P. Lindahl, Johanna F. Kayano, T. Sirma, A.J. Senerwa, D.M. Kiama, T.N. Grace, Delia Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya |
| title | Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya |
| title_full | Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya |
| title_fullStr | Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya |
| title_full_unstemmed | Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya |
| title_short | Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya |
| title_sort | mapping aflatoxin risk from milk consumption using biophysical and socio economic data a case study of kenya |
| topic | aflatoxins food safety health |
| url | https://hdl.handle.net/10568/76503 |
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