A novel approach of malaria control using general geospatial models
| Project/Area Number |
21659106
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Parasitology (including Sanitary zoology)
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| Research Institution | Nagasaki University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥3,370,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | マラリア / 蚊 / 数理モデル / ベトナム / ラオス / バングラデシュ / ケニア / 東南アジア / アフリカ / GIS |
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| Research Abstract |
Within malaria endemic areas, small proportion of the people tend to suffer from high malaria burden. Efficiency of malaria control would be greatly improved if we can target correctly the high risk group within endemic areas. This is possible only if the target can be easily identified. The present study developed predictive models to identify the high risk group and test the models with empirical data in the malaria endemic areas.
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Report
(4 results)
Research Products
(13 results)
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[Journal Article] Glass. Malaria Prevalence2011
Author(s)
Ubydul Haque1, Toshihiko Sunahara, Masahiro Hashizume, Timothy Shields, Taro Yamamoto, Rashidul Haque1, Gregory E
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Journal Title
Risk Factors and Spatial Distribution in a Hilly Forest Area of Bangladesh PLoS ONE
Volume: 6(4)
Issue: 4
Pages: e18908-e18908
DOI
Related Report
Peer Reviewed
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