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Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya
In some countries the biological targeting of universal malaria prevention may offer optimal impact on disease and significant cost-savings compared with approaches that presume universal risk. Spatially defined data on coverage of treated nets from recent national household surveys in Kenya were us...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
The American Society of Tropical Medicine and Hygiene
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2946756/ https://www.ncbi.nlm.nih.gov/pubmed/20889879 http://dx.doi.org/10.4269/ajtmh.2010.10-0331 |
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author | Noor, Abdisalan M. Alegana, Victor A. Patil, Anand P. Snow, Robert W. |
author_facet | Noor, Abdisalan M. Alegana, Victor A. Patil, Anand P. Snow, Robert W. |
author_sort | Noor, Abdisalan M. |
collection | PubMed |
description | In some countries the biological targeting of universal malaria prevention may offer optimal impact on disease and significant cost-savings compared with approaches that presume universal risk. Spatially defined data on coverage of treated nets from recent national household surveys in Kenya were used within a Bayesian geostatistical framework to predict treated net coverage nationally. When combined with the distributions of malaria risk and population an estimated 8.1 million people were not protected with treated nets in 2010 in biologically defined priority areas. After adjusting for the proportion of nets in use that were not long lasting, an estimated 5.5 to 6.3 million long-lasting treated nets would be required to achieve universal coverage in 2010 in Kenya in at-risk areas compared with 16.4 to 18.1 million nets if not restricted to areas of greatest malaria risk. In Kenya, this evidence-based approach could save the national program at least 55 million US dollars. |
format | Text |
id | pubmed-2946756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | The American Society of Tropical Medicine and Hygiene |
record_format | MEDLINE/PubMed |
spelling | pubmed-29467562010-10-06 Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya Noor, Abdisalan M. Alegana, Victor A. Patil, Anand P. Snow, Robert W. Am J Trop Med Hyg Articles In some countries the biological targeting of universal malaria prevention may offer optimal impact on disease and significant cost-savings compared with approaches that presume universal risk. Spatially defined data on coverage of treated nets from recent national household surveys in Kenya were used within a Bayesian geostatistical framework to predict treated net coverage nationally. When combined with the distributions of malaria risk and population an estimated 8.1 million people were not protected with treated nets in 2010 in biologically defined priority areas. After adjusting for the proportion of nets in use that were not long lasting, an estimated 5.5 to 6.3 million long-lasting treated nets would be required to achieve universal coverage in 2010 in Kenya in at-risk areas compared with 16.4 to 18.1 million nets if not restricted to areas of greatest malaria risk. In Kenya, this evidence-based approach could save the national program at least 55 million US dollars. The American Society of Tropical Medicine and Hygiene 2010-10-05 /pmc/articles/PMC2946756/ /pubmed/20889879 http://dx.doi.org/10.4269/ajtmh.2010.10-0331 Text en ©The American Society of Tropical Medicine and Hygiene http://creativecommons.org/licenses/by/2.5/ This is an Open Access article distributed under the terms of the American Society of Tropical Medicine and Hygiene's Re-use License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Noor, Abdisalan M. Alegana, Victor A. Patil, Anand P. Snow, Robert W. Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya |
title | Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya |
title_full | Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya |
title_fullStr | Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya |
title_full_unstemmed | Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya |
title_short | Predicting the Unmet Need for Biologically Targeted Coverage of Insecticide-Treated Nets in Kenya |
title_sort | predicting the unmet need for biologically targeted coverage of insecticide-treated nets in kenya |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2946756/ https://www.ncbi.nlm.nih.gov/pubmed/20889879 http://dx.doi.org/10.4269/ajtmh.2010.10-0331 |
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