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Mapping the receptivity of malaria risk to plan the future of control in Somalia
OBJECTIVES: To measure the receptive risks of malaria in Somalia and compare decisions on intervention scale-up based on this map and the more widely used contemporary risk maps. DESIGN: Cross-sectional community Plasmodium falciparum parasite rate (PfPR) data for the period 2007–2010 corrected to a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4400533/ https://www.ncbi.nlm.nih.gov/pubmed/22855625 http://dx.doi.org/10.1136/bmjopen-2012-001160 |
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author | Noor, Abdisalan Mohamed Alegana, Victor Adagi Patil, Anand Prabhakar Moloney, Grainne Borle, Mohammed Yusuf, Fahmi Amran, Jamal Snow, Robert William |
author_facet | Noor, Abdisalan Mohamed Alegana, Victor Adagi Patil, Anand Prabhakar Moloney, Grainne Borle, Mohammed Yusuf, Fahmi Amran, Jamal Snow, Robert William |
author_sort | Noor, Abdisalan Mohamed |
collection | PubMed |
description | OBJECTIVES: To measure the receptive risks of malaria in Somalia and compare decisions on intervention scale-up based on this map and the more widely used contemporary risk maps. DESIGN: Cross-sectional community Plasmodium falciparum parasite rate (PfPR) data for the period 2007–2010 corrected to a standard age range of 2 to <10 years (PfPR(2–10)) and used within a Bayesian space–time geostatistical framework to predict the contemporary (2010) mean PfPR(2–10) and the maximum annual mean PfPR(2–10) (receptive) from the highest predicted PfPR(2–10) value over the study period as an estimate of receptivity. SETTING: Randomly sampled communities in Somalia. PARTICIPANTS: Randomly sampled individuals of all ages. MAIN OUTCOME MEASURE: Cartographic descriptions of malaria receptivity and contemporary risks in Somalia at the district level. RESULTS: The contemporary annual PfPR(2–10) map estimated that all districts (n=74) and population (n=8.4 million) in Somalia were under hypoendemic transmission (≤10% PfPR(2–10)). Of these, 23% of the districts, home to 13% of the population, were under transmission of <1% PfPR(2–10). About 58% of the districts and 55% of the population were in the risk class of 1% to <5% PfPR(2–10). In contrast, the receptivity map estimated 65% of the districts and 69% of the population were under mesoendemic transmission (>10%–50% PfPR(2–10)) and the rest as hypoendemic. CONCLUSION: Compared with maps of receptive risks, contemporary maps of transmission mask disparities of malaria risk necessary to prioritise and sustain future control. As malaria risk declines across Africa, efforts must be invested in measuring receptivity for efficient control planning. |
format | Online Article Text |
id | pubmed-4400533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BMJ Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44005332015-04-22 Mapping the receptivity of malaria risk to plan the future of control in Somalia Noor, Abdisalan Mohamed Alegana, Victor Adagi Patil, Anand Prabhakar Moloney, Grainne Borle, Mohammed Yusuf, Fahmi Amran, Jamal Snow, Robert William BMJ Open Epidemiology OBJECTIVES: To measure the receptive risks of malaria in Somalia and compare decisions on intervention scale-up based on this map and the more widely used contemporary risk maps. DESIGN: Cross-sectional community Plasmodium falciparum parasite rate (PfPR) data for the period 2007–2010 corrected to a standard age range of 2 to <10 years (PfPR(2–10)) and used within a Bayesian space–time geostatistical framework to predict the contemporary (2010) mean PfPR(2–10) and the maximum annual mean PfPR(2–10) (receptive) from the highest predicted PfPR(2–10) value over the study period as an estimate of receptivity. SETTING: Randomly sampled communities in Somalia. PARTICIPANTS: Randomly sampled individuals of all ages. MAIN OUTCOME MEASURE: Cartographic descriptions of malaria receptivity and contemporary risks in Somalia at the district level. RESULTS: The contemporary annual PfPR(2–10) map estimated that all districts (n=74) and population (n=8.4 million) in Somalia were under hypoendemic transmission (≤10% PfPR(2–10)). Of these, 23% of the districts, home to 13% of the population, were under transmission of <1% PfPR(2–10). About 58% of the districts and 55% of the population were in the risk class of 1% to <5% PfPR(2–10). In contrast, the receptivity map estimated 65% of the districts and 69% of the population were under mesoendemic transmission (>10%–50% PfPR(2–10)) and the rest as hypoendemic. CONCLUSION: Compared with maps of receptive risks, contemporary maps of transmission mask disparities of malaria risk necessary to prioritise and sustain future control. As malaria risk declines across Africa, efforts must be invested in measuring receptivity for efficient control planning. BMJ Group 2012-07-31 /pmc/articles/PMC4400533/ /pubmed/22855625 http://dx.doi.org/10.1136/bmjopen-2012-001160 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode. |
spellingShingle | Epidemiology Noor, Abdisalan Mohamed Alegana, Victor Adagi Patil, Anand Prabhakar Moloney, Grainne Borle, Mohammed Yusuf, Fahmi Amran, Jamal Snow, Robert William Mapping the receptivity of malaria risk to plan the future of control in Somalia |
title | Mapping the receptivity of malaria risk to plan the future of control in
Somalia |
title_full | Mapping the receptivity of malaria risk to plan the future of control in
Somalia |
title_fullStr | Mapping the receptivity of malaria risk to plan the future of control in
Somalia |
title_full_unstemmed | Mapping the receptivity of malaria risk to plan the future of control in
Somalia |
title_short | Mapping the receptivity of malaria risk to plan the future of control in
Somalia |
title_sort | mapping the receptivity of malaria risk to plan the future of control in
somalia |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4400533/ https://www.ncbi.nlm.nih.gov/pubmed/22855625 http://dx.doi.org/10.1136/bmjopen-2012-001160 |
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