Rapid Scaling Up of Insecticide-Treated Bed Net Coverage in Africa and Its Relationship with Development Assistance for Health: A Systematic Synthesis of Supply, Distribution, and Household Survey Data
Identifieur interne : 002459 ( Pmc/Checkpoint ); précédent : 002458; suivant : 002460Rapid Scaling Up of Insecticide-Treated Bed Net Coverage in Africa and Its Relationship with Development Assistance for Health: A Systematic Synthesis of Supply, Distribution, and Household Survey Data
Auteurs : Abraham D. Flaxman [États-Unis] ; Nancy Fullman [États-Unis] ; Mac W. Otten [Suisse] ; Manoj Menon [États-Unis] ; Richard E. Cibulskis [Suisse] ; Marie Ng [États-Unis] ; Christopher J. L. Murray [États-Unis] ; Stephen S. Lim [États-Unis]Source :
- PLoS Medicine [ 1549-1277 ] ; 2010.
Abstract
Stephen Lim and colleagues use several sources of data to estimate the changes in distribution of insecticide-treated bed nets across Africa between 2000 and 2008, and to analyze the link between development assistance and net coverage.
Url:
DOI: 10.1371/journal.pmed.1000328
PubMed: 20808957
PubMed Central: 2923089
Affiliations:
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L." last="Murray">Christopher J. L. Murray</name><affiliation wicri:level="4"><nlm:aff id="aff1"><addr-line>Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington</wicri:regionArea><placeName><region type="state">Washington (État)</region><settlement type="city">Seattle</settlement></placeName><orgName type="university">Université de Washington</orgName></affiliation></author><author><name sortKey="Lim, Stephen S" sort="Lim, Stephen S" uniqKey="Lim S" first="Stephen S." last="Lim">Stephen S. Lim</name><affiliation wicri:level="4"><nlm:aff id="aff1"><addr-line>Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington</wicri:regionArea><placeName><region type="state">Washington (État)</region><settlement type="city">Seattle</settlement></placeName><orgName type="university">Université de Washington</orgName></affiliation></author></analytic><series><title level="j">PLoS Medicine</title><idno type="ISSN">1549-1277</idno><idno type="eISSN">1549-1676</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Stephen Lim and colleagues use several sources of data to estimate the changes in distribution of insecticide-treated bed nets across Africa between 2000 and 2008, and to analyze the link between development assistance and net coverage.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Ravishankar, N" uniqKey="Ravishankar N">N Ravishankar</name></author><author><name sortKey="Gubbins, P" uniqKey="Gubbins P">P Gubbins</name></author><author><name sortKey="Cooley, Rj" uniqKey="Cooley R">RJ Cooley</name></author><author><name sortKey="Leach Kemon, K" uniqKey="Leach Kemon K">K Leach-Kemon</name></author><author><name sortKey="Michaud, Cm" uniqKey="Michaud C">CM Michaud</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Snow, Rw" uniqKey="Snow R">RW Snow</name></author><author><name sortKey="Guerra, Ca" uniqKey="Guerra C">CA Guerra</name></author><author><name sortKey="Mutheu, Jj" uniqKey="Mutheu J">JJ Mutheu</name></author><author><name sortKey="Hay, Si" uniqKey="Hay S">SI 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS Med</journal-id><journal-id journal-id-type="iso-abbrev">PLoS Med</journal-id><journal-id journal-id-type="publisher-id">PLoS</journal-id><journal-id journal-id-type="pmc">plosmed</journal-id><journal-title-group><journal-title>PLoS Medicine</journal-title></journal-title-group><issn pub-type="ppub">1549-1277</issn><issn pub-type="epub">1549-1676</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">20808957</article-id><article-id pub-id-type="pmc">2923089</article-id><article-id pub-id-type="publisher-id">10-PLME-RA-3792R2</article-id><article-id pub-id-type="doi">10.1371/journal.pmed.1000328</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline"><subject>Mathematics/Statistics</subject><subject>Public Health and Epidemiology/Global Health</subject><subject>Public Health and Epidemiology/Health Policy</subject><subject>Public Health and Epidemiology/Health Services Research and Economics</subject><subject>Public Health and Epidemiology/Infectious Diseases</subject></subj-group></article-categories><title-group><article-title>Rapid Scaling Up of Insecticide-Treated Bed Net Coverage in Africa and Its Relationship with Development Assistance for Health: A Systematic Synthesis of Supply, Distribution, and Household Survey Data</article-title><alt-title alt-title-type="running-head">Coverage of Insecticide-Treated Bed Nets</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Flaxman</surname><given-names>Abraham D.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Fullman</surname><given-names>Nancy</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Otten</surname><given-names>Mac W.</given-names><suffix>Jr</suffix></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Menon</surname><given-names>Manoj</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Cibulskis</surname><given-names>Richard E.</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ng</surname><given-names>Marie</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Murray</surname><given-names>Christopher J. L.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Lim</surname><given-names>Stephen S.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America</addr-line></aff><aff id="aff2"><label>2</label><addr-line>Surveillance, Monitoring, and Evaluation, Global Malaria Programme, World Health Organization, Geneva, Switzerland</addr-line></aff><aff id="aff3"><label>3</label><addr-line>Malaria Branch, Division of Parasitic Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Mueller</surname><given-names>Ivo</given-names></name><role>Academic Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1">Papua New Guinea Institute of Medical Research, Papua New Guinea</aff><author-notes><corresp id="cor1">* E-mail: <email>stevelim@u.washington.edu</email></corresp><fn fn-type="con"><p><ext-link ext-link-type="uri" xlink:href="http://www.icmje.org/">ICMJE</ext-link> criteria for authorship read and met: ADF NF MWOJ MM REC MN CJM SSL. Agree with the manuscript's results and conclusions: ADF NF MWOJ MM REC MN CJM SSL. Designed the experiments/the study: ADF SSL. Analyzed the data: ADF NF MWOJ REC MN. Collected data/did experiments for the study: MWOJ MM REC. Wrote the first draft of the paper: SSL. Contributed to the writing of the paper: ADF MWOJ REC CJM.</p></fn></author-notes><pub-date pub-type="collection"><month>8</month><year>2010</year></pub-date><pub-date pub-type="epub"><day>17</day><month>8</month><year>2010</year></pub-date><volume>7</volume><issue>8</issue><elocation-id>e1000328</elocation-id><history><date date-type="received"><day>19</day><month>1</month><year>2010</year></date><date date-type="accepted"><day>9</day><month>7</month><year>2010</year></date></history><permissions><copyright-statement>Flaxman et al.</copyright-statement><copyright-year>2010</copyright-year><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p></license></permissions><abstract abstract-type="toc"><p>Stephen Lim and colleagues use several sources of data to estimate the changes in distribution of insecticide-treated bed nets across Africa between 2000 and 2008, and to analyze the link between development assistance and net coverage.</p></abstract><abstract><sec><title>Background</title><p>Development assistance for health (DAH) targeted at malaria has risen exponentially over the last 10 years, with a large fraction of these resources directed toward the distribution of insecticide-treated bed nets (ITNs). Identifying countries that have been successful in scaling up ITN coverage and understanding the role of DAH is critical for making progress in countries where coverage remains low. Sparse and inconsistent sources of data have prevented robust estimates of the coverage of ITNs over time.</p></sec><sec><title>Methods and Principal Findings</title><p>We combined data from manufacturer reports of ITN deliveries to countries, National Malaria Control Program (NMCP) reports of ITNs distributed to health facilities and operational partners, and household survey data using Bayesian inference on a deterministic compartmental model of ITN distribution. For 44 countries in Africa, we calculated (1) ITN ownership coverage, defined as the proportion of households that own at least one ITN, and (2) ITN use in children under 5 coverage, defined as the proportion of children under the age of 5 years who slept under an ITN. Using regression, we examined the relationship between cumulative DAH targeted at malaria between 2000 and 2008 and the change in national-level ITN coverage over the same time period. In 1999, assuming that all ITNs are owned and used in populations at risk of malaria, mean coverage of ITN ownership and use in children under 5 among populations at risk of malaria were 2.2% and 1.5%, respectively, and were uniformly low across all 44 countries. In 2003, coverage of ITN ownership and use in children under 5 was 5.1% (95% uncertainty interval 4.6% to 5.7%) and 3.7% (2.9% to 4.9%); in 2006 it was 17.5% (16.4% to 18.8%) and 12.9% (10.8% to 15.4%); and by 2008 it was 32.8% (31.4% to 34.4%) and 26.6% (22.3% to 30.9%), respectively. In 2008, four countries had ITN ownership coverage of 80% or greater; six countries were between 60% and 80%; nine countries were between 40% and 60%; 12 countries were between 20% and 40%; and 13 countries had coverage below 20%. Excluding four outlier countries, each US$1 per capita in malaria DAH was associated with a significant increase in ITN household coverage and ITN use in children under 5 coverage of 5.3 percentage points (3.7 to 6.9) and 4.6 percentage points (2.5 to 6.7), respectively.</p></sec><sec><title>Conclusions</title><p>Rapid increases in ITN coverage have occurred in some of the poorest countries, but coverage remains low in large populations at risk. DAH targeted at malaria can lead to improvements in ITN coverage; inadequate financing may be a reason for lack of progress in some countries.</p></sec><sec><title></title><p><italic>Please see later in the article for the Editors' Summary</italic></p></sec></abstract><abstract abstract-type="editor"><title>Editors' Summary</title><sec id="s4a1a"><title>Background</title><p>Malaria is a major global public-health problem. Nearly half of the world's population is at risk of this parasitic disease, which kills about one million people (mainly children living in sub-Saharan Africa) every year. Malaria is transmitted to people through the bites of infected night-flying mosquitoes. Soon after entering the human body, the parasite begins to replicate in red blood cells, bursting out every 2–3 days and infecting more red blood cells. The parasite's presence in the bloodstream causes malaria's characteristic fever and can cause fatal organ damage. Malaria can be prevented by controlling the mosquitoes that spread the parasite and by sleeping under insecticide-treated bed nets (ITNs) to avoid mosquito bites. In trials, ITN use reduced deaths in young children by about 20%. Consequently, the widespread provision of ITNs is a mainstay of the World Health Organization's efforts to control malaria and in 2005 the World Assembly agreed to a target of providing ITNs for 80% of the people at risk of malaria by 2010.</p></sec><sec id="s4a1b"><title>Why Was This Study Done?</title><p>Development assistance for health (DAH) targeted at malaria has increased considerably over the past decade. Much of this resource has been directed toward increasing ITN coverage, but has it been used effectively? To answer this question and to track progress toward universal ITN provision, reliable estimates of ITN coverage are critical. Most attempts to quantify ITN coverage have relied on single sources of data such as manufacturers' records of ITNs supplied to individual countries, National Malaria Control Program reports on ITN distribution, or household surveys of ITN use. Because each of these data sources has weaknesses, robust estimates of ITN coverage over time cannot be calculated from a single data source. In this study, the researchers combine data from these three sources to calculate ITN ownership coverage (the proportion of households owning at least one ITN) and ITN use in children under 5 coverage (the proportion of children under the age of 5 years sleeping under an ITN) for 44 African countries between 1999 and 2008. They also investigate the relationship between changes in ITN coverage and the cumulative DAH targeted for malaria for each country over this period.</p></sec><sec id="s4a1c"><title>What Did the Researchers Do and Find?</title><p>The researchers combined the three sources of data by applying a statistical method called Bayesian inference to a “deterministic compartmental model” of ITN distribution, a flow chart that represents ITN movement into and within countries. In 1999, the researchers estimate, ITN ownership and ITN use by young children were uniformly low across the 44 countries. On average, only 2.2% of households owned ITNs and only 1.5% of young children slept under bed nets. By 2008, 32.8% of households owned ITNs and 26.6% of young children slept under ITNs but there were now large differences in ITN coverage between countries. In four countries, 80% or more of households owned an ITN but in 13 countries (including Nigeria), ITN ownership was below 20%. Finally, the researchers used a statistical technique called regression to reveal that the estimated increase in national ITN coverage between 2000 and 2008 was strongly related to the cumulative national DAH targeted for malaria (calculated by identifying all the grants and loans provided for malaria control) over the same period.</p></sec><sec id="s4a1d"><title>What Do These Findings Mean?</title><p>The accuracy of these findings depends on the assumptions included in the model of ITN distribution and the quality of the data fed into it. Nevertheless, this systematic analysis provides new insights into the progress of ITN provision in Africa and a robust way to monitor future ITN coverage. Its findings show that several countries, even some very poor countries, have managed to scale up their ITN coverage from near zero to above 60%. However, because countries such as Nigeria that have large populations at risk of malaria continue to have low ITN coverage, Africa as a whole falls far short of the target of 80% ITN coverage by 2010. Finally, the clear relationship between the expansion of DAH targeted at malaria and increased ITN coverage suggests that inadequate funding may be responsible for the lack of progress in some countries and indicates that continued external financial assistance will be required to maintain the improvements in ITN coverage that have already been achieved.</p></sec><sec id="s4a1e"><title>Additional Information</title><p>Please access these Web sites via the online version of this summary at <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.1371/journal.pmed.1000328">http://dx.doi.org/10.1371/journal.pmed.1000328</ext-link>.</p><list list-type="bullet"><list-item><p>Further information is available on the <ext-link ext-link-type="uri" xlink:href="http://www.healthmetricsandevaluation.org/">Institute for Health Metrics and Evaluation</ext-link> at the University of Washington</p></list-item><list-item><p>Information is available from the World Health Organization on <ext-link ext-link-type="uri" xlink:href="http://www.who.int/topics/malaria/en">malaria</ext-link> (in several languages); the <ext-link ext-link-type="uri" xlink:href="http://www.who.int/malaria/world_malaria_report_2009/en/index.html">2009 World Malaria Report</ext-link> provides details of the current global malaria situation</p></list-item><list-item><p>The US Centers for Disease Control and Prevention provide information on <ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/malaria">malaria</ext-link> and on <ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/malaria/malaria_worldwide/reduction/itn.html">insecticide-treated bed nets</ext-link> (in English and Spanish)</p></list-item><list-item><p>Information is available from the Roll Back Malaria Partnership on its approach to the <ext-link ext-link-type="uri" xlink:href="http://www.rollbackmalaria.org/">global control of malaria</ext-link> including fact sheets on <ext-link ext-link-type="uri" xlink:href="http://www.rollbackmalaria.org/cmc_upload/0/000/015/370/RBMInfosheet_3.htm">malaria in Africa</ext-link> and on <ext-link ext-link-type="uri" xlink:href="http://www.rollbackmalaria.org/cmc_upload/0/000/015/368/RBMInfosheet_5.htm">insecticide-treated bed nets</ext-link> (in English, French and Portuguese)</p></list-item><list-item><p>MedlinePlus provides links to additional information on <ext-link ext-link-type="uri" xlink:href="http://www.nlm.nih.gov/medlineplus/malaria.html">malaria</ext-link> (in English and Spanish)</p></list-item></list></sec></abstract><counts><page-count count="17"></page-count></counts></article-meta></front></pmc><affiliations><list><country><li>Suisse</li><li>États-Unis</li></country><region><li>Géorgie (États-Unis)</li><li>Washington (État)</li></region><settlement><li>Seattle</li></settlement><orgName><li>Université de Washington</li></orgName></list><tree><country name="États-Unis"><region name="Washington (État)"><name sortKey="Flaxman, Abraham D" sort="Flaxman, Abraham D" uniqKey="Flaxman A" first="Abraham D." last="Flaxman">Abraham D. Flaxman</name></region><name sortKey="Fullman, Nancy" sort="Fullman, Nancy" uniqKey="Fullman N" first="Nancy" last="Fullman">Nancy Fullman</name><name sortKey="Lim, Stephen S" sort="Lim, Stephen S" uniqKey="Lim S" first="Stephen S." last="Lim">Stephen S. Lim</name><name sortKey="Menon, Manoj" sort="Menon, Manoj" uniqKey="Menon M" first="Manoj" last="Menon">Manoj Menon</name><name sortKey="Murray, Christopher J L" sort="Murray, Christopher J L" uniqKey="Murray C" first="Christopher J. L." last="Murray">Christopher J. L. Murray</name><name sortKey="Ng, Marie" sort="Ng, Marie" uniqKey="Ng M" first="Marie" last="Ng">Marie Ng</name></country><country name="Suisse"><noRegion><name sortKey="Otten, Mac W" sort="Otten, Mac W" uniqKey="Otten M" first="Mac W." last="Otten">Mac W. Otten</name></noRegion><name sortKey="Cibulskis, Richard E" sort="Cibulskis, Richard E" uniqKey="Cibulskis R" first="Richard E." last="Cibulskis">Richard E. Cibulskis</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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