Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017

Author:

Bhatt Samir1,Weiss Daniel J1,Mappin Bonnie1ORCID,Dalrymple Ursula1,Cameron Ewan1,Bisanzio Donal1,Smith David L123ORCID,Moyes Catherine L1ORCID,Tatem Andrew J345,Lynch Michael6,Fergus Cristin A6,Yukich Joshua7,Bennett Adam8,Eisele Thomas P7,Kolaczinski Jan9,Cibulskis Richard E6,Hay Simon I31011ORCID,Gething Peter W1

Affiliation:

1. Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom

2. Sanaria Institute of Global Health and Tropical Medicine, Rockville, United States

3. Fogarty International Center, National Institutes of Health, Bethesda, United States

4. Flowminder Foundation, Stockholm, Sweden

5. Department of Geography and the Environment, University of Southampton, Southampton, United Kingdom

6. Global Malaria Programme, World Health Organization, Geneva, Switzerland

7. Center for Applied Malaria Research and Evaluation, Department of Global Health Systems and Development, Tulane University School of Public Health and Tropical Medicine, New Orleans, United States

8. Malaria Elimination Initiative, Global Health Group, University of California, San Francisco, San Francisco, United States

9. Strategy, Investment and Impact Division, The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland

10. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom

11. Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States

Abstract

Insecticide-treated nets (ITNs) for malaria control are widespread but coverage remains inadequate. We developed a Bayesian model using data from 102 national surveys, triangulated against delivery data and distribution reports, to generate year-by-year estimates of four ITN coverage indicators. We explored the impact of two potential 'inefficiencies': uneven net distribution among households and rapid rates of net loss from households. We estimated that, in 2013, 21% (17%–26%) of ITNs were over-allocated and this has worsened over time as overall net provision has increased. We estimated that rates of ITN loss from households are more rapid than previously thought, with 50% lost after 23 (20–28) months. We predict that the current estimate of 920 million additional ITNs required to achieve universal coverage would in reality yield a lower level of coverage (77% population access). By improving efficiency, however, the 920 million ITNs could yield population access as high as 95%.

Funder

Medical Research Council

Bill and Melinda Gates Foundation

Foundation for the National Institutes of Health

Fogarty International Center

Wellcome Trust

World Health Organization

Global Fund to Fight AIDS, Tuberculosis and Malaria

Department for International Development

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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