Maps and metrics of insecticide-treated net access, use, and nets-per-capita in Africa from 2000-2020.

Autor: Bertozzi-Villa A; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia. abertozzivilla@idmod.org.; Institute for Disease Modeling, Seattle, WA, USA. abertozzivilla@idmod.org.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. abertozzivilla@idmod.org., Bever CA; Institute for Disease Modeling, Seattle, WA, USA., Koenker H; Tropical Health, Baltimore, MD, USA., Weiss DJ; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.; Curtin University, Bentley, WA, Australia., Vargas-Ruiz C; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia., Nandi AK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Gibson HS; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Harris J; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia., Battle KE; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.; Institute for Disease Modeling, Seattle, WA, USA.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Rumisha SF; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.; National Institute for Medical Research, Dar es Salaam, Tanzania., Keddie S; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia., Amratia P; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia., Arambepola R; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Cameron E; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.; Curtin University, Bentley, WA, Australia., Chestnutt EG; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Collins EL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Millar J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Mishra S; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK., Rozier J; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia., Symons T; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia., Twohig KA; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Gething PW; Malaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.; Curtin University, Bentley, WA, Australia., Bhatt S; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2021 Jun 11; Vol. 12 (1), pp. 3589. Date of Electronic Publication: 2021 Jun 11.
DOI: 10.1038/s41467-021-23707-7
Abstrakt: Insecticide-treated nets (ITNs) are one of the most widespread and impactful malaria interventions in Africa, yet a spatially-resolved time series of ITN coverage has never been published. Using data from multiple sources, we generate high-resolution maps of ITN access, use, and nets-per-capita annually from 2000 to 2020 across the 40 highest-burden African countries. Our findings support several existing hypotheses: that use is high among those with access, that nets are discarded more quickly than official policy presumes, and that effectively distributing nets grows more difficult as coverage increases. The primary driving factors behind these findings are most likely strong cultural and social messaging around the importance of net use, low physical net durability, and a mixture of inherent commodity distribution challenges and less-than-optimal net allocation policies, respectively. These results can inform both policy decisions and downstream malaria analyses.
Databáze: MEDLINE
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