Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis

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Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa : a geospatial modelling analysis. / Weiss, Daniel J.; Bertozzi-Villa, Amelia; Rumisha, Susan F.; Amratia, Punam; Arambepola, Rohan; Battle, Katherine E.; Cameron, Ewan; Chestnutt, Elisabeth; Gibson, Harry S.; Harris, Joseph; Keddie, Suzanne; Millar, Justin J.; Rozier, Jennifer; Symons, Tasmin L.; Vargas-Ruiz, Camilo; Hay, Simon I.; Smith, David L.; Alonso, Pedro L.; Noor, Abdisalan M.; Bhatt, Samir; Gething, Peter W.

In: The Lancet Infectious Diseases, Vol. 21, No. 1, 2021, p. 59-69.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Weiss, DJ, Bertozzi-Villa, A, Rumisha, SF, Amratia, P, Arambepola, R, Battle, KE, Cameron, E, Chestnutt, E, Gibson, HS, Harris, J, Keddie, S, Millar, JJ, Rozier, J, Symons, TL, Vargas-Ruiz, C, Hay, SI, Smith, DL, Alonso, PL, Noor, AM, Bhatt, S & Gething, PW 2021, 'Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis', The Lancet Infectious Diseases, vol. 21, no. 1, pp. 59-69. https://doi.org/10.1016/S1473-3099(20)30700-3

APA

Weiss, D. J., Bertozzi-Villa, A., Rumisha, S. F., Amratia, P., Arambepola, R., Battle, K. E., Cameron, E., Chestnutt, E., Gibson, H. S., Harris, J., Keddie, S., Millar, J. J., Rozier, J., Symons, T. L., Vargas-Ruiz, C., Hay, S. I., Smith, D. L., Alonso, P. L., Noor, A. M., ... Gething, P. W. (2021). Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis. The Lancet Infectious Diseases, 21(1), 59-69. https://doi.org/10.1016/S1473-3099(20)30700-3

Vancouver

Weiss DJ, Bertozzi-Villa A, Rumisha SF, Amratia P, Arambepola R, Battle KE et al. Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis. The Lancet Infectious Diseases. 2021;21(1):59-69. https://doi.org/10.1016/S1473-3099(20)30700-3

Author

Weiss, Daniel J. ; Bertozzi-Villa, Amelia ; Rumisha, Susan F. ; Amratia, Punam ; Arambepola, Rohan ; Battle, Katherine E. ; Cameron, Ewan ; Chestnutt, Elisabeth ; Gibson, Harry S. ; Harris, Joseph ; Keddie, Suzanne ; Millar, Justin J. ; Rozier, Jennifer ; Symons, Tasmin L. ; Vargas-Ruiz, Camilo ; Hay, Simon I. ; Smith, David L. ; Alonso, Pedro L. ; Noor, Abdisalan M. ; Bhatt, Samir ; Gething, Peter W. / Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa : a geospatial modelling analysis. In: The Lancet Infectious Diseases. 2021 ; Vol. 21, No. 1. pp. 59-69.

Bibtex

@article{0cb5e0a38b264d5da9e836404e8cd4f1,
title = "Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis",
abstract = "Background: Substantial progress has been made in reducing the burden of malaria in Africa since 2000, but those gains could be jeopardised if the COVID-19 pandemic affects the availability of key malaria control interventions. The aim of this study was to evaluate plausible effects on malaria incidence and mortality under different levels of disruption to malaria control. Methods: Using an established set of spatiotemporal Bayesian geostatistical models, we generated geospatial estimates across malaria-endemic African countries of the clinical case incidence and mortality of malaria, incorporating an updated database of parasite rate surveys, insecticide-treated net (ITN) coverage, and effective treatment rates. We established a baseline estimate for the anticipated malaria burden in Africa in the absence of COVID-19-related disruptions, and repeated the analysis for nine hypothetical scenarios in which effective treatment with an antimalarial drug and distribution of ITNs (both through routine channels and mass campaigns) were reduced to varying extents. Findings: We estimated 215·2 (95% uncertainty interval 143·7–311·6) million cases and 386·4 (307·8–497·8) thousand deaths across malaria-endemic African countries in 2020 in our baseline scenario of undisrupted intervention coverage. With greater reductions in access to effective antimalarial drug treatment, our model predicted increasing numbers of cases and deaths: 224·1 (148·7–326·8) million cases and 487·9 (385·3–634·6) thousand deaths with a 25% reduction in antimalarial drug coverage; 233·1 (153·7–342·5) million cases and 597·4 (468·0–784·4) thousand deaths with a 50% reduction; and 242·3 (158·7–358·8) million cases and 715·2 (556·4–947·9) thousand deaths with a 75% reduction. Halting planned 2020 ITN mass distribution campaigns and reducing routine ITN distributions by 25%–75% also increased malaria burden to a total of 230·5 (151·6–343·3) million cases and 411·7 (322·8–545·5) thousand deaths with a 25% reduction; 232·8 (152·3–345·9) million cases and 415·5 (324·3–549·4) thousand deaths with a 50% reduction; and 234·0 (152·9–348·4) million cases and 417·6 (325·5–553·1) thousand deaths with a 75% reduction. When ITN coverage and antimalarial drug coverage were synchronously reduced, malaria burden increased to 240·5 (156·5–358·2) million cases and 520·9 (404·1–691·9) thousand deaths with a 25% reduction; 251·0 (162·2–377·0) million cases and 640·2 (492·0–856·7) thousand deaths with a 50% reduction; and 261·6 (167·7–396·8) million cases and 768·6 (586·1–1038·7) thousand deaths with a 75% reduction. Interpretation: Under pessimistic scenarios, COVID-19-related disruption to malaria control in Africa could almost double malaria mortality in 2020, and potentially lead to even greater increases in subsequent years. To avoid a reversal of two decades of progress against malaria, averting this public health disaster must remain an integrated priority alongside the response to COVID-19. Funding: Bill and Melinda Gates Foundation; Channel 7 Telethon Trust, Western Australia.",
author = "Weiss, {Daniel J.} and Amelia Bertozzi-Villa and Rumisha, {Susan F.} and Punam Amratia and Rohan Arambepola and Battle, {Katherine E.} and Ewan Cameron and Elisabeth Chestnutt and Gibson, {Harry S.} and Joseph Harris and Suzanne Keddie and Millar, {Justin J.} and Jennifer Rozier and Symons, {Tasmin L.} and Camilo Vargas-Ruiz and Hay, {Simon I.} and Smith, {David L.} and Alonso, {Pedro L.} and Noor, {Abdisalan M.} and Samir Bhatt and Gething, {Peter W.}",
note = "Publisher Copyright: {\textcopyright} 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license",
year = "2021",
doi = "10.1016/S1473-3099(20)30700-3",
language = "English",
volume = "21",
pages = "59--69",
journal = "The Lancet Infectious Diseases",
issn = "1473-3099",
publisher = "TheLancet Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa

T2 - a geospatial modelling analysis

AU - Weiss, Daniel J.

AU - Bertozzi-Villa, Amelia

AU - Rumisha, Susan F.

AU - Amratia, Punam

AU - Arambepola, Rohan

AU - Battle, Katherine E.

AU - Cameron, Ewan

AU - Chestnutt, Elisabeth

AU - Gibson, Harry S.

AU - Harris, Joseph

AU - Keddie, Suzanne

AU - Millar, Justin J.

AU - Rozier, Jennifer

AU - Symons, Tasmin L.

AU - Vargas-Ruiz, Camilo

AU - Hay, Simon I.

AU - Smith, David L.

AU - Alonso, Pedro L.

AU - Noor, Abdisalan M.

AU - Bhatt, Samir

AU - Gething, Peter W.

N1 - Publisher Copyright: © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

PY - 2021

Y1 - 2021

N2 - Background: Substantial progress has been made in reducing the burden of malaria in Africa since 2000, but those gains could be jeopardised if the COVID-19 pandemic affects the availability of key malaria control interventions. The aim of this study was to evaluate plausible effects on malaria incidence and mortality under different levels of disruption to malaria control. Methods: Using an established set of spatiotemporal Bayesian geostatistical models, we generated geospatial estimates across malaria-endemic African countries of the clinical case incidence and mortality of malaria, incorporating an updated database of parasite rate surveys, insecticide-treated net (ITN) coverage, and effective treatment rates. We established a baseline estimate for the anticipated malaria burden in Africa in the absence of COVID-19-related disruptions, and repeated the analysis for nine hypothetical scenarios in which effective treatment with an antimalarial drug and distribution of ITNs (both through routine channels and mass campaigns) were reduced to varying extents. Findings: We estimated 215·2 (95% uncertainty interval 143·7–311·6) million cases and 386·4 (307·8–497·8) thousand deaths across malaria-endemic African countries in 2020 in our baseline scenario of undisrupted intervention coverage. With greater reductions in access to effective antimalarial drug treatment, our model predicted increasing numbers of cases and deaths: 224·1 (148·7–326·8) million cases and 487·9 (385·3–634·6) thousand deaths with a 25% reduction in antimalarial drug coverage; 233·1 (153·7–342·5) million cases and 597·4 (468·0–784·4) thousand deaths with a 50% reduction; and 242·3 (158·7–358·8) million cases and 715·2 (556·4–947·9) thousand deaths with a 75% reduction. Halting planned 2020 ITN mass distribution campaigns and reducing routine ITN distributions by 25%–75% also increased malaria burden to a total of 230·5 (151·6–343·3) million cases and 411·7 (322·8–545·5) thousand deaths with a 25% reduction; 232·8 (152·3–345·9) million cases and 415·5 (324·3–549·4) thousand deaths with a 50% reduction; and 234·0 (152·9–348·4) million cases and 417·6 (325·5–553·1) thousand deaths with a 75% reduction. When ITN coverage and antimalarial drug coverage were synchronously reduced, malaria burden increased to 240·5 (156·5–358·2) million cases and 520·9 (404·1–691·9) thousand deaths with a 25% reduction; 251·0 (162·2–377·0) million cases and 640·2 (492·0–856·7) thousand deaths with a 50% reduction; and 261·6 (167·7–396·8) million cases and 768·6 (586·1–1038·7) thousand deaths with a 75% reduction. Interpretation: Under pessimistic scenarios, COVID-19-related disruption to malaria control in Africa could almost double malaria mortality in 2020, and potentially lead to even greater increases in subsequent years. To avoid a reversal of two decades of progress against malaria, averting this public health disaster must remain an integrated priority alongside the response to COVID-19. Funding: Bill and Melinda Gates Foundation; Channel 7 Telethon Trust, Western Australia.

AB - Background: Substantial progress has been made in reducing the burden of malaria in Africa since 2000, but those gains could be jeopardised if the COVID-19 pandemic affects the availability of key malaria control interventions. The aim of this study was to evaluate plausible effects on malaria incidence and mortality under different levels of disruption to malaria control. Methods: Using an established set of spatiotemporal Bayesian geostatistical models, we generated geospatial estimates across malaria-endemic African countries of the clinical case incidence and mortality of malaria, incorporating an updated database of parasite rate surveys, insecticide-treated net (ITN) coverage, and effective treatment rates. We established a baseline estimate for the anticipated malaria burden in Africa in the absence of COVID-19-related disruptions, and repeated the analysis for nine hypothetical scenarios in which effective treatment with an antimalarial drug and distribution of ITNs (both through routine channels and mass campaigns) were reduced to varying extents. Findings: We estimated 215·2 (95% uncertainty interval 143·7–311·6) million cases and 386·4 (307·8–497·8) thousand deaths across malaria-endemic African countries in 2020 in our baseline scenario of undisrupted intervention coverage. With greater reductions in access to effective antimalarial drug treatment, our model predicted increasing numbers of cases and deaths: 224·1 (148·7–326·8) million cases and 487·9 (385·3–634·6) thousand deaths with a 25% reduction in antimalarial drug coverage; 233·1 (153·7–342·5) million cases and 597·4 (468·0–784·4) thousand deaths with a 50% reduction; and 242·3 (158·7–358·8) million cases and 715·2 (556·4–947·9) thousand deaths with a 75% reduction. Halting planned 2020 ITN mass distribution campaigns and reducing routine ITN distributions by 25%–75% also increased malaria burden to a total of 230·5 (151·6–343·3) million cases and 411·7 (322·8–545·5) thousand deaths with a 25% reduction; 232·8 (152·3–345·9) million cases and 415·5 (324·3–549·4) thousand deaths with a 50% reduction; and 234·0 (152·9–348·4) million cases and 417·6 (325·5–553·1) thousand deaths with a 75% reduction. When ITN coverage and antimalarial drug coverage were synchronously reduced, malaria burden increased to 240·5 (156·5–358·2) million cases and 520·9 (404·1–691·9) thousand deaths with a 25% reduction; 251·0 (162·2–377·0) million cases and 640·2 (492·0–856·7) thousand deaths with a 50% reduction; and 261·6 (167·7–396·8) million cases and 768·6 (586·1–1038·7) thousand deaths with a 75% reduction. Interpretation: Under pessimistic scenarios, COVID-19-related disruption to malaria control in Africa could almost double malaria mortality in 2020, and potentially lead to even greater increases in subsequent years. To avoid a reversal of two decades of progress against malaria, averting this public health disaster must remain an integrated priority alongside the response to COVID-19. Funding: Bill and Melinda Gates Foundation; Channel 7 Telethon Trust, Western Australia.

U2 - 10.1016/S1473-3099(20)30700-3

DO - 10.1016/S1473-3099(20)30700-3

M3 - Journal article

C2 - 32971006

AN - SCOPUS:85092129502

VL - 21

SP - 59

EP - 69

JO - The Lancet Infectious Diseases

JF - The Lancet Infectious Diseases

SN - 1473-3099

IS - 1

ER -

ID: 290663671