Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000-17: a spatial and temporal modelling study.


Journal

Lancet (London, England)
ISSN: 1474-547X
Titre abrégé: Lancet
Pays: England
ID NLM: 2985213R

Informations de publication

Date de publication:
27 07 2019
Historique:
received: 10 12 2018
revised: 12 04 2019
accepted: 24 04 2019
pubmed: 24 6 2019
medline: 23 8 2019
entrez: 24 6 2019
Statut: ppublish

Résumé

Plasmodium vivax exacts a significant toll on health worldwide, yet few efforts to date have quantified the extent and temporal trends of its global distribution. Given the challenges associated with the proper diagnosis and treatment of P vivax, national malaria programmes-particularly those pursuing malaria elimination strategies-require up to date assessments of P vivax endemicity and disease impact. This study presents the first global maps of P vivax clinical burden from 2000 to 2017. In this spatial and temporal modelling study, we adjusted routine malariometric surveillance data for known biases and used socioeconomic indicators to generate time series of the clinical burden of P vivax. These data informed Bayesian geospatial models, which produced fine-scale predictions of P vivax clinical incidence and infection prevalence over time. Within sub-Saharan Africa, where routine surveillance for P vivax is not standard practice, we combined predicted surfaces of Plasmodium falciparum with country-specific ratios of P vivax to P falciparum. These results were combined with surveillance-based outputs outside of Africa to generate global maps. We present the first high-resolution maps of P vivax burden. These results are combined with those for P falciparum (published separately) to form the malaria estimates for the Global Burden of Disease 2017 study. The burden of P vivax malaria decreased by 41·6%, from 24·5 million cases (95% uncertainty interval 22·5-27·0) in 2000 to 14·3 million cases (13·7-15·0) in 2017. The Americas had a reduction of 56·8% (47·6-67·0) in total cases since 2000, while South-East Asia recorded declines of 50·5% (50·3-50·6) and the Western Pacific regions recorded declines of 51·3% (48·0-55·4). Europe achieved zero P vivax cases during the study period. Nonetheless, rates of decline have stalled in the past five years for many countries, with particular increases noted in regions affected by political and economic instability. Our study highlights important spatial and temporal patterns in the clinical burden and prevalence of P vivax. Amid substantial progress worldwide, plateauing gains and areas of increased burden signal the potential for challenges that are greater than expected on the road to malaria elimination. These results support global monitoring systems and can inform the optimisation of diagnosis and treatment where P vivax has most impact. Bill & Melinda Gates Foundation and the Wellcome Trust.

Sections du résumé

BACKGROUND
Plasmodium vivax exacts a significant toll on health worldwide, yet few efforts to date have quantified the extent and temporal trends of its global distribution. Given the challenges associated with the proper diagnosis and treatment of P vivax, national malaria programmes-particularly those pursuing malaria elimination strategies-require up to date assessments of P vivax endemicity and disease impact. This study presents the first global maps of P vivax clinical burden from 2000 to 2017.
METHODS
In this spatial and temporal modelling study, we adjusted routine malariometric surveillance data for known biases and used socioeconomic indicators to generate time series of the clinical burden of P vivax. These data informed Bayesian geospatial models, which produced fine-scale predictions of P vivax clinical incidence and infection prevalence over time. Within sub-Saharan Africa, where routine surveillance for P vivax is not standard practice, we combined predicted surfaces of Plasmodium falciparum with country-specific ratios of P vivax to P falciparum. These results were combined with surveillance-based outputs outside of Africa to generate global maps.
FINDINGS
We present the first high-resolution maps of P vivax burden. These results are combined with those for P falciparum (published separately) to form the malaria estimates for the Global Burden of Disease 2017 study. The burden of P vivax malaria decreased by 41·6%, from 24·5 million cases (95% uncertainty interval 22·5-27·0) in 2000 to 14·3 million cases (13·7-15·0) in 2017. The Americas had a reduction of 56·8% (47·6-67·0) in total cases since 2000, while South-East Asia recorded declines of 50·5% (50·3-50·6) and the Western Pacific regions recorded declines of 51·3% (48·0-55·4). Europe achieved zero P vivax cases during the study period. Nonetheless, rates of decline have stalled in the past five years for many countries, with particular increases noted in regions affected by political and economic instability.
INTERPRETATION
Our study highlights important spatial and temporal patterns in the clinical burden and prevalence of P vivax. Amid substantial progress worldwide, plateauing gains and areas of increased burden signal the potential for challenges that are greater than expected on the road to malaria elimination. These results support global monitoring systems and can inform the optimisation of diagnosis and treatment where P vivax has most impact.
FUNDING
Bill & Melinda Gates Foundation and the Wellcome Trust.

Identifiants

pubmed: 31229233
pii: S0140-6736(19)31096-7
doi: 10.1016/S0140-6736(19)31096-7
pmc: PMC6675736
mid: EMS83853
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

332-343

Subventions

Organisme : Wellcome Trust
ID : 200909
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 200909/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Katherine E Battle (KE)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Tim C D Lucas (TCD)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Michele Nguyen (M)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Rosalind E Howes (RE)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Anita K Nandi (AK)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Katherine A Twohig (KA)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Daniel A Pfeffer (DA)

Menzies School of Health Research and Charles Darwin University, Darwin, NT, Australia.

Ewan Cameron (E)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Puja C Rao (PC)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Daniel Casey (D)

Seattle & King County Public Health, Seattle, WA, USA.

Harry S Gibson (HS)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Jennifer A Rozier (JA)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Ursula Dalrymple (U)

Public Health England, Bristol, UK.

Suzanne H Keddie (SH)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Emma L Collins (EL)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Joseph R Harris (JR)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Carlos A Guerra (CA)

Medical Care Development International, Silver Spring, MD, USA.

Michael P Thorn (MP)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Donal Bisanzio (D)

Global Health Division, RTI International, Washington, DC, USA; Epidemiology and Public Health Division, School of Medicine, University of Nottingham, Nottingham, UK.

Nancy Fullman (N)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Chantal K Huynh (CK)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Xie Kulikoff (X)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Michael J Kutz (MJ)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Alan D Lopez (AD)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Ali H Mokdad (AH)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Mohsen Naghavi (M)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Grant Nguyen (G)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Katya Anne Shackelford (KA)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Theo Vos (T)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Haidong Wang (H)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Stephen S Lim (SS)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Christopher J L Murray (CJL)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Ric N Price (RN)

Menzies School of Health Research and Charles Darwin University, Darwin, NT, Australia; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

J Kevin Baird (JK)

Eijkman-Oxford Clinical Rearch Unit, Jakarta, Indonesia; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

David L Smith (DL)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Samir Bhatt (S)

Imperial College London, London, UK.

Daniel J Weiss (DJ)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Simon I Hay (SI)

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Peter W Gething (PW)

Malaria Atlas Project, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. Electronic address: peter.gething@bdi.ox.ac.uk.

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