Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning.
Journal
PLoS neglected tropical diseases
ISSN: 1935-2735
Titre abrégé: PLoS Negl Trop Dis
Pays: United States
ID NLM: 101291488
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
received:
08
05
2020
accepted:
13
05
2021
entrez:
28
7
2021
pubmed:
29
7
2021
medline:
6
1
2022
Statut:
epublish
Résumé
Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitability concordant with locations where onchocerciasis has been previously detected. This threshold value was then used to classify IUs (more suitable or less suitable) based on the location within the IU with the largest mean prediction. Mean estimates of environmental suitability suggest large areas across West and Central Africa, as well as focal areas of East Africa, are suitable for onchocerciasis transmission, consistent with the presence of current control and elimination of transmission efforts. The ROC analysis identified a mean environmental suitability index of 0·71 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 50·2% exceed this threshold for suitability in at least one 5 × 5-km location. The formidable scale of data collection required to map onchocerciasis endemicity across the African continent presents an opportunity to use spatial data to identify areas likely to be suitable for onchocerciasis transmission. National onchocerciasis elimination programmes may wish to consider prioritising these IUs for mapping surveys as human resources, laboratory capacity, and programmatic schedules may constrain survey implementation, and possibly delaying MDA initiation in areas that would ultimately qualify.
Identifiants
pubmed: 34319976
doi: 10.1371/journal.pntd.0008824
pii: PNTD-D-20-00722
pmc: PMC8318275
doi:
Substances chimiques
Ivermectin
70288-86-7
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0008824Subventions
Organisme : Wellcome Trust
ID : 201900/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206471/Z/17/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V031112/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Déclaration de conflit d'intérêts
I have read the journal’s policy and the authors of this manuscript have the following competing interests: WM is Program Analyst in Population and Development at the United Nations Population Fund-UNFPA Country Office in Peru, institution which not necessarily endorses this study. JAS reports personal fees from Crealta/Horizon, Medisys, Fidia, UBM LLC, Trio health, Medscape, WebMD, Clinical Care options, Clearview healthcare partners, Putnam associates, Focus forward, Navigant consulting, Spherix, Practice Point communications, the National Institutes of Health, the American College of Rheumatology, Simply Speaking. JAS reports other contributions from Amarin, Viking, Moderana and Vaxart pharmaceuticals. JAS reports non-financial support from the FDA Arthritis Advisory Committee, the Steering committee of OMERACT, an international organization that develops measures for clinical trials and receives arms length funding from 12 pharmaceutical companies, the Veterans Affairs Rheumatology Field Advisory Committee, and the Editor and the Director of the UAB Cochrane Musculoskeletal Group Satellite Center on Network Meta-analysis.
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