Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning Article Swipe
YOU?
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· 2021
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pntd.0008824
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pntd.0008824
- https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0008824&type=printable
- OA Status
- gold
- Cited By
- 26
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3184586079
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3184586079Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pntd.0008824Digital Object Identifier
- Title
-
Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-07-28Full publication date if available
- Authors
-
Elizabeth A. Cromwell, Joshua C. P. Osborne, Thomas R. Unnasch, María‐Gloria Basáñez, Katherine Gass, Kira Barbre, Elex Hill, Kimberly B. Johnson, Katie M. Donkers, Shreya Shirude, Chris A. Schmidt, Victor Adekanmbi, Olatunji Adetokunboh, Mohsen Afarideh, Ehsan Ahmadpour, Muktar Beshir Ahmed, Temesgen Yihunie Akalu, Ziyad Al‐Aly, Fahad Alanezi, Turki M Alanzi, Vahid Alipour, Cătălina Liliana Andrei, Fereshteh Ansari, Mustafa Geleto Ansha, Davood Anvari, Seth Christopher Yaw Appiah, Jalal Arabloo, Benjamin F. Arnold, Marcel Ausloos, Martin Amogre Ayanore, Atif Amin Baig, Maciej Banach, Aleksandra Barać, Till Bärnighausen, Mohsen Bayati, Krittika Bhattacharyya, Zulfiqar A Bhutta, Sadia Bibi, Ali Bijani, Somayeh Bohlouli, Mahdi Bohluli, Oliver J. Brady, Nicola Luigi Bragazzi, Zahid A Butt, Félix Carvalho, Souranshu Chatterjee, Vijay Kumar Chattu, Soosanna Kumary Chattu, Natalie Maria Cormier, Saad M A Dahlawi, Giovanni Damiani, Farah Daoud, Aso Mohammad Darwesh, Ahmad Daryani, Kebede Deribe, Samath Dhamminda Dharmaratne, Daniel Díaz, Hoa Do, Maysaa El Sayed Zaki, Maha El Tantawi, Demelash Abewa Elemineh, Anwar Faraj, Majid Fasihi Harandi, Yousef Fatahi, Valery L. Feigin, Eduarda Fernandes, Nataliya A Foigt, Masoud Foroutan, Richard C. Franklin, Mohammed Ibrahim Mohialdeen Gubari, Davide Guido, Yuming Guo, Arvin Haj‐Mirzaian, Kanaan Hamagharib Abdullah, Samer Hamidi, Claudiu Herţeliu, Hagos Degefa Hidru, Tarig B. Higazi, Naznin Hossain, Mehdi Hosseinzadeh, Mowafa Househ, Olayinka Stephen Ilesanmi, Milena Ilić, Irena Ilić, Usman Iqbal, Seyed Sina Naghibi Irvani, Ravi Prakash Jha, Farahnaz Joukar, Jacek Jerzy Jozwiak, Zubair Kabir, Leila R Kalankesh, Rohollah Kalhor, Behzad Karami Matin, Salah Eddin Karimi, Amir Kasaeian, Taras Kavetskyy, Gbenga A Kayode, Ali Kazemi Karyani, Abraham Getachew Kelbore, Maryam KeramatiList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pntd.0008824Publisher landing page
- PDF URL
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https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0008824&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0008824&type=printableDirect OA link when available
- Concepts
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Onchocerciasis, Ivermectin, Onchocerca volvulus, Transmission (telecommunications), Geography, Mass drug administration, Statistics, Cartography, Ecology, Biology, Environmental health, Computer science, Medicine, Population, Mathematics, Immunology, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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26Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 3, 2023: 8, 2022: 6, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.regression | 49 |
| abstract_inverted_index.resolution | 67 |
| abstract_inverted_index.resources, | 266 |
| abstract_inverted_index.selection, | 55 |
| abstract_inverted_index.ultimately | 285 |
| abstract_inverted_index.continental | 24 |
| abstract_inverted_index.elimination | 7, 25, 165, 252 |
| abstract_inverted_index.ivermectin. | 21 |
| abstract_inverted_index.opportunity | 235 |
| abstract_inverted_index.prediction. | 130 |
| abstract_inverted_index.suitability | 59, 95, 135, 176, 209 |
| abstract_inverted_index.prioritising | 258 |
| abstract_inverted_index.programmatic | 270 |
| abstract_inverted_index.transmission | 167 |
| abstract_inverted_index.environmental | 58, 134, 175 |
| abstract_inverted_index.transmission, | 27, 156 |
| abstract_inverted_index.transmission. | 249 |
| abstract_inverted_index.administration | 18 |
| abstract_inverted_index.characteristic | 86 |
| abstract_inverted_index.hyperparameter | 54 |
| abstract_inverted_index.implementation | 37 |
| abstract_inverted_index.onchocerciasis | 9, 61, 100, 155, 227, 248, 251 |
| abstract_inverted_index.environmentally | 80 |
| abstract_inverted_index.implementation, | 275 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 96 |
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| sustainable_development_goals[0].display_name | Good health and well-being |
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