Cromwell, Elizabeth A., Osborne, Joshua C.P., Unnasch, Thomas R., Basáñez, Mariagloria, Gass, Katherine M., Barbre, Kira A., Hill, Elex, Johnson, Kimberly B., Donkers, Katie M., Shirude, Shreya, Schmidt, Chris A., Adekanmbi, Victor, Adetokunboh, Olatunji O., Afarideh, Mohsen, Ahmadpour, Ehsan, Beshir Ahmed, Muktar, Yihunie Akalu, Temesgen, Al-Aly, Ziyad, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alipour, Vahid, Andrei, Catalina Liliana, Ansari, Fereshteh, Ansha, Mustafa Geleto, Anvari, Davood, Yaw Appiah, Seth Christopher, Arabloo, Jalal, Arnold, Benjamin F., Ausloos, Marcel, Ayanore, Martin Amogre, Amin Baig, Atif, Banach, Maciej, Barac, Aleksandra, Barnighausen, Till Winfried, Bayati, Mohsen, Bhattacharyya, Krittika, Bhutta, Zulfiqar A., Bibi, Sadia, Bijani, Ali, Bohlouli, Somayeh, Bohluli, Mahdi, Brady, Oliver J., Bragazzi, Nicola Luigi, Butt, Zahid A., Carvalho, Felix, Chatterjee, Souranshu, Chattu, Vijay Kumar, Chattu, Soosanna Kumary, Cormier, Natalie Maria, Dahlawi, Saad M.A., Damiani, Giovanni, Daoud, Farah, Darwesh, Aso Mohammad, Daryani, Ahmad, Deribe, Kebede, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Do, Hoa Thi, El Sayed Zak, Maysaa, El Tantawi, Maha, Elemineh, Demelash Abewa, Faraj, Anwar, Harandi, Majid Fasihi, Fatahi, Yousef, Feigin, Valery L., Fernandes, Eduarda, Foigt, Nataliya A., Foroutan, Masoud, Franklin, Richard Charles, Mohialdeen Gubari, Mohammed Ibrahim, Guido, Davide, Guo, Yuming, Haj-Mirzaian, Arvin, Abdullah, Kanaan Hamagharib, Hamidi, Samer, Herteliu, Claudiu, De Hidru, Hagos Degefa, Higazi, Tarig B., Hossain, Naznin, Hosseinzadeh, Mehdi, Househ, Mowafa, Ilesanmi, Olayinka Stephen, Ilic, Milena D., Ilic, Irena M., Iqbal, Usman, Naghibi Irvani, Seyed Sina, Jha, Ravi Prakash, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kabir, Zubair, Kalankesh, Leila R., Kalhor, Rohollah, Matin, Behzad Karami, Karimi, Salah Eddin, Kasaeian, Amir, Kavetskyy, Taras, Kayode, Gbenga A., Karyani, Ali Kazemi, Kelbore, Abraham Getachew, and Keramati, Maryam (2021) Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning. PLoS Neglected Tropical Diseases, 15 (7). e0008824.

Preview

PDF (Published Version) - Published Version Available under License Creative Commons Attribution. Download (3MB) | Preview

 

9

712

Abstract

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.

Actions (Repository Staff Only)

Item Control Page