Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC)
Since the turn of the century, the global community has made great progress towards the elimination of gambiense human African trypanosomiasis (HAT). Elimination programs, primarily relying on screening and treatment campaigns, have also created a rich database of HAT epidemiology. Mathematical mode...
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| Veröffentlicht in: | PLoS neglected tropical diseases 2020-01, Vol.14 (1), p.e0007976-e0007976 |
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| creator | Castaño, María Soledad Ndeffo-Mbah, Martial L Rock, Kat S Palmer, Cody Knock, Edward Mwamba Miaka, Erick Ndung'u, Joseph M Torr, Steve Verlé, Paul Spencer, Simon E F Galvani, Alison Bever, Caitlin Keeling, Matt J Chitnis, Nakul |
| description | Since the turn of the century, the global community has made great progress towards the elimination of gambiense human African trypanosomiasis (HAT). Elimination programs, primarily relying on screening and treatment campaigns, have also created a rich database of HAT epidemiology. Mathematical models calibrated with these data can help to fill remaining gaps in our understanding of HAT transmission dynamics, including key operational research questions such as whether integrating vector control with current intervention strategies is needed to achieve HAT elimination. Here we explore, via an ensemble of models and simulation studies, how including or not disease stage data, or using more updated data sets affect model predictions of future control strategies. |
| doi_str_mv | 10.1371/journal.pntd.0007976 |
| format | Article |
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This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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| subjects | African trypanosomiasis Biology Control Data Data Management Democratic Republic of the Congo - epidemiology Disease Eradication Disease transmission Epidemiology Health surveillance Humans Infectious diseases Intervention Mathematical models Medicine and Health Sciences Models, Theoretical Operations Research Population Public health Research and Analysis Methods Transmission Tropical diseases Trypanosomiasis, African - epidemiology Trypanosomiasis, African - prevention & control Trypanosomiasis, African - transmission Vector-borne diseases |
| title | Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC) |
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