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Start Over Author "Coffeng, P." Journal clinical infectious diseases
2 results on '"Coffeng, P."'

1. Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?

Author

Borlase, Anna, Brady, Oliver, Browning, Raiha, Chitnis, Nakul, Coffeng, Luc, Crowley, Emily, Cucunubá, Zulma, Cummings, Derek, Davis, Christopher, Davis, Emma, Dixon, Matthew, Dobson, Andrew, Dyson, Louise, French, Michael, Fronterre, Claudio, Giorgi, Emanuele, Huang, Ching-I, Jain, Saurabh, James, Ananthu, Kim, Sung, Kura, Klodeta, Lucianez, Ana, Marks, Michael, Mbabazi, Pamela, Medley, Graham, Michael, Edwin, Montresor, Antonio, Mutono, Nyamai, Mwangi, Thumbi, Rock, Kat, Saboyá-Díaz, Martha-Idalí, Sasanami, Misaki, Schwehm, Markus, Spencer, Simon, Srivathsan, Ariktha, Stawski, Robert, Stolk, Wilma, Sutherland, Samuel, Tchuenté, Louis-Albert, de Vlas, Sake, Walker, Martin, Brooker, Simon, Hollingsworth, T, Solomon, Anthony, Fall, Ibrahima, Vasconcelos, Andreia, King, Jonathan, Nunes-Alves, Cláudio, Anderson, Roy, Argaw, Daniel, Basáñez, Maria-Gloria, Bilal, Shakir, Blok, David, and Blumberg, Seth

Subjects
control, elimination, mathematical models, neglected tropical diseases, policy-making, Neglected Diseases, Humans, Tropical Medicine, COVID-19, Models, Theoretical, World Health Organization, SARS-CoV-2, Decision Making, Global Health
Abstract

Over the past decade, considerable progress has been made in the control, elimination, and eradication of neglected tropical diseases (NTDs). Despite these advances, most NTD programs have recently experienced important setbacks; for example, NTD interventions were some of the most frequently and severely impacted by service disruptions due to the coronavirus disease 2019 (COVID-19) pandemic. Mathematical modeling can help inform selection of interventions to meet the targets set out in the NTD road map 2021-2030, and such studies should prioritize questions that are relevant for decision-makers, especially those designing, implementing, and evaluating national and subnational programs. In September 2022, the World Health Organization hosted a stakeholder meeting to identify such priority modeling questions across a range of NTDs and to consider how modeling could inform local decision making. Here, we summarize the outputs of the meeting, highlight common themes in the questions being asked, and discuss how quantitative modeling can support programmatic decisions that may accelerate progress towards the 2030 targets.

Published
2024

2. Predicted Impact of COVID-19 on Neglected Tropical Disease Programs and the Opportunity for Innovation

Author

Toor, Jaspreet, Adams, Emily R, Aliee, Maryam, Amoah, Benjamin, Anderson, Roy M, Ayabina, Diepreye, Bailey, Robin, Basáñez, Maria-Gloria, Blok, David J, Blumberg, Seth, Borlase, Anna, Rivera, Rocio Caja, Castaño, María Soledad, Chitnis, Nakul, Coffeng, Luc E, Crump, Ronald E, Das, Aatreyee, Davis, Christopher N, Davis, Emma L, Deiner, Michael S, Diggle, Peter J, Fronterre, Claudio, Giardina, Federica, Giorgi, Emanuele, Graham, Matthew, Hamley, Jonathan ID, Huang, Ching-I, Kura, Klodeta, Lietman, Thomas M, Lucas, Tim CD, Malizia, Veronica, Medley, Graham F, Meeyai, Aronrag, Michael, Edwin, Porco, Travis C, Prada, Joaquin M, Rock, Kat S, Le Rutte, Epke A, Smith, Morgan E, Spencer, Simon EF, Stolk, Wilma A, Touloupou, Panayiota, Vasconcelos, Andreia, Vegvari, Carolin, de Vlas, Sake J, Walker, Martin, and Hollingsworth, T Déirdre

Subjects
Rare Diseases, Infectious Diseases, Vector-Borne Diseases, Orphan Drug, Infection, Good Health and Well Being, COVID-19, Humans, Neglected Diseases, Pandemics, SARS-CoV-2, Tropical Medicine, neglected tropical diseases, coronavirus, modeling, Biological Sciences, Medical and Health Sciences, Microbiology
Abstract

Due to the COVID-19 pandemic, many key neglected tropical disease (NTD) activities have been postponed. This hindrance comes at a time when the NTDs are progressing towards their ambitious goals for 2030. Mathematical modelling on several NTDs, namely gambiense sleeping sickness, lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminthiases (STH), trachoma, and visceral leishmaniasis, shows that the impact of this disruption will vary across the diseases. Programs face a risk of resurgence, which will be fastest in high-transmission areas. Furthermore, of the mass drug administration diseases, schistosomiasis, STH, and trachoma are likely to encounter faster resurgence. The case-finding diseases (gambiense sleeping sickness and visceral leishmaniasis) are likely to have fewer cases being detected but may face an increasing underlying rate of new infections. However, once programs are able to resume, there are ways to mitigate the impact and accelerate progress towards the 2030 goals.

Published
2021

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