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Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?
Vasconcelos, Andreia; King, Jonathan D; Nunes-Alves, Cláudio; Anderson, Roy; Argaw, Daniel; Basáñez, Maria-Gloria; Bilal, Shakir; Blok, David J; Blumberg, Seth; Borlase, Anna; Brady, Oliver J; Browning, Raiha; Chitnis, Nakul; Coffeng, Luc E; Crowley, Emily H; Cucunubá, Zulma M; Cummings, Derek A T; Davis, Christopher Neil; Davis, Emma Louise; Dixon, Matthew; Dobson, Andrew; Dyson, Louise; French, Michael; Fronterre, Claudio; Giorgi, Emanuele; Huang, Ching-I; Jain, Saurabh; James, Ananthu; Kim, Sung Hye; Kura, Klodeta; Lucianez, Ana; Marks, Michael; Mbabazi, Pamela Sabina; Medley, Graham F; Michael, Edwin; Montresor, Antonio; Mutono, Nyamai; Mwangi, Thumbi S; Rock, Kat S; Saboyá-Díaz, Martha-Idalí; Sasanami, Misaki; Schwehm, Markus; Spencer, Simon E F; Srivathsan, Ariktha; Stawski, Robert S; Stolk, Wilma A; Sutherland, Samuel A; Tchuenté, Louis-Albert Tchuem; de Vlas, Sake J; Walker, Martin.
Afiliación
  • Vasconcelos A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • King JD; Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Nunes-Alves C; Global Neglected Tropical Diseases Programme, World Health Organization, Geneva, Switzerland.
  • Anderson R; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Argaw D; London Centre for Neglected Tropical Disease Research, London, United Kingdom.
  • Basáñez MG; Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, St Mary's Campus, Imperial College London, London, United Kingdom.
  • Bilal S; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
  • Blok DJ; Global Neglected Tropical Diseases Programme, World Health Organization, Geneva, Switzerland.
  • Blumberg S; London Centre for Neglected Tropical Disease Research, London, United Kingdom.
  • Borlase A; Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, St Mary's Campus, Imperial College London, London, United Kingdom.
  • Brady OJ; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
  • Browning R; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
  • Chitnis N; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Coffeng LE; Francis I. Proctor Foundation, University of California, San Francisco, California, USA.
  • Crowley EH; Department of Biology, University of Oxford, Oxford, United Kingdom.
  • Cucunubá ZM; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Cummings DAT; Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Davis CN; The Department of Statistics, The University of Warwick, Coventry, United Kingdom.
  • Davis EL; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
  • Dixon M; University of Basel, Basel, Switzerland.
  • Dobson A; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Dyson L; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • French M; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Fronterre C; Departamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Universidad Pontificia Javeriana, Bogotá, Colombia.
  • Giorgi E; Department of Biology, University of Florida, Gainesville, Florida, USA.
  • Huang CI; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
  • Jain S; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • James A; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Kim SH; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Kura K; London Centre for Neglected Tropical Disease Research, London, United Kingdom.
  • Lucianez A; Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, St Mary's Campus, Imperial College London, London, United Kingdom.
  • Marks M; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
  • Mbabazi PS; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.
  • Medley GF; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Michael E; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Montresor A; Schistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, St Mary's Campus, Imperial College London, London, United Kingdom.
  • Mutono N; RTI International, Washington, D.C., USA.
  • Mwangi TS; CHICAS, Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.
  • Rock KS; CHICAS, Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.
  • Saboyá-Díaz MI; Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
  • Sasanami M; Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
  • Schwehm M; Global Neglected Tropical Diseases Programme, World Health Organization, Geneva, Switzerland.
  • Spencer SEF; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Srivathsan A; Global Neglected Tropical Diseases Programme, World Health Organization, Geneva, Switzerland.
  • Stawski RS; London Centre for Neglected Tropical Disease Research, London, United Kingdom.
  • Stolk WA; Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, St Mary's Campus, Imperial College London, London, United Kingdom.
  • Sutherland SA; MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom.
  • Tchuenté LT; Communicable Diseases Prevention, Control, and Elimination, Pan American Health Organization, Washington D.C., USA.
  • de Vlas SJ; Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Walker M; Global Neglected Tropical Diseases Programme, World Health Organization, Geneva, Switzerland.
Clin Infect Dis ; 78(Supplement_2): S83-S92, 2024 Apr 25.
Article en En | MEDLINE | ID: mdl-38662692
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medicina Tropical / Enfermedades Desatendidas / COVID-19 Límite: Humans Idioma: En Revista: Clin Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medicina Tropical / Enfermedades Desatendidas / COVID-19 Límite: Humans Idioma: En Revista: Clin Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos