How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases

Jessica Clark; Wilma A. Stolk; María Gloria Basáñez; Luc E. Coffeng; Zulma M. Cucunubá; Matthew A. Dixon; Louise Dyson; Katie Hampson; Michael Marks; Graham F. Medley; Timothy M. Pollington; Joaquin M. Prada; Kat S. Rock; Henrik Salje; Jaspreet Toor; T. Déirdre Hollingsworth

doi:10.12688/gatesopenres.13327.2

How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases

Jessica Clark
, Wilma A. Stolk
, María Gloria Basáñez
, Luc E. Coffeng
, Zulma M. Cucunubá
, Matthew A. Dixon
, Louise Dyson
, Katie Hampson
, Michael Marks
, Graham F. Medley
, Timothy M. Pollington
, Joaquin M. Prada
, Kat S. Rock
, Henrik Salje
, Jaspreet Toor
, T. Déirdre Hollingsworth

University of Oxford
University of Glasgow
Erasmus University Rotterdam
Imperial College London
Schistosomiasis Control Initiative
University of Warwick
London School of Hygiene and Tropical Medicine
Faculty of Health and Medical Sciences
University of Cambridge

Producción: Contribución a una revista › Artículo › revisión exhaustiva

11 Citas (Scopus)

Resumen

The World Health Organization recently launched its 2021-2030 roadmap, Ending the Neglect to Attain the Sustainable Development Goals , an updated call to arms to end the suffering caused by neglected tropical diseases. Modelling and quantitative analyses played a significant role in forming these latest goals. In this collection, we discuss the insights, the resulting recommendations and identified challenges of public health modelling for 13 of the target diseases: Chagas disease, dengue, gambiense human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), Taenia solium taeniasis/ cysticercosis, trachoma, visceral leishmaniasis (VL) and yaws. This piece reflects the three cross-cutting themes identified across the collection, regarding the contribution that modelling can make to timelines, programme design, drug development and clinical trials.

Idioma original	Inglés
Número de artículo	112
Publicación	Gates Open Research
Volumen	5
DOI	https://doi.org/10.12688/gatesopenres.13327.2
Estado	Publicada - 2022
Publicado de forma externa	Sí

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 3: Salud y bienestar

Acceder al documento

10.12688/gatesopenres.13327.2

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Clark, J., Stolk, W. A., Basáñez, M. G., Coffeng, L. E., Cucunubá, Z. M., Dixon, M. A., Dyson, L., Hampson, K., Marks, M., Medley, G. F., Pollington, T. M., Prada, J. M., Rock, K. S., Salje, H., Toor, J., & Hollingsworth, T. D. (2022). How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases. Gates Open Research, 5, Artículo 112. https://doi.org/10.12688/gatesopenres.13327.2

@article{96c24372375e44cd8c089077cd6f60fd,

title = "How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases",

abstract = "The World Health Organization recently launched its 2021-2030 roadmap, Ending the Neglect to Attain the Sustainable Development Goals , an updated call to arms to end the suffering caused by neglected tropical diseases. Modelling and quantitative analyses played a significant role in forming these latest goals. In this collection, we discuss the insights, the resulting recommendations and identified challenges of public health modelling for 13 of the target diseases: Chagas disease, dengue, gambiense human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), Taenia solium taeniasis/ cysticercosis, trachoma, visceral leishmaniasis (VL) and yaws. This piece reflects the three cross-cutting themes identified across the collection, regarding the contribution that modelling can make to timelines, programme design, drug development and clinical trials.",

keywords = "Cross-cutting, Elimination, Mathematical, NTD, Public Health, Statistical, Targets, Transmission",

author = "Jessica Clark and Stolk, \{Wilma A.\} and Bas{\'a}{\~n}ez, \{Mar{\'i}a Gloria\} and Coffeng, \{Luc E.\} and Cucunub{\'a}, \{Zulma M.\} and Dixon, \{Matthew A.\} and Louise Dyson and Katie Hampson and Michael Marks and Medley, \{Graham F.\} and Pollington, \{Timothy M.\} and Prada, \{Joaquin M.\} and Rock, \{Kat S.\} and Henrik Salje and Jaspreet Toor and Hollingsworth, \{T. D{\'e}irdre\}",

note = "Publisher Copyright: {\textcopyright} 2022 Clark J et al.",

year = "2022",

doi = "10.12688/gatesopenres.13327.2",

language = "English",

volume = "5",

journal = "Gates Open Research",

issn = "2572-4754",

publisher = "F1000 Research Ltd",

}

Clark, J, Stolk, WA, Basáñez, MG, Coffeng, LE, Cucunubá, ZM, Dixon, MA, Dyson, L, Hampson, K, Marks, M, Medley, GF, Pollington, TM, Prada, JM, Rock, KS, Salje, H, Toor, J & Hollingsworth, TD 2022, 'How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases', Gates Open Research, vol. 5, 112. https://doi.org/10.12688/gatesopenres.13327.2

TY - JOUR

T1 - How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases

AU - Clark, Jessica

AU - Stolk, Wilma A.

AU - Basáñez, María Gloria

AU - Coffeng, Luc E.

AU - Cucunubá, Zulma M.

AU - Dixon, Matthew A.

AU - Dyson, Louise

AU - Hampson, Katie

AU - Marks, Michael

AU - Medley, Graham F.

AU - Pollington, Timothy M.

AU - Prada, Joaquin M.

AU - Rock, Kat S.

AU - Salje, Henrik

AU - Toor, Jaspreet

AU - Hollingsworth, T. Déirdre

PY - 2022

Y1 - 2022

N2 - The World Health Organization recently launched its 2021-2030 roadmap, Ending the Neglect to Attain the Sustainable Development Goals , an updated call to arms to end the suffering caused by neglected tropical diseases. Modelling and quantitative analyses played a significant role in forming these latest goals. In this collection, we discuss the insights, the resulting recommendations and identified challenges of public health modelling for 13 of the target diseases: Chagas disease, dengue, gambiense human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), Taenia solium taeniasis/ cysticercosis, trachoma, visceral leishmaniasis (VL) and yaws. This piece reflects the three cross-cutting themes identified across the collection, regarding the contribution that modelling can make to timelines, programme design, drug development and clinical trials.

AB - The World Health Organization recently launched its 2021-2030 roadmap, Ending the Neglect to Attain the Sustainable Development Goals , an updated call to arms to end the suffering caused by neglected tropical diseases. Modelling and quantitative analyses played a significant role in forming these latest goals. In this collection, we discuss the insights, the resulting recommendations and identified challenges of public health modelling for 13 of the target diseases: Chagas disease, dengue, gambiense human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), Taenia solium taeniasis/ cysticercosis, trachoma, visceral leishmaniasis (VL) and yaws. This piece reflects the three cross-cutting themes identified across the collection, regarding the contribution that modelling can make to timelines, programme design, drug development and clinical trials.

KW - Cross-cutting

KW - Elimination

KW - Mathematical

KW - NTD

KW - Public Health

KW - Statistical

KW - Targets

KW - Transmission

UR - https://www.scopus.com/pages/publications/85124486167

U2 - 10.12688/gatesopenres.13327.2

DO - 10.12688/gatesopenres.13327.2

M3 - Article

AN - SCOPUS:85124486167

SN - 2572-4754

VL - 5

JO - Gates Open Research

JF - Gates Open Research

M1 - 112

ER -

How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases

Resumen

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto