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

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

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.

Original language	English
Article number	112
Journal	Gates Open Research
Volume	5
DOIs	https://doi.org/10.12688/gatesopenres.13327.2
State	Published - 2022
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cross-cutting
Elimination
Mathematical
NTD
Public Health
Statistical
Targets
Transmission

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10.12688/gatesopenres.13327.2

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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, Article 112. https://doi.org/10.12688/gatesopenres.13327.2

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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\}",

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year = "2022",

doi = "10.12688/gatesopenres.13327.2",

language = "English",

volume = "5",

journal = "Gates Open Research",

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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

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DO - 10.12688/gatesopenres.13327.2

M3 - Article

AN - SCOPUS:85124486167

SN - 2572-4754

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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

Abstract

UN SDGs

Keywords

Access to Document

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