2021
DOI: 10.12688/gatesopenres.13327.1
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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 Afri… Show more

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Cited by 7 publications
(8 citation statements)
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“…Model parameters and assumptions are based on field data, guided by stakeholder knowledge, in turn determining model quality (9). Mathematical models have informed intervention programmes and played a vital role in informing the WHO's roadmap for NTDs 2021-2030 (19,11). Model development and the coordination of necessary data collection should be conducted in consultation with stakeholders, who are ideally placed to understand and advise on local situations, expectations of modelled outputs, and optimal methods for data collection (14).…”
Section: Pillar I: Epidemiologymentioning
confidence: 99%
See 1 more Smart Citation
“…Model parameters and assumptions are based on field data, guided by stakeholder knowledge, in turn determining model quality (9). Mathematical models have informed intervention programmes and played a vital role in informing the WHO's roadmap for NTDs 2021-2030 (19,11). Model development and the coordination of necessary data collection should be conducted in consultation with stakeholders, who are ideally placed to understand and advise on local situations, expectations of modelled outputs, and optimal methods for data collection (14).…”
Section: Pillar I: Epidemiologymentioning
confidence: 99%
“…Efforts have been largely concentrated on the more common non-zoonotic schistosomiasis. Data needs have been reviewed for various NTDs (9) and models have been successfully used to inform control strategies (10,11). Nevertheless, zoonotic schistosomes pose a unique challenge to achieving EPHP as multiple definitive host species contribute to transmission dynamics (12).…”
Section: Introductionmentioning
confidence: 99%
“…This first pillar encompasses our understanding of the disease in its geographical context, including environmental drivers, host heterogeneity and parasite interactions. These can be informed through mathematical modelling which has provided quantitative evidence to inform intervention programmes and has played a vital role in informing the WHO's roadmap (13,11). As a precursor to field trials, models ascertain long-term outcomes before implementing studies and control programmes, thus making them both more ethical and effective in the long-term.…”
Section: Pillar I: Epidemiologymentioning
confidence: 99%
“…Modelling efforts have largely concentrated on the more common non-zoonotic schistosomiasis, and have been successfully used to inform control strategies (10,11). The complexity of zoonotic schistosomiasis must be captured by these models if they are to continue to play a major role in public health policy (7).…”
Section: Introductionmentioning
confidence: 99%
“…Efforts have been largely concentrated on the more common non-zoonotic schistosomiasis. Data needs have been reviewed for various NTDs (9) and models have been successfully used to inform control strategies (10,11). Nevertheless, zoonotic schistosomes pose a unique challenge to achieving EPHP as multiple definitive host species contribute to transmission dynamics (12).…”
Section: Introductionmentioning
confidence: 99%