TY - JOUR
KW - Public Health, Environmental and Occupational Health
KW - Health Policy
KW - Immunology and Microbiology (miscellaneous)
KW - Biochemistry, Genetics and Molecular Biology (miscellaneous)
KW - Medicine (miscellaneous)
KW - Mathematical modeling
AU - Clark J
AU - Stolk WA
AU - Basáñez M
AU - Coffeng LE
AU - Cucunubá ZM
AU - Dixon MA
AU - Dyson L
AU - Hampson K
AU - Marks M
AU - Medley GF
AU - Pollington T
AU - Prada JM
AU - Rock KS
AU - Salje H
AU - Toor J
AU - Hollingsworth TD
AB - <ns3:p>The World Health Organization recently launched its 2021-2030 roadmap, <ns3:italic>Ending</ns3:italic><ns3:italic> the </ns3:italic><ns3:italic>Neglect</ns3:italic><ns3:italic> to </ns3:italic><ns3:italic>Attain</ns3:italic><ns3:italic> the </ns3:italic><ns3:italic>Sustainable Development Goals</ns3:italic><ns3:italic>,</ns3:italic> 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, <ns3:italic>gambiense</ns3:italic> human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), <ns3:italic>Taenia solium</ns3:italic> 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.</ns3:p>
BT - Gates Open Research
DO - 10.12688/gatesopenres.13327.1
LA - eng
N2 - <ns3:p>The World Health Organization recently launched its 2021-2030 roadmap, <ns3:italic>Ending</ns3:italic><ns3:italic> the </ns3:italic><ns3:italic>Neglect</ns3:italic><ns3:italic> to </ns3:italic><ns3:italic>Attain</ns3:italic><ns3:italic> the </ns3:italic><ns3:italic>Sustainable Development Goals</ns3:italic><ns3:italic>,</ns3:italic> 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, <ns3:italic>gambiense</ns3:italic> human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), <ns3:italic>Taenia solium</ns3:italic> 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.</ns3:p>
PB - F1000 Research Ltd
PY - 2021
EP - 112
T2 - Gates Open Research
TI - How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases
UR - https://gatesopenresearch.org/articles/5-112/v1/pdf?article_uuid=3957bcb2-4986-4fa1-930c-2f0157b9d02c
VL - 5
SN - 2572-4754
ER -