02415nas a2200397 4500000000100000008004100001260002300042653005700065653001800122653004800140653006500188653002900253653002600282100001200308700001300320700001600333700001500349700001700364700001300381700001200394700001400406700001200420700001400432700001700446700001300463700001200476700001200488700001100500700002100511245013000532856010600662300000800768490000600776520122100782022001402003 2021 d bF1000 Research Ltd10aPublic Health, Environmental and Occupational Health10aHealth Policy10aImmunology and Microbiology (miscellaneous)10aBiochemistry, Genetics and Molecular Biology (miscellaneous)10aMedicine (miscellaneous)10aMathematical modeling1 aClark J1 aStolk WA1 aBasáñez M1 aCoffeng LE1 aCucunubá ZM1 aDixon MA1 aDyson L1 aHampson K1 aMarks M1 aMedley GF1 aPollington T1 aPrada JM1 aRock KS1 aSalje H1 aToor J1 aHollingsworth TD00aHow modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases uhttps://gatesopenresearch.org/articles/5-112/v1/pdf?article_uuid=3957bcb2-4986-4fa1-930c-2f0157b9d02c a1120 v53 aThe 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. a2572-4754