02053nas a2200313   4500000000100000008004100001260003700042653005700079653002400136100001100160700001500171700001700186700001500203700001400218700001500232700001500247700001500262700001400277700001400291700001600305700002100321700001500342245015000357856009900507300001300606490000700619520109900626022001401725       2021                            d  bPublic Library of Science (PLoS)10aPublic Health, Environmental and Occupational Health10aInfectious Diseases1 aToor J1 aHamley JID1 aFronterrè C1 aCastaño M1 aChapman L1 aCoffeng LE1 aGiardina F1 aLietman TM1 aMichael E1 aPinsent A1 aLe Rutte EA1 aHollingsworth TD1 aHorstick O00aStrengthening data collection for neglected tropical diseases: What data are needed for models to better inform tailored intervention programmes?  uhttps://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0009351&type=printable  ae00093510 v153 a<jats:p>Locally tailored interventions for neglected tropical diseases (NTDs) are becoming increasingly important for ensuring that the World Health Organization (WHO) goals for control and elimination are reached. Mathematical models, such as those developed by the NTD Modelling Consortium, are able to offer recommendations on interventions but remain constrained by the data currently available. Data collection for NTDs needs to be strengthened as better data are required to indirectly inform transmission in an area. Addressing specific data needs will improve our modelling recommendations, enabling more accurate tailoring of interventions and assessment of their progress. In this collection, we discuss the data needs for several NTDs, specifically gambiense human African trypanosomiasis, lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminths (STH), trachoma, and visceral leishmaniasis. Similarities in the data needs for these NTDs highlight the potential for integration across these diseases and where possible, a wider spectrum of diseases.</jats:p>  a1935-2735