03296nas a2200673   4500000000100000008004100001100002100042700001300063700001500076700001300091700001400104700001600118700001400134700001200148700001700160700001400177700001600191700001200207700001200219700001300231700001200244700001300256700001500269700001400284700001400298700001400312700001300326700001500339700001700354700001100371700001100382700001600393700001500409700001800424700001300442700001400455700001300469700001500482700001400497700001200511700001700523700001300540700001100553700001300564700001200577700001800589700001200607700001500619700001500634700001300649700001300662700003000675245011900705856008800824300000800912490000600920520168200926022001402608       2015                            d1 aHollingsworth DT1 aAdams ER1 aAnderson R1 aAtkins K1 aBartsch S1 aBasáñez M1 aBehrend M1 aBlok DJ1 aChapman LA C1 aCoffeng L1 aCourtenay O1 aCrump R1 aVlas SJ1 aDobson A1 aDyson L1 aFarkas H1 aGalvani AP1 aGambhir M1 aGurarie D1 aIrvine MA1 aJervis S1 aKeeling MJ1 aKelly-Hope L1 aKing C1 aLee BY1 aLe Rutte EA1 aLietman TM1 aNdeffo-Mbah M1 aMedley G1 aMichael E1 aPandey A1 aPeterson J1 aPinsent A1 aPorco T1 aRichardus JH1 aReimer L1 aRock K1 aSingh BK1 aStolk W1 aSwaminathan S1 aTorr SJ1 aTownsend J1 aTruscott J1 aWalker M1 aZoueva A1 aNTD Modelling Consortium 00aQuantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases.  uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674954/pdf/13071_2015_Article_1235.pdf  a6300 v83 a<p>Quantitative analysis and mathematical models are useful tools in informing strategies to control or eliminate disease. Currently, there is an urgent need to develop these tools to inform policy to achieve the 2020 goals for neglected tropical diseases (NTDs). In this paper we give an overview of a collection of novel model-based analyses which aim to address key questions on the dynamics of transmission and control of nine NTDs: Chagas disease, visceral leishmaniasis, human African trypanosomiasis, leprosy, soil-transmitted helminths, schistosomiasis, lymphatic filariasis, onchocerciasis and trachoma. Several common themes resonate throughout these analyses, including: the importance of epidemiological setting on the success of interventions; targeting groups who are at highest risk of infection or re-infection; and reaching populations who are not accessing interventions and may act as a reservoir for infection,. The results also highlight the challenge of maintaining elimination 'as a public health problem' when true elimination is not reached. The models elucidate the factors that may be contributing most to persistence of disease and discuss the requirements for eventually achieving true elimination, if that is possible. Overall this collection presents new analyses to inform current control initiatives. These papers form a base from which further development of the models and more rigorous validation against a variety of datasets can help to give more detailed advice. At the moment, the models' predictions are being considered as the world prepares for a final push towards control or elimination of neglected tropical diseases by 2020.</p>
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