03145nas a2200841   4500000000100000008004100001260001200042653001200054653001600066653002400082653003200106653001800138100001800156700001100174700001800185700001500203700001200218700001600230700001200246700001100258700001500269700001400284700001200298700001500310700001400325700001400339700001400353700001600367700001500383700001200398700001200410700001200422700001300434700001200447700001300459700001700472700001300489700001200502700001100514700001200525700001000537700001100547700001500558700001200573700001400585700001300599700001400612700001600626700001300642700001300655700001100668700002000679700001500699700001400714700001400728700001700742700001400759700001200773700001700785700001600802700001400818700001300832700001400845700002100859700001400880700001100894245014200905856007401047300001201121490000701133520114901140022001402289       2024                            d  c04/202410aControl10aElimination10aMathematical models10aNeglected Tropical Diseases10apolicy-making1 aVasconcelos A1 aKing J1 aNunes-Alves C1 aAnderson R1 aArgaw D1 aBasáñez M1 aBilal S1 aBlok D1 aBlumberg S1 aBorlase A1 aBrady O1 aBrowning R1 aChitnis N1 aCoffeng L1 aCrowley E1 aCucunubá Z1 aCummings D1 aDavis C1 aDavis E1 aDixon M1 aDobson A1 aDyson L1 aFrench M1 aFronterrè C1 aGiorgi E1 aHuang C1 aJain S1 aJames A1 aKim S1 aKura K1 aLucianez A1 aMarks M1 aMbabazi P1 aMedley G1 aMichael E1 aMontresor A1 aMutono N1 aMwangi T1 aRock K1 aSaboyá-Díaz M1 aSasanami M1 aSchwehm M1 aSpencer S1 aSrivathsan A1 aStawski R1 aStolk W1 aSutherland S1 aTchuenté L1 ade Vlas S1 aWalker M1 aBrooker S1 aHollingsworth DT1 aSolomon A1 aFall I00aAccelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?  uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11045030/pdf/ciae082.pdf  aS83-S920 v783 a<p>Over the past decade, considerable progress has been made in the control, elimination, and eradication of neglected tropical diseases (NTDs). Despite these advances, most NTD programs have recently experienced important setbacks; for example, NTD interventions were some of the most frequently and severely impacted by service disruptions due to the coronavirus disease 2019 (COVID-19) pandemic. Mathematical modeling can help inform selection of interventions to meet the targets set out in the NTD road map 2021-2030, and such studies should prioritize questions that are relevant for decision-makers, especially those designing, implementing, and evaluating national and subnational programs. In September 2022, the World Health Organization hosted a stakeholder meeting to identify such priority modeling questions across a range of NTDs and to consider how modeling could inform local decision making. Here, we summarize the outputs of the meeting, highlight common themes in the questions being asked, and discuss how quantitative modeling can support programmatic decisions that may accelerate progress towards the 2030 targets.</p>
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