TY - JOUR
KW - Control
KW - Elimination
KW - Mathematical models
KW - Neglected Tropical Diseases
KW - policy-making
AU - Vasconcelos A
AU - King J
AU - Nunes-Alves C
AU - Anderson R
AU - Argaw D
AU - Basáñez M
AU - Bilal S
AU - Blok D
AU - Blumberg S
AU - Borlase A
AU - Brady O
AU - Browning R
AU - Chitnis N
AU - Coffeng L
AU - Crowley E
AU - Cucunubá Z
AU - Cummings D
AU - Davis C
AU - Davis E
AU - Dixon M
AU - Dobson A
AU - Dyson L
AU - French M
AU - Fronterrè C
AU - Giorgi E
AU - Huang C
AU - Jain S
AU - James A
AU - Kim S
AU - Kura K
AU - Lucianez A
AU - Marks M
AU - Mbabazi P
AU - Medley G
AU - Michael E
AU - Montresor A
AU - Mutono N
AU - Mwangi T
AU - Rock K
AU - Saboyá-Díaz M
AU - Sasanami M
AU - Schwehm M
AU - Spencer S
AU - Srivathsan A
AU - Stawski R
AU - Stolk W
AU - Sutherland S
AU - Tchuenté L
AU - de Vlas S
AU - Walker M
AU - Brooker S
AU - Hollingsworth DT
AU - Solomon A
AU - Fall I
AB - <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>

BT - Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
C1 - <p>https://www.ncbi.nlm.nih.gov/pubmed/38662692</p>

DA - 04/2024
DO - 10.1093/cid/ciae082
IS - Supplement_2
J2 - Clin Infect Dis
LA - eng
N2 - <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>

PY - 2024
SP - S83
EP - S92
T2 - Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
TI - Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?
UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11045030/pdf/ciae082.pdf
VL - 78
SN - 1537-6591
ER -