Home > Research > Publications & Outputs > Accelerating Progress Towards the 2030 Neglecte...

Links

Text available via DOI:

View graph of relations

Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions? / Vasconcelos, Andreia; Giorgi, Emanuele.
In: Clinical Infectious Diseases, Vol. 78, No. Suppl. 2, 15.05.2024, p. S83-S92.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Vasconcelos A, Giorgi E. Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions? Clinical Infectious Diseases. 2024 May 15;78(Suppl. 2):S83-S92. Epub 2024 Apr 25. doi: 10.1093/cid/ciae082

Author

Bibtex

@article{92045e3e0e424c90a65187f13c8a85ed,
title = "Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?",
abstract = "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.",
keywords = "neglected tropical diseases, mathematical models, control, elimination, policy-making",
author = "Andreia Vasconcelos and Emanuele Giorgi",
year = "2024",
month = may,
day = "15",
doi = "10.1093/cid/ciae082",
language = "English",
volume = "78",
pages = "S83--S92",
journal = "Clinical Infectious Diseases",
issn = "1058-4838",
publisher = "BioMed Central",
number = "Suppl. 2",

}

RIS

TY - JOUR

T1 - Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets

T2 - How Can Quantitative Modeling Support Programmatic Decisions?

AU - Vasconcelos, Andreia

AU - Giorgi, Emanuele

PY - 2024/5/15

Y1 - 2024/5/15

N2 - 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.

AB - 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.

KW - neglected tropical diseases

KW - mathematical models

KW - control

KW - elimination

KW - policy-making

U2 - 10.1093/cid/ciae082

DO - 10.1093/cid/ciae082

M3 - Journal article

VL - 78

SP - S83-S92

JO - Clinical Infectious Diseases

JF - Clinical Infectious Diseases

SN - 1058-4838

IS - Suppl. 2

ER -