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Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease

Chagas disease (CD) persists as one of the neglected tropical diseases (NTDs) with a particularly large impact in the Americas. The World Health Organization (WHO) recently proposed goals for CD elimination as a public health problem to be reached by 2030 by means of achieving intradomiciliary trans...

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Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856696/
https://www.ncbi.nlm.nih.gov/pubmed/31781687
http://dx.doi.org/10.12688/gatesopenres.13069.1
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description Chagas disease (CD) persists as one of the neglected tropical diseases (NTDs) with a particularly large impact in the Americas. The World Health Organization (WHO) recently proposed goals for CD elimination as a public health problem to be reached by 2030 by means of achieving intradomiciliary transmission interruption (IDTI), blood transfusion and transplant transmission interruption, diagnostic and treatment scaling-up and prevention and control of congenital transmission. The NTD Modelling Consortium has developed mathematical models to study Trypanosoma cruzi transmission dynamics and the potential impact of control measures. Modelling insights have shown that IDTI is feasible in areas with sustained vector control programmes and no presence of native triatomine vector populations. However, IDTI in areas with native vectors it is not feasible in a sustainable manner. Combining vector control with trypanocidal treatment can reduce the timeframes necessary to reach operational thresholds for IDTI (<2% seroprevalence in children aged <5 years), but the most informative age groups for serological monitoring are yet to be identified. Measuring progress towards the 2030 goals will require availability of vector surveillance and seroprevalence data at a fine scale, and a more active surveillance system, as well as a better understanding of the risks of vector re-colonization and disease resurgence after vector control cessation. Also, achieving scaling-up in terms of access to treatment to the expected levels (75%) will require a substantial increase in screening asymptomatic populations, which is anticipated to become very costly as CD prevalence decreases. Further modelling work includes refining and extending mathematical models (including transmission dynamics and statistical frameworks) to predict transmission at a sub-national scale, and developing quantitative tools to inform IDTI certification, post-certification and re-certification protocols. Potential perverse incentives associated with operational thresholds are discussed. These modelling insights aim to inform discussions on the goals and treatment guidelines for CD.
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spelling pubmed-68566962019-11-27 Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease Gates Open Res Open Letter Chagas disease (CD) persists as one of the neglected tropical diseases (NTDs) with a particularly large impact in the Americas. The World Health Organization (WHO) recently proposed goals for CD elimination as a public health problem to be reached by 2030 by means of achieving intradomiciliary transmission interruption (IDTI), blood transfusion and transplant transmission interruption, diagnostic and treatment scaling-up and prevention and control of congenital transmission. The NTD Modelling Consortium has developed mathematical models to study Trypanosoma cruzi transmission dynamics and the potential impact of control measures. Modelling insights have shown that IDTI is feasible in areas with sustained vector control programmes and no presence of native triatomine vector populations. However, IDTI in areas with native vectors it is not feasible in a sustainable manner. Combining vector control with trypanocidal treatment can reduce the timeframes necessary to reach operational thresholds for IDTI (<2% seroprevalence in children aged <5 years), but the most informative age groups for serological monitoring are yet to be identified. Measuring progress towards the 2030 goals will require availability of vector surveillance and seroprevalence data at a fine scale, and a more active surveillance system, as well as a better understanding of the risks of vector re-colonization and disease resurgence after vector control cessation. Also, achieving scaling-up in terms of access to treatment to the expected levels (75%) will require a substantial increase in screening asymptomatic populations, which is anticipated to become very costly as CD prevalence decreases. Further modelling work includes refining and extending mathematical models (including transmission dynamics and statistical frameworks) to predict transmission at a sub-national scale, and developing quantitative tools to inform IDTI certification, post-certification and re-certification protocols. Potential perverse incentives associated with operational thresholds are discussed. These modelling insights aim to inform discussions on the goals and treatment guidelines for CD. F1000 Research Limited 2019-09-17 /pmc/articles/PMC6856696/ /pubmed/31781687 http://dx.doi.org/10.12688/gatesopenres.13069.1 Text en Copyright: © 2019 Collaborating Group on Chagas Disease Modelling http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Open Letter
Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease
title Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease
title_full Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease
title_fullStr Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease
title_full_unstemmed Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease
title_short Insights from quantitative and mathematical modelling on the proposed WHO 2030 goals for Chagas disease
title_sort insights from quantitative and mathematical modelling on the proposed who 2030 goals for chagas disease
topic Open Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856696/
https://www.ncbi.nlm.nih.gov/pubmed/31781687
http://dx.doi.org/10.12688/gatesopenres.13069.1
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