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Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach

BACKGROUND & OBJECTIVES: Coronavirus disease 2019 (COVID-19) has raised urgent questions about containment and mitigation, particularly in countries where the virus has not yet established human-to-human transmission. The objectives of this study were to find out if it was possible to prevent, o...

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Autores principales: Mandal, Sandip, Bhatnagar, Tarun, Arinaminpathy, Nimalan, Agarwal, Anup, Chowdhury, Amartya, Murhekar, Manoj, Gangakhedkar, Raman R., Sarkar, Swarup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7258758/
https://www.ncbi.nlm.nih.gov/pubmed/32362645
http://dx.doi.org/10.4103/ijmr.IJMR_504_20
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author Mandal, Sandip
Bhatnagar, Tarun
Arinaminpathy, Nimalan
Agarwal, Anup
Chowdhury, Amartya
Murhekar, Manoj
Gangakhedkar, Raman R.
Sarkar, Swarup
author_facet Mandal, Sandip
Bhatnagar, Tarun
Arinaminpathy, Nimalan
Agarwal, Anup
Chowdhury, Amartya
Murhekar, Manoj
Gangakhedkar, Raman R.
Sarkar, Swarup
author_sort Mandal, Sandip
collection PubMed
description BACKGROUND & OBJECTIVES: Coronavirus disease 2019 (COVID-19) has raised urgent questions about containment and mitigation, particularly in countries where the virus has not yet established human-to-human transmission. The objectives of this study were to find out if it was possible to prevent, or delay, the local outbreaks of COVID-19 through restrictions on travel from abroad and if the virus has already established in-country transmission, to what extent would its impact be mitigated through quarantine of symptomatic patients? METHODS: These questions were addressed in the context of India, using simple mathematical models of infectious disease transmission. While there remained important uncertainties in the natural history of COVID-19, using hypothetical epidemic curves, some key findings were illustrated that appeared insensitive to model assumptions, as well as highlighting critical data gaps. RESULTS: It was assumed that symptomatic quarantine would identify and quarantine 50 per cent of symptomatic individuals within three days of developing symptoms. In an optimistic scenario of the basic reproduction number (R(0)) being 1.5, and asymptomatic infections lacking any infectiousness, such measures would reduce the cumulative incidence by 62 per cent. In the pessimistic scenario of R(0)=4, and asymptomatic infections being half as infectious as symptomatic, this projected impact falls to two per cent. INTERPRETATION & CONCLUSIONS: Port-of-entry-based entry screening of travellers with suggestive clinical features and from COVID-19-affected countries, would achieve modest delays in the introduction of the virus into the community. Acting alone, however, such measures would be insufficient to delay the outbreak by weeks or longer. Once the virus establishes transmission within the community, quarantine of symptomatics may have a meaningful impact on disease burden. Model projections are subject to substantial uncertainty and can be further refined as more is understood about the natural history of infection of this novel virus. As a public health measure, health system and community preparedness would be critical to control any impending spread of COVID-19 in the country.
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spelling pubmed-72587582020-05-29 Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach Mandal, Sandip Bhatnagar, Tarun Arinaminpathy, Nimalan Agarwal, Anup Chowdhury, Amartya Murhekar, Manoj Gangakhedkar, Raman R. Sarkar, Swarup Indian J Med Res Original Article BACKGROUND & OBJECTIVES: Coronavirus disease 2019 (COVID-19) has raised urgent questions about containment and mitigation, particularly in countries where the virus has not yet established human-to-human transmission. The objectives of this study were to find out if it was possible to prevent, or delay, the local outbreaks of COVID-19 through restrictions on travel from abroad and if the virus has already established in-country transmission, to what extent would its impact be mitigated through quarantine of symptomatic patients? METHODS: These questions were addressed in the context of India, using simple mathematical models of infectious disease transmission. While there remained important uncertainties in the natural history of COVID-19, using hypothetical epidemic curves, some key findings were illustrated that appeared insensitive to model assumptions, as well as highlighting critical data gaps. RESULTS: It was assumed that symptomatic quarantine would identify and quarantine 50 per cent of symptomatic individuals within three days of developing symptoms. In an optimistic scenario of the basic reproduction number (R(0)) being 1.5, and asymptomatic infections lacking any infectiousness, such measures would reduce the cumulative incidence by 62 per cent. In the pessimistic scenario of R(0)=4, and asymptomatic infections being half as infectious as symptomatic, this projected impact falls to two per cent. INTERPRETATION & CONCLUSIONS: Port-of-entry-based entry screening of travellers with suggestive clinical features and from COVID-19-affected countries, would achieve modest delays in the introduction of the virus into the community. Acting alone, however, such measures would be insufficient to delay the outbreak by weeks or longer. Once the virus establishes transmission within the community, quarantine of symptomatics may have a meaningful impact on disease burden. Model projections are subject to substantial uncertainty and can be further refined as more is understood about the natural history of infection of this novel virus. As a public health measure, health system and community preparedness would be critical to control any impending spread of COVID-19 in the country. Wolters Kluwer - Medknow 2020 /pmc/articles/PMC7258758/ /pubmed/32362645 http://dx.doi.org/10.4103/ijmr.IJMR_504_20 Text en Copyright: © 2020 Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Mandal, Sandip
Bhatnagar, Tarun
Arinaminpathy, Nimalan
Agarwal, Anup
Chowdhury, Amartya
Murhekar, Manoj
Gangakhedkar, Raman R.
Sarkar, Swarup
Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
title Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
title_full Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
title_fullStr Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
title_full_unstemmed Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
title_short Prudent public health intervention strategies to control the coronavirus disease 2019 transmission in India: A mathematical model-based approach
title_sort prudent public health intervention strategies to control the coronavirus disease 2019 transmission in india: a mathematical model-based approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7258758/
https://www.ncbi.nlm.nih.gov/pubmed/32362645
http://dx.doi.org/10.4103/ijmr.IJMR_504_20
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