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Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective

The emergence of antimicrobial resistance has raised great concern for public health in many lower-income countries including India. Socio-economic determinants like poverty, health expenditure and awareness accelerate this emergence by influencing individuals' attitudes and healthcare practice...

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Autores principales: Malik, Bhawna, Hasan Farooqui, Habib, Bhattacharyya, Samit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826305/
https://www.ncbi.nlm.nih.gov/pubmed/35154800
http://dx.doi.org/10.1098/rsos.211872
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author Malik, Bhawna
Hasan Farooqui, Habib
Bhattacharyya, Samit
author_facet Malik, Bhawna
Hasan Farooqui, Habib
Bhattacharyya, Samit
author_sort Malik, Bhawna
collection PubMed
description The emergence of antimicrobial resistance has raised great concern for public health in many lower-income countries including India. Socio-economic determinants like poverty, health expenditure and awareness accelerate this emergence by influencing individuals' attitudes and healthcare practices such as self-medication. This self-medication practice is highly prevalent in many countries, where antibiotics are available without prescriptions. Thus, complex dynamics of drug- resistance driven by economy, human behaviour, and disease epidemiology poses a serious threat to the community, which has been less emphasized in prior studies. Here, we formulate a game-theoretic model of human choices in self-medication integrating economic growth and disease transmission processes. We show that this adaptive behaviour emerges spontaneously in the population through a self-reinforcing process and continual feedback from the economy, resulting in the emergence of resistance as externalities of human choice under resource constraints situations. We identify that the disparity between social-optimum and individual interest in self-medication is primarily driven by the effectiveness of treatment, health awareness and public health interventions. Frequent multiple-peaks of resistant strains are also observed when individuals imitate others more readily and self-medication is more likely. Our model exemplifies that timely public health intervention for financial risk protection, and antibiotic stewardship policies can improve the epidemiological situation and prevent economic collapse.
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spelling pubmed-88263052022-02-10 Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective Malik, Bhawna Hasan Farooqui, Habib Bhattacharyya, Samit R Soc Open Sci Physics and Biophysics The emergence of antimicrobial resistance has raised great concern for public health in many lower-income countries including India. Socio-economic determinants like poverty, health expenditure and awareness accelerate this emergence by influencing individuals' attitudes and healthcare practices such as self-medication. This self-medication practice is highly prevalent in many countries, where antibiotics are available without prescriptions. Thus, complex dynamics of drug- resistance driven by economy, human behaviour, and disease epidemiology poses a serious threat to the community, which has been less emphasized in prior studies. Here, we formulate a game-theoretic model of human choices in self-medication integrating economic growth and disease transmission processes. We show that this adaptive behaviour emerges spontaneously in the population through a self-reinforcing process and continual feedback from the economy, resulting in the emergence of resistance as externalities of human choice under resource constraints situations. We identify that the disparity between social-optimum and individual interest in self-medication is primarily driven by the effectiveness of treatment, health awareness and public health interventions. Frequent multiple-peaks of resistant strains are also observed when individuals imitate others more readily and self-medication is more likely. Our model exemplifies that timely public health intervention for financial risk protection, and antibiotic stewardship policies can improve the epidemiological situation and prevent economic collapse. The Royal Society 2022-02-09 /pmc/articles/PMC8826305/ /pubmed/35154800 http://dx.doi.org/10.1098/rsos.211872 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Physics and Biophysics
Malik, Bhawna
Hasan Farooqui, Habib
Bhattacharyya, Samit
Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective
title Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective
title_full Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective
title_fullStr Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective
title_full_unstemmed Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective
title_short Disparity in socio-economic status explains the pattern of self-medication of antibiotics in India: understanding from game-theoretic perspective
title_sort disparity in socio-economic status explains the pattern of self-medication of antibiotics in india: understanding from game-theoretic perspective
topic Physics and Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826305/
https://www.ncbi.nlm.nih.gov/pubmed/35154800
http://dx.doi.org/10.1098/rsos.211872
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