Trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India

Abstract Bacterial antibiotic resistance is an important global health threat and the interfaces of antibiotic resistance between humans, animals and the environment are complex. We aimed to determine the associations and overtime trends of antibiotic resistance between humans, animals and water sou...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Joseph Mitchell, Manju Purohit, Chris P. Jewell, Jonathan M. Read, Gaetano Marrone, Vishal Diwan, Cecilia Stålsby Lundborg
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/7331094b886f4ede9f6fde2251bebed7
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:7331094b886f4ede9f6fde2251bebed7
record_format dspace
spelling oai:doaj.org-article:7331094b886f4ede9f6fde2251bebed72021-11-21T12:19:36ZTrends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India10.1038/s41598-021-01174-w2045-2322https://doaj.org/article/7331094b886f4ede9f6fde2251bebed72021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01174-whttps://doaj.org/toc/2045-2322Abstract Bacterial antibiotic resistance is an important global health threat and the interfaces of antibiotic resistance between humans, animals and the environment are complex. We aimed to determine the associations and overtime trends of antibiotic resistance between humans, animals and water sources from the same area and time and estimate attribution of the other sources to cases of human antibiotic resistance. A total of 125 children (aged 1–3 years old) had stool samples analysed for antibiotic-resistant bacteria at seven time points over two years, with simultaneous collection of samples of animal stools and water sources in a rural Indian community. Newey–West regression models were used to calculate temporal associations, the source with the most statistically significant relationships was household drinking water. This is supported by use of SourceR attribution modelling, that estimated the mean attribution of cases of antibiotic resistance in the children from animals, household drinking water and wastewater, at each time point and location, to be 12.6% (95% CI 4.4–20.9%), 12.1% (CI 3.4–20.7%) and 10.3% (CI 3.2–17.3%) respectively. This underlines the importance of the ‘one health’ concept and requires further research. Also, most of the significant trends over time were negative, suggesting a possible generalised improvement locally.Joseph MitchellManju PurohitChris P. JewellJonathan M. ReadGaetano MarroneVishal DiwanCecilia Stålsby LundborgNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Joseph Mitchell
Manju Purohit
Chris P. Jewell
Jonathan M. Read
Gaetano Marrone
Vishal Diwan
Cecilia Stålsby Lundborg
Trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India
description Abstract Bacterial antibiotic resistance is an important global health threat and the interfaces of antibiotic resistance between humans, animals and the environment are complex. We aimed to determine the associations and overtime trends of antibiotic resistance between humans, animals and water sources from the same area and time and estimate attribution of the other sources to cases of human antibiotic resistance. A total of 125 children (aged 1–3 years old) had stool samples analysed for antibiotic-resistant bacteria at seven time points over two years, with simultaneous collection of samples of animal stools and water sources in a rural Indian community. Newey–West regression models were used to calculate temporal associations, the source with the most statistically significant relationships was household drinking water. This is supported by use of SourceR attribution modelling, that estimated the mean attribution of cases of antibiotic resistance in the children from animals, household drinking water and wastewater, at each time point and location, to be 12.6% (95% CI 4.4–20.9%), 12.1% (CI 3.4–20.7%) and 10.3% (CI 3.2–17.3%) respectively. This underlines the importance of the ‘one health’ concept and requires further research. Also, most of the significant trends over time were negative, suggesting a possible generalised improvement locally.
format article
author Joseph Mitchell
Manju Purohit
Chris P. Jewell
Jonathan M. Read
Gaetano Marrone
Vishal Diwan
Cecilia Stålsby Lundborg
author_facet Joseph Mitchell
Manju Purohit
Chris P. Jewell
Jonathan M. Read
Gaetano Marrone
Vishal Diwan
Cecilia Stålsby Lundborg
author_sort Joseph Mitchell
title Trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India
title_short Trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India
title_full Trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India
title_fullStr Trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India
title_full_unstemmed Trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural India
title_sort trends, relationships and case attribution of antibiotic resistance between children and environmental sources in rural india
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/7331094b886f4ede9f6fde2251bebed7
work_keys_str_mv AT josephmitchell trendsrelationshipsandcaseattributionofantibioticresistancebetweenchildrenandenvironmentalsourcesinruralindia
AT manjupurohit trendsrelationshipsandcaseattributionofantibioticresistancebetweenchildrenandenvironmentalsourcesinruralindia
AT chrispjewell trendsrelationshipsandcaseattributionofantibioticresistancebetweenchildrenandenvironmentalsourcesinruralindia
AT jonathanmread trendsrelationshipsandcaseattributionofantibioticresistancebetweenchildrenandenvironmentalsourcesinruralindia
AT gaetanomarrone trendsrelationshipsandcaseattributionofantibioticresistancebetweenchildrenandenvironmentalsourcesinruralindia
AT vishaldiwan trendsrelationshipsandcaseattributionofantibioticresistancebetweenchildrenandenvironmentalsourcesinruralindia
AT ceciliastalsbylundborg trendsrelationshipsandcaseattributionofantibioticresistancebetweenchildrenandenvironmentalsourcesinruralindia
_version_ 1718419072316604416