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Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia

OBJECTIVES: Selected Zambian communities formed part of a cluster randomised trial: the Zambia and South Africa TB and AIDS Reduction study (ZAMSTAR). There was wide variability in the prevalence of Mycobacterium tuberculosis infection and tuberculosis (TB) disease across these communities. We sough...

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Autores principales: Murray, Emma J, Dodd, Peter J, Marais, Ben, Ayles, Helen, Shanaube, Kwame, Schaap, Albertus, White, Richard G, Bond, Virginia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671921/
https://www.ncbi.nlm.nih.gov/pubmed/34907038
http://dx.doi.org/10.1136/bmjopen-2020-047136
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author Murray, Emma J
Dodd, Peter J
Marais, Ben
Ayles, Helen
Shanaube, Kwame
Schaap, Albertus
White, Richard G
Bond, Virginia
author_facet Murray, Emma J
Dodd, Peter J
Marais, Ben
Ayles, Helen
Shanaube, Kwame
Schaap, Albertus
White, Richard G
Bond, Virginia
author_sort Murray, Emma J
collection PubMed
description OBJECTIVES: Selected Zambian communities formed part of a cluster randomised trial: the Zambia and South Africa TB and AIDS Reduction study (ZAMSTAR). There was wide variability in the prevalence of Mycobacterium tuberculosis infection and tuberculosis (TB) disease across these communities. We sought to clarify whether specific communities could have been more/less vulnerable to M. tuberculosis transmission as a result of sociological variety relevant to transmission efficiency. DESIGN: We conducted a mixed methods secondary analysis using existing data sets. First, we analysed qualitative data to categorise and synthesise patterns of socio-spatial engagement across communities. Second, we compared emergent sociological variables with a measure of transmission efficiency: the ratio of the annual risk of infection to TB prevalence. SETTING: ZAMSTAR communities in urban and peri-urban Zambia, spanning five provinces. PARTICIPANTS: Fifteen communities, each served by a health facility offering TB treatment to a population of at least 25 000. TB notification rates were at least 400 per 100 000 per annum and HIV seroprevalence was estimated to be high. RESULTS: Crowding, movement, livelihoods and participation in recreational activity differed across communities. Based on 12 socio-spatial indicators, communities were qualitatively classified as more/less spatially crowded and as more/less socially ‘open’ to contact with others, with implications for the presumptive risk of M. tuberculosis transmission. For example, watching video shows in poorly ventilated structures posed a presumptive risk in more socially open communities, while outdoor farming and/or fishing were particularly widespread in communities with lower transmission measures. CONCLUSIONS: A dual dynamic of ‘social permeability’ and crowding appeared relevant to disparities in M. tuberculosis transmission efficiency. To reduce transmission, certain socio-spatial aspects could be adjusted (eg, increasing ventilation on transport), while more structural aspects are less malleable (eg, reliance on public transport). We recommend integrating community level typologies with genome sequencing techniques to further explore the significance of ‘social permeability’. TRIAL REGISTRATION NUMBER: ISRCTN36729271.
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spelling pubmed-86719212021-12-28 Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia Murray, Emma J Dodd, Peter J Marais, Ben Ayles, Helen Shanaube, Kwame Schaap, Albertus White, Richard G Bond, Virginia BMJ Open Infectious Diseases OBJECTIVES: Selected Zambian communities formed part of a cluster randomised trial: the Zambia and South Africa TB and AIDS Reduction study (ZAMSTAR). There was wide variability in the prevalence of Mycobacterium tuberculosis infection and tuberculosis (TB) disease across these communities. We sought to clarify whether specific communities could have been more/less vulnerable to M. tuberculosis transmission as a result of sociological variety relevant to transmission efficiency. DESIGN: We conducted a mixed methods secondary analysis using existing data sets. First, we analysed qualitative data to categorise and synthesise patterns of socio-spatial engagement across communities. Second, we compared emergent sociological variables with a measure of transmission efficiency: the ratio of the annual risk of infection to TB prevalence. SETTING: ZAMSTAR communities in urban and peri-urban Zambia, spanning five provinces. PARTICIPANTS: Fifteen communities, each served by a health facility offering TB treatment to a population of at least 25 000. TB notification rates were at least 400 per 100 000 per annum and HIV seroprevalence was estimated to be high. RESULTS: Crowding, movement, livelihoods and participation in recreational activity differed across communities. Based on 12 socio-spatial indicators, communities were qualitatively classified as more/less spatially crowded and as more/less socially ‘open’ to contact with others, with implications for the presumptive risk of M. tuberculosis transmission. For example, watching video shows in poorly ventilated structures posed a presumptive risk in more socially open communities, while outdoor farming and/or fishing were particularly widespread in communities with lower transmission measures. CONCLUSIONS: A dual dynamic of ‘social permeability’ and crowding appeared relevant to disparities in M. tuberculosis transmission efficiency. To reduce transmission, certain socio-spatial aspects could be adjusted (eg, increasing ventilation on transport), while more structural aspects are less malleable (eg, reliance on public transport). We recommend integrating community level typologies with genome sequencing techniques to further explore the significance of ‘social permeability’. TRIAL REGISTRATION NUMBER: ISRCTN36729271. BMJ Publishing Group 2021-12-14 /pmc/articles/PMC8671921/ /pubmed/34907038 http://dx.doi.org/10.1136/bmjopen-2020-047136 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Infectious Diseases
Murray, Emma J
Dodd, Peter J
Marais, Ben
Ayles, Helen
Shanaube, Kwame
Schaap, Albertus
White, Richard G
Bond, Virginia
Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia
title Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia
title_full Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia
title_fullStr Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia
title_full_unstemmed Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia
title_short Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia
title_sort sociological variety and the transmission efficiency of mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in zambia
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671921/
https://www.ncbi.nlm.nih.gov/pubmed/34907038
http://dx.doi.org/10.1136/bmjopen-2020-047136
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