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Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study

INTRODUCTION: Tuberculosis (TB) transmission is difficult to measure, and its drivers are not well understood. The effectiveness of infection control measures at healthcare clinics and the most appropriate intervention strategies to interrupt transmission are unclear. We propose a novel approach usi...

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Autores principales: Zürcher, Kathrin, Morrow, Carl, Riou, Julien, Ballif, Marie, Koch, Anastasia Sideris, Bertschinger, Simon, Liu, Xin, Sharma, Manuja, Middelkoop, Keren, Warner, Digby, Wood, Robin, Egger, Matthias, Fenner, Lukas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451471/
https://www.ncbi.nlm.nih.gov/pubmed/32847906
http://dx.doi.org/10.1136/bmjopen-2019-036214
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author Zürcher, Kathrin
Morrow, Carl
Riou, Julien
Ballif, Marie
Koch, Anastasia Sideris
Bertschinger, Simon
Liu, Xin
Sharma, Manuja
Middelkoop, Keren
Warner, Digby
Wood, Robin
Egger, Matthias
Fenner, Lukas
author_facet Zürcher, Kathrin
Morrow, Carl
Riou, Julien
Ballif, Marie
Koch, Anastasia Sideris
Bertschinger, Simon
Liu, Xin
Sharma, Manuja
Middelkoop, Keren
Warner, Digby
Wood, Robin
Egger, Matthias
Fenner, Lukas
author_sort Zürcher, Kathrin
collection PubMed
description INTRODUCTION: Tuberculosis (TB) transmission is difficult to measure, and its drivers are not well understood. The effectiveness of infection control measures at healthcare clinics and the most appropriate intervention strategies to interrupt transmission are unclear. We propose a novel approach using clinical, environmental and position-tracking data to study the risk of TB transmission at primary care clinics in TB and HIV high burden settings in sub-Saharan Africa. METHODS AND ANALYSIS: We describe a novel and rapid study design to assess risk factors for airborne TB transmission at primary care clinics in high-burden settings. The study protocol combines a range of different measurements. We will collect anonymous data on the number of patients, waiting times and patient movements using video sensors. Also, we will collect acoustic sound recordings to determine the frequency and intensity of coughing. Environmental data will include indoor carbon dioxide levels (CO(2) in parts per million) and relative humidity. We will also extract routinely collected clinical data from the clinic records. The number of Mycobacterium tuberculosis particles in the air will be ascertained from dried filter units using highly sensitive digital droplet PCR. We will calculate rebreathed air volume based on people density and CO(2) levels and develop a mathematical model to estimate the risk of TB transmission. The mathematical model can then be used to estimate the effect of possible interventions such as separating patient flows or improving ventilation in reducing transmission. The feasibility of our approach was recently demonstrated in a pilot study in a primary care clinic in Cape Town, South Africa. ETHICS AND DISSEMINATION: The study was approved by the University of Cape Town (HREC/REF no. 228/2019), the City of Cape Town (ID-8139) and the Ethics Committee of the Canton Bern (2019-02131), Switzerland. The results will be disseminated in international peer-reviewed journals.
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spelling pubmed-74514712020-09-02 Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study Zürcher, Kathrin Morrow, Carl Riou, Julien Ballif, Marie Koch, Anastasia Sideris Bertschinger, Simon Liu, Xin Sharma, Manuja Middelkoop, Keren Warner, Digby Wood, Robin Egger, Matthias Fenner, Lukas BMJ Open Infectious Diseases INTRODUCTION: Tuberculosis (TB) transmission is difficult to measure, and its drivers are not well understood. The effectiveness of infection control measures at healthcare clinics and the most appropriate intervention strategies to interrupt transmission are unclear. We propose a novel approach using clinical, environmental and position-tracking data to study the risk of TB transmission at primary care clinics in TB and HIV high burden settings in sub-Saharan Africa. METHODS AND ANALYSIS: We describe a novel and rapid study design to assess risk factors for airborne TB transmission at primary care clinics in high-burden settings. The study protocol combines a range of different measurements. We will collect anonymous data on the number of patients, waiting times and patient movements using video sensors. Also, we will collect acoustic sound recordings to determine the frequency and intensity of coughing. Environmental data will include indoor carbon dioxide levels (CO(2) in parts per million) and relative humidity. We will also extract routinely collected clinical data from the clinic records. The number of Mycobacterium tuberculosis particles in the air will be ascertained from dried filter units using highly sensitive digital droplet PCR. We will calculate rebreathed air volume based on people density and CO(2) levels and develop a mathematical model to estimate the risk of TB transmission. The mathematical model can then be used to estimate the effect of possible interventions such as separating patient flows or improving ventilation in reducing transmission. The feasibility of our approach was recently demonstrated in a pilot study in a primary care clinic in Cape Town, South Africa. ETHICS AND DISSEMINATION: The study was approved by the University of Cape Town (HREC/REF no. 228/2019), the City of Cape Town (ID-8139) and the Ethics Committee of the Canton Bern (2019-02131), Switzerland. The results will be disseminated in international peer-reviewed journals. BMJ Publishing Group 2020-08-26 /pmc/articles/PMC7451471/ /pubmed/32847906 http://dx.doi.org/10.1136/bmjopen-2019-036214 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ 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
Zürcher, Kathrin
Morrow, Carl
Riou, Julien
Ballif, Marie
Koch, Anastasia Sideris
Bertschinger, Simon
Liu, Xin
Sharma, Manuja
Middelkoop, Keren
Warner, Digby
Wood, Robin
Egger, Matthias
Fenner, Lukas
Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study
title Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study
title_full Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study
title_fullStr Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study
title_full_unstemmed Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study
title_short Novel approach to estimate tuberculosis transmission in primary care clinics in sub-Saharan Africa: protocol of a prospective study
title_sort novel approach to estimate tuberculosis transmission in primary care clinics in sub-saharan africa: protocol of a prospective study
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451471/
https://www.ncbi.nlm.nih.gov/pubmed/32847906
http://dx.doi.org/10.1136/bmjopen-2019-036214
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