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      Estimating the contribution of subclinical tuberculosis disease to transmission: An individual patient data analysis from prevalence surveys

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          Abstract

          Background:

          Individuals with bacteriologically confirmed pulmonary tuberculosis (TB) disease who do not report symptoms (subclinical TB) represent around half of all prevalent cases of TB, yet their contribution to Mycobacterium tuberculosis ( Mtb) transmission is unknown, especially compared to individuals who report symptoms at the time of diagnosis (clinical TB). Relative infectiousness can be approximated by cumulative infections in household contacts, but such data are rare.

          Methods:

          We reviewed the literature to identify studies where surveys of Mtb infection were linked to population surveys of TB disease. We collated individual-level data on representative populations for analysis and used literature on the relative durations of subclinical and clinical TB to estimate relative infectiousness through a cumulative hazard model, accounting for sputum-smear status. Relative prevalence of subclinical and clinical disease in high-burden settings was used to estimate the contribution of subclinical TB to global Mtb transmission.

          Results:

          We collated data on 414 index cases and 789 household contacts from three prevalence surveys (Bangladesh, the Philippines, and Viet Nam) and one case-finding trial in Viet Nam. The odds ratio for infection in a household with a clinical versus subclinical index case (irrespective of sputum smear status) was 1.2 (0.6–2.3, 95% confidence interval). Adjusting for duration of disease, we found a per-unit-time infectiousness of subclinical TB relative to clinical TB of 1.93 (0.62–6.18, 95% prediction interval [PrI]). Fourteen countries across Asia and Africa provided data on relative prevalence of subclinical and clinical TB, suggesting an estimated 68% (27–92%, 95% PrI) of global transmission is from subclinical TB.

          Conclusions:

          Our results suggest that subclinical TB contributes substantially to transmission and needs to be diagnosed and treated for effective progress towards TB elimination.

          Funding:

          JCE, KCH, ASR, NS, and RH have received funding from the European Research Council (ERC) under the Horizon 2020 research and innovation programme (ERC Starting Grant No. 757699) KCH is also supported by UK FCDO (Leaving no-one behind: transforming gendered pathways to health for TB). This research has been partially funded by UK aid from the UK government (to KCH); however, the views expressed do not necessarily reflect the UK government’s official policies. PJD was supported by a fellowship from the UK Medical Research Council (MR/P022081/1); this UK-funded award is part of the EDCTP2 programme supported by the European Union. RGW is funded by the Wellcome Trust (218261/Z/19/Z), NIH (1R01AI147321-01), EDTCP (RIA208D-2505B), UK MRC (CCF17-7779 via SET Bloomsbury), ESRC (ES/P008011/1), BMGF (OPP1084276, OPP1135288 and INV-001754), and the WHO (2020/985800-0).

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          Most cited references76

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          SARS-CoV-2 Transmission From People Without COVID-19 Symptoms

          Key Points Question What proportion of coronavirus disease 2019 (COVID-19) spread is associated with transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from persons with no symptoms? Findings In this decision analytical model assessing multiple scenarios for the infectious period and the proportion of transmission from individuals who never have COVID-19 symptoms, transmission from asymptomatic individuals was estimated to account for more than half of all transmission. Meaning The findings of this study suggest that the identification and isolation of persons with symptomatic COVID-19 alone will not control the ongoing spread of SARS-CoV-2.
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            Aerosol emission and superemission during human speech increase with voice loudness

            Mechanistic hypotheses about airborne infectious disease transmission have traditionally emphasized the role of coughing and sneezing, which are dramatic expiratory events that yield both easily visible droplets and large quantities of particles too small to see by eye. Nonetheless, it has long been known that normal speech also yields large quantities of particles that are too small to see by eye, but are large enough to carry a variety of communicable respiratory pathogens. Here we show that the rate of particle emission during normal human speech is positively correlated with the loudness (amplitude) of vocalization, ranging from approximately 1 to 50 particles per second (0.06 to 3 particles per cm3) for low to high amplitudes, regardless of the language spoken (English, Spanish, Mandarin, or Arabic). Furthermore, a small fraction of individuals behaves as “speech superemitters,” consistently releasing an order of magnitude more particles than their peers. Our data demonstrate that the phenomenon of speech superemission cannot be fully explained either by the phonic structures or the amplitude of the speech. These results suggest that other unknown physiological factors, varying dramatically among individuals, could affect the probability of respiratory infectious disease transmission, and also help explain the existence of superspreaders who are disproportionately responsible for outbreaks of airborne infectious disease.
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              Interpretation of random effects meta-analyses.

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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                18 December 2023
                2023
                : 12
                : e82469
                Affiliations
                [1 ] TB Modelling Group, TB Centre and Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine ( https://ror.org/00a0jsq62) London United Kingdom
                [2 ] School of Health and Related Research, University of Sheffield ( https://ror.org/05krs5044) Sheffield United Kingdom
                [3 ] International Centre for Diarrhoeal Disease Research ( https://ror.org/04vsvr128) Dhaka Bangladesh
                [4 ] School of Public Health, Vita-Salute San Raffaele University ( https://ror.org/01gmqr298) Milan Italy
                [5 ] South West Sydney Clinical Campuses, University of New South Wales ( https://ror.org/03r8z3t63) Sydney Australia
                [6 ] Ingham Institute of Applied Medical Research ( https://ror.org/03y4rnb63) Sydney Australia
                [7 ] James P. Grant School of Public Health, BRAC University ( https://ror.org/00sge8677) Dhaka Bangladesh
                [8 ] Global Tuberculosis Programme, World Health Organization ( https://ror.org/01f80g185) Geneva Switzerland
                [9 ] Department of Health Sciences, VU University ( https://ror.org/008xxew50) Amsterdam Netherlands
                [10 ] Amsterdam Public Health Research Institute Amsterdam Netherlands
                [11 ] Woolcock Institute of Medical Research ( https://ror.org/04hy0x592) Sydney Australia
                [12 ] National Lung Hospital, National Tuberculosis Control Program Ha Noi Viet Nam
                [13 ] Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association ( https://ror.org/012daep68) Tokyo Japan
                [14 ] Tropical Disease Foundation ( https://ror.org/05jxxs868) Makati City Philippines
                [15 ] Sanofi Pasteur Reading United Kingdom
                [16 ] KNCV Tuberculosis Foundation ( https://ror.org/0287mpm73) The Hague Netherlands
                [17 ] Department of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, University of Amsterdam ( https://ror.org/037n2rm85) Amsterdam Netherlands
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                University of the Witwatersrand ( https://ror.org/03rp50x72) South Africa
                Author information
                https://orcid.org/0000-0001-6644-7604
                https://orcid.org/0000-0003-4132-7467
                Article
                82469
                10.7554/eLife.82469
                10727500
                38109277
                e744596d-b209-4c8d-b783-d2addeb2a386
                © 2023, Emery et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 04 August 2022
                : 04 August 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: ERC Starting Grant No. 757699
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100020171, Foreign, Commonwealth and Development Office;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100013986, UK Government;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, UK Medical Research Council;
                Award ID: MR/P022081/1
                Award Recipient :
                Funded by: FundRef http://doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 218261/Z/19/Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: 1R01AI147321-01
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001713, European and Developing Countries Clinical Trials Partnership;
                Award ID: RIA208D-2505B
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, UK Medical Research Council;
                Award ID: CCF17-7779
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/P008011/1
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill & Melinda Gates Foundation;
                Award ID: OPP1084276
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill & Melinda Gates Foundation;
                Award ID: OPP1135288
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill & Melinda Gates Foundation;
                Award ID: INV-001754
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004423, World Health Organization;
                Award ID: 2020/985800-0
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication. For the purpose of Open Access, the authors have applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.
                Categories
                Research Article
                Epidemiology and Global Health
                Microbiology and Infectious Disease
                Custom metadata
                Data analysis and mathematical modelling suggest that subclinical tuberculosis contributes substantially to transmission and needs to be diagnosed and treated for effective progress towards tuberculosis elimination.

                Life sciences
                asymptomatic tuberculosis,mtb transmission,subclinical transmission,asymptomatic transmission,mathematical modelling,household mtb infection surveys,human

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