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Re: Quantification of Shared Air: A Social and Environmental Determinant of Airborne Disease Transmission.

Posted by tomyates on 13 Oct 2014 at 13:19 GMT

This paper [1] presents an interesting and novel approach to examining the variation in TB risk across different environments. However, we have concerns over the modelling approach, specifically with using the minimum daily value as an estimate of the outdoor concentration of CO2.

In our experience, there can be a large spatial and temporal variation in outdoor CO2 levels, which would not be captured when using a single minimum value from a 24 hour period. Furthermore, different environments are likely to have sources of CO2 present, such as those from combustion engines during transport, or gas cooking in the home environment. While the authors mention that they asked participants to record if there were any alternative sources of CO2 present, they do not mention how they accounted for this in their calculations.

In interpreting these results, it is also important to consider likely heterogeneity in infectivity. Substantial heterogeneity in the infectivity of individuals with TB has been demonstrated in a number of studies [2-6]. Were a limited number of individuals the source of many new infections in a community, this might be expected to increase the importance of indoor public spaces as sites of TB transmission. Thus, whilst much rebreathing of air might occur at home (48% in this study), school and, potentially, other public spaces, such as clinics, might be the main sites of TB transmission.

Molecular epidemiology suggests that transmission between members of the same household makes a limited contribution to TB disease in high burden settings [7-9].

Jonathon Taylor
The Bartlett, Faculty of the Built Environment, University College London

Tom A. Yates
Research Department of Infection and Population Health, University College London

1. Wood R, Morrow C, Ginsberg S, Piccoli E, Kalil D, et al. (2014) Quantification of Shared Air: A Social and Environmental Determinant of Airborne Disease Transmission. PLoS ONE 9(9): e106622.
2. Sultan L, Nyka W, Mills C, O'Grady F, Wells W, et al. (1960) Tuberculosis disseminators. A study of the variability of aerial infectivity of tuberculous patients. Am Rev Respir Dis 82: 358-69.
3. Godfrey-Faussett P, Sonnenberg P, Shearer SC, Bruce MC, Mee C, et al. (2000) Tuberculosis control and molecular epidemiology in a South African gold-mining community. Lancet 356(9235): 1066-71.
4. Escombe AR, Moore DA, Gilman RH, Pan W, Navincopa M, et al. (2008) The infectiousness of tuberculosis patients coinfected with HIV. PLoS Med 5(9): e188.
5. Jones-López EC, Namugga O, Mumbowa F, Ssebidandi M, Mbabazi O, et al. (2013) Cough aerosols of Mycobacterium tuberculosis predict new infection: a household contact study. Am J Respir Crit Care Med 187(9): 1007-15.
6. Ypma RJ, Altes HK, van Soolingen D, Wallinga J, van Ballegooijen WM. (2013 ) A sign of superspreading in tuberculosis: highly skewed distribution of genotypic cluster sizes. Epidemiology 24(3): 395-400.
7. Verver S, Warren RM, Munch Z, Richardson M, van der Spuy GD, et al. (2004) Proportion of tuberculosis transmission that takes place in households in a high-incidence area. Lancet 363(9404): 212-4.
8. Crampin AC, Glynn JR, Traore H, Yates MD, Mwaungulu L, et al. (2006) Tuberculosis transmission attributable to close contacts and HIV status, Malawi. Emerg Infect Dis 12(5): 729-35.
9. Middelkoop K, Mathema B, Myer L, Shashkina E, Whitelaw A, et al. (2014) Transmission of Tuberculosis in a South African Community With a High Prevalence of HIV Infection. J Infect Dis pii: jiu403. [Epub ahead of print]

Competing interests declared: We are currently involved in a project attempting the measure ventilation in public spaces in Northern KwaZulu-Natal.