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The Effect of Face Masks on Covid Transmission: A Meta-Analysis

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  • Martina Luskova

    (Institute of Economic Studies at Faculty of Social Sciences, Charles University, Prague)

Abstract

The effect of face masks on Covid-19 transmission is crucial for the health of populations. The effectiveness of face masks in reducing the transmission of Covid-19 varies across primary evidence. To perform a quantitative meta-analysis, we collected 258 estimates from 44 primary studies together with more than 30 variables reflecting the differences among these studies. We examine publication bias by implementing various statistical tests, revealing mild evidence for the phenomenon. Our contribution to other meta-analyses on this topic involves the use of Bayesian and Frequentist model averaging to identify the drivers behind the heterogeneity of the estimates. The results indicate that temperature, geographical latitude, and panel data structure increase the risk of transmission associated with maskwearing. Furthermore, a positive effect is identified for the healthcare setup. In contrast, wearing masks during aerosol-generating procedures decreases the risk of transmission.

Suggested Citation

  • Martina Luskova, 2024. "The Effect of Face Masks on Covid Transmission: A Meta-Analysis," Working Papers IES 2024/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2024.
    • Handle: RePEc:fau:wpaper:wp2024_02
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    File URL: https://ies.fsv.cuni.cz/en/effect-face-masks-covid-transmission-meta-analysis
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    References listed on IDEAS

    as
    1. Nadim Sharif & Khalid J Alzahrani & Shamsun Nahar Ahmed & Rubayet Rayhan Opu & Nayan Ahmed & Aeken Talukder & Raju Nunia & Mysha Samiha Chowdhury & Israt Jahan Nodi & Tama Saha & Ming Zhang & Shuvra K, 2021. "Protective measures are associated with the reduction of transmission of COVID-19 in Bangladesh: A nationwide cross-sectional study," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-15, November.
    2. Tomas Havranek & Zuzana Irsova & Lubica Laslopova & Olesia Zeynalova, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," Working Papers IES 2020/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    3. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    4. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    5. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
    6. Yuan Liu & Zhi Ning & Yu Chen & Ming Guo & Yingle Liu & Nirmal Kumar Gali & Li Sun & Yusen Duan & Jing Cai & Dane Westerdahl & Xinjin Liu & Ke Xu & Kin-fai Ho & Haidong Kan & Qingyan Fu & Ke Lan, 2020. "Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals," Nature, Nature, vol. 582(7813), pages 557-560, June.
    7. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
    8. Jena, Pradyot Ranjan & Majhi, Ritanjali & Kalli, Rajesh & Managi, Shunsuke & Majhi, Babita, 2021. "Impact of COVID-19 on GDP of major economies: Application of the artificial neural network forecaster," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 324-339.
    9. Gerber, Alan & Malhotra, Neil, 2008. "Do Statistical Reporting Standards Affect What Is Published? Publication Bias in Two Leading Political Science Journals," Quarterly Journal of Political Science, now publishers, vol. 3(3), pages 313-326, October.
    10. Stanley, T. D. & Jarrell, Stephen B. & Doucouliagos, Hristos, 2010. "Could It Be Better to Discard 90% of the Data? A Statistical Paradox," The American Statistician, American Statistical Association, vol. 64(1), pages 70-77.
    11. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
    12. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
    13. Theo S. Eicher & Chris Papageorgiou & Adrian E. Raftery, 2011. "Default priors and predictive performance in Bayesian model averaging, with application to growth determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 30-55, January/F.
    14. Karaivanov, Alexander & Lu, Shih En & Shigeoka, Hitoshi & Chen, Cong & Pamplona, Stephanie, 2021. "Face masks, public policies and slowing the spread of COVID-19: Evidence from Canada," Journal of Health Economics, Elsevier, vol. 78(C).
    15. John P. A. Ioannidis & T. D. Stanley & Hristos Doucouliagos, 2017. "The Power of Bias in Economics Research," Economic Journal, Royal Economic Society, vol. 127(605), pages 236-265, October.
    16. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    17. Mana Sugimura & Odgerel Chimed-Ochir & Yui Yumiya & Hiroki Ohge & Nobuaki Shime & Takemasa Sakaguchi & Junko Tanaka & Toshiro Takafuta & Michi Mimori & Masao Kuwabara & Toshimasa Asahara & Eisaku Kish, 2021. "The Association between Wearing a Mask and COVID-19," IJERPH, MDPI, vol. 18(17), pages 1-7, August.
    18. Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul, 2021. "Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S," Journal of Econometrics, Elsevier, vol. 220(1), pages 23-62.
    19. Tomas Havranek & Zuzana Irsova & Olesia Zeynalova, 2018. "Tuition Fees and University Enrolment: A Meta‐Regression Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1145-1184, December.
    20. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    21. Bruce E. Hansen, 2007. "Least Squares Model Averaging," Econometrica, Econometric Society, vol. 75(4), pages 1175-1189, July.
    22. Chris Doucouliagos & T.D. Stanley, 2013. "Are All Economic Facts Greatly Exaggerated? Theory Competition And Selectivity," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 316-339, April.
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    More about this item

    Keywords

    meta-analysis; Covid-19; face masks; pandemic; transmission; publication bias; Bayesian model averaging;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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