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International comparisons of COVID-19 case and mortality data and the effectiveness of non-pharmaceutical interventions: a plea for reconsideration

Published online by Cambridge University Press:  27 October 2021

Stephen Thomson*
Affiliation:
School of Law, City University of Hong Kong, Hong Kong, SAR of People’s Republic of China
Eric C. Ip
Affiliation:
Centre for Medical Ethics and Law, The University of Hong Kong, Hong Kong, SAR of People’s Republic of China
Shing Fung Lee
Affiliation:
Department of Clinical Oncology, The University of Hong Kong, Hong Kong, SAR of People’s Republic of China Department of Clinical Oncology, Tuen Mun Hospital, Hong Kong, SAR of People’s Republic of China
*
*Corresponding author. Email: [email protected]

Abstract

International comparisons of the effectiveness of coronavirus disease 2019 (COVID-19) non-pharmaceutical interventions (NPIs) based on national case and mortality data are fraught with underestimated complexity. This article calls for stronger attention to just how extensive is the multifactorial nature of national case and mortality data, and argues that, unless a globally consistent benchmark of measurement can be devised, such comparisons are facile, if not misleading. This can lead to policy decisions and public support for the adoption of potentially harmful NPIs that are ineffective in combating the COVID-19 pandemic and damaging to mental health, social cohesion, human rights and economic development. The unscientific use of international comparisons of case and mortality data in public discourse, media reporting and policymaking on NPI effectiveness should be subject to greater scrutiny.

Type
Opinion
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Annaka, S (2021) The truth and myth of the advantages of authoritarian countries to COVID-19. Preprint published online 8th January 2021, APSA, doi:https://preprints.apsanet.org/engage/apsa/article-details/5f8fb36ea8eb260019183c20 Google Scholar
Axell-House, DB, Lavingia, R, Rafferty, M, Clark, E, Amirian, ES and Chiao, EY (2020). The estimation of diagnostic accuracy of tests for COVID-19: a scoping review. Journal of Infection 81, 681697.CrossRefGoogle ScholarPubMed
Bhadra, A, Mukherjee, A and Sarkar, K (2021) Impact of population density on Covid-19 infected and mortality rate in India. Modeling Earth Systems and Environment 7, 623629.CrossRefGoogle ScholarPubMed
Broadbent, A, Walker, D, Chalkidou, K, Sullivan, R and Glassman, A (2020) Lockdown is not egalitarian: the costs fall on the global poor. The Lancet 396, P21P22.CrossRefGoogle Scholar
Budhram, B, Kobza, AO and Mohammed, N (2020) Misdiagnosis related to premature diagnostic closure during the COVID-19 pandemic. CMAJ 192(39), E1129E1131.CrossRefGoogle ScholarPubMed
Checchi, F and Roberts, L (2005) Interpreting and Using Mortality Data in Humanitarian Emergencies: A Primer for Non-Epidemiologists. Overseas Development Institute, London.Google Scholar
Clark, A, Jit, M, Warren-Gash, C, Guthrie, B, Wang, HHX, Mercer, SW et al. (2020) Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study. Lancet Global Health 8, E1003E1017.CrossRefGoogle ScholarPubMed
Cyranoski, D (2020) Scientists question China’s decision not to report symptom-free coronavirus cases. Nature 2020. Published online 20th February 2020. URL: https://www.nature.com/articles/d41586-020-00434-5.CrossRefGoogle Scholar
Doshi, P (2020) Covid-19: do many people have pre-existing immunity? BMJ 370, m3563.CrossRefGoogle ScholarPubMed
Dryhurst, S, Schneider, CR, Kerr, J, Freeman, ALJ, Recchia, G, van der Bles, AM et al. (2020) Risk perceptions of COVID-19 around the world. Journal of Risk Research 23(7–8), 9941006.CrossRefGoogle Scholar
Economist (2021) Global Democracy Index 2020. Published online 2nd February 2021. URL: https://www.economist.com/graphic-detail/2021/02/02/global-democracy-has-a-very-bad-year Google Scholar
Fitzpatrick, MC, Pandey, A, Wells, CR, Sah, P and Galvani, AP (2020) Buyer beware: inflated claims of sensitivity for rapid COVID-19 tests. The Lancet 397(10268), P24P25.CrossRefGoogle ScholarPubMed
Government of the Hong Kong Special Administrative Region (2020) Compulsory Testing for Certain Persons. Published online 15th November 2020. URL: https://www.coronavirus.gov.hk/eng/compulsory-testing.html Google Scholar
Guriev, S and Treisman, D (2019) Informational autocrats. Journal of Economic Perspectives 33, 100127.CrossRefGoogle Scholar
Hamidi, S, Sabouri, S and Ewing, R (2020) Does density aggravate the COVID-19 pandemic? Journal of the American Planning Association 86(4), 495509.CrossRefGoogle Scholar
Jamison, DT, Lau, LJ, Wu, KB and Xiong, Y (2020) Country performance against COVID-19: rankings for 35 countries. BMJ Global Health 5, e003047.CrossRefGoogle ScholarPubMed
Kanamoto, M, Tobe, M, Takazawa, T and Saito, S (2020) COVID-19 with repeated positive test results for SARS-CoV-2 by PCR and then negative test results twice during intensive care: a case report. Journal of Medicine Case Reports 14, 191.CrossRefGoogle ScholarPubMed
Kavanagh, MM (2020) Authoritarianism, outbreaks, and information politics. Lancet Public Health 5, e135e136.CrossRefGoogle ScholarPubMed
Koyama, T, Platt, D and Parida, L (2020) Variant analysis of SARS-CoV-2 genomes. Bulletin of the World Health Organization 98, 495504.Google ScholarPubMed
Lee, C, Kwak, S and Kim, J (2021) Controlling COVID-19 outbreaks with financial incentives. International Journal of Environmental. Research and Public Health 18, 724.Google ScholarPubMed
Liang, LL, Tseng, CH, Ho, HJ and Wu, CY (2020) Covid-19 mortality is negatively associated with test number and government effectiveness. Science Reports 10, 12567.CrossRefGoogle ScholarPubMed
Lourenço, J, Pinotti, F, Thompson, C and Gupta, S (2020) The impact of host resistance on cumulative mortality and the threshold of herd immunity for Sars-Cov-2. Preprint published online 1st October 2020, medRxiv 2020, doi: https://doi.org/10.1101/2020.07.15.20154294 CrossRefGoogle Scholar
Mahbubani, K (2020) How East Asia has controlled coronavirus, and what it means for its recovery. World Economic Forum. Published online 29th July 2020. URL: https://www.weforum.org/agenda/2020/07/asia-china-singapore-vietnam-covid19-coronavirus-government/ Google Scholar
Merow, C and Urban, MC (2020) Seasonality and uncertainty in global COVID-19 growth rates. PNAS 117, 27456–64.CrossRefGoogle ScholarPubMed
O’Toole, Á, Scher, E, Jackson, B, McCrone, JT, Colquhoun, R, Hill, V et al. (2021) PANGO Lineages: Latest Epidemiological Lineages of SARS-CoV-2. Published online August 2021. URL: https://cov-lineages.org/index.html Google Scholar
Raleigh, VS (2020) UK’s record on pandemic deaths. BMJ 370, m3348.CrossRefGoogle ScholarPubMed
Reporters Without Borders (2021) 2021 World Press Freedom Index. Published online April 2021. URL: https://rsf.org/en/ranking.Google Scholar
Ritchie, H, Ortiz-Ospina, E, Beltekian, D, Mathieu, E, Hasell, J, Macdonald, B et al. (2021) Policy Responses to the Coronavirus Pandemic. Published online 16th May 2021. URL:https://ourworldindata.org/policy-responses-covid Google Scholar
Thomson, S and Ip, EC (2020a) COVID-19 emergency measures and the impending authoritarian pandemic. Journal of Law and the Biosciences 7, 133.CrossRefGoogle ScholarPubMed
Thomson, S and Ip, EC (2020b) COVID-19 emergency measures are hurting democracy globally. American Journal of Public Health 110(9), 13561357.CrossRefGoogle ScholarPubMed
Tsang, TK, Wu, P, Lin, Y, Lau, EHY, Leung, GM and Cowling, BJ (2020) Effect of changing case definitions for COVID-19 on the epidemic curve and transmission parameters in mainland China: a modelling study. Lancet Public Health 5, e289e296.CrossRefGoogle ScholarPubMed
UK Department of Health (2021) UK Influenza Pandemic Preparedness Strategy 2011. Published online 10th November 2021. URL: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/213717/dh_131040.pdf.Google Scholar
UK Government (2021a) Coronavirus (COVID-19) in the UK: Cases in United Kingdom. Published online 17th March 2021. URL: https://coronavirus.data.gov.uk/details/cases.Google Scholar
UK Government (2021b) Coronavirus (COVID-19) in the UK: Deaths in United Kingdom. Published online 17th March 2021. URL: https://coronavirus.data.gov.uk/details/deaths.Google Scholar
Volz, E, Mishra, S, Chand, M, Barrett, JC, Johnson, R, Geidelberg, L et al. (2021) Transmission of SARS-CoV-2 lineage B.1.1.7 in England: insights from linking epidemiological and genetic data. Preprint published online 4th January 2021, medRxiv. URL: https://www.medrxiv.org/content/10.1101/2020.12.30.20249034v2 CrossRefGoogle Scholar
World Health Organization (2020) Estimating Mortality from COVID-19: Scientific Brief. Published online 4th August 2020. URL: https://www.who.int/publications/i/item/WHO-2019-nCoV-Sci-Brief-Mortality-2020 Google Scholar
World Health Organization (2021a) Democratic People’s Republic of Korea. Published online 1st September 2021. URL: https://covid19.who.int/region/searo/country/kp Google Scholar
World Health Organization (2021b) Turkmenistan. Published online 1st September 2021. URL: https://covid19.who.int/region/euro/country/tm Google Scholar
Yang, J, Hu, J and Zhu, C (2021) Obesity aggravates COVID-19: a systematic review and meta-analysis. Journal of Medical Virology 93, 257261.CrossRefGoogle ScholarPubMed