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Original article

Vol. 150 No. 1112 (2020)

Potential impact of seasonal forcing on a SARS-CoV-2 pandemic

  • Richard A. Neher
  • Robert Dyrdak
  • Valentin Druelle
  • Emma B. Hodcroft
  • Jan Albert
Cite this as:
Swiss Med Wkly. 2020;150:w20224
Published
16.03.2020

Summary

A novel coronavirus (SARS-CoV-2) first detected in Wuhan, China, has spread rapidly since December 2019, causing more than 100,000 confirmed infections and 4000 fatalities (as of 10 March 2020). The outbreak has been declared a pandemic by the WHO on Mar 11, 2020.

Here, we explore how seasonal variation in transmissibility could modulate a SARS-CoV-2 pandemic. Data from routine diagnostics show a strong and consistent seasonal variation of the four endemic coronaviruses (229E, HKU1, NL63, OC43) and we parameterise our model for SARS-CoV-2 using these data. The model allows for many subpopulations of different size with variable parameters. Simulations of different scenarios show that plausible parameters result in a small peak in early 2020 in temperate regions of the Northern Hemisphere and a larger peak in winter 2020/2021. Variation in transmission and migration rates can result in substantial variation in prevalence between regions.

While the uncertainty in parameters is large, the scenarios we explore show that transient reductions in the incidence rate might be due to a combination of seasonal variation and infection control efforts but do not necessarily mean the epidemic is contained. Seasonal forcing on SARS-CoV-2 should thus be taken into account in the further monitoring of the global transmission. The likely aggregated effect of seasonal variation, infection control measures, and transmission rate variation is a prolonged pandemic wave with lower prevalence at any given time, thereby providing a window of opportunity for better preparation of health care systems.

References

  1. Gorbalenya AE. bioRxiv, 2020;2020.02.07.937862.
  2. WHO Emergency Committee. Statement on the second meeting of the international health regulations (2005) emergency committee regarding the outbreak of novel coronavirus (2019-ncov). 2020. Available at: https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov).
  3. WHO. WHO Director-General’s opening remarks at the media briefing on COVID-19. 2020. Available at: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-mission-briefing-on-covid-19---13-march-2020.
  4. Chen L Liu W Zhang Q Xu K Ye G Wu W RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak. Emerg Microbes Infect. 2020;9(1):313–9. doi:.https://doi.org/10.1080/22221751.2020.1725399
  5. WHO. Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19). 2020 Available at: https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf.
  6. ECDC. Daily risk assessment on COVID-19. 2020 Available at: https://www.ecdc.europa.eu/en/current-risk-assessment-novel-coronavirus-situation
  7. Rothe C Schunk M Sothmann P Bretzel G Froeschl G Wallrauch C Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany. N Engl J Med. 2020;382(10):970–1. doi:.https://doi.org/10.1056/NEJMc2001468
  8. Singapore Ministry of Health. Updates on 2019 novel coronavirus (2019-ncov) local situation. 2020. Available at: https://www.moh.gov.sg/covid-19.
  9. WHO Emergency Committee. Novel Coronavirus (2019-nCoV) Situation Report – 23. 2020. Available at: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200212-sitrep-23-ncov.pdf?sfvrsn=41e9fb78_4.
  10. Riou J Althaus CL. Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020. Euro Surveill. 2020;25(4). doi:.https://doi.org/10.2807/1560-7917.ES.2020.25.4.2000058
  11. Wu JT Leung K Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020;395(10225):689–97. doi:.https://doi.org/10.1016/S0140-6736(20)30260-9
  12. Sanche S, Lin,YT, Xu C, Romero-Severson E, Hengartner N, Ke R. medRxiv. 2020;2020.02.07.20021154.
  13. Yang Y, Lu, Q, Liu M, Wang Y, Zhang A, Jalali, N, et al. medRxiv. 2020;2020.02.10.20021675.
  14. Petrova VN Russell CA. The evolution of seasonal influenza viruses. Nat Rev Microbiol. 2018;16(1):47–60. doi:.https://doi.org/10.1038/nrmicro.2017.118
  15. Al-Khannaq MN Ng KT Oong XY Pang YK Takebe Y Chook JB Diversity and Evolutionary Histories of Human Coronaviruses NL63 and 229E Associated with Acute Upper Respiratory Tract Symptoms in Kuala Lumpur, Malaysia. Am J Trop Med Hyg. 2016;94(5):1058–64. doi:.https://doi.org/10.4269/ajtmh.15-0810
  16. Friedman N Alter H Hindiyeh M Mendelson E Shemer Avni Y Mandelboim M. Human Coronavirus Infections in Israel: Epidemiology, Clinical Symptoms and Summer Seasonality of HCoV-HKU1. Viruses. 2018;10(10):515. doi:.https://doi.org/10.3390/v10100515
  17. Galanti M Birger R Ud-Dean M Filip I Morita H Comito D Longitudinal active sampling for respiratory viral infections across age groups. Influenza Other Respir Viruses. 2019;13(3):226–32. doi:.https://doi.org/10.1111/irv.12629
  18. Góes LGB Zerbinati RM Tateno AF de Souza AV Ebach F Corman VM Typical epidemiology of respiratory virus infections in a Brazilian slum. J Med Virol. 2019;jmv.25636. doi:.https://doi.org/10.1002/jmv.25636
  19. Huang S-H Su M-C Tien N Huang C-J Lan Y-C Lin C-S Epidemiology of human coronavirus NL63 infection among hospitalized patients with pneumonia in Taiwan. J Microbiol Immunol Infect. 2017;50(6):763–70. doi:.https://doi.org/10.1016/j.jmii.2015.10.008
  20. Killerby ME Biggs HM Haynes A Dahl RM Mustaquim D Gerber SI Human coronavirus circulation in the United States 2014-2017. J Clin Virol. 2018;101:52–6. doi:.https://doi.org/10.1016/j.jcv.2018.01.019
  21. Amato-Gauci A Zucs P Snacken R Ciancio B Lopez V Broberg E European Influenza Surveillance Network EISN. Surveillance trends of the 2009 influenza A(H1N1) pandemic in Europe. Euro Surveill. 2011;16(26):19903. doi:.https://doi.org/10.2807/ese.16.26.19903-en
  22. Taubenberger JK, Kash JC, Moren DM, et al. The 1918 influenza pandemic: 100 years of questions answered and unanswered. Sci Transl Med. 2019;11(502):eaau5485.
  23. Viboud C Grais RF Lafont BAP Miller MA Simonsen L Multinational Influenza Seasonal Mortality Study Group. Multinational impact of the 1968 Hong Kong influenza pandemic: evidence for a smoldering pandemic. J Infect Dis. 2005;192(2):233–48. doi:.https://doi.org/10.1086/431150
  24. Viboud C Simonsen L Fuentes R Flores J Miller MA Chowell G. Global Mortality Impact of the 1957-1959 Influenza Pandemic. J Infect Dis. 2016;213(5):738–45. doi:.https://doi.org/10.1093/infdis/jiv534
  25. Tiveljung-Lindell A Rotzén-Ostlund M Gupta S Ullstrand R Grillner L Zweygberg-Wirgart B Development and implementation of a molecular diagnostic platform for daily rapid detection of 15 respiratory viruses. J Med Virol. 2009;81(1):167–75. doi:.https://doi.org/10.1002/jmv.21368
  26. Kermack WO McKendrick AG. Contributions to the mathematical theory of epidemics--I. 1927. Bull Math Biol. 1991;53(1-2):33–55.
  27. Chen S Epureanu B. Regular biennial cycles in epidemics caused by parametric resonance. J Theor Biol. 2017;415:137–44. doi:.https://doi.org/10.1016/j.jtbi.2016.12.013
  28. Dushoff J Plotkin JB Levin SA Earn DJD. Dynamical resonance can account for seasonality of influenza epidemics. Proc Natl Acad Sci USA. 2004;101(48):16915–6. doi:.https://doi.org/10.1073/pnas.0407293101
  29. Callow KA Parry HF Sergeant M Tyrrell DA. The time course of the immune response to experimental coronavirus infection of man. Epidemiol Infect. 1990;105(2):435–46. doi:.https://doi.org/10.1017/S0950268800048019
  30. Guo X, Guo Z Duan C, Chen Z, Wang G Lu Y, et al. (2020), medRxiv. 2020;2020.02.12.20021386.
  31. Backer, JA, Klinkenberg D, Wallinga J. medRxiv. 2020;2020.01.27.20018986.
  32. Quilty BJ Clifford S Flasche S Eggo RM CMMID nCoV working group. Effectiveness of airport screening at detecting travellers infected with novel coronavirus (2019-nCoV). Euro Surveill. 2020;25(5):2000080. doi:.https://doi.org/10.2807/1560-7917.ES.2020.25.5.2000080
  33. WHO Emergency Committee. Novel Coronavirus (2019-nCoV) Situation Report – 50. 2020. Available at: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200310-sitrep-50-covid-19.pdf?sfvrsn=55e904fb_2
  34. Luo W, Majumder MS, Liu D, Poirier C, Mandl KD, Lipsitch M, et al. medRxiv. 2020 2020.02.12.20022467.
  35. Battegay M Kuehl R Tschudin-Sutter S Hirsch HH Widmer AF Neher RA. 2019-novel Coronavirus (2019-nCoV): estimating the case fatality rate - a word of caution. Swiss Med Wkly. 2020;150(0506):w20203. doi:.https://doi.org/10.4414/smw.2020.20203