IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i6p3407-d770662.html
   My bibliography  Save this article

Trends in Excess Winter Mortality (EWM) from 1900/01 to 2019/20—Evidence for a Complex System of Multiple Long-Term Trends

Author

Listed:
  • Rodney P. Jones

    (Healthcare Analysis & Forecasting, Wantage OX12 0NE, UK)

  • Andriy Ponomarenko

    (Department of Biophysics, Informatics and Medical Instrumentation, Odessa National Medical University, Valikhovsky Lane 2, 65082 Odessa, Ukraine)

Abstract

Trends in excess winter mortality (EWM) were investigated from the winter of 1900/01 to 2019/20. During the 1918–1919 Spanish flu epidemic a maximum EWM of 100% was observed in both Denmark and the USA, and 131% in Sweden. During the Spanish flu epidemic in the USA 70% of excess winter deaths were coded to influenza. EWM steadily declined from the Spanish flu peak to a minimum around the 1960s to 1980s. This decline was accompanied by a shift in deaths away from the winter and spring, and the EWM calculation shifted from a maximum around April to June in the early 1900s to around March since the late 1960s. EWM has a good correlation with the number of estimated influenza deaths, but in this context influenza pandemics after the Spanish flu only had an EWM equivalent to that for seasonal influenza. This was confirmed for a large sample of world countries for the three pandemics occurring after 1960. Using data from 1980 onward the effect of influenza vaccination on EWM were examined using a large international dataset. No effect of increasing influenza vaccination could be discerned; however, there are multiple competing forces influencing EWM which will obscure any underlying trend, e.g., increasing age at death, multimorbidity, dementia, polypharmacy, diabetes, and obesity—all of which either interfere with vaccine effectiveness or are risk factors for influenza death. After adjusting the trend in EWM in the USA influenza vaccination can be seen to be masking higher winter deaths among a high morbidity US population. Adjusting for the effect of increasing obesity counteracted some of the observed increase in EWM seen in the USA. Winter deaths are clearly the outcome of a complex system of competing long-term trends.

Suggested Citation

  • Rodney P. Jones & Andriy Ponomarenko, 2022. "Trends in Excess Winter Mortality (EWM) from 1900/01 to 2019/20—Evidence for a Complex System of Multiple Long-Term Trends," IJERPH, MDPI, vol. 19(6), pages 1-24, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3407-:d:770662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/6/3407/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/6/3407/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thompson, W.W. & Moore, M.R. & Weintraub, E. & Cheng, P.-Y. & Jin, X. & Bridges, C.B. & Bresee, J.S. & Shay, D.K., 2009. "Estimating influenza-associated deaths in the United States," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 225-230.
    2. Qian Yin & Jinfeng Wang & Zhoupeng Ren & Jie Li & Yuming Guo, 2019. "Mapping the increased minimum mortality temperatures in the context of global climate change," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    3. Aiping Wu & Yousong Peng & Xiangjun Du & Yuelong Shu & Taijiao Jiang, 2010. "Correlation of Influenza Virus Excess Mortality with Antigenic Variation: Application to Rapid Estimation of Influenza Mortality Burden," PLOS Computational Biology, Public Library of Science, vol. 6(8), pages 1-10, August.
    4. Valdez, R. & Venkat Narayan, K.M. & Geiss, L.S. & Engelgau, M.M., 1999. "Impact of diabetes mellitus on mortality associated with pneumonia and influenza among non-hispanic black and white US adults," American Journal of Public Health, American Public Health Association, vol. 89(11), pages 1715-1721.
    5. Doshi, P., 2008. "Trends in recorded influenza mortality: United States, 1900-2004," American Journal of Public Health, American Public Health Association, vol. 98(5), pages 939-945.
    6. Rodney P Jones, 2021. "Excess Winter Mortality (EWM) as a Dynamic Forensic Tool: Where, When, Which Conditions, Gender, Ethnicity and Age," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Correia, Sergio & Luck, Stephan & Verner, Emil, 2022. "Pandemics Depress the Economy, Public Health Interventions Do Not: Evidence from the 1918 Flu," The Journal of Economic History, Cambridge University Press, vol. 82(4), pages 917-957, December.
    2. Charles Stoecker & Nicholas J. Sanders & Alan Barreca, 2016. "Success Is Something to Sneeze At: Influenza Mortality in Cities that Participate in the Super Bowl," American Journal of Health Economics, MIT Press, vol. 2(1), pages 125-143, January.
    3. Igor Balaz & Taichi Haruna, 2018. "Evolution Of Influenza A Nucleotide Segments Through The Lens Of Different Complexity Measures," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-24, August.
    4. Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.
    5. Xi-Ling Wang & Lin Yang & King-Pan Chan & Susan S Chiu & Kwok-Hung Chan & J S Malik Peiris & Chit-Ming Wong, 2012. "Model Selection in Time Series Studies of Influenza-Associated Mortality," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-7, June.
    6. Quansheng Ge & Mengmeng Hao & Fangyu Ding & Dong Jiang & Jürgen Scheffran & David Helman & Tobias Ide, 2022. "Modelling armed conflict risk under climate change with machine learning and time-series data," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    7. Charles Stoecker & Nicholas J. Sanders & Alan Barreca, 2015. "Success is Something to Sneeze at: Influenza Mortality in Regions that Send Teams to the Super Bowl," Working Papers 1501, Tulane University, Department of Economics.
    8. Lida Dimitriadou & Panagiotis Nastos & Kostas Eleftheratos & John Kapsomenakis & Christos Zerefos, 2022. "Mortality Related to Air Temperature in European Cities, Based on Threshold Regression Models," IJERPH, MDPI, vol. 19(7), pages 1-27, March.
    9. Raimi, Daniel, 2021. "Effects of Climate Change on Heat- and Cold-Related Mortality: A Literature Review to Inform Updated Estimates of the Social Cost of Carbon," RFF Working Paper Series 21-12, Resources for the Future.
    10. Rodney P Jones, 2021. "Excess Winter Mortality (EWM) as a Dynamic Forensic Tool: Where, When, Which Conditions, Gender, Ethnicity and Age," IJERPH, MDPI, vol. 18(4), pages 1-22, February.
    11. Lin, Peter Z. & Meissner, Christopher M., 2021. "Persistent Pandemics," Economics & Human Biology, Elsevier, vol. 43(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3407-:d:770662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.