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13 October 2022

Reemerging Influenza Virus Infections during the Dominance of the Omicron SARS-CoV-2 Variant in Mexico

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1
University Center for Biomedical Research, CONACyT—University of Colima, Av. 25 de Julio 965, Col. Villas San Sebastián, Colima 28045, Mexico
2
University Center for Biomedical Research, University of Colima, Av. 25 de Julio 965, Col. Villas San Sebastián, Colima 28045, Mexico
3
Health Education Coordination, Mexican Institute of Social Security, Calzada del Ejercito Nacional 14, Col. Fray Junípero Serra, Tepic 63160, Mexico
4
Academic Unit of Medicine, Autonomous University of Nayarit, Ciudad de la Cultura Amado Nervo, Tepic 63155, Mexico
Pathogens2022, 11(10), 1181;https://doi.org/10.3390/pathogens11101181
This article belongs to the Special Issue Emerging and Re-emerging Viral Infectious Diseases
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Abstract

The burden of influenza in Mexico has been high. We aimed to characterize its epidemiological patterns before and during the coronavirus disease 2019 (COVID-19) pandemic. A retrospective cohort study was conducted and 5652 PCR-confirmed cases of influenza (October 2019–April 2022) were analyzed. The highest incidence (144 per million) was observed in December 2019 and rapidly decreased right before the start of the pandemic (February 2020). No cases were documented in the 2020–2021 season, and infections reemerged at a low level (8 per million) in December 2021. The case-fatality rates were around 5% in both seasons (p = 0.591). The dominant strains were AH1N1 and AH3N2 in the 2019–2020 and 2021–2022 seasons, respectively. In multiple analysis, males and older patients were at increased risk of a fatal outcome. Flu vaccination and infection by B lineages (vs. AH1N1) showed a protective effect. Our results suggest that the spread of the influenza virus reemerged in the 2021–2022 season when the SARS-CoV-2 Omicron variant (B.1.1.529) was dominant. Efforts focusing on the prevention of transmission of respiratory viral pathogens, together with flu vaccination, may be useful to reduce the risk of an influenza outbreak.

1. Introduction

In the Northern Hemisphere, the flu season can begin as early as October and can last as late as April or May. The influenza-related burden of disease in Mexico has been historically high []. However, the nonpharmaceutical interventions that were taken to prevent the coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have also decreased the spread of common respiratory viral pathogens, including the influenza virus [].
The relaxation of interventions combating the COVID-19 pandemic may modify the epidemiological patterns of influenza infections and even lead to a large disease outbreak []. In Mexico, the SARS-CoV-2 Omicron variant (B.1.1.529) has been dominant since the end of December 2021 [], and, even when the virus is able to evade neutralizing antibodies [], the illness is associated with milder symptoms when compared with previous variants or the wild-type infection.
The objective of this study was to characterize the epidemiology, in terms of incidence rates and case-fatality rates (CFRs), and the dominant viral strain of seasonal influenza in Mexico before and during the COVID-19 pandemic (2019–2022). In addition, we evaluated factors determining the risk of a fatal outcome in patients with laboratory-confirmed influenza virus infection.

2. Materials and Methods

We conducted a nationwide retrospective cohort study in Mexico from May to August 2022. Individuals with laboratory-confirmed (reverse-transcription polymerase chain reaction, RT-PCR) influenza infection and symptom onset from October 2019 to April 2022 were enrolled. Eligible patients were identified from the nominal records of a normative system for the epidemiological surveillance of respiratory viral pathogens that belongs to the Mexican Institute of Social Security (IMSS—the Spanish acronym). Clinical files of patients are the main data source for the audited epidemiological surveillance system.
According to normative standards, nasopharyngeal or oropharyngeal swabs were taken from patients with suggestive symptoms of respiratory viral disease. The latest (updated on April 2022) definition of respiratory viral disease includes the presence of at least one major symptom (fever, cough, headache, or dyspnea) together with at least one minor symptom (myalgias, arthralgias, odynophagia, chills, thoracic pain, rhinorrhea, polypnea, anosmia, dysgeusia, or conjunctivitis) []. Molecular testing was performed on these biological samples to identify the viral pathogen involved (influenza virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or other).
The molecular diagnosis took place in any of four regional (Mexico City, Nuevo León, Jalisco, and Yucatán), highly specialized laboratories of the IMSS. A broader description of the employed laboratory methods has been published elsewhere [].
Enrolled subjects were classified, according to the date of symptom onset, into one of the following influenza seasons (October–April): 2019–2020, 2020–2021, and 2021–2022. Summary statistics were computed. Seasonal and age-stratified (0–9, 10–19, 20–49, 50–59, and 60-or-above years old) incidence rates (per million people) and case-fatality rates (CFRs, per 1000) were obtained. We used risk ratios (RRs) and 95% confidence intervals (CIs) to evaluate factors associated with death risk, and they were computed through a multiple generalized linear regression model.

3. Results

Data from 5652 laboratory-confirmed cases of influenza were analyzed. No laboratory-confirmed cases were registered in the 2020–2021 season. The proportions of enrolled cases in the remaining seasons were as follows: 2019–2020, 85.6% (n = 4836); 2021–2022, 14.4% (n = 816).
Most of the analyzed patients were female (54.7%) and the mean age (± standard deviation) was 32.5 ± 20.8 years old (total range: 0–95 years). No significant differences in the mean ages of patients were observed between the analyzed influenza seasons (p = 0.180). Table 1 shows the characteristics of the study sample for selected variables.
Table 1. Characteristics of the study sample for selected variables (Mexico, 2019–2022).
As can be observed in Figure 1, the highest incidence rate (260 cases per million) was observed in December 2019 among children aged 0–9 years old. The overall rate during the same period was 144 cases per million and rapidly decreased during January 2020. Influenza transmission continued at low levels during the rest of the season (February–April 2020).
Figure 1. Incidence rates (per million people) of laboratory-confirmed cases of influenza in Mexico, 2019–2022.
In the latest analyzed season (2021–2022), the highest rate (8 cases per million) was also registered in the month of December, and young adults (20–49 years old) had the highest age-stratified rate (15 cases per million).
A total of 245 fatal outcomes were registered in 2019–2020, this figure being almost seven times higher than that documented for the influenza 2021–2022 season (n = 45). The cumulative CFRs were 5.1% and 5.5% in the first and last influenza seasons, respectively (p = 0.591).
The AH1N1 strain was predominant in the 2019–2020 season, and it was isolated in nearly two-thirds (62.5%) of cases (Figure 2). The B Victoria lineage and AH3N2 strains were identified in 36.2% and 28.9% of patients, respectively. During the latest influenza season (2021–2022), AH3N2 became clearly predominant and caused more than nearly 93% of infections. In addition, during the 2021–2022 season, the AH1N1 and B Victoria lineage strains were isolated in 2 and 5 out of 1000 PCR-confirmed cases, respectively.
Figure 2. Proportion of viral strains identified in laboratory-confirmed cases of influenza (Mexico, 2019–2022).
In multiple regression analysis (Table 2), the 2021–2022 influenza season (vs. 2019–2020) was not associated with significant increased risk of dying. Factors associated with a higher risk of a fatal disease outcome were male gender (RR = 1.02, 95% CI 1.01–1.03) and older age, particularly being aged 40–59 years old (vs. 0–9: RR = 1.07, 95% CI 1.05–1.09) or 60 years or above (RR = 1.23, 95% CI 1.20–1.27). As also shown in Table 2, flu vaccination (RR = 0.97, 95% CI 0.96–0.99) and B lineages (vs. AH1N1: Victoria, RR = 0.96, 95% CI 0.95–0.98; Yamagata, RR = 0.95, 95% CI 0.91–0.99) were associated with decreased risk of a fatal outcome.
Table 2. Characteristics associated with mortality risk due to laboratory-confirmed seasonal influenza (Mexico, 2019–2022).

4. Discussion

Our study characterized epidemiological aspects related to influenza virus infections in Mexico right before and during the COVID-19 pandemic. The presented results suggest that the disease patterns have been heterogeneous during the pandemic waves in terms of incidence, fatality risk, and predominant viral strains.
We observed a decrease in the incidence of PCR-confirmed influenza infections coincident with the beginning of the COVID-19 pandemic in Mexico (Figure 1). This decreasing trend was previously documented in our country and other territories [,,]. The first COVID-19 case in Mexico had been registered by the end of February 2020 []. Factors determining this scenario may have included increased fear of getting sick and dying from COVID-19, which may in turn have increased adherence to nonpharmaceutical preventive interventions, such as hand hygiene and use of face masks. Low adherence to these practices was described during influenza seasons before the coronavirus pandemic [].
Interestingly, no influenza cases were documented during the 2020–2021 season or when the Delta variant was dominant []. We hypothesize that this may have been determined, at least partially, by the re-implementation of strict physical distancing and other nonpharmaceutical interventions during the Delta variant’s emergence and an increase in the proportion of the population requesting seasonal influenza vaccination [,].
In our analysis, influenza cases had reemerged by December 2021 simultaneously with the replacement of Delta with Omicron as the dominant variant. Since this latter variant was associated with milder symptoms [], a relaxation of strategies reducing the spread of respiratory viral pathogens may have been involved in the re-emergence of the influenza virus. These relaxed strategies may have included the lockdown, travel restrictions, and personal protective measures (such as the widespread use of masks) [,], which targeted the prevention and control of SARS-CoV-2 transmission. It is also important to cite that the observed incidence rates in the 2021–2022 season were considerably lower than those registered in 2019–2020.
Another major finding from our study is that the predominant viral strains changed and that in the 2021-2022 season AH3N2 replaced AH1N1 (2019–2020) as the dominant strain. The same scenario has been observed in the rest of the Northern Hemisphere [] and is likely to be related to the biannual behavior of viral subtypes []. Despite the strain variations, the CFRs were similar (p = 0.591) in both influenza seasons. In the Southern Hemisphere, where flu seasons usually occur from April to September, a reemergence of influenza virus infections was also observed with the predominance of the AH3N2 subtype [].
The limitations of this study must be cited. Since we used secondary data from an epidemiological surveillance system, we were unable to ensure that there were no influenza cases in the 2020–2021 season. It seems more plausible that cases occurred but at a low level such that they were not identified, for some reason, as influenza cases. Influenza activity in the rest of the Northern Hemisphere in the 2020–2021 period was reported as low [].

5. Conclusions

Our results suggest that the transmission of the influenza virus reemerged during the 2021–2022 season, coincident with the dominance of the Omicron variant of SARS-CoV-2 and the relaxation of non-pharmaceutical interventions implemented earlier in the COVID-19 pandemic. Therefore, an influenza outbreak might be feasible and preventive interventions may be highly useful to reduce the risk.

Author Contributions

Conceptualization, M.R.-S., O.M.-C., A.L.-R. and E.M.-Z.; methodology, X.T., J.A.B.-B. and M.H.; software, J.G.-E. and V.B.-G.; validation, M.R.-S., X.T. and M.H.; formal analysis, J.G.-E. and O.M.-C.; investigation, V.B.-G.; resources, J.A.B.-B. and V.B.-G.; data curation, J.A.B.-B. and E.M.-Z.; writing—original draft preparation, M.R.-S., O.M.-C., A.L.-R. and E.M.-Z.; writing—review and editing, X.T., M.H., J.G.-E. and V.B.-G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was evaluated and approved by the Local Health Research Committee (601) of the Mexican Institute of Social Security (approval no.: R-2020-601-022).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

We would like to thank the Mexican Institute of Social Security for its valuable support in carrying out this research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Murillo-Zamora, E.; Trujillo, X.; Huerta, M.; Rios-Silva, M.; Guzman-Esquivel, J.; Benites-Godinez, V.; Mendoza-Cano, O. Survival in Influenza Virus-Related Pneumonia by Viral Subtype: 2016–2020. Int. J. Infect. Dis. 2021, 112, 288–293. [Google Scholar] [CrossRef] [PubMed]
  2. Liu, P.; Xu, M.; Lu, L.; Ma, A.; Cao, L.; Su, L.; Dong, N.; Jia, R.; Zhu, X.; Xu, J. The Changing Pattern of Common Respiratory and Enteric Viruses among Outpatient Children in Shanghai, China: Two Years of the COVID-19 Pandemic. J. Med. Virol. 2022, 94, 4696–4703. [Google Scholar] [CrossRef]
  3. Qi, Y.; Shaman, J.; Pei, S. Quantifying the Impact of Covid-19 Nonpharmaceutical Interventions on Influenza Transmission in the United States. J. Infect. Dis. 2021, 224, 1500–1508. [Google Scholar] [CrossRef]
  4. Government of Mexico. Comprehensive Report on COVID-19 in Mexico (Number 08-2022). Available online: https://epidemiologia.salud.gob.mx/gobmx/salud/documentos/covid19/info-08-22-int_covid-19.pdf (accessed on 3 September 2022).
  5. Cao, Y.; Wang, J.; Jian, F.; Xiao, T.; Song, W.; Yisimayi, A.; Huang, W.; Li, Q.; Wang, P.; An, R.; et al. Omicron Escapes the Majority of Existing SARS-CoV-2 Neutralizing Antibodies. Nature 2022, 602, 657–663. [Google Scholar] [CrossRef] [PubMed]
  6. General Directorate of Epidemiology of Mexico. Genomic Surveillance Report of the SARS-CoV-2 Virus in Mexico, National and State Distribution of Variants as of 4 April 2022. Available online: https://coronavirus.gob.mx/wp-content/uploads/2022/04/2022.04.04-varientes-covid-mx.pdf (accessed on 28 August 2022).
  7. Fernandes-Matano, L.; Monroy-Munoz, I.E.; Bermudez de Leon, M.; Leal-Herrera, Y.A.; Palomec-Nava, Y.D.; Ruiz-Pacheco, J.A.; Escobedo-Guajardo, B.L.; Marin-Budip, C.; Santacruz-Tinoco, C.E.; Gonzalez-Ibarra, J.; et al. Analysis of Influenza Data Generated by Four Epidemiological Surveillance Laboratories in Mexico, 2010–2016. Epidemiol. Infect. 2019, 147, e183. [Google Scholar] [CrossRef]
  8. Lu, Y.; Wang, Y.; Shen, C.; Luo, J.; Yu, W. Decreased Incidence of Influenza During the COVID-19 Pandemic. Int. J. Gen. Med. 2022, 15, 2957–2962. [Google Scholar] [CrossRef] [PubMed]
  9. Murillo-Zamora, E.; Guzman-Esquivel, J.; Sanchez-Pina, R.A.; Cedeno-Laurent, G.; Delgado-Enciso, I.; Mendoza-Cano, O. Physical Distancing Reduced the Incidence of Influenza and Supports a Favorable Impact on SARS-CoV-2 Spread in Mexico. J. Infect. Dev. Ctries. 2020, 14, 953–956. [Google Scholar] [CrossRef]
  10. Yeoh, D.K.; Foley, D.A.; Minney-Smith, C.A.; Martin, A.C.; Mace, A.O.; Sikazwe, C.T.; Le, H.; Levy, A.; Blyth, C.C.; Moore, H.C. Impact of Coronavirus Disease 2019 Public Health Measures on Detections of Influenza and Respiratory Syncytial Virus in Children during the 2020 Australian Winter. Clin. Infect. Dis. 2021, 72, 2199–2202. [Google Scholar] [CrossRef]
  11. Suarez, V.; Suarez Quezada, M.; Oros Ruiz, S.; Ronquillo de Jesus, E. Epidemiology of COVID-19 in Mexico: From the 27th of February to the 30th of April 2020. Rev. Clin. Esp. 2020, 220, 463–471. [Google Scholar] [CrossRef] [PubMed]
  12. Moncion, K.; Young, K.; Tunis, M.; Rempel, S.; Stirling, R.; Zhao, L. Effectiveness of Hand Hygiene Practices in Preventing Influenza Virus Infection in the Community Setting: A Systematic Review. Can. Commun. Dis. Rep. 2019, 45, 12–23. [Google Scholar] [CrossRef]
  13. Wagatsuma, K.; Koolhof, I.S.; Saito, R. Was the Reduction in Seasonal Influenza Transmission during 2020 Attributable to Non-Pharmaceutical Interventions to Contain Coronavirus Disease 2019 (COVID-19) in Japan? Viruses 2022, 14, 1417. [Google Scholar] [CrossRef] [PubMed]
  14. Kuehn, B.M. Influenza Vaccination Increased during the COVID-19 Pandemic. JAMA 2021, 326, 2465. [Google Scholar] [CrossRef]
  15. Menni, C.; Valdes, A.M.; Polidori, L.; Antonelli, M.; Penamakuri, S.; Nogal, A.; Louca, P.; May, A.; Figueiredo, J.C.; Hu, C.; et al. Symptom Prevalence, Duration, and Risk of Hospital Admission in Individuals Infected with Sars-Cov-2 during Periods of Omicron and Delta Variant Dominance: A Prospective Observational Study from the Zoe Covid Study. Lancet 2022, 399, 1618–1624. [Google Scholar] [CrossRef]
  16. Lai, S.; Ruktanonchai, N.W.; Zhou, L.; Prosper, O.; Luo, W.; Floyd, J.R.; Wesolowski, A.; Santillana, M.; Zhang, C.; Du, X.; et al. Effect of Non-Pharmaceutical Interventions to Contain COVID-19 in China. Nature 2020, 585, 410–413. [Google Scholar] [CrossRef]
  17. Flaxman, S.; Mishra, S.; Gandy, A.; Unwin, H.J.T.; Mellan, T.A.; Coupland, H.; Whittaker, C.; Zhu, H.; Berah, T.; Eaton, J.W.; et al. Estimating the Effects of Non-Pharmaceutical Interventions on Covid-19 in Europe. Nature 2020, 584, 257–261. [Google Scholar] [CrossRef]
  18. Merced-Morales, A.; Daly, P.; Abd Elal, A.I.; Ajayi, N.; Annan, E.; Budd, A.; Barnes, J.; Colon, A.; Cummings, C.N.; Iuliano, A.D.; et al. Influenza Activity and Composition of the 2022–2023 Influenza Vaccine—United States, 2021–2022 Season. MMWR Morb. Mortal. Wkly. Rep. 2022, 71, 913–919. [Google Scholar] [CrossRef]
  19. Ruiz-Matus, C.; Kuri-Morales, P.; Narro-Robles, J. Behavior of Influenza Seasons in Mexico from 2010 to 2016: Analysis and Prospective. Gac. Med. Mex. 2017, 153, 205–213. [Google Scholar] [PubMed]
  20. Pan American Health Organization. Regional Update, Influenza. Epidemiological Week 37 (28 September 2022). Available online: https://iris.paho.org/handle/10665.2/56485 (accessed on 8 October 2022).
  21. Centers for Disease Control and Prevention. 2020–2021 Flu Season Summary. Available online: https://www.cdc.gov/flu/season/faq-flu-season-2020-2021.htm#anchor_1627000307956 (accessed on 3 September 2022).
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