Literature DB >> 32331805

Echoes of 2009 H1N1 Influenza Pandemic in the COVID Pandemic.

Ravi Jhaveri1.   

Abstract

The severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV2) pandemic that has engulfed the globe has had incredible effects on health care systems and economic activity. Social distancing and school closures have played a central role in public health efforts to counter the coronavirus disease 2019 (COVID)-19 pandemic. The most recent global pandemic prior to COVID-19 was the 2009 pandemic, hemagglutinin type 1 and neuraminidase type 1 (H1N1) influenza. The course of events in 2009 offer some rich lessons that could be applied to the current COVID-19 pandemic. This commentary highlights some of the most relevant points and a discussion of possible outcomes of the COVID-19 pandemic.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  2009 pandemic H1N1; COVID; SARS-CoV2; influenza; school closures; social distancing

Mesh:

Year:  2020        PMID: 32331805      PMCID: PMC7151342          DOI: 10.1016/j.clinthera.2020.04.003

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


Introduction

The global outbreak of the severe acute respiratory syndrome–related coronavirus-2 (SARS-CoV2) and associated coronavirus disease 2019 (COVID)-19 has crippled major health care systems and economies in a way that no one could have imagined. At the time of this writing, waves of infected people are being identified across North America and Europe, with concerns about explosive growth in developing countries, such as India. , Moving quickly from the containment phase, in which widespread testing and isolation of infected people was attempted, countries around the world implemented unprecedented school closures and social distancing. After China was the epicenter of the outbreak, these measures appear to have helped China slow the spread of COVID-19 infections. There is evidence that social distancing and school and group facility closings seem to also be working in parts of the United States that were impacted earliest by COVID and that responded with early implementation and enforcement. It is important to highlight the “ripple effects” that school closures have on a community: children at home means parents missing work; after-school programs are closed; sports and recreational activities are canceled; teachers and educational staff are out of work; school-based lunch and food programs are impacted. It is also important to note that school closures without simultaneous social distancing means that children gather in parks, libraries, and other facilities and could still transmit to each other and fuel spread in the community. At the time of this writing, much of the debate around social distancing has focused on how long these measures need to be implemented and what should be expected in terms of new cases once social distancing recommendations are lifted. , Many of these questions were posed back in 2009, when the pandemic of infection with the hemagglutinin type 1 and neuraminidase type 1 (H1N1) influenza strain emerged to cause similar global disruption, albeit with less severe clinical illness. The purposes of this commentary were to review the events of the 2009 H1N1 influenza pandemic emergence, to examine how only limited school closures with minimal social distancing were implemented, and to offer a discussion about the likelihood of subsequent waves of COVID cases once these measures lapse.

Emergence of 2009 H1N1 Influenza Pandemic

Beyond its rapid global spread and disproportionate impact on children, young adults, and pregnant women, the timing of the emergence of the 2009 H1N1 influenza virus pandemic created significant challenges to the response. During a typical influenza season (eg, 2015–2016), activity starts in late November and December, peaks in January and February, and tapers off by March and April (Fig. 1 , part A). In sharp contrast, the onset of the 2009 H1N1 pandemic came in late March, with many respiratory illnesses being reported in Mexico and then spreading to the United States and other parts of the world over the next several weeks (Fig. 1, part B).9, 10, 11 The onset of infections in early spring caused several school-based outbreaks in New York City and other areas. Individual schools did close, but early cases never matched the explosive spread of the current COVID-19 pandemic. Because of the focused geographic activity of 2009 H1N1 and because schools would be adjourning for summer break, national school closures were never seriously considered. While social distancing was discussed as part of a general public health strategy for managing a pandemic, no specific measures were put into place.
Figure 1

Influenza circulation in a typical season and in 2009–2010. A, In a typical season (this example is 2015–2016), influenza starts to circulate in late November and December, reaches peak activity in January and February, and then tapers off by late April. B, The onset of the 2009 H1N1 pandemic came in March, with an early peak coming in May. Activity declined over the summer with school adjournment, but never fully disappeared. In late August with schools reopening, virus activity reached an even higher fall peak. After widespread infections, influenza activity dropped by negligible activity after December, with few infections during the usual peak months of January and February. One will also notice that the case counts and percentages of positive tests in 2009–2010 were ~5-fold those seen in a normal season. Source: Centers for Disease Control and Prevention. Reproduced from CDC graphs.

Influenza circulation in a typical season and in 2009–2010. A, In a typical season (this example is 2015–2016), influenza starts to circulate in late November and December, reaches peak activity in January and February, and then tapers off by late April. B, The onset of the 2009 H1N1 pandemic came in March, with an early peak coming in May. Activity declined over the summer with school adjournment, but never fully disappeared. In late August with schools reopening, virus activity reached an even higher fall peak. After widespread infections, influenza activity dropped by negligible activity after December, with few infections during the usual peak months of January and February. One will also notice that the case counts and percentages of positive tests in 2009–2010 were ~5-fold those seen in a normal season. Source: Centers for Disease Control and Prevention. Reproduced from CDC graphs. The other issue with emerging in late March was that the pandemic occurred almost 2 months after global decisions about strain selection for the 2009–2010 seasonal influenza vaccines were made. A pandemic vaccine would need to have been prepared in parallel to the seasonal vaccine, with a lag of about 2 months, assuming no delays. No other community-based preventive measures were put into place beyond the accelerated pace of trying to produce a pandemic vaccine. Over the summer of 2009, H1N1 cases continued to be identified in the United States, but spread was more modest. The southern hemisphere did experience an influenza season within their conventional months that was dominated by 2009 pandemic H1N1 activity. In the United States, when schools reopened in late August and early September, there was a surge of new infections (Fig. 1, part B). As one can see in the Fig. 1, with the timing of school reopenings and frequent close contact of children as vectors for influenza transmission, the second wave of cases peaked at a level far beyond the initial spring peak. A study showed that school closures instituted in the fall had no impact on transmission. New infections continued until November and early December before tapering off. The irony of the situation was that the massive efforts were put forth to create an H1N1 vaccine, but the initial strains did not grow well, and vaccine production was delayed by several weeks. By the time a vaccine was available in November and early December, the pool of susceptible children had likely been depleted and peak activity had long since passed.

Lessons from 2009 that Are Relevant to the COVID-19 Public Health Response

It is important to acknowledge major differences between the circumstances of the 2009 H1N1 influenza pandemic and the current COVID-19 pandemic. First, a global influenza pandemic was a known commodity, something the international community had experienced in the past and expected to return in the future. While the initial SARS-CoV outbreak in 2003 temporarily grabbed the world's attention, it petered out within a few months, never to return. Therefore, this SARS-CoV2 virus was not an outbreak that the world had anticipated, which has hampered the rapid response required for better containment. Second, because influenza is a global and consistent seasonal health problem, there is an established infrastructure for surveillance, prevention, and treatment that can be applied to any new pandemic strain. Public health officials know they can collaborate with industry partners to create a vaccine within a few months, and indeed this did happen in 2009, albeit too late to impact the second wave of cases. There is no existing vaccine or treatment infrastructure for coronavirus, so all candidates must start with Phase I studies or the rapidly conducted, but highly flawed, open-label treatment studies that are being rapidly published and disseminated. , Assuming no major adverse events, good efficacy, and easy Phase I and II testing, it will be at least a year before a vaccine candidate would be ready for use in the general population. Last, varying levels of influenza immunity exist in the community and help to limit the spread and severity of circulating strains. For example, in the 2009 H1N1 pandemic, the elderly were relatively protected because they had archived immunity to H1N1 epitopes after having been exposed to the similar 1918 strain earlier in life. Aside from those already infected with SARS-CoV2, the entire population is naïve and at risk for infection. While it is possible that there may be some degree of cross-protection with other coronaviruses, the rapid spread of SARS-CoV2 suggests otherwise. With all that being said, there are still important lessons that can be drawn from the 2009 H1N1 pandemic experience. The first are the expected effects of social distancing and a potential second wave of cases. Schools did not close initially in 2009 due to summer being near at hand. The influenza surveillance data from the Centers for Disease Control and Prevention (Fig. 1, part B) demonstrated that there was ongoing person-to-person transmission during the summer, when typically there is no detectable activity. Once widespread close contact in schools was reestablished, children with H1N1 infected other children, who subsequently spread influenza to adult contacts, and influenza cases surged. Once the fall peak of cases was underway, school closures implemented at that time had no impact on transmission or total flu cases. Data from the 1918 pandemic suggest that US cities that instituted social distancing and school closures earlier and for a longer period of time had fewer overall cases and better economic outcomes in the long term. , It is very likely that once social distancing measures are lifted for COVID-19, and school or summer activities resume, there will be a second wave of cases. This second wave has already been seen in Hong Kong. Given how immune-naïve the population is to this virus, and given how SARS-CoV2 has proven to be much more contagious than seasonal influenza, a second wave of cases is a virtual certainty. , The goal of social distancing is to blunt the first wave and allow the medical system time to manage cases without being overwhelmed. Over time, with widespread testing and prompt diagnosis, social distancing could transition to a more targeted cohorting of infected persons and “cocooning” isolation of highly susceptible people, such as the elderly and those with chronic respiratory and/or cardiovascular conditions. Sadly, it appears that the social distancing and school closures were implemented too late and in too regional a fashion to allow for optimal containment.

Conclusions

The 2009 H1N1 pandemic experience offers a detailed example of what is likely to happen if social distancing or school closures are lifted too soon in the current COVID-19 epidemic. These actions would likely invite a severe second wave of infections. The lessons are there for those who wish to heed them.

Disclosures

The author has indicated that he has no conflicts of interest with regard to the content of this article.
  11 in total

1.  Structural basis of preexisting immunity to the 2009 H1N1 pandemic influenza virus.

Authors:  Rui Xu; Damian C Ekiert; Jens C Krause; Rong Hai; James E Crowe; Ian A Wilson
Journal:  Science       Date:  2010-03-25       Impact factor: 47.728

2.  The signature features of influenza pandemics--implications for policy.

Authors:  Mark A Miller; Cecile Viboud; Marta Balinska; Lone Simonsen
Journal:  N Engl J Med       Date:  2009-05-07       Impact factor: 91.245

3.  Update: infections with a swine-origin influenza A (H1N1) virus--United States and other countries, April 28, 2009.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2009-05-01       Impact factor: 17.586

4.  The effect of reactive school closure on community influenza-like illness counts in the state of Michigan during the 2009 H1N1 pandemic.

Authors:  Brian M Davis; Howard Markel; Alex Navarro; Eden Wells; Arnold S Monto; Allison E Aiello
Journal:  Clin Infect Dis       Date:  2015-04-20       Impact factor: 9.079

Review 5.  The reproductive number of COVID-19 is higher compared to SARS coronavirus.

Authors:  Ying Liu; Albert A Gayle; Annelies Wilder-Smith; Joacim Rocklöv
Journal:  J Travel Med       Date:  2020-03-13       Impact factor: 8.490

6.  Update: novel influenza A (H1N1) virus infections - worldwide, May 6, 2009.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2009-05-08       Impact factor: 17.586

Review 7.  Estimates of the reproduction number for seasonal, pandemic, and zoonotic influenza: a systematic review of the literature.

Authors:  Matthew Biggerstaff; Simon Cauchemez; Carrie Reed; Manoj Gambhir; Lyn Finelli
Journal:  BMC Infect Dis       Date:  2014-09-04       Impact factor: 3.090

8.  How will country-based mitigation measures influence the course of the COVID-19 epidemic?

Authors:  Roy M Anderson; Hans Heesterbeek; Don Klinkenberg; T Déirdre Hollingsworth
Journal:  Lancet       Date:  2020-03-09       Impact factor: 79.321

9.  Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial.

Authors:  Philippe Gautret; Jean-Christophe Lagier; Philippe Parola; Van Thuan Hoang; Line Meddeb; Morgane Mailhe; Barbara Doudier; Johan Courjon; Valérie Giordanengo; Vera Esteves Vieira; Hervé Tissot Dupont; Stéphane Honoré; Philippe Colson; Eric Chabrière; Bernard La Scola; Jean-Marc Rolain; Philippe Brouqui; Didier Raoult
Journal:  Int J Antimicrob Agents       Date:  2020-03-20       Impact factor: 5.283

10.  A Trial of Lopinavir-Ritonavir in Adults Hospitalized with Severe Covid-19.

Authors:  Bin Cao; Yeming Wang; Danning Wen; Wen Liu; Jingli Wang; Guohui Fan; Lianguo Ruan; Bin Song; Yanping Cai; Ming Wei; Xingwang Li; Jiaan Xia; Nanshan Chen; Jie Xiang; Ting Yu; Tao Bai; Xuelei Xie; Li Zhang; Caihong Li; Ye Yuan; Hua Chen; Huadong Li; Hanping Huang; Shengjing Tu; Fengyun Gong; Ying Liu; Yuan Wei; Chongya Dong; Fei Zhou; Xiaoying Gu; Jiuyang Xu; Zhibo Liu; Yi Zhang; Hui Li; Lianhan Shang; Ke Wang; Kunxia Li; Xia Zhou; Xuan Dong; Zhaohui Qu; Sixia Lu; Xujuan Hu; Shunan Ruan; Shanshan Luo; Jing Wu; Lu Peng; Fang Cheng; Lihong Pan; Jun Zou; Chunmin Jia; Juan Wang; Xia Liu; Shuzhen Wang; Xudong Wu; Qin Ge; Jing He; Haiyan Zhan; Fang Qiu; Li Guo; Chaolin Huang; Thomas Jaki; Frederick G Hayden; Peter W Horby; Dingyu Zhang; Chen Wang
Journal:  N Engl J Med       Date:  2020-03-18       Impact factor: 91.245

View more
  5 in total

1.  Infectivity versus fatality of SARS-CoV-2 mutations and influenza.

Authors:  Ling Xue; Shuanglin Jing; Kai Zhang; Russell Milne; Hao Wang
Journal:  Int J Infect Dis       Date:  2022-05-15       Impact factor: 12.074

2.  Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings.

Authors:  Germán Corredor; Paula Toro; Kaustav Bera; Dylan Rasmussen; Vidya Sankar Viswanathan; Christina Buzzy; Pingfu Fu; Lisa M Barton; Edana Stroberg; Eric Duval; Hannah Gilmore; Sanjay Mukhopadhyay; Anant Madabhushi
Journal:  J Med Imaging (Bellingham)       Date:  2021-07-13

Review 3.  Comparative review of respiratory diseases caused by coronaviruses and influenza A viruses during epidemic season.

Authors:  Chao Jiang; Xingang Yao; Yulin Zhao; Jianmin Wu; Pan Huang; Chunhua Pan; Shuwen Liu; Chungen Pan
Journal:  Microbes Infect       Date:  2020-05-13       Impact factor: 2.700

4.  Paediatric prehospital emergencies and restrictions during the COVID-19 pandemic: a population-based study.

Authors:  Jelena Oulasvirta; Jussi Pirneskoski; Heini Harve-Rytsälä; Mitja Lääperi; Mikael Kuitunen; Markku Kuisma; Heli Salmi
Journal:  BMJ Paediatr Open       Date:  2020-11-02

Review 5.  First contact: the role of respiratory cilia in host-pathogen interactions in the airways.

Authors:  Li Eon Kuek; Robert J Lee
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2020-08-12       Impact factor: 5.464

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.