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Preparing for Coming RSV, Influenza Epidemics

  • January 17, 2023
  • Chaos
  • News
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Large populations are susceptible to respiratory diseases because of COVID-19 intervention policies but reinstating nonpharmaceutical interventions at the correct time can help slow the spread.

From the Journal: Chaos

The number of severely infected cases after relaxing COVID measures in Hong Kong. Credit: Qingpeng Zhang
The number of severely infected cases after relaxing COVID measures in Hong Kong. Credit: Qingpeng Zhang

WASHINGTON, Jan. 17, 2023 – Governments around the world used a variety of techniques known as nonpharmaceutical interventions, or NPIs, to control the spread of COVID-19. These NPIs include mandated mask-wearing, social distancing, closures of schools and businesses, and restrictions on travel.

The use of NPIs slowed the spread of other infectious diseases as well, such as influenza and respiratory syncytial virus, RSV. Now, as NPIs are lifted, countries are seeing a resurgence in several respiratory diseases.

In Chaos, by AIP Publishing, scientists from Guangdong Second Provincial General Hospital, City University of Hong Kong, Central South University, University of North Carolina Project-China, Chinese Academy of Sciences, and University of Chinese Academy of Sciences describe a threshold control method, TCM, that can be used to predict the best time to lift NPIs without overwhelming the hospital systems when these other respiratory diseases inevitably surge back.

When NPIs are used to control COVID, they also produce an increase in people who are susceptible to infectious respiratory diseases. Vaccines are available for influenza, but the only way for people to develop immunity to RSV and other respiratory diseases is through infection.

The investigators used data from Hong Kong to develop their model since it has a comprehensive dedicated system to monitor infectious diseases. Data from 2014-21 for respiratory illnesses other than COVID-19 were used to construct the TCM model. The illnesses studied include RSV, rhinovirus/enterovirus, adenovirus, influenza A and B, and parainfluenza.

The investigators added a control period of 130 weeks to their simulation to account for the stretch of time that NPI measures were in place to combat COVID. NPI measures all but eliminated other respiratory illnesses in the Hong Kong population, a feature that was confirmed by simulations with the model.

Lifting the NPIs was expected to lead to a rebound in all these diseases.

“We observed resurgences of all five respiratory infectious diseases at staggered peak times,” author Qingpeng Zhang said. “We also identified four critical thresholds for reemploying NPIs that will ensure a sufficient supply of hospital beds.”

The investigators found that reintroducing NPI measures when a threshold of 600 severe cases is reached could ensure that the hospital system in Hong Kong is not overwhelmed by severely infected patients.

“Without the TCM approach, there will be two waves of respiratory infectious disease outbreaks exceeding the capacity of the hospital system in Hong Kong in 2023 and 2024,” Zhang said. “By implementing strict, or even mild, TCM measures before 600 hospital beds are filled, the rebound of respiratory infectious diseases other than COVID can be fully suppressed to a level that is safe for hospitals.”

The investigators noted that most of the available literature on post-COVID resurgence is focused on flu and RSV, but other diseases are also expected to rebound, and governments need to prepare for several epidemics in the next few years.

Rebound of respiratory infectious diseases (RIDs) after relaxing COVID restrictions. Credit: Qingpeng Zhang
Rebound of respiratory infectious diseases (RIDs) after relaxing COVID restrictions. Credit: Qingpeng Zhang

###

Article Title

Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong

Authors

Weibin Cheng, Hanchu Zhou, Yang Ye, Yifan Chen, Fengshi Jing, Zhidong Cao, Daniel Dajun Zeng and Qingpeng Zhang

Author Affiliations

Guangdong Second Provincial General Hospital, City University of Hong Kong, Central South University, University of North Carolina Project-China, Chinese Academy of Sciences, and University of Chinese Academy of Sciences


Chaos

Chaos is devoted to increasing the understanding of nonlinear phenomena in all disciplines and describing their manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.

http://chaos.aip.org

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