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Forecasting of Influenza Activity and Associated Hospital Admission Burden and Estimating the Impact of COVID-19 Pandemic on 2019/20 Winter Season in Hong Kong

38 Pages Posted: 1 Dec 2023

See all articles by Yiu-Chung Lau

Yiu-Chung Lau

The University of Hong Kong

Songwei Shan

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Dong Wang

The University of Hong Kong

Dongxuan Chen

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Zhanwei Du

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Eric H.Y. Lau

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Daihai He

Hong Kong Polytechnic University - Department of Applied Mathematics

Linwei Tian

The University of Hong Kong - School of Public Health

Peng Wu

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Benjamin J. Cowling

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

Sheikh Taslim Ali

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control

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Abstract

Background: Like other tropical and subtropical regions, influenza viruses can circulate year-round in Hong Kong. However, during the COVID-19 pandemic, there was a significant decrease in influenza activity. The objective of this study was to forecast influenza activity during the year 2020 and assess the impact of COVID-19 public health social measures (PHSMs) on influenza activity and hospital admissions in Hong Kong.

Methods: Using weekly surveillance data on influenza virus activity in Hong Kong from 2010 to 2019, we developed a statistical modeling framework to forecast influenza virus activity and associated hospital admissions. We conducted short-term forecasts (1-4 weeks ahead) and medium-term forecasts (1-13 weeks ahead) for the year 2020, assuming no PHSMs were implemented against COVID-19. We estimated the reduction in transmissibility, peak magnitude, attack rates, and influenza-associated hospitalization rate resulting from these PHSMs.

Findings: For short-term forecasts, mean ambient ozone concentration and school holidays were found to contribute to better prediction performance, while absolute humidity and ozone concentration improved the accuracy of medium-term forecasts. We observed a maximum reduction of 46·7% (95% CrI: 38·0% - 53·8%) in transmissibility, 75·4% (95% CI: 73·0% - 77·3%) in attack rate, 40·6% (95% CI: 17·2% - 53·7%) in peak magnitude, and 58·7% (95% CI: 55·2% - 61·6%) in cumulative influenza-associated hospitalizations during the winter-spring period of the 2019/2020 season in Hong Kong.

Interpretation: The implementation of PHSMs to control COVID-19 had a substantial impact on influenza transmission and associated burden in Hong Kong. Incorporating information on factors influencing influenza transmission improved the accuracy of our predictions.

Funding: Health and Medical Research Fund, Hong Kong

Declaration of Interest: BJC received honoraria from AstraZeneca, Fosun Pharma, GSK, Haleon, Moderna, Novavax, Pfizer, Roche, and Sanofi. The authors report no other potential conflicts of interest.

Suggested Citation

Lau, Yiu-Chung and Shan, Songwei and Wang, Dong and Chen, Dongxuan and Du, Zhanwei and Lau, Eric H.Y. and He, Daihai and Tian, Linwei and Wu, Peng and Cowling, Benjamin J. and Ali, Sheikh Taslim, Forecasting of Influenza Activity and Associated Hospital Admission Burden and Estimating the Impact of COVID-19 Pandemic on 2019/20 Winter Season in Hong Kong. Available at SSRN: https://ssrn.com/abstract=4646744 or http://dx.doi.org/10.2139/ssrn.4646744

Yiu-Chung Lau

The University of Hong Kong ( email )

Pokfulam Road
Hong Kong, HK
China

Songwei Shan

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

Hong Kong
China

Dong Wang

The University of Hong Kong ( email )

Pokfulam Road
Hong Kong, HK
China

Dongxuan Chen

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

Hong Kong
China

Zhanwei Du

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

Hong Kong
China

Eric H.Y. Lau

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

Hong Kong
China

Daihai He

Hong Kong Polytechnic University - Department of Applied Mathematics ( email )

Hong Kong
China

Linwei Tian

The University of Hong Kong - School of Public Health ( email )

Hong Kong, Pokfulam
China

Peng Wu

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

Hong Kong
China

Benjamin J. Cowling (Contact Author)

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

7 Sassoon Road
Hong Kong
China
+852 3917 6711 (Phone)

Sheikh Taslim Ali

The University of Hong Kong - WHO Collaborating Centre for Infectious Disease Epidemiology and Control ( email )

Hong Kong
China

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