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Analysis of influenza epidemics in northern China during 2018-2021 and exploration of early diagnosis on influenza B (preprint)
researchsquare; 2023.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2786591.v1
ABSTRACT

Background:

Research on the impacts of COVID-19 towards influenza and the early diagnosis of influenza B is limited. This study aimed to analyze the impacts of COVID-19 pandemic on influenza epidemics in northern China and explore the early-diagnosis indicators of influenza B.

Methods:

1. Data of influenza-like illness (ILI) and influenza virological surveillance in northern China during 2018-2021 winter influenza season were collected to analyze the impacts of COVID-19 pandemic on influenza epidemics.  2. Clinical characteristics of 38 influenza B positive patients and 38 influenza B negative patients confirmed during 2021 winter influenza season were retrospectively observed. Clinical symptoms and blood routine indicators of both groups were compared and analyzed.

Results:

1. During 2020 and 2021 winter influenza season, ILI% and influenza virus positive rate in northern China were both lower than those in 2018 and 2019, with the influenza B (Victoria) dominating.  2. Compared with influenza B negative group, the systemic symptoms in influenza B positive group were significantly increased. The value of white blood cell, neutrophils%, C-reactive protein and serum amyloid A in influenza B positive group were significantly lower than those in negative group, while the lymphocytes% and monocytes% were higher than those in negative group and both could be regarded as the diagnostic indicators of influenza B.

Conclusions:

Influenza epidemics were greatly reduced during COVID-19 pandemic, with influenza B rebounding from 2021, and continuous surveillance is still needed. Both clinical features and blood routine indicators can be helpful towards the early diagnosis on influenza B.
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Full text: Available Collection: Preprints Database: PREPRINT-RESEARCHSQUARE Main subject: COVID-19 Language: English Year: 2023 Document Type: Preprint

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Full text: Available Collection: Preprints Database: PREPRINT-RESEARCHSQUARE Main subject: COVID-19 Language: English Year: 2023 Document Type: Preprint