Temporal Shifting of Influenza Subtype Dynamics in Pakistan Following the COVID‐19 Pandemic: A 10‐Year FluNet Analysis, 2015–2024

BACKGROUND: The COVID-19 pandemic and associated nonpharmaceutical interventions caused unprecedented suppression of influenza circulation globally. Pakistan, with its high population density and evolving surveillance capacity, lacks long-term data on post-COVID-19 influenza patterns, essential for guiding vaccine policy. METHODS: We extracted weekly virological data for Pakistan from the WHO FluNet platform (January 1, 2015, to December 31, 2024). The study period was divided into pre-COVID-19 (2015-2019), COVID-19 disruption (2020-2021), and post-COVID-19 (2022-2024) phases. Outcomes included type A versus B proportion, subtype distribution (A[H1N1]pdm09 vs. A[H3]), positivity, peak intensity, and season duration (weeks with positivity ≥ 10%). Statistical comparisons used chi-square for subtype distribution and Kruskal-Wallis for peak intensity. RESULTS: We analyzed 6522 positive specimens from 79,484 tested (10,781 pre-COVID-19; 14,687 during COVID-19 disruption; 54,016 post-COVID-19). Influenza A declined from 94.2% to 71.7% then rose to 77.5%; influenza B increased from 5.7% to 28.3%, remaining at 22.5% (p < 0.001). A(H3) dominated during the COVID-19 disruption (98.8%); A(H1N1)pdm09 regained dominance post-COVID-19 (58.8%), though A(H3) remained higher than pre-COVID-19 (41.2% vs. 33.3%). Peak intensity differed (p = 0.047): pre-COVID-19 33.3%-67.6%; COVID-19 disruption 14.0%-17.6%; and post-COVID-19 19.8%-37.8%. Season duration was 1 week in 2020 and 3 non-consecutive weeks in 2021, versus 10-16 weeks pre-COVID-19, recovering to 7-13 weeks post-COVID-19. CONCLUSION: The COVID-19 pandemic induced a lasting shift in Pakistan's influenza epidemiology, with persistently elevated influenza B and reshaped A subtype balance. These findings are consistent with the global disappearance of B/Yamagata and support consideration of trivalent vaccine formulations, though antigenic and genetic data remain necessary to confirm vaccine match.

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Journal
Influenza and Other Respiratory Viruses
Published
2026-11-01
DOI
https://doi.org/10.1111/irv.70341
Primary Topic
Influenza Virus Research Studies
Type
article
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0.00
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article

Temporal Shifting of Influenza Subtype Dynamics in Pakistan Following the COVID‐19 Pandemic: A 10‐Year FluNet Analysis, 2015–2024

Aliza Tariq, Hussnain Ali, Ahmar Jan Qureshi, Muhammad Riyyan Tariq Tagga et al.
Influenza and Other Respiratory Viruses
Influenza Virus Research Studies
article

Temporal Shifting of Influenza Subtype Dynamics in Pakistan Following the COVID‐19 Pandemic: A 10‐Year FluNet Analysis, 2015–2024

Aliza Tariq, Hussnain Ali, Ahmar Jan Qureshi, Muhammad Riyyan Tariq Tagga, Modibo Yattassaye
article en

Abstract

BACKGROUND: The COVID-19 pandemic and associated nonpharmaceutical interventions caused unprecedented suppression of influenza circulation globally. Pakistan, with its high population density and evolving surveillance capacity, lacks long-term data on post-COVID-19 influenza patterns, essential for guiding vaccine policy. METHODS: We extracted weekly virological data for Pakistan from the WHO FluNet platform (January 1, 2015, to December 31, 2024). The study period was divided into pre-COVID-19 (2015-2019), COVID-19 disruption (2020-2021), and post-COVID-19 (2022-2024) phases. Outcomes included type A versus B proportion, subtype distribution (A[H1N1]pdm09 vs. A[H3]), positivity, peak intensity, and season duration (weeks with positivity ≥ 10%). Statistical comparisons used chi-square for subtype distribution and Kruskal-Wallis for peak intensity. RESULTS: We analyzed 6522 positive specimens from 79,484 tested (10,781 pre-COVID-19; 14,687 during COVID-19 disruption; 54,016 post-COVID-19). Influenza A declined from 94.2% to 71.7% then rose to 77.5%; influenza B increased from 5.7% to 28.3%, remaining at 22.5% (p < 0.001). A(H3) dominated during the COVID-19 disruption (98.8%); A(H1N1)pdm09 regained dominance post-COVID-19 (58.8%), though A(H3) remained higher than pre-COVID-19 (41.2% vs. 33.3%). Peak intensity differed (p = 0.047): pre-COVID-19 33.3%-67.6%; COVID-19 disruption 14.0%-17.6%; and post-COVID-19 19.8%-37.8%. Season duration was 1 week in 2020 and 3 non-consecutive weeks in 2021, versus 10-16 weeks pre-COVID-19, recovering to 7-13 weeks post-COVID-19. CONCLUSION: The COVID-19 pandemic induced a lasting shift in Pakistan's influenza epidemiology, with persistently elevated influenza B and reshaped A subtype balance. These findings are consistent with the global disappearance of B/Yamagata and support consideration of trivalent vaccine formulations, though antigenic and genetic data remain necessary to confirm vaccine match.

Influenza and Other Respiratory VirusesVol. 20(11)
University of Douala (CM), CMH Multan Institute of Medical Sciences (PK)
Openalex Percentile: Top 12%
Influenza Virus Research Studies
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