ReviewCureus2025
Seasonality of Influenza and Optimizing Timing of Vaccination: Systematic Review and Meta-Analysis.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Temporal trends and burden of influenza B virus lineages in Dibrugarh, Assam (2014-2025): predominance of Victoria with early circulation of Yamagata.Archives of virology · 2026Article
- National expert consensus recommendations on influenza vaccination in Saudi Arabia (2025).Journal of family & community medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza continues to be a major global public health concern, with substantial regional variability in its seasonality and vaccine effectiveness. While temperate regions experience predictable winter peaks, tropical and subtropical countries exhibit complex patterns, including monsoon-related and year-round activity. This variability poses challenges to the current vaccination strategies, which are often guided by broad hemispheric recommendations rather than localized epidemiological data. This systematic review and meta-analysis aimed to assess global influenza seasonality, evaluate the timing of vaccination programs, and explore the impact of misalignment on vaccine effectiveness (VE), with a particular focus on India. We searched five databases (PubMed, Scopus, Medline, Google Scholar, and Cochrane Library), and a total of 32 studies were included in the qualitative synthesis, with 12 eligible for meta-analysis. The pooled VE across studies was 27.22% (95% CI: 17.36-37.08%), with significant heterogeneity (I² = 93.2%, p < 0.001). While modest, this level of protection still averts cases when coverage is high, and the marked heterogeneity (I² = 93.2%) signals that timing, age mix, and strain match substantially influence real-world impact. The quality of the included studies was assessed with the Cochrane Risk of Bias tool 2.0 and the Newcastle-Ottawa Scale. The meta-regression identified age and timing of vaccination as key contributors to variability in vaccine effectiveness. India exemplifies the challenge of heterogeneity within a single country. Northern regions such as Jammu and Kashmir display winter peaks (December-March), while central and eastern cities, including Delhi, Lucknow, and Kolkata, experience monsoon-season peaks (July-September), and South Indian cities such as Chennai and Vellore peak influenza activity during the late monsoon (October-November). However, influenza vaccination in India is delivered primarily through private sector providers, often beginning in April, and is not part of a centrally coordinated campaign, which may not align with regional peaks. This misalignment likely contributes to suboptimal VE in several regions. The findings underscore the urgent need to re-evaluate vaccination strategies globally and within India. Adoption of region-specific vaccination schedules - tailored to local influenza seasonality, evidence-informed, and supported by robust surveillance accounting for climate, geography, and population dynamics - could significantly enhance vaccine performance and reduce disease burden. This study is registered with PROSPERO, CRD42024611680.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.