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4 wrz 2014 · R values for seasons where H3N2 (R = 1.25; IQR: 1.18–1.27) or H1N1 (R = 1.25; IQR: 1.18–1.35) predominated were equivalent (Table 5). Figure 5 Estimates of the reproduction number in the community for seasonal influenza epidemics according to location, wave of illness, and the serial interval or generation time assumed in the estimation method.
13 maj 2024 · Of the sub-typed influenza A viruses, 6275 (63.52%) were influenza A (H1N1)pdm09 and 3604 (36.48%) were influenza A (H3N2). Of the characterized B viruses, 0 (0.00%) belonged to the B-Yamagata lineage and 625 (100.00%) to the B-Victoria lineage. Source: Laboratory confirmed data from the Global Influenza Surveillance and Response System (GISRS).
4 wrz 2014 · Methods: We conducted a systematic review to summarize published estimates of R for pandemic or seasonal influenza and for novel influenza viruses (e.g. H5N1). We retained and summarized papers...
7 lip 2021 · To appropriately estimate the reproduction number from the influenza outbreak data, it is essential that the selected model capture the underlying dynamics embedded in the data. The objective of this study is to estimate the reproduction numbers based on the incidence data.
FluNet is a global web-based tool for influenza virological surveillance first launched in 1997. The virological data entered into FluNet, e.g. number of influenza viruses detected by subtype, are critical for tracking the movement of viruses globally and interpreting the epidemiological data.
5 lip 2021 · We used the first-reported date of influenza A(H1N1)pdm09 detection from the WHO FluNET database to determine start week of the pandemic in each study country.
Here, we use final size equations calculated from mathemat ical models36 to estimate the effective reproduction number from seroprevalence data for pandemic influenza H1N1. We compare these estimates with those estimated from pandemic outbreak data and investigate differences in the reproduction number with age. METHODS
