Back

Defining influenza epidemic zones through temporal clustering of global surveillance data

Hassell, N.; Marcenac, P.; Bationo, C. S.; Hirve, S.; Tempia, S.; Rolfes, M. A.; Duca, L. M.; Hammond, A.; Wijesinghe, P. R.; Heraud, J.-M.; Pereyaslov, D.; Zhang, W.; Kondor, R. J.; Azziz-Baumgartner, E.

2026-04-25 public and global health
10.64898/2026.04.17.26351048 medRxiv
Show abstract

Introduction: Modeling when influenza epidemics typically occur can help countries optimize surveillance, time clinical and public health interventions, and reduce the burden of influenza. Methods: We used influenza virus detections reported during 2011-2024 by 180 countries to the Global Influenza Surveillance and Response System, excluding COVID-19 pandemic impacted years (2020-2023). We analyzed data by calendar year (week 1-52) or shifted year (week 30-29) time windows, based on when most influenza detections occurred in each country. For countries with sufficient data, we computed generalized additive models (GAMs) of each country's weekly influenza-positive tests to smooth and impute time series distributions. From these GAMs, we calculated each country's normalized weekly influenza burden. Country-specific normalized time series were grouped using hierarchical k-means clustering reducing the Euclidean distance between time series within clusters. We calculated cluster-specific GAMs to estimate average seasonal timing. Countries without sufficient data were assigned to a cluster based on population-weighted latitudinal distance to a cluster's mean latitude. Results: We identified five clusters, or epidemic zones, from 111 countries with sufficient data. The influenza burden in epidemic zones A and B was consistent with a northern hemisphere pattern, with most influenza detections occurring during October-April (A) and September-March (B), while epidemic zones D and E were characterized by southern hemisphere-like seasonal timing, with most influenza burden occurring during May-November. Epidemic zone C had most influenza burden occurring during September-March; most countries assigned to this cluster were in the tropics. Conclusion: Epidemic zones may serve as a useful tool to strengthen and optimize influenza surveillance for global health decision-making (e.g., during vaccine strain composition discussions) and to guide country preparedness efforts for seasonal influenza epidemics, including the timing of enhanced surveillance, as well as the procurement and delivery of vaccines and antivirals.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Medical Internet Research
85 papers in training set
Top 0.1%
22.1%
2
Influenza and Other Respiratory Viruses
44 papers in training set
Top 0.1%
9.0%
3
BMC Infectious Diseases
118 papers in training set
Top 0.4%
6.2%
4
BMC Medicine
163 papers in training set
Top 0.8%
4.8%
5
PLOS ONE
4510 papers in training set
Top 34%
4.2%
6
Vaccine
189 papers in training set
Top 0.7%
4.1%
50% of probability mass above
7
Clinical Infectious Diseases
231 papers in training set
Top 2%
3.5%
8
Scientific Reports
3102 papers in training set
Top 42%
3.0%
9
The Journal of Infectious Diseases
182 papers in training set
Top 1%
3.0%
10
Frontiers in Public Health
140 papers in training set
Top 3%
2.7%
11
JMIR Public Health and Surveillance
45 papers in training set
Top 1%
2.3%
12
PLOS Computational Biology
1633 papers in training set
Top 14%
2.0%
13
International Journal of Epidemiology
74 papers in training set
Top 1%
2.0%
14
Wellcome Open Research
57 papers in training set
Top 0.7%
1.9%
15
International Journal of Infectious Diseases
126 papers in training set
Top 2%
1.7%
16
PLOS Global Public Health
293 papers in training set
Top 4%
1.5%
17
BMC Public Health
147 papers in training set
Top 4%
1.5%
18
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 3%
1.3%
19
BMJ Global Health
98 papers in training set
Top 2%
1.2%
20
American Journal of Epidemiology
57 papers in training set
Top 1%
0.9%
21
Travel Medicine and Infectious Disease
15 papers in training set
Top 0.5%
0.9%
22
EClinicalMedicine
21 papers in training set
Top 0.9%
0.8%
23
eBioMedicine
130 papers in training set
Top 4%
0.7%
24
Open Forum Infectious Diseases
134 papers in training set
Top 3%
0.7%
25
BMJ Open
554 papers in training set
Top 13%
0.7%
26
American Journal of Preventive Medicine
11 papers in training set
Top 0.7%
0.6%
27
Infectious Diseases of Poverty
10 papers in training set
Top 0.5%
0.6%
28
Vaccine: X
19 papers in training set
Top 0.4%
0.6%
29
The Lancet Public Health
20 papers in training set
Top 0.8%
0.6%