Back

Modelling serological cross-reactivity to disentangle the dynamics of West Nile and Usutu viruses in an emerging area

Bastard, J.; Migne, C.; Helle, T.; Agneray, E.; Bigeard, C.; Boudjadi, Y.; Chevrier, M.; Dumarest, M.; Gondard, M.; Martin-Latil, S.; Mathews-Martin, L.; Petit, T.; Charpentier, T.; Pouillevet, H.; Durand, B.; Metras, R.; Gonzalez, G.

2026-04-17 epidemiology
10.64898/2026.04.07.26350295 medRxiv
Show abstract

Zoos may serve as sentinel sites for zoonotic vector-borne diseases. West Nile virus (WNV) and Usutu virus (USUV) are closely related orthoflaviviruses transmitted between Culex mosquitoes and a bird reservoir. Both viruses can also infect mammals, including humans, where they may cause symptoms and, more rarely, hospitalization and death. However, serological cross-reactivity between WNV and USUV complicates their differential diagnosis. Here, we aimed to reconstruct the dynamics of emergence of WNV in a zoo located in a newly affected area in Europe, using ELISA and Virus Neutralization Test (VNT) serological analysis of 1707 animal sera collected between 2015 and 2024. Combining this data in a model accounting for cross-reactivity with USUV, we estimated yearly forces of infection (FOI) by both viruses, and thus found that WNV likely circulated in the area one year prior to the first cases reported to the passive surveillance system. Our results also showed that, in the zoo, mammals and reptiles had a lower risk of infection than birds (relative risk of 0.14 [0.05; 0.28]), and that the exposure of birds to water (aquatic lifestyle or proximity to stagnant water) affected the risk. Finally, we estimated diagnosis parameters, including the sensitivity of the VNT (80.4% [76.5%; 84.3%]), the expected VNT titer value, and the level of serological cross-reactivity between viruses during the VNT. To conclude, our modelling framework allowed to disentangle the co-circulation of two closely related viruses, a crucial point in ensuring the reliable sentinel surveillance of these vector-borne zoonotic pathogens.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
One Health
29 papers in training set
Top 0.1%
12.2%
2
PLOS Neglected Tropical Diseases
378 papers in training set
Top 1%
10.0%
3
Transboundary and Emerging Diseases
34 papers in training set
Top 0.1%
7.1%
4
Ticks and Tick-borne Diseases
11 papers in training set
Top 0.1%
6.8%
5
Viruses
318 papers in training set
Top 0.9%
6.3%
6
Eurosurveillance
80 papers in training set
Top 0.1%
6.3%
7
Epidemics
104 papers in training set
Top 0.7%
2.3%
50% of probability mass above
8
Emerging Microbes & Infections
74 papers in training set
Top 0.6%
2.1%
9
Nature Communications
4913 papers in training set
Top 49%
1.9%
10
Scientific Reports
3102 papers in training set
Top 56%
1.8%
11
Emerging Infectious Diseases
103 papers in training set
Top 1%
1.8%
12
Pathogens
53 papers in training set
Top 0.5%
1.8%
13
PLOS Computational Biology
1633 papers in training set
Top 16%
1.7%
14
Travel Medicine and Infectious Disease
15 papers in training set
Top 0.2%
1.7%
15
Peer Community Journal
254 papers in training set
Top 2%
1.7%
16
Virus Evolution
140 papers in training set
Top 0.9%
1.5%
17
Journal of Infection
71 papers in training set
Top 2%
1.3%
18
BMC Infectious Diseases
118 papers in training set
Top 4%
1.3%
19
Epidemiology and Infection
84 papers in training set
Top 2%
1.2%
20
PLOS Biology
408 papers in training set
Top 14%
1.2%
21
PLOS ONE
4510 papers in training set
Top 62%
1.1%
22
Journal of Travel Medicine
18 papers in training set
Top 0.2%
0.9%
23
PLOS Pathogens
721 papers in training set
Top 7%
0.9%
24
The Lancet Microbe
43 papers in training set
Top 1%
0.9%
25
Parasites & Vectors
57 papers in training set
Top 1%
0.8%
26
eLife
5422 papers in training set
Top 56%
0.8%
27
Clinical Infectious Diseases
231 papers in training set
Top 4%
0.8%
28
Infectious Disease Modelling
50 papers in training set
Top 1%
0.7%
29
The Lancet Infectious Diseases
71 papers in training set
Top 3%
0.7%
30
International Journal of Infectious Diseases
126 papers in training set
Top 4%
0.7%