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Modelling West Nile virus transmission in Emilia-Romagna region (Italy): 2018 vs. previous seasons

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Modelling West Nile virus transmission in Emilia-Romagna

region (Italy): 2018 vs. previous seasons

Background

Emilia-Romagna region (Fig 1a, 4.46 million inhabitants) has a mosquito surveillance program based on weekly captures performed between June and October each year with CO2 baited traps located across the area (70 selected sites, grouped in 5 clusters) [1].

West Nile Virus (WNV) is present since 2013 with lineage 2.

In 2018, WNV was recorded earlier and in a higher fraction of mosquito pools (Fig 1 b-d).

Transmission resulted in 100 neuroinvasive human cases, more than the total number of cases recorded between 2013 and 2017.

We compared 2018 to previous seasons by modelling the WNV mosquito-bird transmission cycle (Fig 2).

Computational framework & models fit

Fig 3: Fit for 2018. Overall 96% of the number of weekly positive pools lie within the 95%CI. Fig 2: Computational framework. Models, based on [2, 3], are calibrated

through MCMC.

 Estimated maximum mosquito and avian prevalence for 2018 was up to more than three times the maximum of the

2013-2017 average.

 In some clusters the peak avian prevalence occurred earlier, followed by a steeper decline.

 Higher predicted risk for human transmission in 2018 (more than eight times higher than previous seasons in cluster D).

 Positive statistically significant correlation between avian and mosquito average prevalence in June and the average

April-May temperature (Fig 5).

 Spring was exceptionally warm in 2018 with respect to

previous years and it seems likely to have played a key role in amplifying WNV transmission at the beginning of the season.

Main findings

Fig 4: Comparison between 2018 (continuous lines) and averaged previous seasons (2013-2017, dashed lines, shaded areas represent the 95%CI of the averaged 2013-2017 seasons).

Fig 5: Estimated

average June mosquito and avian prevalence VS spring average

temperatures.

Conclusions

1. Calzolari M et al. West Nile Virus Surveillance in 2013 via Mosquito Screening in Northern Italy and the Influence of Weather on Virus Circulation. PLoS One. 2015;10(10):e0140915

2. Marini G et al. The effect of interspecific competition on the temporal dynamics of Aedes albopictus and Culex pipiens. Parasit Vectors. 2017;10(1):102.

3. Marini G et al. West Nile virus transmission and human infection risk in Veneto (Italy): a modelling analysis. Sci Rep. 2018;8(1):14005.

Bibliography

Giovanni Marini: [email protected]

Roberto Rosà: [email protected]

Giovanni Marini

1,2

, Mattia Calzolari

3

, Ilaria Dorigatti

4

, Birgit Nikolay

5

, Andrea Pugliese

6

, Marco Tamba

3

, Roberto Rosà

1,2,7

1. Department of Biodiversity and Molecular Ecology,

Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige (TN), Italy;

2. Epilab-JRU, FEM-FBK Joint Research Unit, Province of Trento, Italy;

3. Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “B. Ubertini”, Brescia, Italy;

4. MRC Centre for Global Infectious Disease Analysis,

Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom;

5. Institut Pasteur, Paris, France;

6. Department of Mathematics, University of Trento, Italy;

7. Center Agriculture Food Environment, University of Trento, San Michele all’Adige (TN), Italy.

This study was partially funded by the Autonomous Province of Trento. Fig 1: study area (a) and observed data (b-d).

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