The tick-borne pathogen Powassan virus is a rare cause of encephalitis in North America and the Russian Far East. The number of documented cases described since the discovery of Powassan virus in 1958 may be <150, although detection of cases has increased over the past decade.

Some filoviruses can be transmitted to humans by zoonotic spillover events from their natural host and filovirus outbreaks have occured with increasing frequency in the last years. The filovirus Lloviu virus (LLOV), was identified in 2002 in Schreiber’s bats (Miniopterus schreibersii) in Spain and was subsequently detected in bats in Hungary. Here we isolate infectious LLOV from the blood of a live sampled Schreiber’s bat in Hungary. The isolate is subsequently sequenced and cultured in the Miniopterus sp. kidney cell line SuBK12-08. It is furthermore able to infect monkey and human cells, suggesting that LLOV might have spillover potential. A multi-year surveillance of LLOV in bats in Hungary detects LLOV RNA in both deceased and live animals as well as in coupled ectoparasites from the families Nycteribiidae and Ixodidae. This correlates with LLOV seropositivity in sampled Schreiber’s bats. Our data support the role of bats, specifically Miniopterus schreibersii as hosts for LLOV in Europe. We suggest that bat-associated parasites might play a role in the natural ecology of filoviruses in temperate climate regions compared to filoviruses in the tropics.

Background: Bat-borne viruses pose a potential risk to human health and are the focus of increasing scientific interest. To start gaining information about bat-transmitted viruses in Hungary, we tested multiple bat species for several virus groups between 2012 and 2013. Fecal samples were collected from bats across Hungary. We performed group-specific RT-PCR screening for astro-, calici-, corona-, lyssa-, othoreo-, paramyxo-, and rotaviruses. Positive samples were selected and sequenced for further phylogenetic analyses. A total of 447 fecal samples, representing 24 European bat species were tested. Novel strains of astroviruses, coronaviruses, and caliciviruses were detected and analyzed phylogenetically. Out of the 447 tested samples, 40 (9%) bats were positive for at least one virus. Bat-transmitted astroviruses (BtAstV) were detected in eight species with a 6.93% detection rate (95% confidence interval [CI] 4.854, 9.571). Coronaviruses (BtCoV) were detected in seven bat species with a detection rate of 1.79% (95% CI 0.849, 3.348), whereas novel caliciviruses (BtCalV) were detected in three bat species with a detection rate of 0.67% (95% CI 0.189, 1.780). Phylogenetic analyses revealed a great diversity among astrovirus strains, whereas the Hungarian BtCoV strains clustered together with both alpha- and betacoronavirus strains from other European countries. One of the most intriguing findings of our investigation is the discovery of novel BtCalVs in Europe. The Hungarian BtCalV did not cluster with any of the calcivirus genera identified in the family so far. We have successfully confirmed BtCoVs in numerous bat species. Furthermore, we have described new bat species harboring BtAstVs in Europe and found new species of CalVs. Further long-term investigations involving more species are needed in the Central European region for a better understanding on the host specificity, seasonality, phylogenetic relationships, and the possible zoonotic potential of these newly described viruses.

The Mosquito Alert dataset includes occurrence records of adult mosquitoes collected worldwide in 2014–2020 through Mosquito Alert, a citizen science system for investigating and managing disease-carrying mosquitoes. Records are linked to citizen science-submitted photographs and validated by entomologists to determine the presence of five targeted European mosquito vectors: Aedes albopictus, Ae. aegypti, Ae. japonicus, Ae. koreicus, and Culex pipiens. Most records are from Spain, reflecting Spanish national and regional funding, but since autumn 2020 substantial records from other European countries are included, thanks to volunteer entomologists coordinated by the AIM-COST Action, and to technological developments to increase scalability. Among other applications, the Mosquito Alert dataset will help develop citizen science-based early warning systems for mosquito-borne disease risk. It can also be reused for modelling vector exposure risk, or to train machine-learning detection and classification routines on the linked images, to assist with data validation and establishing automated alert systems.