Journal of Mosquito Research 2024, Vol.14, No.4, 184-194 http://emtoscipublisher.com/index.php/jmr 186 stakeholder coordination and information sharing to protect against vector-borne diseases (VBDs). Additionally, the global response to the Zika virus epidemic highlighted the need for united global action and data sharing to prevent future epidemics (Moutinho et al., 2022). 3.2 Current data sharing platforms and initiatives Several platforms and initiatives have been established to promote data sharing in MBD research (Pezzi et al., 2019). These include global databases and collaborative networks that facilitate the exchange of information among researchers, public health officials, and policymakers. For example, the WHO archives and other databases like PubMed and Google Scholar are commonly used for data sharing and literature searches (Fambirai et al., 2022). Furthermore, research grant organizations and journal publishers play a significant role in promoting data sharing by formulating and implementing policies that encourage the dissemination of research data (Figure 1) (Carney et al., 2022). Figure 1 Mosquito Alert reports and risk model (Adopted from Carney et al., 2022) Image caption: (A) Reporting dynamics and sequence of key outreach events in the EU 2021 Mosquito Alert Campaign for Italy (IT), Serbia (RS), Hungary (HU), the Netherlands (NL), and Italy (IT). The success of the Netherlands outreach campaign raised the cumulative number of reports from 5000 to more than 25,000 reports, most of them occurring in a couple of weeks. (B) Time series area plot showing the total number of reports over time from the 10 countries with the highest number of reports in 2021. (C) Schematic of data layers used to derive Aedes albopictus risk maps. Maps are based on a set of ensemble models that combine Mosquito Alert citizen science data (top) with data from traditional adult mosquito traps and AI-driven smart traps—and also include data on weather, land cover, and sociodemographic characteristics (not shown)—to calculate the vector risk index (VRI) and project it onto a street map layer (bottom). The VRI is a measure of relative risk of human contact with Aedes albopictus, shown here for Barcelona, Spain, on 8 (D) and 15 (E) September 2021 (Adopted from Carney et al., 2022) Carney et al. (2022) found that targeted outreach campaigns significantly increased the number of mosquito reports in various European countries, particularly in the Netherlands, where reports surged dramatically in a short period. The study highlights the effectiveness of combining citizen science with advanced data modeling to assess and predict the risk of Aedes albopictus mosquito encounters. By integrating data from traditional traps, AI-driven smart traps, and environmental factors, researchers were able to generate dynamic risk maps, as demonstrated for Barcelona, Spain. These maps provide valuable insights for public health interventions by identifying areas with
RkJQdWJsaXNoZXIy MjQ4ODY0NQ==