Yayınlanmış 1 Ocak 2024 | Sürüm v1
Dergi makalesi Açık

Evaluating climate-dependent distribution of orthohantaviruses with monitoring wild rodents: <i>One Health Perspective</i>

  • 1. Univ Helsinki, Fac Med, Dept Virol Med, Helsinki, Finland
  • 2. Acibadem Mehmet Ali Aydinlar Univ, Fac Med, Dept Med Microbiol, Istanbul, Turkiye
  • 3. Balikesir Univ, Sci & Technol Applicat & Res Ctr, Balikesir, Turkiye
  • 4. Zonguldak Bulent Ecevit Univ, Fac Arts & Sci, Dept Biol, Zonguldak, Turkiye
  • 5. Ege Univ, Fac Letters, Dept Geog, Izmir, Turkiye
  • 6. Dokuz Eylul Univ, Fac Sci, Dept Biol, Izmir, Turkiye
  • 7. Dokuz Eylul Univ, Dept Med Microbiol, Inst Hlth Sci, Izmir, Turkiye

Açıklama

Orthohantaviruses, cause hemorrhagic fever with renal syndrome, nephropathia epidemica, and hantavirus pulmonary syndrome, are major public health problems all over the world. Wild rodent surveillance for orthohantaviruses is of great importance for the preparedness against these human infections and the prediction of possible outbreak regions. Thus, we aimed to screen orthohantaviruses in wild rodents in Southern Anatolia, where the area has some of the glacial period refugia in the Mediterranean Basin, and interpret their current epidemiology with climatic biovariables in comparison with previously positive regions. We trapped muroid rodents between 2015 and 2017, and screened for orthohantaviruses. Then, we evaluated the relationship between orthohantavirus infections and bioclimatic variables. In spite of the long-term and seasonal sampling, we found no evidence for Orthohantavirus infections. The probable absence of orthohantaviruses in the sampling area was further evaluated from the climatic perspective, and results led us suggest that Orthohantavirus epidemiology might be relatively dependent on precipitation levels in driest and warmest quarters, and temperature fluctuations. These initial data might provide necessary perspective on wild rodent surveillance for orthohantaviruses in other regions, and help to collect lacking data for a such habitat suitability study in a bigger scale in the future.

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