{"id":19903,"date":"2022-10-21T17:28:30","date_gmt":"2022-10-21T09:28:30","guid":{"rendered":"https:\/\/tbenews.com\/tbe\/?p=19903"},"modified":"2022-10-24T12:35:44","modified_gmt":"2022-10-24T04:35:44","slug":"snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany","status":"publish","type":"post","link":"https:\/\/tbenews.com\/tbe\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\/","title":{"rendered":"Snapshot week 43\/2022
Analyses of TBE microfoci in Germany"},"content":{"rendered":"\n

Borde et al.
Decoding the geography of natural TBEV microfoci in Germany: A geostatistical approach based on land-use patterns and climatological conditions.
Int J Environ Res Public Health<\/em>. 2022;19(18):11830. doi:10.3390\/ijerph191811830<\/p>\n\n\n\n

There have been several published models to elucidate factors that contribute to the infection rate of humans in a given TBE endemic area. Among these prediction models are factors like weather conditions, population dynamics of rodents, beech mast, land use, etc.<\/p>\n\n\n\n

TBE virus is not homogenously distributed throughout questing ticks across all locations but is detected in defined areas of about 1 ha, which are commonly termed microfocus. The goal of a recently published project was to analyze potential uniform geographic patterns of identified microfoci in Germany, and a total of 56 confirmed microfoci were included in this study, in which characteristics of environmental variables were compared with control comparators.<\/p>\n\n\n\n

In TBE microfoci, land-use types like vineyards, coniferous and mixed forest were overrepresented, while types like discontinuous urban fabric, non-irrigated arable land, pastures and broad-leaved forests were overrepresented at the control sampling points. Among climatological variables, multi-annual sunshine duration, multi-annual minimum temperature, multi-annual hot days and multi-annual actual evapotranspiration may control the presence or absence of microfoci. The highest predicted probability for the presence of TBE virus was calculated for the federal states of Bavaria and Baden-Wuerttemberg.<\/p>\n\n\n\n

The current model may enable public health care authorities to anticipate where new TBE microfoci and potential consecutive infections will appear, and the current risk classification of the Robert Koch Institut (Berlin) based on notification data may be complemented with biological factors and findings presented here.<\/p>\n<\/span>","protected":false},"excerpt":{"rendered":"

Borde et al.Decoding the geography of natural TBEV microfoci in Germany: A geostatistical approach based on land-use patterns and climatological conditions.Int J Environ Res Public Health. 2022;19(18):11830. doi:10.3390\/ijerph191811830 There have been several published models to elucidate factors that contribute to the infection rate of humans in a given TBE endemic area. Among these prediction models are factors like weather conditions, population dynamics of rodents, beech mast, land use, etc. TBE virus is not homogenously distributed throughout questing ticks across all locations but is detected in defined areas of about 1 ha, which are commonly termed microfocus. The goal of a recently published project was to analyze potential uniform geographic patterns of identified microfoci in Germany, and a total of 56 confirmed microfoci were included in this study, in which characteristics of environmental variables were compared with control comparators. In TBE microfoci, land-use types like vineyards, coniferous and mixed forest were overrepresented, while types like discontinuous urban fabric, non-irrigated arable land, pastures and broad-leaved forests were overrepresented at the control sampling points. Among climatological variables, multi-annual sunshine duration, multi-annual minimum temperature, multi-annual hot days and multi-annual actual evapotranspiration may control the presence or absence of microfoci. The highest predicted probability for the presence of TBE virus was calculated for the federal states of Bavaria and Baden-Wuerttemberg. The current model may enable public health care authorities to anticipate where new TBE microfoci and potential consecutive infections will appear, and the current risk classification of the Robert Koch Institut (Berlin) based on notification data may be complemented with biological factors and findings presented here.<\/p>\n","protected":false},"author":1354,"featured_media":12864,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[18],"tags":[943,942,945,944],"coauthors":[581],"class_list":["post-19903","post","type-post","status-publish","format-standard","has-post-thumbnail","category-snapshot","tag-climatological-data","tag-environmental-variables","tag-land-use-pattern","tag-microfocus"],"yoast_head":"\nSnapshot week 43\/2022 Analyses of TBE microfoci in Germany - TBE Book<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tbenews.com\/tbe\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Snapshot week 43\/2022 Analyses of TBE microfoci in Germany - TBE Book\" \/>\n<meta property=\"og:description\" content=\"Borde et al.Decoding the geography of natural TBEV microfoci in Germany: A geostatistical approach based on land-use patterns and climatological conditions.Int J Environ Res Public Health. 2022;19(18):11830. doi:10.3390\/ijerph191811830 There have been several published models to elucidate factors that contribute to the infection rate of humans in a given TBE endemic area. Among these prediction models are factors like weather conditions, population dynamics of rodents, beech mast, land use, etc. TBE virus is not homogenously distributed throughout questing ticks across all locations but is detected in defined areas of about 1 ha, which are commonly termed microfocus. The goal of a recently published project was to analyze potential uniform geographic patterns of identified microfoci in Germany, and a total of 56 confirmed microfoci were included in this study, in which characteristics of environmental variables were compared with control comparators. In TBE microfoci, land-use types like vineyards, coniferous and mixed forest were overrepresented, while types like discontinuous urban fabric, non-irrigated arable land, pastures and broad-leaved forests were overrepresented at the control sampling points. Among climatological variables, multi-annual sunshine duration, multi-annual minimum temperature, multi-annual hot days and multi-annual actual evapotranspiration may control the presence or absence of microfoci. The highest predicted probability for the presence of TBE virus was calculated for the federal states of Bavaria and Baden-Wuerttemberg. The current model may enable public health care authorities to anticipate where new TBE microfoci and potential consecutive infections will appear, and the current risk classification of the Robert Koch Institut (Berlin) based on notification data may be complemented with biological factors and findings presented here.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/tbenews.com\/tbe\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\/\" \/>\n<meta property=\"og:site_name\" content=\"TBE Book\" \/>\n<meta property=\"article:published_time\" content=\"2022-10-21T09:28:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-10-24T04:35:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/tbenews.com\/tbe\/wp-content\/uploads\/2017\/11\/TBE-Snapshots.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1180\" \/>\n\t<meta property=\"og:image:height\" content=\"250\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Shaqeez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Shaqeez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\\\/\"},\"author\":{\"name\":\"Shaqeez\",\"@id\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/#\\\/schema\\\/person\\\/2bc2ab1f56f93257537a0ce8de903224\"},\"headline\":\"Snapshot week 43\\\/2022 Analyses of TBE microfoci in Germany\",\"datePublished\":\"2022-10-21T09:28:30+00:00\",\"dateModified\":\"2022-10-24T04:35:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\\\/\"},\"wordCount\":269,\"publisher\":{\"@id\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/wp-content\\\/uploads\\\/2017\\\/11\\\/TBE-Snapshots.jpg\",\"keywords\":[\"climatological data\",\"environmental variables\",\"land-use pattern\",\"Microfocus\"],\"articleSection\":[\"Snapshot\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\\\/\",\"url\":\"https:\\\/\\\/tbenews.com\\\/tbe\\\/snapshot-week-43-2022-analyses-of-tbe-microfoci-in-germany\\\/\",\"name\":\"Snapshot week 43\\\/2022 Analyses of TBE microfoci in Germany - 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