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Potential drivers of human tick-borne encephalitis in the Örebro region of Sweden, 2010-2021
Section for Animal Welfare and Disease Control, Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.
Örebro University, School of Medical Sciences.ORCID iD: 0000-0003-3962-2141
Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden; Division of Clinical Microbiology, Department of Laboratory Medicine, Region Jönköping County, Jönköping, Sweden.
Örebro University, School of Medical Sciences.ORCID iD: 0000-0003-4442-8503
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2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 7685Article in journal (Refereed) Published
Abstract [en]

Incidence of tick-borne encephalitis (TBE) has increased during the last years in Scandinavia, but the underlying mechanism is not understood. TBE human case data reported between 2010 and 2021 were aggregated into postal codes within Örebro County, south-central Sweden, along with tick abundance and environmental data to analyse spatial patterns and identify drivers of TBE. We identified a substantial and continuing increase of TBE incidence in Örebro County during the study period. Spatial cluster analyses showed significant hotspots (higher number of cases than expected) in the southern and northern parts of Örebro County, whereas a cold spot (lower number of cases than expected) was found in the central part comprising Örebro municipality. Generalised linear models showed that the risk of acquiring TBE increased by 12.5% and 72.3% for every percent increase in relative humidity and proportion of wetland forest, respectively, whereas the risk decreased by 52.8% for every degree Celsius increase in annual temperature range. However, models had relatively low goodness of fit (R2 < 0.27). Results suggest that TBE in Örebro County is spatially clustered, however variables used in this study, i.e., climatic variables, forest cover, water, tick abundance, sheep as indicator species, alone do not explain this pattern.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 13, no 1, article id 7685
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:oru:diva-105919DOI: 10.1038/s41598-023-34675-xISI: 000987903400050PubMedID: 37169798Scopus ID: 2-s2.0-85159174625OAI: oai:DiVA.org:oru-105919DiVA, id: diva2:1756471
Funder
Swedish Research Council Formas, 2016-01400Knowledge Foundation, 20190091 20200063European CommissionMedical Research Council of Southeast Sweden (FORSS), 38-2-7-19Region Jönköping County
Note

Funding agencies:

Interreg North Sea Region Programme 2014-2020 as part of the NorthTick project

Stiftelsen Marie-Claire Cronstedts minne

Swedish University of Agricultural Sciences

Available from: 2023-05-12 Created: 2023-05-12 Last updated: 2023-09-05Bibliographically approved

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Johansson, MagnusAsghar, NaveedRasmussen, Gunlög

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