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Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden

Hydroclimatic change may affect the range of some infectious diseases, including tularemia. Previous studies have investigated associations between tularemia incidence and climate variables, with some also establishing quantitative statistical disease models based on historical data, but studies con...

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Autores principales: Ma, Yan, Vigouroux, Guillaume, Kalantari, Zahra, Goldenberg, Romain, Destouni, Georgia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558863/
https://www.ncbi.nlm.nih.gov/pubmed/32957641
http://dx.doi.org/10.3390/ijerph17186786
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author Ma, Yan
Vigouroux, Guillaume
Kalantari, Zahra
Goldenberg, Romain
Destouni, Georgia
author_facet Ma, Yan
Vigouroux, Guillaume
Kalantari, Zahra
Goldenberg, Romain
Destouni, Georgia
author_sort Ma, Yan
collection PubMed
description Hydroclimatic change may affect the range of some infectious diseases, including tularemia. Previous studies have investigated associations between tularemia incidence and climate variables, with some also establishing quantitative statistical disease models based on historical data, but studies considering future climate projections are scarce. This study has used and combined hydro-climatic projection outputs from multiple global climate models (GCMs) in phase six of the Coupled Model Intercomparison Project (CMIP6), and site-specific, parameterized statistical tularemia models, which all imply some type of power-law scaling with preceding-year tularemia cases, to assess possible future trends in disease outbreaks for six counties across Sweden, known to include tularemia high-risk areas. Three radiative forcing (emissions) scenarios are considered for climate change projection until year 2100, incuding low (2.6 Wm(−2)), medium (4.5 Wm(−2)), and high (8.5 Wm(−2)) forcing. The results show highly divergent changes in future disease outbreaks among Swedish counties, depending primarily on site-specific type of the best-fit disease power-law scaling characteristics of (mostly positive, in one case negative) sub- or super-linearity. Results also show that scenarios of steeper future climate warming do not necessarily lead to steeper increase of future disease outbreaks. Along a latitudinal gradient, the likely most realistic medium climate forcing scenario indicates future disease decreases (intermittent or overall) for the relatively southern Swedish counties Örebro and Gävleborg (Ockelbo), respectively, and disease increases of considerable or high degree for the intermediate (Dalarna, Gävleborg (Ljusdal)) and more northern (Jämtland, Norrbotten; along with the more southern Värmland exception) counties, respectively.
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spelling pubmed-75588632020-10-26 Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden Ma, Yan Vigouroux, Guillaume Kalantari, Zahra Goldenberg, Romain Destouni, Georgia Int J Environ Res Public Health Article Hydroclimatic change may affect the range of some infectious diseases, including tularemia. Previous studies have investigated associations between tularemia incidence and climate variables, with some also establishing quantitative statistical disease models based on historical data, but studies considering future climate projections are scarce. This study has used and combined hydro-climatic projection outputs from multiple global climate models (GCMs) in phase six of the Coupled Model Intercomparison Project (CMIP6), and site-specific, parameterized statistical tularemia models, which all imply some type of power-law scaling with preceding-year tularemia cases, to assess possible future trends in disease outbreaks for six counties across Sweden, known to include tularemia high-risk areas. Three radiative forcing (emissions) scenarios are considered for climate change projection until year 2100, incuding low (2.6 Wm(−2)), medium (4.5 Wm(−2)), and high (8.5 Wm(−2)) forcing. The results show highly divergent changes in future disease outbreaks among Swedish counties, depending primarily on site-specific type of the best-fit disease power-law scaling characteristics of (mostly positive, in one case negative) sub- or super-linearity. Results also show that scenarios of steeper future climate warming do not necessarily lead to steeper increase of future disease outbreaks. Along a latitudinal gradient, the likely most realistic medium climate forcing scenario indicates future disease decreases (intermittent or overall) for the relatively southern Swedish counties Örebro and Gävleborg (Ockelbo), respectively, and disease increases of considerable or high degree for the intermediate (Dalarna, Gävleborg (Ljusdal)) and more northern (Jämtland, Norrbotten; along with the more southern Värmland exception) counties, respectively. MDPI 2020-09-17 2020-09 /pmc/articles/PMC7558863/ /pubmed/32957641 http://dx.doi.org/10.3390/ijerph17186786 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ma, Yan
Vigouroux, Guillaume
Kalantari, Zahra
Goldenberg, Romain
Destouni, Georgia
Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden
title Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden
title_full Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden
title_fullStr Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden
title_full_unstemmed Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden
title_short Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden
title_sort implications of projected hydroclimatic change for tularemia outbreaks in high-risk areas across sweden
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558863/
https://www.ncbi.nlm.nih.gov/pubmed/32957641
http://dx.doi.org/10.3390/ijerph17186786
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