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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Main Authors: Yan Ma, Guillaume Vigouroux, Zahra Kalantari, Romain Goldenberg, Georgia Destouni
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/18/6786
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spelling doaj-8fa69b7012344cde89a83cd3ea54c3572020-11-25T02:54:31ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012020-09-01176786678610.3390/ijerph17186786Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across SwedenYan Ma0Guillaume Vigouroux1Zahra Kalantari2Romain Goldenberg3Georgia Destouni4Department of Physical Geography, Stockholm University, 106 91 Stockholm, SwedenDepartment of Physical Geography, Stockholm University, 106 91 Stockholm, SwedenDepartment of Physical Geography, Stockholm University, 106 91 Stockholm, SwedenDepartment of Physical Geography, Stockholm University, 106 91 Stockholm, SwedenDepartment of Physical Geography, Stockholm University, 106 91 Stockholm, SwedenHydroclimatic 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<sup>−2</sup>), medium (4.5 Wm<sup>−2</sup>), and high (8.5 Wm<sup>−2</sup>) 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.https://www.mdpi.com/1660-4601/17/18/6786hydroclimatic changeinfectious diseasetularemiaCMIP6 projectionshigh-risk sitesSweden
collection DOAJ
language English
format Article
sources DOAJ
author Yan Ma
Guillaume Vigouroux
Zahra Kalantari
Romain Goldenberg
Georgia Destouni
spellingShingle Yan Ma
Guillaume Vigouroux
Zahra Kalantari
Romain Goldenberg
Georgia Destouni
Implications of Projected Hydroclimatic Change for Tularemia Outbreaks in High-Risk Areas across Sweden
International Journal of Environmental Research and Public Health
hydroclimatic change
infectious disease
tularemia
CMIP6 projections
high-risk sites
Sweden
author_facet Yan Ma
Guillaume Vigouroux
Zahra Kalantari
Romain Goldenberg
Georgia Destouni
author_sort Yan Ma
title 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_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_sort implications of projected hydroclimatic change for tularemia outbreaks in high-risk areas across sweden
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1661-7827
1660-4601
publishDate 2020-09-01
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<sup>−2</sup>), medium (4.5 Wm<sup>−2</sup>), and high (8.5 Wm<sup>−2</sup>) 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.
topic hydroclimatic change
infectious disease
tularemia
CMIP6 projections
high-risk sites
Sweden
url https://www.mdpi.com/1660-4601/17/18/6786
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