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A Method for Screening Climate Change-Sensitive Infectious Diseases

Climate change is a significant and emerging threat to human health, especially where infectious diseases are involved. Because of the complex interactions between climate variables and infectious disease components (i.e., pathogen, host and transmission environment), systematically and quantitative...

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Detalles Bibliográficos
Autores principales: Wang, Yunjing, Rao, Yuhan, Wu, Xiaoxu, Zhao, Hainan, Chen, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306891/
https://www.ncbi.nlm.nih.gov/pubmed/25594780
http://dx.doi.org/10.3390/ijerph120100767
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author Wang, Yunjing
Rao, Yuhan
Wu, Xiaoxu
Zhao, Hainan
Chen, Jin
author_facet Wang, Yunjing
Rao, Yuhan
Wu, Xiaoxu
Zhao, Hainan
Chen, Jin
author_sort Wang, Yunjing
collection PubMed
description Climate change is a significant and emerging threat to human health, especially where infectious diseases are involved. Because of the complex interactions between climate variables and infectious disease components (i.e., pathogen, host and transmission environment), systematically and quantitatively screening for infectious diseases that are sensitive to climate change is still a challenge. To address this challenge, we propose a new statistical indicator, Relative Sensitivity, to identify the difference between the sensitivity of the infectious disease to climate variables for two different climate statuses (i.e., historical climate and present climate) in non-exposure and exposure groups. The case study in Anhui Province, China has demonstrated the effectiveness of this Relative Sensitivity indicator. The application results indicate significant sensitivity of many epidemic infectious diseases to climate change in the form of changing climatic variables, such as temperature, precipitation and absolute humidity. As novel evidence, this research shows that absolute humidity has a critical influence on many observed infectious diseases in Anhui Province, including dysentery, hand, foot and mouth disease, hepatitis A, hemorrhagic fever, typhoid fever, malaria, meningitis, influenza and schistosomiasis. Moreover, some infectious diseases are more sensitive to climate change in rural areas than in urban areas. This insight provides guidance for future health inputs that consider spatial variability in response to climate change.
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spelling pubmed-43068912015-02-02 A Method for Screening Climate Change-Sensitive Infectious Diseases Wang, Yunjing Rao, Yuhan Wu, Xiaoxu Zhao, Hainan Chen, Jin Int J Environ Res Public Health Article Climate change is a significant and emerging threat to human health, especially where infectious diseases are involved. Because of the complex interactions between climate variables and infectious disease components (i.e., pathogen, host and transmission environment), systematically and quantitatively screening for infectious diseases that are sensitive to climate change is still a challenge. To address this challenge, we propose a new statistical indicator, Relative Sensitivity, to identify the difference between the sensitivity of the infectious disease to climate variables for two different climate statuses (i.e., historical climate and present climate) in non-exposure and exposure groups. The case study in Anhui Province, China has demonstrated the effectiveness of this Relative Sensitivity indicator. The application results indicate significant sensitivity of many epidemic infectious diseases to climate change in the form of changing climatic variables, such as temperature, precipitation and absolute humidity. As novel evidence, this research shows that absolute humidity has a critical influence on many observed infectious diseases in Anhui Province, including dysentery, hand, foot and mouth disease, hepatitis A, hemorrhagic fever, typhoid fever, malaria, meningitis, influenza and schistosomiasis. Moreover, some infectious diseases are more sensitive to climate change in rural areas than in urban areas. This insight provides guidance for future health inputs that consider spatial variability in response to climate change. MDPI 2015-01-14 2015-01 /pmc/articles/PMC4306891/ /pubmed/25594780 http://dx.doi.org/10.3390/ijerph120100767 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Yunjing
Rao, Yuhan
Wu, Xiaoxu
Zhao, Hainan
Chen, Jin
A Method for Screening Climate Change-Sensitive Infectious Diseases
title A Method for Screening Climate Change-Sensitive Infectious Diseases
title_full A Method for Screening Climate Change-Sensitive Infectious Diseases
title_fullStr A Method for Screening Climate Change-Sensitive Infectious Diseases
title_full_unstemmed A Method for Screening Climate Change-Sensitive Infectious Diseases
title_short A Method for Screening Climate Change-Sensitive Infectious Diseases
title_sort method for screening climate change-sensitive infectious diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306891/
https://www.ncbi.nlm.nih.gov/pubmed/25594780
http://dx.doi.org/10.3390/ijerph120100767
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