Budgeting and Planning, Enel Engineering and Innovation, S.p.A., 20121 Milan, Italy.
Int J Environ Res Public Health. 2012 May;9(5):1523-47. doi: 10.3390/ijerph9051523. Epub 2012 Apr 25.
In recent years there has been a large scientific and public debate on climate change and its direct as well as indirect effects on human health. In particular, a large amount of research on the effects of climate changes on human health has addressed two fundamental questions. First, can historical data be of some help in revealing how short-run or long-run climate variations affect the occurrence of infectious diseases? Second, is it possible to build more accurate quantitative models which are capable of predicting the future effects of different climate conditions on the transmissibility of particularly dangerous infectious diseases? The primary goal of this paper is to review the most relevant contributions which have directly tackled those questions, both with respect to the effects of climate changes on the diffusion of non-infectious and infectious diseases, with malaria as a case study. Specific attention will be drawn on the methodological aspects of each study, which will be classified according to the type of quantitative model considered, namely time series models, panel data and spatial models, and non-statistical approaches. Since many different disciplines and approaches are involved, a broader view is necessary in order to provide a better understanding of the interactions between climate and health. In this respect, our paper also presents a critical summary of the recent literature related to more general aspects of the impacts of climate changes on human health, such as: the economics of climate change; how to manage the health effects of climate change; the establishment of Early Warning Systems for infectious diseases.
近年来,科学界和公众就气候变化及其对人类健康的直接和间接影响展开了大量辩论。特别是,大量关于气候变化对人类健康影响的研究集中在两个基本问题上。首先,历史数据能否有助于揭示短期或长期气候变化如何影响传染病的发生?其次,是否有可能建立更精确的定量模型,能够预测不同气候条件对特定危险传染病传播性的未来影响?本文的主要目的是回顾直接解决这些问题的最相关研究成果,这些研究涉及气候变化对非传染性和传染性疾病(以疟疾为例)传播的影响。本文将特别关注每项研究的方法学方面,并根据所考虑的定量模型类型进行分类,即时间序列模型、面板数据和空间模型以及非统计方法。由于涉及到许多不同的学科和方法,因此需要更广阔的视角,以便更好地理解气候与健康之间的相互作用。在这方面,本文还批判性地总结了与气候变化对人类健康的更广泛影响相关的最新文献,例如:气候变化的经济学;如何管理气候变化对健康的影响;传染病早期预警系统的建立。