绘制气候变化导致的流行病地图。

Frontiers in epidemiology Pub Date : 2025-07-29 eCollection Date: 2025-01-01 DOI:10.3389/fepid.2025.1605058
Allyson Murray, Anna Ignaszak
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摘要

Mora及其同事最近的分析显示,超过277种疾病可能因温室气体排放造成的气候危害而恶化。具体而言,超过58%的已知人类疾病可因气候变化而恶化。此外,主要由于病原体的多样性,各种气候灾害造成疾病爆发的途径有1 000多种。该分析还敦促立即采取行动解决问题的根源——减少温室气体(GHG)排放。许多气候灾害影响着人类致病性疾病的发病率。不幸的是,由于这一问题的复杂性和多面性,不可能有单一的综合解决办法来尽量减少气候导致的疫情。这项研究旨在确定被归类为流行病的特定疾病的爆发,其发病率与全球变暖密切相关。本分析的重点是(1)应对气候相关疾病的组织,以降低发病率;(2)呼吁建立一个新的流行病学学科,专门研究与气候变化有关的未来流行病预测;(3)从患者的角度看待问题——非医疗/卫生专业人员如何为尽量减少气候相关疾病的传播做出贡献?(4)分析疫情与城市化/污染/人口密度增加和公共卫生政策的关系;还(5)核实疫苗接种覆盖率与病例减少率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping climate change-driven epidemics.

The recent analysis by Mora and colleagues revealed that over 277 diseases can worsen due to climatic hazards resulting from greenhouse gas emissions. Specifically, more than 58% of known human diseases can be aggravated by climate change. Furthermore, there are over 1,000 pathways through which various climatic hazards have contributed to disease outbreaks, primarily due to the diversity of pathogens. This analysis also urges immediate action to address the root of the problem-reducing greenhouse gas (GHG) emissions. Numerous climatic hazards affect the incidence of human pathogenic diseases. Unfortunately, due to the complexity and multifaceted nature of the problem, there cannot be a single comprehensive solution to minimize climate-driven outbreaks. This study seeks to identify outbreaks of specific diseases categorized as epidemics, whose incidence is strongly correlated with global warming. The focus of this analysis is on (1) organizations responding to climate-related diseases to decelerate the incidence rates; (2) to call for a new disciplines in epidemiology that focuses exclusively on climate change-related prediction for future pandemics; (3) looking at the problem from the patient's point of view-how do non-medical/health professionals contribute to minimizing the spread of climate-related diseases?; (4) to analyze outbreaks vs. urbanization/pollution/increase in population density and public health policies; also (5) to verify the vaccination coverage vs. case reduction rate.

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