气候变化和传染病:从证据到预测框架
Sonia Altizer1, Richard S Ostfeld, Pieter T J Johnson
1Odum School of Ecology, University of Georgia, Athens, GA 30602, USA. saltizer@uga.edu
Science (New York, N.Y.)
|August 3, 2013
概括
气候变化影响传染病,但检测这些对人类病原体的影响是复杂的. 本综述综合了研究,为预测和监测气候驱动疾病的出现提供了一个框架.
科学领域:
- 生态生态学 生态生态学
- 流行病学 流行病学
- 气候科学 气候科学
背景情况:
- 预计气候变化将改变传染病的动态.
- 由于社会经济因素和控制措施的混,检测气候对人类病原体的影响具有挑战性.
- 现有研究表明,气候变化会影响自然和农业系统的疾病发生,结果因气候特征和宿主-病原体相互作用而有所不同.
研究的目的:
- 审查过去十年的研究进展,并确定有关气候变化和传染病的知识差距.
- 开发一个整合生态生理学,社区生态学和疾病预测建模的预测框架.
- 引导未来的研究和监测气候驱动疾病的出现.
主要方法:
- 文献综述综合生态生理学,社区生态学和建模研究的发现.
- 开发一个概念框架,以整合各种生态和流行病学数据.
- 分析影响宿主-病原体系统和气候变化下的疾病结果的因素.
主要成果:
- 在了解气候与疾病的联系方面取得了重大进展,但仍然存在相当大的研究差距.
- 气候变化对疾病发生的结果取决于背景,受特定气候变量和宿主-病原体系统特征的影响.
- 为了改善预测,建议整合多个生态学科的预测框架.
结论:
- 持续监测自然生态系统中的病原体生物多样性和疾病趋势至关重要.
- 将生态生理学和社区生态学的知识与建模方法相结合,可以提高对气候驱动疾病出现的预测.
- 需要采取积极的战略,以减轻气候变化对传染病的影响.
相关概念视频
01:28Infectious Diseases and Their Occurrence
Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
01:27Microbes and Climate Change
Microorganisms are pivotal agents in Earth's biogeochemical cycles, significantly influencing climate dynamics through their metabolic activities. These microbes modulate the levels of key greenhouse gases by both contributing to and helping mitigate climate change.Microbial Contributions to Greenhouse Gas EmissionsRising global temperatures accelerate microbial metabolism, which, in turn, speeds up the decomposition of organic matter. This process releases carbon dioxide (CO₂) through...
01:18Steps in Outbreak Investigation
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
01:23Investigation of Disease Outbreaks
Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
01:26Principles of Disease Surveillance
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
01:21Causality in Epidemiology
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...