Monitoring EU Emerging Infectious Disease Risk Due to Climate Change

Science ◽  
2012 ◽  
Vol 336 (6080) ◽  
pp. 418-419 ◽  
Author(s):  
E. Lindgren ◽  
Y. Andersson ◽  
J. E. Suk ◽  
B. Sudre ◽  
J. C. Semenza
Keyword(s):  
Climate Change ◽  
Infectious Disease ◽  
Disease Risk ◽  
Emerging Infectious Disease

scholarly journals Emerging infectious disease outbreaks: estimating disease risk in Australian blood donors travelling overseas

Vox Sanguinis ◽  
2017 ◽  
Vol 113 (1) ◽  
pp. 21-30 ◽  
Author(s):  
A. Coghlan ◽  
V. C. Hoad ◽  
C. R. Seed ◽  
R. LP. Flower ◽  
R. J. Harley ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Blood Donors ◽  
Disease Risk ◽  
Disease Outbreaks ◽  
Emerging Infectious Disease ◽  
Infectious Disease Outbreaks

scholarly journals Climate change and disease risk in the Himalayas

2011 ◽  
Vol 6 (8) ◽  
pp. 7-8 ◽  
Author(s):  
Sahotra Sarkar
Keyword(s):  
Climate Change ◽  
Infectious Disease ◽  
Water Quality ◽  
Spatial Distribution ◽  
Predictive Models ◽  
Disease Risk ◽  
Quantitative Estimates

A new challenge is unfolding in the Himalayas: a significant increase in the burden of infectious disease, driven by climate change. Vectors are moving beyond their historic ranges to higher elevations; water quality is deteriorating, and the available supply is diminishing. Preventive and ameliorative measures to address these problems require robust quantitative estimates of the size and spatial distribution of disease risk. Once enough data are available, disease risk can be mapped with predictive models so that appropriate policies can be formulated and implemented. Unfortunately, there has been virtually no quantitative epidemiological attention to this region.DOI: http://dx.doi.org/10.3126/hjs.v6i8.4921 Himalayan Journal of Sciences Vol.6 Issue 8 2010 pp.7-8

scholarly journals Impacts of a Changing Earth on Microbial Dynamics and Human Health Risks in the Continuum between Beach Water and Sand

2019 ◽  
Author(s):  
Chelsea J. Weiskerger ◽  
João Brandão ◽  
Warish Ahmed ◽  
Asli Aslan ◽  
Lindsay Avolio ◽  
...  
Keyword(s):  
Climate Change ◽  
Infectious Disease ◽  
Human Health ◽  
Human Exposure ◽  
Microbial Population ◽  
Disease Risk ◽  
Climatic Variability ◽  
Extreme Weather Events ◽  
Climate Change Scenarios ◽  
Waterborne Pathogens

Humans may be exposed to microbial pathogens at recreational beaches via environmental sources, such as water, sand, and aerosols. Although infectious disease risk from exposure to waterborne pathogens has been an active area of research for decades, sand is a relatively unexplored reservoir of pathogens and fecal indicator bacteria (FIB). Beach sand and water habitats provide unique advantages and challenges to pathogen introduction, growth, and persistence, as well as continuous exchange between habitats. Models of FIB and pathogen fate and transport in sandy beach habitats can help predict the risk of infectious disease from recreational water use, but filling knowledge gaps such as decay rates and potential for microbial growth in beach habitats is necessary for accurate modeling. Climatic variability, whether natural or anthropogenically-induced, adds complexity to predictive modeling, but may increase human exposure to waterborne pathogens via extreme weather events, warming of water bodies and sea level rise in many regions. The popularity of human recreational beach activities, combined with predicted climate change scenarios, could amplify the risk of human exposure to pathogens and related illnesses. Other global change trends such as increased population growth and urbanization are expected to exacerbate contamination events and the predicted impacts of increasing levels of waterborne pathogens on human health. Such changes will alter microbial population dynamics in beach habitats, and will consequently affect the assumptions and relationships used in population models and quantitative microbial risk assessment (QMRA). Here, we discuss the literature on microbial population and transport dynamics in sand-water continuum habitats at beaches, how these dynamics can be modeled, and how climate change and other anthropogenic influences (e.g., land use, urbanization) should be considered when using and developing more holistic, beachshed-based models.

scholarly journals Mammal assemblage composition predicts global patterns in emerging infectious disease risk

2021 ◽  
Author(s):  
Yingying X.G. Wang ◽  
Kevin D. Matson ◽  
Luca Santini ◽  
Piero Visconti ◽  
Jelle P. Hilbers ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Disease Risk ◽  
Emerging Infectious Disease ◽  
Assemblage Composition ◽  
Global Patterns

scholarly journals Research note: Climate change, peri-urban space and emerging infectious disease

2022 ◽  
Vol 218 ◽  
pp. 104298
Author(s):  
Richard Matthew ◽  
Sosten Chiotha ◽  
James Orbinski ◽  
Byomkesh Talukder
Keyword(s):  
Climate Change ◽  
Infectious Disease ◽  
Urban Space ◽  
Emerging Infectious Disease ◽  
Research Note

scholarly journals Understanding how temperature shifts could impact infectious disease

PLoS Biology ◽  
2020 ◽  
Vol 18 (11) ◽  
pp. e3000938
Author(s):  
Jason R. Rohr ◽  
Jeremy M. Cohen
Keyword(s):  
Climate Change ◽  
Infectious Disease ◽  
Disease Risk ◽  
Disease Models ◽  
Disease Dynamics ◽  
The Past ◽  
New Information ◽  
Infectious Disease Dynamics ◽  
Human Infectious Disease

Climate change is expected to have complex effects on infectious diseases, causing some to increase, others to decrease, and many to shift their distributions. There have been several important advances in understanding the role of climate and climate change on wildlife and human infectious disease dynamics over the past several years. This essay examines 3 major areas of advancement, which include improvements to mechanistic disease models, investigations into the importance of climate variability to disease dynamics, and understanding the consequences of thermal mismatches between host and parasites. Applying the new information derived from these advances to climate–disease models and addressing the pressing knowledge gaps that we identify should improve the capacity to predict how climate change will affect disease risk for both wildlife and humans.

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