Infectious Diseases

Heat Advisory ◽  
2016 ◽  
Author(s):  
Alan H. Lockwood
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Lyme Disease ◽  
Disease Ecology ◽  
Disease Vectors ◽  
Tropical Storms ◽  
Adaptation To Climate Change ◽  
Mitigation And Adaptation ◽  
Ipcc Report ◽  
Water Borne

A warmer climate will exert multiple and diverse effects on ecological systems. Climate change will affect disease vectors, especially mosquitoes, and disease-causing organisms, such as the protozoa that cause malaria, bacteria, and viruses. Malaria will spread to higher latitudes and altitudes. Without mitigation and adaptation to climate change half of the world’s population is likely to be at risk for contracting dengue before 2100. Lyme disease is already spreading. Hantavirus infections, which may have a 40% mortality, are likely to hospitalize as many as 200,000 individuals annually according the most recent IPCC report. Water-borne illnesses, particularly cholera, are likely to follow in the wake of tropical storms, as was the case in post-earthquake Haiti where a severe outbreak followed flooding due to Hurricane Tomas. Understanding disease ecology will become increasingly important.

scholarly journals Facteurs affectant les stratégies d’adaptation des éleveurs aux changements climatiques: cas des parcours d'El Ouara au Sud Tunisien

New Medit ◽  
2021 ◽  
Vol 20 (5) ◽  
Author(s):  
Houda Rjili ◽  
Mohamed JAOUAD
Keyword(s):  
Climate Change ◽  
Animal Husbandry ◽  
Herd Size ◽  
The South ◽  
Economic Activities ◽  
Adaptation To Climate Change ◽  
Mitigation And Adaptation ◽  
Environmental Threat ◽  
Global Environmental ◽  
Changements Climatiques

Climate change is a global environmental threat to all economic activities, especially the livestock activity. The South of Tunisia, where animal husbandry is a fundamental element of the domestic economy, is more influenced by these negatives effects due to the arid climate. The objective of this study is to identify strategies and levers mitigation and adaptation to climate change developed by breeders on based on available factors. For this purpose, a survey conducted among 73 breeders on the rangelands of El Ouara, in the South of Tunisia. Results emerges that breeders use various adaptation strategies principally, supplementation, integration agriculture-livestock and conduct’s mode through different types such as association. The result of the model reveal that age of breeder, herd size, agricultural area, member of an association, subsidies and well ownerships are the most factors which significantly influence the adaptation choices of breeders to cope to climate change. The results proved too that adaptation to climate change was inhibited by many factors such as luck of workforce labor, lack of water and financial resources as well the degradation of the rangelands.

scholarly journals Assessing Community Resilience to Urban Flooding in Multiple Types of the Transient Population in China

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2784 ◽  
Author(s):  
Wenping Xu ◽  
Lingli Xiang ◽  
David Proverbs
Keyword(s):  
Climate Change ◽  
Empirical Studies ◽  
Back Propagation ◽  
Community Resilience ◽  
Back Propagation Neural Network ◽  
Disaster Resilience ◽  
Urban Flooding ◽  
Adaptation To Climate Change ◽  
Mitigation And Adaptation ◽  
Different Types

While various measures of mitigation and adaptation to climate change have been taken in recent years, many have gradually reached a consensus that building community resilience is of great significance when responding to climate change, especially urban flooding. There has been a dearth of research on community resilience to urban floods, especially among transient communities, and therefore there is a need to conduct further empirical studies to improve our understanding, and to identify appropriate interventions. Thus, this work combines two existing resilience assessment frameworks to address these issues in three different types of transient community, namely an urban village, commercial housing, and apartments, all located in Wuhan, China. An analytic hierarchy process–back propagation neural network (AHP-BP) model was developed to estimate the community resilience within these three transient communities. The effects of changes in the prioritization of key resilience indicators under different environmental, economic, and social factors was analyzed across the three communities. The results demonstrate that the ranking of the indicators reflects the connection between disaster resilience and the evaluation units of diverse transient communities. These aspects show the differences in the disaster resilience of different types of transient communities. The proposed method can help decision makers in identifying the areas that are lagging behind, and those that need to be prioritized when allocating limited and/or stretched resources.

scholarly journals The Voices of Local NGOs in Climate Change Issues: Examples from Climate Vulnerable Nations

2018 ◽  
Vol 10 (3) ◽  
pp. 63-80
Author(s):  
Ian M McGregor ◽  
Hilary Yerbury ◽  
Ahmed Shahid
Keyword(s):  
Climate Change ◽  
At Risk ◽  
Scientific Knowledge ◽  
Knowledge Creation ◽  
Knowledge Brokering ◽  
Adaptation To Climate Change ◽  
Small Countries ◽  
New Knowledge ◽  
Nationally Determined Contributions

The contributions of small local non-government organisations (NGOs) in countries at risk from climate change to knowledge creation and action on climate change are rarely considered. This study sought to remedy this by focusing on NGOs in member countries of the Climate Vulnerable Forum (CVF). Analysing data from Intended Nationally Determined Contributions (INDCs), NGO websites and email correspondence with NGO staff through a knowledge brokering typology, this study examines the ways in which local NGOs in five members of the CVF (Afghanistan, Bhutan, Kiribati, Nepal and Tuvalu) take action, generate new knowledge and understandings and contribute to the plans and actions of their government and the international community. The study found that local NGOs are involved in the creation of new knowledge both at the scientific and community level and engage in actions to support adaptation to climate change. However, there are differences in the approaches they take when making contributions to scientific knowledge and climate change debates. The findings of this study suggest the need to reconceptualise the role of local NGOs in small countries at risk from climate change.

Brazilian Climate Change Law

2016 ◽  
Author(s):  
Karen Alvarenga Oliveira
Keyword(s):  
Climate Change ◽  
Climate Change Policy ◽  
National Policy ◽  
Ghg Emissions ◽  
Governance Structure ◽  
Low Carbon ◽  
Adaptation To Climate Change ◽  
Low Carbon Economy ◽  
Mitigation And Adaptation ◽  
Change Policy

This chapter examines the climate change policy of Brazil. In 2010 at the Sixteenth Conference of Parties in Cancún, Brazil announced its voluntary national target of significantly reducing greenhouse gas (GHG) emissions between 36.1 per cent and 38.9 per cent of projected emissions by 2020. These targets were defined in the Brazilian National Policy on Climate Change (PNMC). The PNMC establishes principles, guidelines, and economic instruments for reaching the national voluntary targets. It relies on sectoral plans for mitigation and adaptation to climate change in order to facilitate the move towards a low-carbon economy. The PNMC defined various aspects related to the measurement of goals, formulation of sectoral plans and of action plans for the prevention and control of deforestation in all Brazilian biomes, and governance structure.

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