Commodity Food Price Data Collection & Reporting Prices provide key information for almost all activities on a global scale. As overarching indicators they give timely
Airlines, marine vessels, road, and railway transport networks continue to connect to the far corners of the globe. With these increased connections, travel time has decreased while travel speed and the volume of passengers and goods transported have increased. An advantage of ever-increasing mobility is that it aids disaster relief, recovery, and reconstruction efforts in the aftermath of a disaster. Thus, reducing the vulnerability of regions exposed to non-epidemic catastrophes. However, the consequences of both long- and short-range movements have also made the global human and animal population vulnerable to epidemic disasters because pathogens and their vectors can now move further, faster, and in greater numbers than ever before. Hence, putting more pressure on healthcare, technology, and government to develop and administer vaccines and antivirals to lower our vulnerability.
A disaster results from the complex interaction between and combination of factors and development processes that generate conditions that create vulnerability to a hazard depending on the exposure. Vulnerability depends on the combination of economic, social, governmental, healthcare, technological resources and measures of mitigating the impact of the extreme external shock, i.e. a pandemic. If the vulnerability exists (no or limited economic, healthcare, technological, etc. resources), being exposed (spatially and temporally) to a given hazard, and the fact of not being able to address the consequences of the extreme external shock is a disaster. Rapid and uncontrolled urbanization as well as global population growth, for example, can contribute to the (re-)appearance and facilitate the spread infectious diseases, since humans and animals are living in closer proximity to each other.
Destruction resulting from a catastrophic event can be defined and measured. The gross domestic output can measure economic losses, while the number of deaths can determine human losses. The balance of these two can be vastly different in low vs. high human development countries. For example, the average number of deaths per disaster in low human development countries with a per capita GDP of less than US$2,000 can be much higher, say 1000, while the economic losses could be less than US$100 million. On the other hand, the average number of deaths per disaster in high human development countries with a per capita GDP higher than US$14,000 can be lower, say less than ten, while the economic losses could be over US$600 million. Measuring an extreme event by financial losses alone is not enough to label it a disaster or not. Quantifying losses can be done using sector-specific vulnerability curves based on modeled data, including but not limited to figures of population, building data, structural classes, structural characteristics, and insurance claims. Research from industry sources and historical events can validate these vulnerability curves.
Strengthening the capacities of national government, private institution, international agencies, etc. worldwide in the fight against multiple hazards as a consequence of climate change requires support, funding and investments. Policy, decision making, preparedness and planning regarding environmental, physical, economic and social characteristics at global, national, regional and local resolutions will have to be implemented. However, the long-term costs and benefits of environmental policy and regulations in the global fight against climate change and the reduction of environmental harm involves estimating costs and benefits projections of future unknown economic activity, effects, technological innovations, etc. The vast array of issues, interactions, etc. are not entirely known and as such, very difficult to quantified or monetized. These difficulties are magnified by the long-term and global scale of the problem, which makes it difficult to provide a solid objective basis for long-term policy and decision making.
If, when (a future date or frequency) and how (intensity or magnitude and/or duration) of an external shock, for example an epidemic (viral in origin, i.e. COVID-19 SARS-CoV-2 coronavirus, Ebola virus disease (EVD) and Ebola hemorrhagic fever (EHF) caused by ebolaviruses, etc.) or non-epidemic disaster (natural, anthropic or technological, or a combination of, in origin, i.e. hurricane, flood, earthquake, etc.) strikes a particular region depends on statistical representations of historical event characteristics (probability or distribution), (climate model) as well as spatial and temporal factors. The most important factor associated with exposure are the numbers of people and assets (in terms of wealth) exposed to (spatial and temporal or time and place) the hazard, and their vulnerability to be damaged or loss of life. In the case of flooding, storm surge, tsunami’s and torrential downpours exposure means that human and animal population as well as accumulated wealth in close proximity of the coast, rivers (delta’s) or basins and low lying regions.