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Learning from Multi-Hazard Early Warning Systems to Respond to Pandemics (English)

Having a common framework for early action to cope with complex disasters can make it easier for authorities and other stakeholders, including populations at risk, to understand the full spectrum of a disaster’s secondary and tertiary effects and thus where to focus preparedness efforts, and how best to provide more targeted warnings and response services. Meteorological and hydrological services worldwide have developed and implemented Multi-Hazard Early Warning Systems (MHEWS) for weather-and climate-related hazards; these are now being expanded and transitioned toward Multi-Hazard Impact-Based Early Warning Systems (MHIEWS). While it is still early, it is becoming clear that this approach has useful lessons for the COVID-19 global pandemic, and some valuable insight to be gained in risk communication, risk analysis, and monitoring methodologies and approaches. The ability to understand and respond effectively to warnings through appropriate behaviors and actions is central to resilient societies and communities. By avoiding physical, societal, and economic harm to the greatest extent possible, recovery from a hazard is likely to be faster, less costly, and more complete. MHIEWS can be a common approach for all hazards and therefore is more likely to become a trusted tool that everyone can understand and use as a basic element of theirnational disaster risk management system. The interconnectedness of hazards and their impacts is a strong motivator for a common approach. One of the lessons from both the COVID-19 pandemic and extreme weather events is the need to understand the vulnerability of individuals, communities, and societies so as to provide reliable, targeted guidance and warnings and ensure the willingness and capacity to prepare for a reasonable worst-case scenario based on informed long-term planning. Meteorology and hydrology are making good progress in this direction, and the process can be readily applied to health and other sectors.

Details

  • Author

    Rogers,David, Anderson Berry,Linda Jennette, Bogdanova,Anna-Maria, Fleming,Gerald J, Gitay,Habiba, Kahandawa,Suranga Sooriya Kumara, Md Kootval,Haleh Kootval, Staudinger,Michael, Suwa,Makoto, Tsirkunov,Vladimir V., Wang,Weibing

  • Document Date

    2020/06/19

  • Document Type

    Working Paper

  • Report Number

    149839

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    Multi-Regional,

  • Disclosure Date

    2020/06/19

  • Disclosure Status

    Disclosed

  • Doc Name

    Learning from Multi-Hazard Early Warning Systems to Respond to Pandemics

  • Keywords

    household-level effect; investment need; consequence of climate change; national disaster management system; Disaster Response and Recovery; Early Warning and Response; impact of storm surge; early warning system; warning service; extreme weather event; disaster risk management; National Risk Assessment; decision support system; civil protection agency; irrigation and drainage; loss of life; impact event; long-term planning; access to information; collapse of buildings; body of knowledge; safety of life; tropical cyclone; emergency management authority; natural hazard; impact on productivity; loss of property; finance and risk; flow of information; costs of mitigation; impact of disaster; water storage capacity; exchange of information; spectrum of risk; probability of occurrence; data on primary; loss of livelihood; risk of theft; loss of income; million people; air pollution exposure; damage to property; poor air quality; people in poverty; population at large; ambient particulate matter; standard operating procedure; management of risk; loss of information; personal protective equipment; loss of education; content and context; flood; infrastructure system; meteorological hazards; disease outbreak; societal impacts; health emergency; vulnerable group; hydrological service; civil unrest; transportation network; Health Service; appurtenant structures; exposure information; Population Displacement; color coding; public health; informal communication; disaster reduction; vulnerability assessment; risk map; behavioral scientist; heavy rainfall; food insecurity; personal data; emergency response; alert system; flood risk; rational approach; emergency situation; information exchange; information flow; public good; potential threat; risk analysis; economic harm; Infectious Disease; financial loss; poor community; vulnerable people; civil disobedience; psychological problem; other sectors; early detection; forecasting method

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Citation

Rogers,David Anderson Berry,Linda Jennette Bogdanova,Anna-Maria Fleming,Gerald J Gitay,Habiba Kahandawa,Suranga Sooriya Kumara Md Kootval,Haleh Kootval Staudinger,Michael Suwa,Makoto Tsirkunov,Vladimir V. Wang,Weibing

Learning from Multi-Hazard Early Warning Systems to Respond to Pandemics (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/429511592591445701/Learning-from-Multi-Hazard-Early-Warning-Systems-to-Respond-to-Pandemics