| Literature DB >> 35308103 |
Abstract
Several countries have been affected by natural hazards during the COVID-19 pandemic. The combination of the pandemic and natural hazards has led to serious challenges that include financial losses and psychosocial stress. Additionally, this compound disaster affected evacuation decision making, where to evacuate, volunteer participation in mitigation and recovery, volunteer support acceptance, and interest in other hazard risks. This study investigated the impact of COVID-19 on disaster response and recovery from various types of hazards, with regard to preparedness, evacuation, volunteering, early recovery, awareness and knowledge of different types of hazards, and preparedness capacity development. This study targets hazards such as Cyclone Amphan in India, the Kumamoto flood in Japan, Typhoon Rolly in the Philippines, and the California wildfires in the U.S. This study made several recommendations, such as the fact that mental health support must be taken into consideration during COVID-19 recovery. It is necessary to improve the genral condition of evacuation centers in order to encourage people to act immediately. A pandemic situation necessitates a strong communication strategy and campaign with particular regard to the safety of evacuation centers, the necessity of a lockdown, and the duration required for it to reduce the psychological impact. Both national and local governments are expected to strengthen their disaster risk reduction (DRR) capacity, which calls for the multi-hazard management of disaster risk at all levels and across all sectors.Entities:
Keywords: All-hazards approach; COVID-19; Compund hazard; Evacuation; Natural hazard; Volunteerism
Year: 2022 PMID: 35308103 PMCID: PMC8916842 DOI: 10.1016/j.ijdrr.2022.102899
Source DB: PubMed Journal: Int J Disaster Risk Reduct ISSN: 2212-4209 Impact factor: 4.842
Top 10 hazards in terms of economic losses in 2020 modified after EM-DAT, 2021
Note: Drawn from publicly available data on the EM-DAT website (https://public.emdat.be).
Table created by the author.
| Hazard type | Country | Economic loss (’000 USD) | Death toll | Total number affected | |
|---|---|---|---|---|---|
| 1 | Flood | China | 17,000,000 | 280 | 4,200,000 |
| 2 | Cyclone Amphan | India | 13,500,000 | 90 | 18,000,000 |
| 3 | Hurricane Laura | USA | 13,000,000 | 33 | 6500 |
| 4 | Wildfire | USA | 11,000,000 | 32 | N/A |
| 5 | Flood | India | 7,500,000 | 1922 | 1,300,000 |
| 6 | Earthquake | Croatia | 6,800,000 | 1 | 78,942 |
| 7 | Storm | USA | 6,800,000 | 4 | N/A |
| 8 | Hurricane Sally | USA | 6,300,000 | 8 | N/A |
| 9 | Flood | Japan (Kumamoto) | 5,800,000 | 82 | 250,114 |
| 10 | Hurricane Eta | Honduras | 5,000,000 | 110 | 4,566,584 |
Targeted areas of survey questionnaires.
| Country | Targeted area | Sample size | % |
|---|---|---|---|
| India (253 samples) | West Bengal state | 207 | 82 |
| Orissa state | 46 | 18 | |
| Japan (276) | Kumamoto city | 195 | 71 |
| Yatsushiro city | 43 | 16 | |
| Hitoyoshi city | 14 | 5 | |
| Arao city | 16 | 6 | |
| Tsunaki town | 4 | 1.4 | |
| Sagara village | 3 | 1 | |
| Kuma village | 1 | 0.4 | |
| Philippines (268) | Albay province | 139 | 52 |
| Camarines province | 72 | 27 | |
| Sorsogon province | 24 | 9 | |
| Catanduanes province | 33 | 12 | |
| USA (252) | Santa Cruz County | 25 | 10 |
| San Mateo county | 42 | 17 | |
| Sacramento county | 50 | 20 | |
| Santa Clara county | 69 | 27 | |
| San Francisco city and county | 66 | 26 |
Fig. 1Gender ratio and Age distribution.
Top 3 impact of COVID-19.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Household income was reduced | Social ties were reduced | Impacted my mental health/experienced stress |
| Japan | Impacted my mental health/experienced stress | Household income was reduced | Social ties were reduced |
| Philippines | Household income was reduced | Impacted my mental health/experienced stress | Social ties were reduced |
| USA | Social ties were reduced | Impacted my mental health/experienced stress | Household income was reduced |
Top 3 impact of the natural hazard.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Impacted my mental health/experienced stress | Household income was reduced | Social ties were reduced |
| Japan | Impacted my mental health/experienced stress | Household income was reduced | Impacted my health |
| Philippines | Impacted my mental health/experienced stress | Household income was reduced | Social ties were reduced |
| USA | Impacted my health | Impacted my mental health/experienced stress | Social ties were reduced |
Fig. 2Whether preparedness actions had been taken before the natural hazard.
Top 3 preparedness measures taken before the natural disasters.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Checked for information from the TV, radio, and SNS to get the latest news | Prepared emergency items | Prepared hygiene materials to avoid COVID-19 infection |
| Japan | Prepared emergency items | Checked for information from the TV, radio, and SNS to get the latest news | Reserved water and food |
| Philippines | Checked for information from the TV, radio, and SNS to get the latest news | Prepared emergency items | Prepared hygiene materials to avoid COVID-19 infection |
| USA | Prepared emergency items | Checked for information from the TV, radio, and SNS to get the latest news | Prepared hygiene materials to avoid COVID-19 infection |
Fig. 3Where they evacuated if not a designated evacuation center.
Top 3 concerns for evacuation.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Accessing food and emergency items | Caring for children | Whether family members who require special attention would receive adequate care |
| Japan | Accessing food and emergency items | COVID-19 infection risk | Caring for children |
| Philippines | Accessing food and emergency items | Caring for children | COVID-19 infection risk |
| USA | Caring for children | Accessing food and emergency items | Whether family members who require special attention would receive adequate care |
Top 3 problems at the evacuation center.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Providing support and care to those in my family who required special care and attention | Taking care of children | Insufficient food and other necessary items |
| Japan | Insufficient food and other necessary items/Insufficient privacy | N/A (two most serious problems in the highest) | Using sanitary facilities |
| Philippines | Using sanitary facilities | Insufficient food and other necessary items | Providing enough support and care to those in my family who required special care and attention |
| USA | Taking care of children | Insufficient food and other necessary items | Caring for my pets adequately |
Top 3 volunteer support received within 1 week after the disaster occurred.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Cleaning rubble and houses | Receiving emergency items | Medical support |
| Japan | Cooking and distributing food | Receiving emergency items | Cleaning rubble and houses |
| Philippines | Cooking and distributing food | Receiving emergency items | Cleaning rubble and houses |
| USA | Cleaning rubble and houses | Receiving emergency items | Cooking and distributing food |
Top 3 volunteer support received after 1 week to 1 month.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Medical support | Cooking and distributing food | Sorting out the items and clothes provided |
| Japan | Cleaning rubble and houses | Receiving emergency items | Cooking and distributing food/Medical support/Mental health support |
| Philippines | Sorting out the items and clothes provided | Medical support | Receiving emergency items |
| USA | Cooking and distributing food | Sorting out the items and clothes provided | Receiving emergency items |
Top 3 volunteer support received after 1 month.
| Country | 1 | 2 | 3 |
|---|---|---|---|
| India | Sorting out the items and clothes provided | Mental health support | Medical support |
| Japan | Sorting out the items and clothes provided/Receiving emergency items/Medical support/Cooking and distributing food | N/A (top three supports are the same scores as the highest) | N/A |
| Philippines | Mental health support | Medical support | Sorting out the items and clothes provided/Cleaning rubble and houses |
| USA | Sorting out the items and clothes provided | Mental health support | Medical support |
Fig. 4Major difficulties in volunteer experience.
Fig. 5Reasons that they did not do any volunteer work.
Fig. 6Timeframe required to return to their routine.
Fig. 7What of preparedness was necessary.