Is Urban Household Emergency Preparedness Associated with Short-Term Impact Reduction after a Super Typhoon in Subtropical City?
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Risk Perception and Preparedness Activities
3.2. Responsive Activities Undertaken during the Typhoon
3.3. Impact of the Typhoon
3.4. Experiences and Future Preparedness
4. Discussion
4.1. Preparedness
4.2. During the Typhoon
4.3. Health Impacts
4.4. What is the Gap Found in this Study
4.5. Limitations
4.6. Implications
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
Appendix A
Multivariable Logistic Regression—Practiced at Least 1 Typhoon-Specific Preparedness (n = 515) | |||||
---|---|---|---|---|---|
Variables | |||||
Routine Household Preparedness | First-Aid Kit | Food Supply | Basic Medicine | Fire Extinguishing Equipment | Back Up Light Source |
Yes | 1.79 (1.18–2.73) ** | 1.80 (1.08–3.03) * | 1.69 (0.75–3.65) | 3.13 (1.36–7.20) ** | 1.69 (1.03–2.77) * |
No | 1 | 1 | 1 | 1 | 1 |
Education | |||||
Primary | 0.65 (0.31–1.35) | 0.65 (0.31–1.35) | 0.62 (0.30–1.29) | 0.62 (0.30–1.28) | 0.58 (0.28–1.19) |
Secondary | 0.51 (0.31–0.82) ** | 0.48 (0.30–0.78) ** | 0.48 (0.30–0.78) ** | 0.47 (0.29–0.77) ** | 0.49 (0.30–0.79) ** |
Post-secondary | 1 | 1 | 1 | 1 | 1 |
Gender | |||||
Male | 1 | 1 | 1 | 1 | 1 |
Female | 1.14 (0.75–1.75) | 1.11 (0.72–1.71) | 1.16 (0.76–1.78) | 1.20 (0.78–1.85) | 1.16 (0.76–1.78) |
Age | |||||
18–24 | 1.60 (0.69–3.75) | 1.63 (0.70–3.80) | 1.70 (0.73–3.97) | 1.73 (0.74–4.04) | 1.70 (0.73–3.96) |
25–44 | 2.61 (1.28–5.30) ** | 2.69 (1.33–5.46) ** | 2.69 (1.33–5.46) ** | 2.79 (1.38–5.66) ** | 2.89 (1.43–5.87) ** |
45–64 | 1.33 (0.75–2.37) | 1.43 (0.81–2.54) | 1.40 (0.79–2.48) | 1.37 (0.77–2.43) | 1.49 (0.84–2.64) |
65+ | 1 | 1 | 1 | 1 | 1 |
Perceived home to be at high risk during typhoons | |||||
Yes | 2.67 (1.08–6.60) ** | 2.82 (1.14–7.00) * | 2.65 (1.08–6.55) * | 2.65 (1.07–6.55) * | 2.49 (1.01–6.15) * |
No | 1 | 1 | 1 | 1 | 1 |
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Types of Household Preparedness Measures (n = 521) | Health-EDRM Implications | Routine Emergency Preparedness | Typhoon Mangkhut Preparedness |
---|---|---|---|
General emergency preparedness measures | |||
Food Supply | To ensure food security and to maintain proper nutritional intake | 432 (82.9%) | 355 (68.1%) |
Drinking water | To have clean water for sanitation, hydration, and food preparation | 255 (48.9%) | 197 (37.8%) |
Basic medication (e.g., pain relievers) | To deal with acute clinical symptoms related to pains and fever | 488 (93.7%) | 242 (46.4%) |
Long term medication (2 weeks) | To sustain treatment plan(s) and the continuous management of chronic diseases | 279 (53.6%) | 148 (28.4%) |
Backup light source | To provide visual aid to prevent injuries such as falling | 417 (80.0%) | 281 (53.9%) |
Backup electrical source | To elongate the functionality of electronical appliances such as medical equipment or cooking apparatuses | 109 (20.9%) | 98 (18.8%) |
First-aid kit | For the immediate treatment and mitigation of emergencies and accidents | 288 (55.3%) | - |
Basic first-aid supplies, e.g., Band-Aids and ace bandages | For the treatment and mitigation of minor injuries | 496 (95.2%) | - |
Fire extinguishing equipment | To control the fire hazard and to prevent fire-related injuries | 63 (12.1%) | - |
Typhoon-specific preparedness measures (TSPM) | |||
Taped windows | To reduce shattered glass pieces for injury prevention | - | 268 (51.4%) |
Collect or tied down items that can be blown away (e.g., flower pots) | To reduce the risk of blunt force trauma from objects carried by the storm | - | 273 (52.4%) |
Anti-flooding, leaking, and seeping measures | To reduce injury risks related to slippery surfaces and allergies or airborne toxins related to mould and fungi | - | 195 (37.4%) |
Demographics | Sampled Respondents (n = 521) | HK 2016 Population by Census Data (n = 6,506,130) | Sample vs. Census p-Value a | ||
---|---|---|---|---|---|
n | % | n | % | ||
Gender | |||||
Male | 221 | 42.4% | 2,947,073 | 45.3% | 0.202 b |
Female | 300 | 57.6% | 3,559,057 | 54.7% | |
Age | |||||
18–24 | 63 | 12.1% | 785,981 | 12.1% | 0.005 * |
25–44 | 154 | 29.6% | 2,228,566 | 34.3% | |
45–64 | 224 | 41.5% | 2,328,430 | 35.8% | |
≥65 | 80 | 15.4% | 1,163,153 | 17.9% | |
Area of residence | |||||
Hong Kong Island | 102 | 19.6% | 1,120,143 | 17.2% | 0.219 |
Kowloon | 164 | 31.5% | 1,987,380 | 30.6% | |
New Territories | 254 | 48.8% | 3,397,499 | 52.2% | |
Education attainment | |||||
Primary and below | 56 | 10.7% | 1,673,431 | 25.7% | <0.001 * |
Secondary | 195 | 37.4% | 2,841,510 | 43.7% | |
Post-secondary | 265 | 50.9% | 1,991,189 | 30.6% | |
Marital status | |||||
Single | 212 | 40.7% | 2,708,709 | 41.6% | 0.695 b |
Married | 309 | 59.3% | 3,797,421 | 58.4% | |
Income | |||||
<2000–9999 | 45 | 9.4% | 480,117 | 19.2% | <0.001 * |
10,000–19,999 | 73 | 15.2% | 547,784 | 21.8% | |
20,000–39,999 | 160 | 33.4% | 699,450 | 27.8% | |
≥40,000 | 201 | 42.0% | 782,383 | 31.2% | |
Perceived home to be at high risk during typhoons (n = 520) | |||||
Yes | 49 | 9.4% | - | - | - |
No | 471 | 90.4% | - | - | - |
Impact from Typhoon Mangkhut (n = 521) | |||||
Yes | 174 | 33.4% | - | - | - |
No | 347 | 66.6% | - | - | - |
Practiced at least 1 typhoon-specific preparedness (n = 521) | |||||
Yes | 387 | 74.3% | - | - | - |
No | 134 | 25.7% | - | - | - |
Went out when typhoon signal was T8 or above (n = 520) | |||||
Yes | 83 | 16.0% | - | - | - |
No | 437 | 84.0% | - | - | - |
Characteristics | Practiced at Least 1 Typhoon-Specific Preparedness Measure (TSPM) ^ | |||||
---|---|---|---|---|---|---|
χ2 Test; n = 521 * | Logistic Regression; n = 515 | |||||
Yes | No | p-Value | OR (95% CI) | p-Value | ||
Gender | Male | 161 (41.6%) | 60 (44.8%) | 0.522 | 1 | |
Female | 226 (58.4%) | 74 (55.2%) | 1.16 (0.76–1.77) | 0.493 | ||
Age | 18–24 | 50 (12.9%) | 13 (9.7%) | <0.001 | 1.75 (0.75–4.07) | 0.193 |
25–44 | 131 (33.9%) | 23 (17.2%) | 2.80 (1.39–5.65) | 0.004 | ||
45–64 | 158 (40.8%) | 66 (49.3%) | 1.43 (0.81–2.53) | 0.219 | ||
≥65 | 48 (12.4%) | 32 (23.9%) | 1 | |||
Education attainment (n = 516) | Primary and below | 37 (9.6%) | 19 (14.4%) | <0.001 | 0.59 (0.29–1.22) | 0.156 |
Secondary | 127 (33.1%) | 68 (51.5%) | 0.48 (0.30–0.77) | 0.003 | ||
Post-secondary | 220 (57.3%) | 45 (34.1%) | 1 | |||
Income (n = 479) | <2000–9999 | 27 (7.6%) | 18 (14.8%) | 0.110 | - | - |
10,000–19,999 | 55 (15.4%) | 18 (14.8%) | - | - | ||
20,000–39,999 | 119 (33.3%) | 41 (33.6%) | - | - | ||
≥40,000 | 156 (43.7%) | 45 (36.9%) | - | - | ||
Perceived home to be at high risk during typhoons (n = 520) | Yes | 43 (11.1%) | 6 (4.5%) | 0.023 | 2.63 (1.07–6.50) | 0.036 |
No | 343 (88.9%) | 128 (95.5%) | 1 |
Characteristics | Household Impact due to Typhoon Mangkhut | |||||
---|---|---|---|---|---|---|
χ2 Test; n = 521 * | Logistic Regression; n = 515 | |||||
Yes | No | p-Value | OR (95% CI) | p-Value | ||
Gender | Male | 19 (32.8%) | 202 (43.6%) | 0.114 | - | - |
Female | 39 (67.2) | 261 (56.4%) | - | - | ||
Age | 18–24 | 8 (13.8%) | 55 (11.9%) | 0.132 | - | - |
25–44 | 23 (39.7%) | 131 (28.3%) | - | - | ||
45–64 | 23 (39.7%) | 201 (43.4%) | - | - | ||
≥65 | 4 (6.9%) | 76 (16.4%) | - | - | ||
Education attainment (n = 516) | Primary and below | 3 (5.5%) | 53 (11.5%) | 0.184 | - | - |
Secondary | 18 (32.7%) | 177 (38.4%) | - | - | ||
Post-secondary | 34 (61.8%) | 231 (50.1%) | - | - | ||
Income (n = 479) | <2000–9999 | 3 (5.8%) | 42 (9.8%) | 0.533 | - | - |
10,000–19,999 | 6 (11.5%) | 67 (15.7%) | - | - | ||
20,000–39,999 | 21 (40.4%) | 139 (32.6%) | - | - | ||
≥40,000 | 22 (42.3%) | 179 (41.9%) | - | - | ||
Floor levels | <6 | 18 (31.6%) | 91 (19.7%) | 0.185 | - | - |
6–15 | 20 (35.1%) | 166 (36.0%) | - | - | ||
16–25 | 11 (19.3%) | 113 (24.5%) | - | - | ||
≥26 | 8 (14.0%) | 91 (19.7%) | - | - | ||
Perceived home to be at high risk during typhoons | Yes | 17 (29.3%) | 32 (6.9%) | <0.001 | 5.16 (2.63–10.14) | <0.001 |
No | 41 (70.7%) | 430 (93.1%) | 1 | |||
Practiced at least one typhoon specific preparedness measure | Yes | 50 (86.2%) | 337 (72.8%) | 0.027 | 2.02 (0.92–4.45) | 0.080 |
No | 8 (13.8%) | 126 (27.2%) | 1 |
Characteristics | Willingness to Practice Future Preparedness for Typhoons | |||||
---|---|---|---|---|---|---|
χ2 test; n = 521 * | Logistic Regression; n = 515 | |||||
Yes | No | p-Value | OR (95% CI) | p-Value | ||
Gender | Male | 94 (36.2%) | 127 (48.7%) | 0.004 | 1 | |
Female | 166 (63.8%) | 134 (51.3%) | 1.75 (1.18–2.58) | 0.005 | ||
Age | 18–24 | 33 (12.7%) | 30 (11.5%) | 0.116 | - | - |
25–44 | 88 (33.8%) | 66 (25.3%) | - | - | ||
45–64 | 100 (38.5%) | 124 (47.5%) | - | - | ||
≥65 | 39 (15.0%) | 41 (15.7%) | - | - | ||
Education attainment (n = 516) | Primary and below | 31 (12.1%) | 25 (9.7%) | 0.057 | 1.32 (0.63–2.77) | 0.471 |
Secondary | 84 (32.7%) | 111 (42.9%) | 0.65 (0.41–1.03) | 0.064 | ||
Post-secondary | 142 (55.3%) | 123 (47.5%) | 1 | |||
Income (n = 479) | <2000–9999 | 22 (9.0%) | 23 (9.8%) | 0.096 | 1.36 (0.64–2.88) | 0.428 |
10,000–19,999 | 47 (19.3%) | 26 (11.1%) | 2.29 (1.21–4.34) | 0.011 | ||
20,000–39,999 | 76 (31.1%) | 84 (35.7%) | 1.03 (0.65–1.64) | 0.891 | ||
≥40,000 | 99 (40.6%) | 102 (43.4%) | 1 | |||
Perceived home to be at high risk during typhoons | Yes | 33 (12.7%) | 16 (6.2%) | 0.011 | 1.43 (0.71–2.90) | 0.319 |
No | 227 (87.3%) | 244 (93.8%) | 1 | |||
Practiced at least one typhoon specific preparedness measure | Yes | 222 (85.4%) | 165 (63.2%) | <0.001 | 3.07 (1.93–4.91) | <0.001 |
No | 38 (14.6%) | 96 (36.8%) | 1 | |||
Household impacted by Typhoon Mangkhut | Yes | 40 (15.4%) | 18 (6.9%) | 0.002 | 2.11 (1.08–4.12) | 0.028 |
No | 220 (84.6%) | 243 (93.1%) | 1 |
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Share and Cite
Chan, E.Y.Y.; Man, A.Y.T.; Lam, H.C.Y.; Chan, G.K.W.; Hall, B.J.; Hung, K.K.C. Is Urban Household Emergency Preparedness Associated with Short-Term Impact Reduction after a Super Typhoon in Subtropical City? Int. J. Environ. Res. Public Health 2019, 16, 596. https://doi.org/10.3390/ijerph16040596
Chan EYY, Man AYT, Lam HCY, Chan GKW, Hall BJ, Hung KKC. Is Urban Household Emergency Preparedness Associated with Short-Term Impact Reduction after a Super Typhoon in Subtropical City? International Journal of Environmental Research and Public Health. 2019; 16(4):596. https://doi.org/10.3390/ijerph16040596
Chicago/Turabian StyleChan, Emily Ying Yang, Asta Yi Tao Man, Holly Ching Yu Lam, Gloria Kwong Wai Chan, Brian J. Hall, and Kevin Kei Ching Hung. 2019. "Is Urban Household Emergency Preparedness Associated with Short-Term Impact Reduction after a Super Typhoon in Subtropical City?" International Journal of Environmental Research and Public Health 16, no. 4: 596. https://doi.org/10.3390/ijerph16040596
APA StyleChan, E. Y. Y., Man, A. Y. T., Lam, H. C. Y., Chan, G. K. W., Hall, B. J., & Hung, K. K. C. (2019). Is Urban Household Emergency Preparedness Associated with Short-Term Impact Reduction after a Super Typhoon in Subtropical City? International Journal of Environmental Research and Public Health, 16(4), 596. https://doi.org/10.3390/ijerph16040596