Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-11T04:31:01.120Z Has data issue: false hasContentIssue false

Does Disaster Severity Have a Long-Term Effect on Survivors’ Disaster Preparedness? A Survey a Decade after the 2008 Wenchuan Earthquake in China

Published online by Cambridge University Press:  09 September 2024

Yang Xu
Affiliation:
School of Sociology, Beijing Normal University, Beijing, China
Jianwen Wei*
Affiliation:
School of Sociology, Nankai University, Tianjin, China
Yang Han
Affiliation:
JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
Yandong Zhao
Affiliation:
School of Social Research, Renmin University of China, Beijing, China
*
Corresponding author: Jianwen Wei; Email: stanwjw@nankai.edu.cn
Rights & Permissions [Opens in a new window]

Abstract

Objectives:

Disaster experiences have long-term effects on disaster preparedness. This study examined the long-term (10-y) effect of disaster severity of the 2008 Wenchuan earthquake on survivors’ disaster preparedness and the moderating effects of household vulnerability.

Methods:

The data were collected in January 2018 covering 30 counties in Wenchuan earthquake-stricken areas. The dependent variable was survivors’ disaster preparedness (including overall, material, knowledge and awareness, and action preparedness) in 2018. Disaster severity included survivors’ housing damage and county death rate caused by the earthquake in 2008. Household vulnerability is a set of conditions that negatively affects the ability of people to prepare for and withstand disaster, proxied by households’ per-capita income and the highest years of schooling of household members. We performed multivariable linear regression models to answer the research questions.

Results:

A higher county death rate was associated with better overall preparedness (β = 0.043; P < 0.05) and knowledge and awareness preparedness (β = 0.018; P < 0.05), but housing damage was not significantly associated with disaster preparedness. The positive association of county death rate with overall preparedness (β = −0.065; P < 0.05) becomes weaker when a household has a higher per-capita income. Also, with the household per-capita income increasing, the associations of county death rate with material preparedness (β = −0.037; P < 0.05) and action preparedness (β = −0.034; P < 0.01) become weaker.

Conclusions:

Disaster severity has positive and long-term effects on survivors’ disaster preparedness. Also, the positive and long-term effects are affected by household vulnerability. Specifically, the positive and long-term effects of disaster severity on disaster preparedness are more substantial when a household is more vulnerable.

Type
Original Research
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc

Introduction

Natural disasters are considerable events that cause widespread destruction to the environment and loss of life. 1 Disasters usually cause injuries and deaths, property losses, and infrastructure destruction, and can lead to short-term and long-term adverse effects on human health and well-being. 1Reference Xu, Yong and Deng3 Existing literature indicated that disasters could result in post-disaster stress disorder, Reference Galea, Nandi and Vlahov4,Reference Kiliç, Ozgüven and Sayil5 damage survivors’ quality of life, Reference Calvo, Arcaya and Baum6,Reference Ardalan, Mazaheri and Vanrooyen7 and affect survivors’ health in the long run. Reference Han, Wei and Zhao8 One of the most effective means to deal with threats caused by natural disasters is to improve household disaster preparedness capacity. Reference Ma, Guo and Deng9 Being prepared for disasters can minimize damage to human health, lives, and property, significantly improving residents’ happiness, life satisfaction, and general health status. Reference Qing, Deng and Xu10

Disaster preparedness can be defined as the knowledge, capabilities, and actions “to effectively anticipate, respond to, and recover from, the impacts of likely, imminent or current hazard events or conditions”. 1 Sufficient household preparedness for disaster reduction and prevention can effectively decrease the losses and harmful impacts of disasters, and shorten recovery time after disasters. Reference Malmin11 Previous studies showed that disaster severity generally affected survivors’ disaster preparedness strategies when dealing with possible disasters in the future. Survivors who experienced financial or health damage during disasters tend to be well prepared to deal with disaster events. Reference Osberghaus12 In the Great East Japan Earthquake, compared with others who did not suffer damage, survivors who experienced direct/indirect damage from the earthquake were relatively better prepared, mainly in basic preparedness, energy/heat preparedness, and evacuation preparedness. Reference Onuma, Shin and Managi13 In the Typhoon Mangkhut, the severity of damage affected survivors’ willingness to prepare for future typhoons. Reference Chan, Man and Lam14 In the Loma Prieta earthquake, survivors with little or no losses maintain lower risk awareness and may respond less to disaster warnings. Reference Mileti and O’Brien15

Also, previous studies examined the longstanding (several months or even years after the disaster) associations between disaster severity and disaster preparedness. Reference Osberghaus12Reference Chan, Man and Lam14,Reference Han and Nigg16Reference Turner, Nigg and Paz18 However, only a few studies have discussed the long-term (5 y or more) effects of disaster severity on disaster preparedness, and the results were inconsistent. Eight years after the Wenchuan earthquake, survivors located in severely affected areas still have a strong tendency to purchase insurance to avoid disaster risk and tend to relocate their residences to prevent and avoid disaster events. The association of household risk perception with their aspiration to purchase insurance and relocation intention was significant and positive. Reference Xu, Liu and Deng19 Eight years after the Loma Prieta earthquake, the effect of the severity of disaster damage on enterprises’ disaster preparedness actions and activities was still significantly positive-going. Reference Han and Nigg16 However, a previous study in America assessed the relationship between disaster exposure as well as loss over the past 30 y and state-level preparedness. It was found that, at the state level, disaster preparedness was not associated with disaster deaths and injuries. Reference Howe20

Vulnerability, which can be considered the likelihood of an individual or household encountering certain risks, provides a wider perspective in disaster preparedness assessment studies. 21 Effects on disaster preparedness of disaster severity, may vary among survivors with different levels of household vulnerability. Household vulnerability is a set of conditions that negatively affects the ability of people to prepare for and withstand disaster. Reference Alexander22,23 Household vulnerability may serve as a moderating variable, affecting the effect of disaster severity on disaster preparedness. Numerous studies measured household vulnerability using household economic situation and household members’ educational status. Reference Zhang24Reference Sun, Chen and Ren26 Research has shown that households with high levels of household vulnerability are more susceptible to disasters, experiencing property damage and even casualties. Reference Sun, Chen and Ren26 Therefore, this study used household vulnerability to explore the moderating mechanisms underlying the association between disaster severity and disaster preparedness. Existing research has shown that higher household income was associated with better disaster preparedness. Reference Yong, Lemyre and Pinsent27,Reference Wang, Han and Liu28 It is partly because, compared with low-income households, high-income households had a more robust economic capacity to undertake disaster preparedness activities and actions. Disaster survivors with sufficient resources may have greater self-efficacy or confidence to cope with threats from the disasters and be more likely to take aggressive defensive actions. Reference Paek, Hilyard and Freimuth29,Reference Mulilis, Duval and Bovalino30 In addition, education may increase residents’ awareness about the seriousness of disaster damage and enhance the learning of preparedness knowledge and skills and the ability to obtain disaster information. Reference Hoffmann and Muttarak31,Reference Muttarak and Pothisiri32 Disaster survivors with higher education levels showed better prevention, preparation, and action in response to natural disasters. Reference Muttarak and Pothisiri32

China has suffered severe losses from various natural disasters now and then. Reference Zhou, Guo and Deng33,Reference Zeng, Guo and Deng34 The Wenchuan earthquake occurred in Sichuan Province on May 12, 2008. It is the most destructive earthquake with the broadest range, the heaviest disaster loss, and the most challenging disaster relief since the establishment of the People’s Republic of China. Existing literature indicated that disaster experiences have effects on disaster preparedness, whether in a short time or a long time (ie, from several months to 5 y). Reference Malmin11,Reference Onuma, Shin and Managi13,Reference McCormick, Pevear and Rucks35,Reference Heller, Alexander and Gatz36 However, little is known about the long-term effects of disaster severity on disaster preparedness a decade after a disaster and the moderating effects of household vulnerability.

Exploring the long-term effects of disaster severity on disaster preparedness for disaster prevention, mitigation, and disaster management is highly essential and significant. Therefore, using data from survivors of the Wenchuan earthquake, we aimed to examine (1) whether the severity of the earthquake in 2008 had a long-term effect on survivors’ disaster preparedness in 2018 and (2) whether the long-term effect of disaster severity on disaster preparedness was affected by survivors’ household vulnerability in 2018.

Methods

Data

The data used are from the survey of Reconstruction and Development of Wenchuan Earthquake Area (2018), conducted in January 2018 by means of a household survey. The survey was approved and conducted by the Chinese Academy of Science and Technology for Development (CASTED) and Fafo in Norway. This survey covered 30 counties (districts) of the Chengdu, Mianyang, Guangyuan, and A’ba Prefectures in Sichuan Province, classified by the government as either “heavily affected” (zhong zaiqu) or “severely destroyed” (jizhong zaiqu) areas. Probability Proportionate to Size Sampling was conducted in this survey to select households. Based on the questionnaire, face-to-face interviews were performed within each household. In each household, the Kish table was used to select participants so that each eligible person has an equal probability of selection into the survey sample. After eliminating samples with missing values in the corresponding variables, the analytical sample size was 1420 households. In addition, the data on county death rate caused by the Wenchuan earthquake was from a book named “Sichuan earthquake relief record of Wenchuan earthquake—Disaster situation.” 37

Variables

Disaster preparedness

Based on a previous study, the following 11 preparedness activities were used to measure disaster preparedness, including 3 forms (material, knowledge and awareness, and action). Reference Chai, Han and Han38 The measurement of disaster preparedness is presented in Table 1. The answer to the 11 preparedness activities was coded as 1 (Yes) or 0 (No). The overall preparedness is the total of the 11 items, and the total of items in each sub-category was used as the disaster preparedness indicator of the sub-category. The higher score indicates more active preparedness.

Table 1. Measurement of disaster preparedness

Disaster severity

Disaster severity was measured by county death rate and housing damage. The county death rate was calculated as the proportion of deaths caused by the Wenchuan earthquake in each county to the total population of that county in 2008. Housing damage level was measured by self-rated severity of the damage to the house caused by the 2008 Wenchuan earthquake, with the coding ranging from 1 (collapse) to 5 (no damage). Among them, “slight damage” and “no damage” were merged into 1 group due to their small proportion.

Household vulnerability

Household vulnerability was measured by the households’ per-capita income and the highest years of schooling among the household members. Per-capita income was defined as the annual household income in 2018 divided by the number of household members in 2018. The highest years of schooling referred to the highest years of schooling among all household members in the same household.

Control Variables

In this study, control variables were also included in the analysis, including gender (1 = male; 0 = female), age, marital status (1 = single/divorced/widowed; 0 = married), political status (1 = Communist Party member; 0 = None-Communist Party member), and the residential area (1 = urban; 0 = rural). Based on previous studies, these variables were primary indicators being proved to be associated with disaster preparedness. Reference Ma, Guo and Deng9,Reference Malmin11,Reference Chai, Han and Han38 Specifically, Ma et al. showed that gender and age were significantly correlated with residents’ disaster knowledge and skill readiness. Reference Ma, Guo and Deng9 Also, Malmin suggested that married individuals were more likely to be fully prepared for disasters. Reference Malmin11 Additionally, Chai et al. showed that residents with party membership were more likely to be prepared for disasters, and there are significant differences in material disaster preparedness between urban and rural areas. Reference Chai, Han and Han38

Statistical Analysis

The description of disaster preparedness (including overall, material, knowledge and awareness, and action disaster preparedness), disaster severity (including the county death rate and housing damage), and other characteristics of the respondents was first presented through descriptive analysis. Additionally, multivariable linear regression models were used to explore the association between disaster severity and disaster preparedness. Furthermore, the interaction terms between household vulnerability (including per-capita income and the highest years of schooling) and disaster severity were used to test whether the association between disaster severity and disaster preparedness was affected by household vulnerability. The interaction terms were examined 1 by 1 in separated models. All the control variables were adjusted in all the regression models.

Data analysis was implemented in Stata 15, and the 2-tailed P-value < 0.05 was assessed and identified as the lowest significance level in this study.

Results

Descriptive Statistics

Descriptive results are in Table 2. The average score of overall disaster preparedness of respondents was 4.742 out of 11, indicating that their disaster preparedness was poor. Additionally, among the respondents, the average score of material preparedness was 1.806 out of 5, knowledge and awareness preparedness was 2.343 out of 3, and action preparedness was 0.592 out of 3, respectively. The average earthquake death rate in each county in 2008 was 1.243%. Of all the respondents, 23.31%, 25.21%, 19.86%, and 31.62% responded with housing damage as “collapse,” “serious damaged,” “medium damaged,” and “slightly damaged/no damage,” respectively.

Table 2. Descriptive of variables (N = 1,420)

The average household per-capita income was 9980 yuan (1508.15USD) per year. The mean of the highest years of schooling was 9.93 y. Nearly 50% of the respondents were males (49.23%), and more than three-quarters of respondents were married (80.28%). The average age of respondents was approximately 56. Of all the respondents, 8.73% were Communist Party members, and more than three-quarters lived in rural areas (78.03%).

Long-Term Effects

The regression results are in Table 3. County death rate was significantly and positively associated with overall preparedness (βModel1 = 0.043; P < 0.05), knowledge and awareness preparedness (βModel3 = 0.018; P < 0.05). However, the correlation between housing damage and overall preparedness or any sub-category of preparedness was not significant. Regarding household vulnerability, per-capita income and the highest years of schooling were significantly and positively associated with the overall and all 3 sub-categories of disaster preparedness. In other words, households with higher household per-capita income and the highest years of schooling were more likely to conduct disaster preparedness (including overall preparedness, material preparedness, knowledge and awareness preparedness, and action preparedness).

Table 3. Association between disaster severity and disaster preparedness (N = 1,420) a

a Standard errors in parentheses.

*P < 0.05.

**P < 0.01.

***P < 0.001.

Moderating Effects

The moderating effect of household vulnerability on the long-term effect of disaster severity on disaster preparedness was further examined. Table 4 shows that the long-term effect of county death rate on overall disaster preparedness, material preparedness, and action preparedness was affected by per-capita income. The interaction term between per-capita income and county death rate was significantly and negatively associated with overall preparedness (βModel1 = -0.065; P < 0.05), material preparedness (βModel2 = −0.037; P < 0.05), and action preparedness (βModel4 = −0.034; P < 0.01). However, neither the long-term effect of county death rate on overall disaster preparedness nor any sub-category of disaster preparedness was affected by the highest years of schooling (Appendix Table 1). Also, neither the long-term effect of housing damage on overall disaster preparedness nor any sub-category of disaster preparedness was affected by household vulnerability (including per-capita income and the highest years of schooling) (Appendix Tables 2-3).

Table 4. Moderating effects of per-capita income on the association between county death rate and disaster preparedness (N = 1420) a

a Standard errors in parentheses.

*P < 0.05.

**P < 0.01.

***P < 0.001.

The significant moderating effects of per-capita income are plotted in Figure 1 according to the results of Model 1, Model 2, and Model 4 in Table 4. Specifically, with the increase in county death rate, the difference in overall preparedness between households with low per-capita income and households with high per-capita income narrowed (Figure 1A). In other words, compared with households with high per-capita income, the county death rate was more strongly associated with overall preparedness for households with low per-capita income. The same patterns were also shown for material preparedness (Figure 1B) and action preparedness (Figure 1C).

Figure 1. Moderating effects of per-capita income.

Discussions and Conclusions

Disasters pose a threat to human health and safety. Strengthening disaster preparedness is of great significance for public health. This study examined the long-term (10-y) effect of disaster severity of the Wenchuan earthquake on survivors’ disaster preparedness and the moderating effects of household vulnerability.

We found that disaster severity had positive and long-term effects on survivors’ disaster preparedness. Even a decade after the 2008 Wenchuan earthquake, survivors’ disaster preparedness in 2018 was still affected by the severity of the disaster damage in 2008. At the county level, the higher the county death rate in 2008, the better survivors’ disaster preparedness in 2018 would be. Specifically, survivors living in counties with a higher county death rate had better overall preparedness and knowledge and awareness preparedness than those living in counties with a lower county death rate. As the casualties caused by the earthquake were a huge shock for the survivors, emotionally and psychologically, it may be difficult for the survivors to recover from the casualties. However, the results showed that survivors’ housing damage in 2008 was not significantly related to disaster preparedness in 2018.

Additionally, our study further examined the moderating role of household vulnerability between disaster severity and disaster preparedness. The results indicated that the positive and long-term effects of county death rate on disaster preparedness were affected by survivors’ household per-capita income. Specifically, the positive association of county death rate with overall preparedness becomes weaker when a household has a higher per-capita income. Also, with the household per-capita income increasing, the associations of county death rate with material preparedness and action preparedness become weaker. It might be because people with higher household per-capita income (ie, lower vulnerability) can prepare for disaster; hence, they will take action for disaster preparedness regardless of disaster severity. By contrast, for people with lower household per-capita income (ie, higher vulnerability), their disaster preparedness is highly selective because their resources are limited. Only when they experience high disaster severity will they take action for disaster preparedness.

There were several limitations in this study. Due to the limitations of the study design, it is unknown whether other disasters after the Wenchuan earthquake have affected the disaster preparedness of survivors. In addition, the information on injury or death of household members, relatives, or friends of the interviewed households was not collected and, therefore, cannot be used to measure disaster severity in our study.

Authors contributions

Y.X. was responsible for literature review, formal analysis, data interpretation, drafting, and write-up of the manuscript; J.W. oversaw the whole study and was responsible for data collection, data interpretation, study design, and write-up of the manuscript; Y.H. was responsible for data interpretation, study design, and write-up of the manuscript; Y.Z. was responsible for data collection, editing, writing, and reviewing.

Funding statement

This study was supported by National Social Science Fund of China (No. 17ASH007) and National Social Science Fund of China (No. 18BSH068).

Competing interests

The authors have no conflicts of interest to declare.

Appendix

Table 1. Moderating effects of the highest years of schooling between county death and disaster preparedness (N = 1420) a

*P < 0.05.

**P < 0.01.

***P < 0.001.

Table 2. Moderating effects of per-capita income between housing damage and disaster preparedness (N = 1420) a

*P < 0.05.

**P < 0.01.

***P < 0.001.

Table 3. Moderating effects of the highest years of schooling between housing damage and disaster preparedness (N = 1420) a

*P < 0.05.

**P < 0.01.

***P < 0.001.

Footnotes

a Standard errors in parentheses.

a Standard errors in parentheses.

a Standard errors in parentheses.

References

UNISDR. UNISDR terminology on disaster risk reduction. 2009. Accessed May 19, 2024. http://unisdr.org/files/7817_UNISDRTerminologyEnglish.pdf Google Scholar
Xu, D, Zhou, W, Deng, X, et al. Information credibility, disaster risk perception and evacuation willing-ness of rural households in China. Nat Hazards (Dordr). 2020;103(5):2865-2882. doi: 10.1007/s11069-020-04106-5 CrossRefGoogle Scholar
Xu, D, Yong, Z, Deng, X, et al. Financial preparation, disaster experience, and disaster risk perception of rural households in earthquake-stricken areas: evidence from the Wenchuan and Lushan Earthquakes in China’s Sichuan Province. Int J Environ Res Public Health. 2019;16(18):3345. doi: 10.3390/ijerph16183345 CrossRefGoogle ScholarPubMed
Galea, S, Nandi, A, Vlahov, D. The epidemiology of post-traumatic stress disorder after disasters. Epidemiol Rev. 2005;27:78-91. doi: 10.1093/epirev/mxi003 CrossRefGoogle ScholarPubMed
Kiliç, EZ, Ozgüven, HD, Sayil, I. The psychological effects of parental mental health on children experiencing disaster: the experience of Bolu earthquake in Turkey. Fam Process. 2003;42(4):485-495. doi: 10.1111/j.1545-5300.2003.00485.x CrossRefGoogle ScholarPubMed
Calvo, R, Arcaya, M, Baum, CF, et al. Happily ever after? Pre-and-Post disaster determinants of happiness among survivors of Hurricane Katrina. J Happiness Stud. 2015;16(2):427-442. doi: 10.1007/s10902-014-9516-5 CrossRefGoogle ScholarPubMed
Ardalan, A, Mazaheri, M, Vanrooyen, M, et al. Post-disaster quality of life among older survivors five years after the Bam earthquake: implications for recovery policy. Ageing Soc. 2011;31(2):179-196. doi: 10.1017/S0144686X10000772 CrossRefGoogle Scholar
Han, Y, Wei, J, Zhao, Y. Long-term effects of housing damage on survivors’ health in rural China: evidence from a survey 10 years after the 2008 Wenchuan earthquake. Soc Sci Med. 2021;270:113641. doi: 10.1016/j.socscimed.2020.113641 CrossRefGoogle ScholarPubMed
Ma, ZX, Guo, S, Deng, X, et al. Community resilience and resident’s disaster preparedness: evidence from China’s earthquake-stricken areas. Nat Hazards (Dordr). 2021;108:567-591. doi: 10.1007/s11069-021-04695-9 CrossRefGoogle Scholar
Qing, C, Deng, X, Xu, D. Farmers’ disaster preparedness and quality of life in earthquake-prone areas: the mediating role of risk perception. Int J Disaster Risk Reduct. 2021;59(5):102252. doi: 10.1016/j.ijdrr.2021.102252 CrossRefGoogle Scholar
Malmin, NP. Historical disaster exposure and household preparedness across the United States. Disaster Med Public Health Prep. 2020;15(1):58-64. doi: 10.1017/dmp.2019.123 CrossRefGoogle ScholarPubMed
Osberghaus, D. The determinants of private flood mitigation measures in Germany: evidence from a nationwide survey. Ecol Econ. 2015;110(C):36-50. doi: 10.1016/j.ecolecon.2014.12.010 CrossRefGoogle Scholar
Onuma, H, Shin, KJ, Managi, S. Household preparedness for natural disasters: impact of disaster experience and implications for future disaster risks in Japan. Int J Disaster Risk Reduction. 2016;21(4):148-158. doi: 10.1016/j.ijdrr.2016.11.004 CrossRefGoogle Scholar
Chan, EYY, Man, AYT, Lam, HCY, et al. 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(4):596. doi: 10.3390/ijerph16040596 CrossRefGoogle ScholarPubMed
Mileti, DS, O’Brien, P. Public response to aftershock warnings. US Geological Survey Professional Paper. 1993;1553(Part 2):B31-B41. https://www.mendeley.com/catalogue/7d01eb4b-8e35-3547-b368-37b3a43b13c9/ Google Scholar
Han, Z, Nigg, J. The influences of business and decision makers’ characteristics on disaster preparedness—a study on the 1989 Loma Prieta earthquake. Int J Disaster Risk Sci. 2011;2:22-31. doi: 10.1007/s13753-011-0017-4 CrossRefGoogle Scholar
Heller, K, Alexander, DB, Gatz, M, et al. Social and personal factors as predictors of earthquake preparation: the role of support provision, network discussion, negative affect, age, and education. J Appl Soc Psychol. 2005;35(2):399-422. doi: 10.1111/j.1559-1816.2005.tb02127.x CrossRefGoogle Scholar
Turner, R, Nigg, J, Paz, D. Waiting for Disaster: Earthquake Watch in California. University of California Press. 1987:1-446. Accessed May 19, 2024. https://www.mendeley.com/catalogue/803e18e4-c70d-3f2c-8744-d975e3116dc2/ Google Scholar
Xu, D, Liu, Y, Deng, X, et al. Earthquake disaster risk perception process model for rural households: a pilot study from southwestern China. Int J Environ Res Public Health. 2019;16(22):4512. doi: 10.3390/ijerph16224512 CrossRefGoogle ScholarPubMed
Howe, PD. Modeling geographic variation in household disaster preparedness across U.S. states and metropolitan areas. Prof Geogr. 2018;70(1):1-13. doi: 10.1080/00330124.2017.1416301 CrossRefGoogle Scholar
Drafting Group of the World Development Report 2000/2001. World Development Report 2000/2001. China Financial & Economic Publishing House; 2001:139-141.Google Scholar
Alexander, E. Confronting Catastrophe: New Perspectives on Natural Disasters. Terra and Oxford University Press; 2000.Google Scholar
UNDP. Reducing Disaster Risk: A Challenge for Development. United Nations Development Programme, Bureau for Crisis Prevention and Recovery; 2004.Google Scholar
Zhang, H. Household vulnerability and economic status during disaster recovery and its determinants: a case study after the Wenchuan earthquake. Nat Hazards (Dordr). 2016;83(3):1505-1526. doi: 10.1007/s11069-016-2373-2 Google Scholar
Shah, AA, Ye, J, Abid, M, et al. Flood hazards: household vulnerability and resilience in disaster-prone districts of Khyber Pakhtunkhwa province, Pakistan. Nat Hazards (Dordr). 2018;93(1):147-165. doi: 10.1007/s11069-018-3293-0 CrossRefGoogle Scholar
Sun, M, Chen, B, Ren, J, et al. Natural disaster’s impact evaluation of rural households’ vulnerability: the case of Wenchuan earthquake. Agric Agric Sci Procedia. 2010;1:52-61. doi: 10.1016/j.aaspro.2010.09.007 Google Scholar
Yong, AG, Lemyre, L, Pinsent, C, et al. Risk perception and disaster preparedness in immigrants and Canadian-born adults: analysis of a national survey on similarities and differences. Risk Anal. 2017;37(12):2321-2333. doi: 10.1111/risa.12797 CrossRefGoogle ScholarPubMed
Wang, Z, Han, Z, Liu, L, et al. Place attachment and household disaster preparedness: examining the mediation role of self-efficacy. Int J Environ Res Public Health. 2021;18(11):5565. doi: 10.3390/ijerph18115565 CrossRefGoogle ScholarPubMed
Paek, H-J, Hilyard, K, Freimuth, V, et al. Theory-based approaches to understanding public emergency preparedness: implications for effective health and risk communication. J Health Commun. 2010;15(4):428-444. doi: 10.1080/10810731003753083 CrossRefGoogle ScholarPubMed
Mulilis, J-P, Duval, TS, Bovalino, K. Tornado preparedness of students, nonstudent renters, and nonstudent owners: issues of PrE theory. J Appl Soc Psychol. 2000;30(6):1310-1329. doi: 10.1111/j.1559-1816.2000.tb02522.x CrossRefGoogle Scholar
Hoffmann, R, Muttarak, R. Learn from the past, prepare for the future: impacts of education and experience on disaster preparedness in the Philippines and Thailand. World Dev. 2017;96:32-51. doi: 10.1016/j.worlddev.2017.02.016 CrossRefGoogle Scholar
Muttarak, R, Pothisiri, W. The role of education on disaster preparedness case study of 2012 Indian ocean earthquakes on Thailand’s Andaman Coast. Ecol Soc. 2013;18(4):51. doi: 10.5751/ES-06101-180451 CrossRefGoogle Scholar
Zhou, W, Guo, S, Deng, X, et al. Livelihood resilience and strategies of rural residents of earthquake-threatened areas in sichuan province China. Nat Hazards (Dordr). 2021;106(1):255-275. doi: 10.1007/s11069-020-04460-4 CrossRefGoogle ScholarPubMed
Zeng, X, Guo, S, Deng, X, et al. Livelihood risk and adaptation strategies of farmers in earthquake hazard threatened areas: evidence from Sichuan Province China. Int J Disaster Risk Reduct. 2021;53(1):101971. doi: 10.1016/j.ijdrr.2020.101971 CrossRefGoogle Scholar
McCormick, LC, Pevear, J III, Rucks, AC, et al. The effects of the April 2011 tornado outbreak on personal preparedness in Jefferson County, Alabama. J Public Health Manag Pract. 2014;20(4):424-431. doi: 10.1097/PHH.0b013e3182a45104 CrossRefGoogle ScholarPubMed
Heller, K, Alexander, DB, Gatz, M, et al. Social and personal factors as predictors of earthquake preparation: the role of support provision, network discussion, negative affect, age, and education. J Appl Soc Psychol. 2005;35(2):399-422. doi: 10.1111/j.1559-1816.2005.tb02127.x CrossRefGoogle Scholar
Sichuan Provincial Office of Local Chronicles. Sichuan earthquake relief record of Wenchuan earthquake—disaster situation. Sichuan People’s Publishing House. 2017;165-188.Google Scholar
Chai, L, Han, Y, Han, Z, et al. Differences in disaster preparedness between urban and rural com-munities in China. Int J Disaster Risk Reduct. 2021;53:102020. doi: 10.1016/j.ijdrr.2020.102020 CrossRefGoogle Scholar
Figure 0

Table 1. Measurement of disaster preparedness

Figure 1

Table 2. Descriptive of variables (N = 1,420)

Figure 2

Table 3. Association between disaster severity and disaster preparedness (N = 1,420)a

Figure 3

Table 4. Moderating effects of per-capita income on the association between county death rate and disaster preparedness (N = 1420)a

Figure 4

Figure 1. Moderating effects of per-capita income.

Figure 5

Table 1. Moderating effects of the highest years of schooling between county death and disaster preparedness (N = 1420)a

Figure 6

Table 2. Moderating effects of per-capita income between housing damage and disaster preparedness (N = 1420)a

Figure 7

Table 3. Moderating effects of the highest years of schooling between housing damage and disaster preparedness (N = 1420)a