| Literature DB >> 35605634 |
Thi Phuoc Lai Nguyen1, Siwarat Pattanrsi2.
Abstract
This study aimed to analyze the influence of ethnicity and other demographic and social factors on urban slum dwellers' threat appraisal, awareness, and protective practices against COVID-19. It was conducted via 20 semi-structured interviews and 453 questionnaires for different ethnic groups from Thailand, Myanmar, Laos, and Cambodia in the slum communities of Khlong Toei, Bangkok-the largest slum in Thailand. A phenomenological approach was used to analyze the semi-structured interviews to understand dwellers' lived experiences and behaviors regarding COVID-19. The questionnaire data were analyzed using descriptive statistics and a multiple regression model. The main findings in this study were that age (elderly people), gender (female), ethnicity (foreign ethnic groups), and type of residential occupancy (living in unoccupied spaces, under tollways, and by railroads) were significant risk factors for vulnerability to COVID-19. Type of residential occupancy and occupation (daily wage workers) were risk factors for severity of COVID-19. Higher education and female gender were factors influencing COVID-19 awareness in all ethnic groups; women tended to practice COVID-19 protection guidelines better than men. Foreign ethnic groups and daily wage workers also performed better in COVID-19 protection practices than other groups. This study appeals for urgent intervention and special assistance from development organizations, the government, and society to ensure slum communities' access to clean water, sanitation, and health care, using dwellers' sociodemographic characteristics and ethnicity to help enhance their threat appraisal capacity and coping strategies with regard to the pandemic.Entities:
Year: 2022 PMID: 35605634 PMCID: PMC9294679 DOI: 10.4269/ajtmh.21-1096
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 3.707
Figure 1.Khlong Toei slum communities in the Khlong Toei District, Bangkok, Thailand. This figure appears in color at www.ajtmh.org.
Sociodemographic characteristics of respondents (N = 453)
| Characteristic | No. of respondents | Frequency, % |
|---|---|---|
| Age, y | ||
| 15–17 | 80 | 17.66 |
| 18–35 | 130 | 28.70 |
| 36–69 | 136 | 30.02 |
| > 70 | 107 | 23.62 |
| Gender | ||
| Male | 220 | 48.57 |
| Female | 233 | 51.43 |
| Education | ||
| Illiterate | 79 | 17.44 |
| Primary school | 145 | 32.01 |
| Secondary school | 112 | 24.72 |
| Tertiary school | 92 | 20.31 |
| Other | 25 | 5.52 |
| Nationality | ||
| Thailand | 401 | 88.52 |
| Myanmar | 32 | 7.06 |
| Laos | 8 | 1.77 |
| Cambodia | 12 | 2.65 |
| Marital status | ||
| Single | 195 | 43.05 |
| Married | 195 | 43.05 |
| Separated | 13 | 2.87 |
| Co-living | 25 | 5.52 |
| Widow | 25 | 5.52 |
| Residential occupancy | ||
| Own home | 54 | 11.92 |
| Squatter | 216 | 47.68 |
| Renter | 106 | 23.40 |
| Living with host family | 21 | 4.64 |
| Other | 56 | 12.36 |
| Occupation | ||
| Small seller | 65 | 14.35 |
| Daily wage worker | 153 | 33.77 |
| Unemployed | 101 | 22.30 |
| Student | 81 | 17.88 |
| Employee | 24 | 5.30 |
| Other | 29 | 6.40 |
Urban slum dwellers’ perceived vulnerability to and severity of COVID-19
| Perceived vulnerability and severity | No. of agreed respondents | Frequency, % ( |
|---|---|---|
| Perceived vulnerability | ||
| Poor health | 205 | 45.25 |
| Unsafe and exposed work environment | 225 | 49.67 |
| Many children and elderly people in the family | 295 | 65.12 |
| House condition not fit for preventing COVID-19 | 260 | 57.40 |
| Living in a crowded, dense community | 285 | 62.91 |
| Perceived severity | ||
| Elderly, children, and sick people affected most. | 380 | 83.89 |
| COVID-19 causes mental health issues. | 308 | 67.99 |
| Unaffordable medical expenses and inappropriate WASH facilities | 301 | 66.45 |
| Loss of job and income during COVID-19 | 329 | 72.63 |
| Inadequate protection information and assistance | 300 | 66.23 |
WASH = water, sanitation, and hygiene.
Urban slum dwellers’ awareness of and practices against contracting COVID-19
| Awareness and practices | No. of agreed respondents | Frequency, % ( |
|---|---|---|
| Awareness of COVID-19 | ||
| COVID-19 is caused by a unique group of viruses transmitted from animal to human. | 168 | 37.09 |
| Signs of COVID-19 infection include respiratory symptoms, fever, cough, shortness of breath, and difficulty breathing. | 340 | 75.06 |
| The incubation period of COVID-19 (2–14 days) | 357 | 78.81 |
| Awareness of protection practices | ||
| Handwashing, wearing mask, and social distancing limit COVID-19 transmission. | 404 | 89.18 |
| Indoor and outdoor disinfection disactivate the virus spread. | 358 | 79.03 |
| Segregating, recycling, and disposing of medical waste reduce risk of contracting the virus. | 309 | 68.21 |
| Daily practices of COVID-19 prevention | ||
| Wash hands with soap regularly. | 384 | 84.77 |
| Avoid contact with sick people. | 334 | 73.73 |
| Practice social distancing of 2 m. | 314 | 69.32 |
| Wear mask in public. | 375 | 82.78 |
| Separate tissues/mask garbage at home. | 221 | 48.79 |
| Clean and disinfect household objects. | 258 | 56.95 |
| Stay a home when with fever. | 348 | 76.82 |
Multi-regression analysis of factors affecting urban slum dwellers’ perceived vulnerability to, severity of, awareness of, and practices against contracting COVID-19
| Characteristic | Perceived vulnerability | Perceived severity | Awareness | Practice | ||||
|---|---|---|---|---|---|---|---|---|
| β | β | β | β | |||||
| Age | 0.182 | < 0.001 | 0.033 | 0.59 | 0.052 | 0.40 | 0.125 | 0.04 |
| Gender | –0.102 | 0.02 | 0.055 | 0.24 | 0.061 | 0.21 | –0.113 | 0.01 |
| Educational level | –0.081 | 0.13 | 0.07 | 0.207 | 0.136 | 0.02 | 0.077 | 0.17 |
| Nationality | –0.173 | < 0.001 | –0.078 | 0.11 | 0.039 | 0.44 | –0.114 | 0.02 |
| Marital status | –0.024 | 0.62 | –0.082 | 0.11 | –0.091 | 0.08 | –0.092 | 0.07 |
| Residential occupancy | –0.105 | 0.02 | –0.146 | < 0.001 | –0.112 | 0.02 | –0.16 | 0.74 |
| Occupation | –0.037 | 0.44 | –0.24 | < 0.001 | –0.075 | 0.14 | –0.134 | 0.00 |
| Model | < 0.001 | < 0.001 | 0.058 | < 0.001 | ||||
| 0.13 | 0.08 | 0.03 | 0.06 | |||||