| Literature DB >> 33968602 |
Azeez A Barzinjy1,2, Kareem F Aziz3, Bashdar M Hussen4, Saleem S Qader5, Samir M Hamad6,7, Arez S Qader8, Abdullah L Jamal9.
Abstract
BACKGROUND AND OBJECTIVES: The World Health Organization (WHO) announced the appearance of a new coronavirus disease in Hubei province, China, to be a public health emergency of international concern. The objectives of this study can be highlighted through classifying the information sources for identifying protective practices, death probability, gender-death associations probability and education level.Entities:
Keywords: COVID-19; Epidemic; Fear; Kurdistan region; Precautionary measure
Year: 2021 PMID: 33968602 PMCID: PMC8091631 DOI: 10.1007/s10389-021-01568-0
Source DB: PubMed Journal: Z Gesundh Wiss ISSN: 0943-1853
Fig. 1The shaded area includes sampled areas from the Iraqi Kurdistan Region
Fig. 2The main sources of information about COVID-19
Socio-demographic characteristics of the sample study
| Sociodemographic data | Incidence | Percent | |
|---|---|---|---|
| Gender | Male | 133 | 41.6% |
| Female | 187 | 58.4% | |
| Age (mean ± std. deviation) | 32.76 ± 12.11 | ||
| Age group | 18 years or younger | 24 | 7.5% |
| 19–24 years | 89 | 27.8% | |
| 25–30 years | 25 | 7.8% | |
| 31–36 years | 74 | 23.1% | |
| 37–42 years | 44 | 13.8% | |
| 43 years or older | 64 | 20.0% | |
| Family status | Single | 149 | 46.6% |
| Married | 169 | 52.8% | |
| Divorced | 2 | 0.6% | |
| Address | Erbil | 247 | 77.2% |
| Sulaymaniyah | 41 | 12.8% | |
| Duhok | 13 | 4.1% | |
| Other cities (Halabja& Kirkuk) | 19 | 5.9% | |
| Education level | High school | 10 | 3.1% |
| Undergraduate | 101 | 31.6% | |
| Postgraduate | 186 | 58.1% | |
| Others | 23 | 7.2% | |
Practices of protection measures against COVID-19 to decrease fear
| Protection against COVID-19 | Education level | None | Sometimes | Always | |
|---|---|---|---|---|---|
| Washing hands frequently | High-school (3.1%) | 3 (30%) | 3 (30%) | 4 (40%) | 0.04 |
| Undergraduate (31.6%) | 5 (5%) | 18 (17%) | 78 (78%) | ||
| Postgraduate (58.1%) | 9 (4.8%) | 36 (19.4%) | 141 (75.8%) | ||
| Others (7.2%) | 1 (4.4%) | 2 (8.6%) | 20 (87%) | ||
| Avoiding travel to affected places | High-school (3.1%) | 4 (40%) | 3 (30%) | 3 (30%) | 0.01 |
| Undergraduate (31.6%) | 6 (6%) | 11 (10%) | 84 (84%) | ||
| Postgraduate (58.1%) | 12 (6.4%) | 22 (11.6%) | 152 (82%) | ||
| Others (7.2%) | 1 (4.3%) | 2 (8.6%) | 20 (87%) | ||
| Stay at home | High-school (3.1%) | 2 (20%) | 6 (60%) | 2 (20%) | 0.01 |
| Undergraduate (31.6%) | 8 (8%) | 14 (13%) | 79 (79%) | ||
| Postgraduate (58.1%) | 16 (8.6%) | 53 (28.4%) | 117 (63%) | ||
| Others (7.2%) | 1 (4.3%) | 4 (17.4%) | 18 (78.3%) | ||
| Avoiding people sneezing or coughing | High-school (3.1%) | 3 (30%) | 4 (40%) | 3 (30%) | 0.04 |
| Undergraduate (31.6%) | 7 (7%) | 31 (30%) | 63 (63%) | ||
| Postgraduate (58.1%) | 12 (6.4%) | 43 (23%) | 131 (70.6%) | ||
| Others (7.2%) | 1 (4.4%) | 2 (8.6%) | 20 (87%) | ||
| Avoiding people suspected to be sick | High-school (3.1%) | 3 (30%) | 5 (50%) | 2 (20%) | 0.01 |
| Undergraduate (31.6%) | 9 (9%) | 15 (14.8) | 77 (76.2%) | ||
| Postgraduate (58.1%) | 12 (6.4%) | 37 (20%) | 137 (73.6%) | ||
| Others (7.2%) | 1 (4.3%) | 4 (17.5%) | 18 (78.2%) | ||
| Avoiding large gathering/meetings | High-school (3.1%) | 1 (10%) | 6 (60%) | 3 (30%) | 0.08 |
| Undergraduate (31.6%) | 7 (7%) | 20 (19%) | 74 (74%) | ||
| Postgraduate (58.1%) | 10 (5.3%) | 34 (18.3%) | 142 (76.4%) | ||
| Others (7.2%) | 0 (0%) | 3 (13%) | 20 (87%) | ||
| Wearing gloves and masks | High-school (3.1%) | 6 (60%) | 4 (40%) | 0 (0%) | 0.07 |
| Undergraduate (31.6%) | 19 (19%) | 47 (47%) | 35 (34%) | ||
| Postgraduate (58.1%) | 29 (15.6%) | 86 (46.2%) | 71 (38.2%) | ||
| Others (7.2%) | 3 (13%) | 10 (43.5%) | 10 (43.5%) |
Probability of death by multiple causes and fear about that
| Causes | Gender | Extremely low | Low | Intermediate | High | Extremely high | |
|---|---|---|---|---|---|---|---|
| COVID-19 | Female (187) | 19 (10%) | 68 (36%) | 78 (42%) | 18 (9.6%) | 4 (2.4%) | 0.001 |
| Male (133) | 39 (29%) | 54 (41%) | 32 (24%) | 8 (6%) | 0 (0%) | ||
| Cancer | Female (187) | 8 (4.2%) | 18 (9.6%) | 78 (42%) | 67 (36%) | 16 (8.2%) | 0.9 |
| Male (133) | 6 (4.5%) | 26 (19.5%) | 44 (33%) | 45 (34%) | 12 (9%) | ||
| Heart disease | Female (187) | 9 (5%) | 18 (10%) | 76 (40%) | 63 (34%) | 21 (11%) | 0.6 |
| Male (133) | 5 (3.7%) | 17 (13%) | 48 (36%) | 53 (40%) | 10 (7.3%) | ||
| Diabetes | Female (187) | 10 (5.3%) | 45 (24%) | 83 (44.4%) | 41 (22%) | 8 (4.3%) | 0.1 |
| Male (133) | 12 (9%) | 33 (25%) | 60 (45.3%) | 27 (20%) | 1 (0.7%) | ||
| Road traffic accidents | Female (187) | 7 (3.7%) | 18 (9.3%) | 67 (36%) | 58 (31%) | (20%) | 0.3 |
| Male (133) | 6 (4.5%) | 20 (15%) | 50 (37.5%) | 36 (27%) | 21 (16%) | ||
| Smoking | Female (187) | 24 (13%) | 15 (8%) | 75 (40%) | 59 (31.5%) | 14 (7.5%) | 0.1 |
| Male (133) | 15 (11.3%) | 24 (18%) | 43 (32.3%) | 40 (30%) | 11 (8.4%) |