| Literature DB >> 33984022 |
Anteneh Fikrie1,2, Mihiret Kayamo2, Henok Bekele2,3.
Abstract
BACKGROUND: Despite it is easily preventable; malaria is still remains to be a major public health problem in globally as well as in Ethiopia. The disease can be easily prevented through individual and societal combined efforts by keeping the environment safe, effective utilization of long lasting Insecticide Nets and early treatment. However, the factors for poor knowledge and practices of malaria prevention is not well studied in Ethiopia; particularly, in the study area. Hence, this study aimed to provide concrete evidence towards malaria prevention practices and associated factors among Households of Hawassa City Administration, Southern Ethiopia, 2020.Entities:
Year: 2021 PMID: 33984022 PMCID: PMC8118284 DOI: 10.1371/journal.pone.0250981
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic and economic characteristics of respondents at Hawassa City, South Ethiopia, 2020.
| Variable | Category | Frequency | Percent % |
|---|---|---|---|
| Age in years | ≤24 | 99 | 17 |
| 25–34 | 237 | 40.6 | |
| 35–44 | 139 | 23.8 | |
| ≥45 | 109 | 18.7 | |
| Sex | Female | 330 | 56.5 |
| Male | 254 | 43.5 | |
| Residence | Rural | 169 | 28.9 |
| Urban | 415 | 71.1 | |
| Marital status | Married | 553 | 94.7 |
| Single | 9 | 1.5 | |
| Divorced | 19 | 3.3 | |
| Widowed | 3 | .5 | |
| Educational status | No formal education | 68 | 11.6 |
| Primary completed | 183 | 31.3 | |
| Secondary completed | 197 | 33.7 | |
| Tertiary completed | 136 | 23.3 | |
| Household monthly income | ≤ 1000 ETB | 180 | 30.8 |
| 1001–2575 ETB | 181 | 31.0 | |
| > 2575 ETB | 223 | 38.2 | |
| Occupational status | House wife | 66 | 11.3 |
| Farmer | 94 | 16.1 | |
| Employed | 413 | 70.7 | |
| Merchants | 11 | 1.9 |
Knowledge about malaria prevention and control among households in Hawassa City, South Ethiopia, 2020 (n = 584).
| Variable | Category | No. | Percent % |
|---|---|---|---|
| Cause of malaria was parasites | Yes | 453 | 77.6 |
| No | 131 | 22.4 | |
| Signs/symptoms of malaria | Fevered | 310 | 53.1 |
| Chills | 134 | 22.9 | |
| Headache | 67 | 11.5 | |
| Joint pain | 64 | 11.0 | |
| Vomiting | 9 | 1.5 | |
| Mosquito bite mostly during | Day | 109 | 18.7 |
| Night | 475 | 81.3 | |
| Common breeding sites | Dry area | 37 | 6.3 |
| Water body | 547 | 93.7 | |
| Common resting sites | House | 506 | 86.6 |
| Outside house | 78 | 13.4 | |
| Mode of transmission | Mosquito bite | 554 | 94.9 |
| Fly bite & Drinking water | 30 | 5.1 | |
| Prevention methods of malaria | ITN use | 571 | 97.8 |
| Drainage of stagnant water | 529 | 90.6 | |
| Covering body parts | 259 | 44.3 | |
| Repellant use | 495 | 84.8 | |
| Close openings | 323 | 55.3 | |
| Advantage of ITN | Prevent mosquito bite | 558 | 95.6 |
| Attract mosquito | 26 | 4.4 | |
| Most at risk group affected by malaria | Pregnant & children | 356 | 61 |
| Others | 228 | 39 | |
| Knowledge | Good | 373 | 63.9 |
| Poor | 211 | 36.1 |
Attitude towards malaria prevention and control among households in Hawassa City, South Ethiopia, 2020.
| Variables | Disagree | Not sure | Agree | |||
|---|---|---|---|---|---|---|
| No. | (%) | No. | (%) | No. | (%) | |
| Malaria is a fatal disease | 144 | (24.7) | 115 | (19.7) | 325 | (55.7) |
| Malaria is a communicable disease | 143 | (24.5) | 114 | (19.5) | 327 | (56.0) |
| The best way to protect myself getting from Malaria is avoiding mosquito bites | 141 | (24.1) | 112 | (19.2) | 331 | (56.7) |
| Anyone can get Malaria | 152 | (26.0) | 125 | (21.4) | 307 | (52.6) |
| Sleeping under a mosquito net during the night is prevent from Malaria | 141 | (24.1) | 132 | (22.6) | 311 | (53.3) |
| Self-treatment may dangers one’s health | 134 | (22.9) | 140 | (24.0) | 310 | (53.1) |
| Children and pregnant women are at higher risk of getting Malaria | 147 | (25.2) | 126 | (21.6) | 311 | (53.3) |
| Malaria recover without any treatment | 132 | (22.6) | 142 | (24.3) | 310 | (53.1) |
| Malaria can’t transmit through contact with others | 142 | (24.3) | 109 | (18.7) | 333 | (57.0) |
| Working/ sitting at night time in the outside had greater risk of getting Malaria | 144 | (24.7) | 126 | (21.6) | 314 | (53.8) |
| When Malaria medicine is not taken completely, bad consequences will be resulted | 145 | (24.8) | 126 | (21.6) | 313 | (53.6) |
| Anti-Malaria drugs can be easily purchased from the drug store/pharmacy so as to treat myself when I get Malaria | 140 | (24.0) | 119 | (20.4) | 325 | (55.7) |
| I think that I should have a blood test if i will have a fever | 139 | (23.8) | 130 | (22.3) | 315 | (53.9) |
| I will seek for advice in case I have contracted Malaria | 146 | (25.0) | 116 | (19.9) | 322 | (55.1) |
| Checking the expiry date of anti-malaria drug is very important before taking it. | 158 | (27.1) | 109 | (18.7) | 317 | (54.3) |
| Attitude | ||||||
| Negative 248 (42.5%) | ||||||
| Positive 336 (57.5%) | ||||||
Practice of malaria prevention among households at in Hawassa City, South Ethiopia, 2020.
| Variables | Never | Sometimes | Always | |||
|---|---|---|---|---|---|---|
| No. | (%) | No. | (%) | No. | (%) | |
| How frequently do you sleep in ITN | 155 | (26.5) | 172 | (29.5) | 257 | (44.0) |
| How frequently others members you family sleep in ITN | 139 | (23.8) | 214 | (36.6) | 231 | (39.6) |
| How frequently you used mosquito repellents | 133 | (22.8) | 206 | (35.3) | 245 | (42.0) |
| How frequently you used anti-mosquito spray in your house | 141 | (24.1) | 197 | (33.7) | 246 | (42.1) |
| How frequently your house sprayed with anti-mosquito chemical spray (IRS) | 136 | (23.3) | 211 | (36.1) | 237 | (40.6) |
| How frequently do you clean/cut bushes surrounding your house | 148 | (25.3) | 188 | (32.2) | 248 | (42.5) |
| How frequently do you clean the stagnant water near in your house | 134 | (22.9) | 210 | (36.0) | 240 | (41.1) |
| How frequently do you visit Health Center Hospital/ Clinic when you feel sick | 212 | (36.3) | 195 | (33.4) | 177 | (30.3) |
| How frequently did you receive home-to-home visits by the nearby health extension workers | 298 | (51.0) | 141 | (24.1) | 145 | (24.8) |
| How frequently did you participated in malaria prevention campaigns | 319 | (54.6) | 144 | (24.7) | 121 | (20.7) |
Bivariable and multivariable logistic regression analysis for malaria prevention practice and associated factors among households in Hawassa City, South Ethiopia, 2020.
| Variable | Malaria prevention practice | |||||||
|---|---|---|---|---|---|---|---|---|
| Good | Poor | |||||||
| No. | (%) | No. | (%) | COR (95% Cl) | AOR (95% Cl) | |||
| Sex | ||||||||
| Male | 127 | 50.0 | 127 | 50.0 | 1 | 1 | ||
| Female | 190 | 57.6 | 140 | 42.4 | 1.4(0.97, 1.9) | 1.33(0.87, 2.03) | ||
| Age | ||||||||
| ≤24 | 39 | 39.4 | 60 | 60.6 | 0.66(0.38–1.14) | 0.53(0.25–1.12) | ||
| 25–34 | 146 | 61.6 | 91 | 38.4 | 1.63(1.03–2.58) | 1.22(0.65–2.29) | ||
| 35–44 | 78 | 56.1 | 61 | 43.9 | 1.30(0.78–2.15) | 1.02(0.53–1.96) | ||
| ≥45 | 54 | 49.5 | 55 | 50.5 | 1 | 1 | ||
| Address | ||||||||
| Urban | 246 | 59.3 | 169 | (40.7) | 2.01(1.4, 2.88) | 1.95(1.17, 3.24) | ||
| Rural | 71 | 42.0 | 98 | (58.0) | 1 | 1 | ||
| Educational status | ||||||||
| No formal education | 18 | 26.5 | 50 | (73.5) | 1 | 1 | ||
| Primary Completed | 77 | 42.1 | 106 | (57.9) | 2.02(1.09, 3.7) | 1.81(0.83, 3.95) | ||
| Secondary Completed | 131 | 66.5 | 66 | (33.5) | 5.51(3.09, 9.9) | 5.02(2.24, 12.03) | ||
| Tertiary Completed | 91 | 69.9 | 45 | 29.1 | 5.61(2.94,10.72) | 7.27(2.84,18.55) | ||
| Household monthly income | ||||||||
| ≤ 1000 ETB | 78 | (43.3) | 102 | (56.7) | 1 | 1 | ||
| 1001–2575 ETB | 98 | (54.1) | 83 | (45.9) | 1.5(1.02, 2.3) | 1.02(0.59, 1.76) | ||
| > 2575 ETB | 141 | (63.2) | 82 | (36.8) | 2.2(1.5, 3.4) | 1.57(0.94, 2.61) | ||
| Attitude towards malaria | ||||||||
| Negative | 58 | (23.4) | 190 | (76.6) | 1 | 1 | ||
| Positive | 259 | (77.1) | 77 | (22.9) | 11.02(7.5, 16.3) | 8.20(5.31, 12.68) | ||
| Knowledge about malaria | ||||||||
| Poor | 82 | (38.9) | 129 | (61.1) | 1 | 1 | ||
| Good | 235 | (63.0) | 138 | (37.0) | 2.6(1.8, 3.7) | 2.81(1.78, 4.44) | ||
| Occupational status | ||||||||
| Employed | 249 | 60.3 | 164 | 39.7 | 2.3(1.58–3.31) | 0.73(0.41–1.30) | ||
| Non-employed | 68 | 39.8 | 103 | 60.2 | 1 | 1 | ||
NB; ETB-Ethiopian Birr(1ETB = 0.0308$)
* P-value < 0.05
** P-value < 0.01
*** P-value < 0.001 was statistically significant, 1 = Reference.