| Literature DB >> 34860859 |
Suhas Wasave1, Sangita Wasave2, Ketankumar Chaudhari1, Prakash Shingare3, Bharat Yadav1, Sandesh Patil1, Bhalchandra Naik1.
Abstract
The knowledge, awareness, and practices (KAP) about COVID-19 among the marine fishers who are engaged in the high-risk occupations and depend on the vulnerable sources of income in the Maharashtra state of India, were investigated to understand the behavioral changes and vulnerability among the respondents because of COVID-19. Data were collected through an online survey from 1st July to 30th July 2020 during the first peak of COVID-19 in the study area by using the questionnaire. Authors based on the latest recommendations by the World Health Organization (WHO) developed the questionnaire and covered the KAP aspects under study. The questionnaire was administered through Google form link and the link was disseminated through social media such as Facebook and What's App. The completed responses (n = 533) received from the eligible sample, excluding those outsides of the fisher community and duplicate entries were considered for analysis. Appropriate statistical tools were used to analyze the data. Among the respondents, 447 men (83.86%) and 86 women (16.14%), with a mean age of 45.4 years (M = 45.4, SD = 1.18). The results revealed that 70.92% of respondents perceived a low risk of infection because of COVID-19 with M = 1.77 and SD = 0.583, but authors found the perceived severity score high (M = 3.95, SD = 1.21) among the 60.97% of respondents. Around 95% of respondents were aware of the COVID-19, while almost all respondents knew the medium of infection and symptoms of COVID-19. The behavior of respondents towards COVID-19 infection was positive and was following sufficient precautionary measures suggested by WHO to protect themselves from COVID-19 infection. The results of multiple regression analysis revealed that the demographic features of respondents like age, education were significantly contributing to the KAP of the fisher community. The results confirmed the importance of KAP which is reflected in the behavioral responses of the fishers while tackling the COVID-19 pandemic situation. The results regarding the risk perception, severity, KAP about COVID-19 provide a collective understanding of the emerging infectious disease among the marine fishers of Maharashtra state of India.Entities:
Mesh:
Year: 2021 PMID: 34860859 PMCID: PMC8641885 DOI: 10.1371/journal.pone.0261055
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic factors of respondents (n = 533).
| Characteristics | Frequency | Percentage |
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| Male | 447 | 49.9 |
| Female | 86 | 50.1 |
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| 20–30 | 140 | 17.7 |
| 31–40 | 143 | 17.1 |
| 41–50 | 137 | 19.7 |
| 51–60 | 90 | 20.5 |
| ≥60 | 23 | 25.1 |
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| Primary | 73 | 13.70 |
| Secondary | 167 | 31.33 |
| Higher Secondary | 129 | 24.20 |
| Industrial Training Institute | 66 | 12.38 |
| Diploma | 41 | 7.69 |
| Graduate | 44 | 8.26 |
| Post Graduate | 13 | 2.44 |
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| Fishing | 420 | 78.80 |
| Service | 29 | 5.44 |
| Business | 57 | 10.69 |
| Agriculture | 27 | 5.07 |
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| Fishing | 113 | 21.20 |
| Service | 107 | 20.08 |
| Business | 164 | 30.77 |
| Agriculture | 149 | 27.95 |
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| Hindu | 407 | 76.36 |
| Muslim | 84 | 15.76 |
| Christian | 42 | 7.88 |
Perceived awareness about COVID-19 infection.
| Frequency | Percentage | |
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| High | 313 | 58.82 |
| Medium | 196 | 36.68 |
| Low | 24 | 4.50 |
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| TV | 110 | 20.64 |
| Radio | 34 | 6.38 |
| What’s app | 169 | 31.71 |
| Family members | 37 | 6.94 |
| friends | 46 | 8.63 |
| Other Social Media | 15 | 2.81 |
| Hospitals | 78 | 14.63 |
| Health officer/ worker | 10 | 1.88 |
| Community leader | 34 | 6.38 |
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| Symptoms | 262 | 49.16 |
| Disease spread | 228 | 42.78 |
| Precautionary measures | 326 | 61.16 |
| Remedies | 202 | 37.9 |
Results of multivariate linear regression analysis of perceived awareness about COVID-19 infection.
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| Symptoms | Disease spread | ||||||||
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| (Constant) | 1.452 (1.44–1.47) | .065 | 22.218 | .000 | 1.347 (1.24–1.45) | .062 | 21.746 | .000 | ||
| Gender | -.195 (-0.53–0.14) | .086 | -.144 | -2.266 | .024 | -.018 (-.32–0.36) | .082 | -.013 | -.217 | .828 |
| Age group | -.361 (-0.22–0.51) | .029 | -.849 | -12.521 | .000 | -.110 (-0.02–0.24) | .027 | -.262 | -4.033 | .000 |
| Education | -.179 (-0.30–0.67) | .025 | -.559 | -7.143 | .000 | -.128 (-0.03–0.23) | .024 | -.404 | -5.387 | .000 |
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| (Constant) | 1.556 (1.40–1.71) | .077 | 20.171 | .000 | 1.342 (1.17–1.52) | .064 | 20.948 | .000 | ||
| Gender | -.123 (-0.47–0.22) | .102 | -.093 | -1.214 | .225 | -.086 (-0.43–0.26) | .084 | -.066 | -1.020 | .308 |
| Age group | -.231 (-0.042–0.04 | .034 | -.557 | -6.795 | .000 | -.141 (-0.03–0.25) | .028 | -.342 | -4.988 | .000 |
| Education | -.159 (-0.32–0.00) | .030 | -.509 | -5.375 | .000 | -.015 (-0.10–0.07) | .025 | -.047 | -.596 | .552 |
Perceived knowledge about vulnerable age group and medium of infection of COVID-19.
| Frequency | Percentage | |
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| Children below 10 years age | 54 | 10.13 |
| Old persons above 60 years age | 156 | 29.27 |
| Both children and old persons | 323 | 60.60 |
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| In contact with infected person | 294 | 55.22 |
| Spit/slim of infected person | 242 | 45.48 |
| Sex with infected person | 178 | 33.48 |
| Unknowingly touching the infected surface | 168 | 31.60 |
| In contact with infected animals | 136 | 23.72 |
| Consumption of stale food | 56 | 10.50 |
Results of multivariate linear regression analysis of perceived knowledge about medium of infection of COVID-19.
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| (Constant) | 1.584 (1.51–1.66) | .068 | 23.198 | .000 | 1.323 (1.26–1.39) | .063 | 20.947 | .000 | 1.298 (1.06–1.53) | .066 | 19.592 | .000 | |||
| Gender | -.290 (-0.01–0.57) | .090 | -.216 | -3.227 | .001 | -.044 (-0.16–0.72) | .083 | -.032 | -.525 | .600 | -.175 (-0.48–0.13) | .087 | -.137 | -2.010 | .045 |
| Age group | -.449 (-0.28–0.62) | .030 | -1.060 | -14.886 | .000 | -.197 (0.03–0.37) | .028 | -.465 | -7.071 | .000 | -.232 (-0.04–0.42) | .029 | -.578 | -7.946 | .000 |
| Education | -.133 (-0.29–0.03) | .026 | -.418 | -5.087 | .000 | -.230 (-0.07–0.39) | .024 | -.723 | -9.527 | .000 | .036 (-0.14–0.21) | .025 | .118 | 1.408 | .160 |
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| (Constant) | 1.278 (1.02–1.54) | .066 | 19.454 | .000 | 1.193 (0.85–1.54) | .061 | 19.716 | .000 | .269 (-0.29–0.83) | .070 | 3.843 | .000 | |||
| Gender | -.214 (-0.53–0.10) | .086 | -.170 | -2.474 | .014 | -.297 (-0.02–0.58) | .080 | -.252 | -3.735 | .000 | .123 (-0.30–0.55) | .092 | .148 | 1.335 | .182 |
| Age group | -.272 (-0.07–0.47) | .029 | -.687 | -9.377 | .000 | -.351 (-0.18–0.52) | .027 | -.946 | -13.152 | .000 | .039 (-0.24–0.32) | .031 | .148 | 1.256 | .210 |
| Education | .058 (-0.12–0.24) | .025 | .194 | 2.289 | .022 | .117 (-0.04–0.28) | .023 | .419 | 5.046 | .000 | -.197 (-0.44–0.05) | .027 | -1.003 | -7.356 | .000 |
Perceived knowledge about symptoms of COVID-19.
| Symptoms | Frequency | Percentage |
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| Fever | 228 | 42.78 |
| Cough | 252 | 47.28 |
| Difficulty in breathing | 178 | 33.40 |
| Headache | 8 | 1.50 |
| Sore throat | 84 | 15.76 |
| Diarrhoea | 2 | 0.38 |
| vomiting | 5 | 0.94 |
| Body pain | 16 | 3.00 |
Results of multivariate linear regression analysis of perceived knowledge of symptoms of COVID-19.
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| Cough | Fever | ||||||||
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| (Constant) | 1.344 (1.084–1.604) | .062 | 21.610 | .000 | 1.391 (1.131–1.651) | .065 | 21.324 | .000 | ||
| Gender | -.018 | .082 | -.013 | -.218 | .827 | -.123 | .086 | -.091 | -1.436 | .152 |
| Age group | -.115 | .027 | -.274 | -4.203 | .000 | -.284 | .029 | -.667 | -9.846 | .000 |
| Education | -.137 | .024 | -.433 | -5.756 | .000 | -.203 | .025 | -.636 | -8.136 | .000 |
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| Difficulty in breathing | Sore throat | ||||||||
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| (Constant) | 1.298 | .066 | 19.592 | .000 | .530 (0.27–0.79) | .073 | 7.266 | .000 | ||
| Gender | -.175 (9–0.48–0.13) | .087 | -.137 | -2.010 | .045 | .091 (-0.30–0.48) | .096 | .092 | .946 | .345 |
| Age group | -.232 (-0.04–0.42) | .029 | -.578 | -7.946 | .000 | .015 (-0.24–0.27) | .032 | .049 | .475 | .635 |
| Education | .036 (0.18–0.54) | .025 | .118 | 1.408 | .160 | -.152 (-0.38–0.07 | .028 | -.652 | -5.447 | .000 |
Behavior of respondents if they have symptoms of COVID-19.
| Actions | Frequency | Percentage |
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| Look for a more experienced relative for advise | 36 | 6.75 |
| Go to hospital /health unit | 260 | 48.78 |
| Visit to the neighborhood nurse | 64 | 12.01 |
| Quarantine himself | 172 | 32.27 |
Knowledge of respondents about precautionary measures to be taken to avoid COVID-19 infection.
| Precautionary measures | Frequency | Percentage |
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| Washing hands for 20 seconds each time | 240 | 45.03 |
| Use of mask | 254 | 47.65 |
| Use of sanitizer for washing hands | 226 | 42.40 |
| Avoid hand shake | 210 | 39.40 |
| Maintain social distancing | 218 | 40.90 |
| Avoid crowding places | 248 | 46.53 |
| Improve immune system | 162 | 30.39 |
| Cover nose and mouth while sneezing and coughing | 212 | 39.77 |
| Do not touch mouth and eyes | 236 | 44.28 |
| Keep away from persons with fever and cough | 200 | 37.52 |
| Avoid contact with animals and surface | 98 | 18.39 |
| Drink clean and warm water | 60 | 11.26 |