| Literature DB >> 35982167 |
Arash Nemat1,2, Sumaira Yaftali3, Tamim Jan Danishmand4, Haroon Nemat5, Nahid Raufi6, Abdullah Asady7.
Abstract
Severe Acute Respiratory Syndrome Corona Virus Type-2 (SARS-COV-2) was first detected in China and created a global pandemic rapidly. Subsequently after serious efforts different types of vaccines produced against the virus and recommended for all people including pregnant women. The aim of this study was to realize the willingness of pregnant women to accept the COVID-19 vaccine in Kabul Afghanistan. For this purpose, a cross-sectional study was conducted in gynecology wards of several hospitals in Kabul, Afghanistan from 10th of July to 20th of August 2021 through direct interview with the pregnant women who had come for prenatal care to the healthcare centers. The collected data were analyzed through Statistical Package for Social Studies (SPSS) version 25. Simple descriptive analysis computed for demographic characteristics and bi-variable (Chi-square) analysis was carried out to find out the associations of taking vaccine with demographic variables. A p-value of < 0.05 was considered significant at 95% confidence interval. A total of 491 who were completed the inclusion criteria included in the analysis. A small portion of pregnant women (8.6%) illustrated the intent to get the COVID-19 vaccine if it is recommended by the health authorities in Afghanistan. Our study found a high rate of COVID-19 vaccine refusal among pregnant women in Kabul, Afghanistan. They showed the concern on adverse effects of the vaccine as the main reason for refusal, emphasizing the need to reduce the misconception on vaccine efficacy and campaigns to enhance awareness on the vaccine safety and benefits for mothers and babies.Entities:
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Year: 2022 PMID: 35982167 PMCID: PMC9387420 DOI: 10.1038/s41598-022-18497-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Overview of the sociodemographic characteristics of the participants (N = 491).
| Characteristics | Value |
|---|---|
| Age | 27.24 ± 5.698 |
| Gravidity | 1.62 ± 0.487 |
| Parity | 1.63 ± 0.482 |
| Gestational trimester | 2.36 ± 0.786 |
| House wife | 307 (62.5%) |
| Employee | 184 (37.5%) |
| Urban | 369 (75.2%) |
| Rural | 122 (24.8%) |
| Literate | 349 (71.1%) |
| Illiterate | 142 (28.9%) |
| Literate | 412 (83.9%) |
| Illiterate | 79 (16.1%) |
| Busted | 357 (72.7%) |
| Good | 134 (27.3%) |
| Primigravida | 189 (38.5%) |
| Multigravida | 302 (61.5%) |
| Nulliparous | 180 (36.7%) |
| Multiparous | 311 (63.3%) |
| First trimester | 95 (19.3%) |
| Second trimester | 125 (25.5%) |
| Third trimester | 271 (55.2%) |
Values are given as mean ± standard deviation or as number (percentage).
*Gravidity was defined as the sum of all pregnancies, including all live births and pregnancies that terminated at < 6 months or did not result in a live birth.
**Parity was defined as pregnancies that resulted in the delivery at ≥ 6 months gestation, of either a live birth or a stillbirth.
Figure 1Sources of information used by pregnant women about COVID-19.
Figure 2Participants’ declaration on COVID-19 infection state, their proximity contact with infected patients and the vaccination status of participants.
Figure 3A high proportion of participants declared their refusal to get the COVID-19 vaccine.
Figure 4The distribution between willingness and refusal to take the COVID-19 vaccine in gestational trimester groups of pregnant women.
Association between selected socio-demographic variables and COVID-19 vaccine acceptance.
| Variable | Will you take COVID-19 vaccine? | |
|---|---|---|
| Yes | No | |
| Employed (184) | 16 (8.7) | 168 (91.3) |
| Housewife (307) | 26 (8.5) | 281 (91.5) |
| X2 = 0.008 p value = 0.931 | ||
| Urban (369) | 32 (8.7) | 337 (91.3) |
| Rural (122) | 10 (8.2) | 112 (91.8) |
| X2 = 0.026 p value = 0.871 | ||
| Good (134) | 11 (8.2) | 123 (91.8) |
| Busted (357) | 31 (8.7) | 326 (91.3) |
| X2 = 0.028 p value = 0.867 | ||
| Literate (349) | 28 (8.0) | 321 (92.0) |
| Illiterate (142) | 14 (9.9) | 128 (90.1) |
| X2 = 0.435 p value = 0.510 | ||
| Literate (412) | 36 (8.7) | 376 (91.3) |
| Illiterate (79) | 6 (7.6) | 73 (92.4) |
| X2 = 0.111 p value = 0.739 | ||
| Primigravida (189) | 17 (9.0) | 172 (91.0) |
| Multigravida (302) | 25 (8.3) | 277 (91.7) |
| X2 = 0.076 p value = 0.782 | ||
| Nulliparous (180) | 18 (10.0) | 162 (90.0) |
| Multiparous(311) | 24 (7.7) | 287 (92.3) |
| X2 = 0.760 p value = 0.383 | ||
| Total | 42 (8.6%) | 349 (91.4%) |
Reasons for hesitancy to take the COVID-19 vaccine (N = 492).
| Item | N (%) | |
|---|---|---|
| The vaccine will harm my baby | 336 | 73.4% |
| I don’t need to vaccine because I have passed the infection and have enough immunity | 180 | 39.3% |
| The vaccine will cause to infertility | 94 | 20.5% |
| If I get it, it will die within two next years | 92 | 20.1% |
| It might be lower quality for Afghanistan | 44 | 9.6% |
| It has magnetic memories | 2 | 0.4% |
| Other reason | 38 | 8.3% |
Figure 5Pregnant women declaration on their close contact with COVID-19 patients and their infection rate by COVID-19.