Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: One of the keys to preventing a re-emergence of the COVID-19 pandemic is the attainment and maintenance of high vaccination coverage in urban and rural areas.
Aims: To estimate the coverage of COVID-19 vaccination in a rural population and identify the determinants of vaccination.
Methodology: A cross-sectional survey was conducted in April 2023 in 5 rural districts of Sindh Province, Pakistan. From each district, 30 clusters (villages) were randomly selected, and 7 households were randomly sampled from each cluster using the 30/7 technique. Household members above 12 years of age were included. Vaccination status was categorized as non-vaccinated, partially vaccinated (either with 1 dose or without booster) and completely vaccinated (2 doses with 1 booster). Adjusted odds ratios with 95% confidence intervals using multinomial logistic regression were computed to determine the factors associated with partial and complete vaccination. Data was analysed using SPSS version 20.
Results: Among the 3545 individuals surveyed across 1050 households, 25.9% were not vaccinated, 55.0% were partially vaccinated, and 19.1% were fully vaccinated. Younger age, lack of formal education and residing in flood-affected districts were significantly negatively associated with being vaccinated, while living at <5 km from a vaccination facility was significantly positively associated with partial and complete vaccination. Residents of Dadu (OR=0.03, 95% CI=0.01-0.04), Jamshoro (OR=0.05, 95% CI=0.03-0.08), Hyderabad (OR=0.03, 95% CI=0.02-0.05), and Tando Allahyar (OR=0.09, 95% CI=0.05-0.15) districts were significantly less likely to be completely vaccinated than those in Tharparkar. The most common reasons for not being vaccinated were, the perception that COVID-19 is mild (34.5%), fear of side-effects (22.7%), unavailability of the vaccine (19.8%), and fear of acquiring COVID-19 infection through the vaccine (15.8%).
Conclusion: Vaccination coverage was low in some of the districts, particularly the flood-affected districts, mainly due to certain myths. There is a need for community outreaches to debunk myths about COVID-19 vaccination among these rural populations.
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Source |
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http://dx.doi.org/10.26719/2024.30.4.264 | DOI Listing |
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