Evaluating Vaccination Delay in Infants during COVID-۱۹ Outbreak in Yazd

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 100

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شناسه ملی سند علمی:

JR_JCHR-13-1_017

تاریخ نمایه سازی: 14 بهمن 1403

چکیده مقاله:

Background: One of the potential consequences of COVID-۱۹ is the interruption of childhood vaccination. The aim of this study is to investigate the frequency of vaccination delay in children during the COVID-۱۹ outbreak in Yazd, Iran. Methods: In this cross-sectional study in ۲۰۲۰, ۶۶۷ children living in Yazd were enrolled through multi-stage sampling method. Date of birth, vaccination dates of ۲-, ۴-, and ۶- months of age, gender, family size, birth order and municipal area were extracted from the Integrated System Information Block (SIB) system. Data were analyzed using SPSS software version ۲۲. Results: among ۶۶۷ infants, ۳۲۲ (۴۸.۳%) were girls and ۳۴۵ (۵۱.۷%) were boys. In total, ۵۳.۵% of children had delay in vaccination at ۲-month of age, ۵۴%, at ۴-month, and ۴۵% at ۶-month regarding vaccination appointment. Moreover, the dangerous delay was ۳% in vaccination rounds for ۲-month-olds, ۵.۴% for ۴-month-olds, and ۱.۷% for ۶-month-olds. At all the three appointments, there was a statistically significant difference between both the family size (P-value: ۰.۰۲۵, ۰.۰۱۷ and ۰.۰۰۴, respectively) and birth order (P-value: ۰.۰۱۵, ۰.۰۰۷ and ۰.۰۱۳, respectively) regarding vaccination delay. Conclusion: Despite the high frequency of one or more than one day delay for ۲-, ۴-, and ۶-month-old infants regarding vaccination appointments, dangerous delay in the mentioned times was relatively infrequent. Meanwhile, family size and birth order were two influential factors respecting vaccination delay in children. It is essential to raise awareness among families, particularly those with larger size and higher number of children about the importance of timely vaccination.

نویسندگان

Elham Nakhaei

School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Saeed Hosseini

Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran- Department of Epidemiology, School of Public Health, Iran University of Medical Science

Mohsen Mirzaei

Health Monitoring Research Center, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Mahmood Vakili

Health Monitoring Research Center, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Narjes Hazar

Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

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