SYUKRIAH, Syukriah and Sutiningsih, Dwi and Widisuseno, Iriyanto (2023) FAKTOR-FAKTOR YANG MEMPENGARUHI KEJADIAN IKUTAN PASCA IMUNISASI (KIPI) VAKSIN COVID 19 PADA MASYARAKAT DI KABUPATEN KUTAI KARTANEGARA. Masters thesis, UNIVERSITAS DIPONEGORO.

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Abstract

Pendahuluan: Vaksinasi COVID-19 dapat membentuk Herd Immunity di masyarakat yang dapat menghambat penyebaran COVID-19, namun kejadian pasca ikutan imunisasi (KIPI) untuk COVID-19 dapat menyebabkan tubuh bereaksi terhadap antigen yang diberikan. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang dapat mempengaruhi vaksinasi KIPI terhadap covid-19.
Bahan dan Metode: Rancangan penelitian ini adalah pendekatan cross sectional dengan simple random sampling sebanyak 420 responden. Program SPSS 22 digunakan untuk menganalisis temuan, menggunakan metode univariat, bivariat, dan multivariat.
Hasil: Analisis menunjukkan ada hubungan antara umur (p-value=0,000), jenis kelamin (pvalue=0,028), jenis vaksin (p-value=0,010), penyakit penyerta (p-value=0,000), riwayat COVID19 (p-value=0.044), perjalanan (p-value=0,000), variabel perancu adalah pendidikan (pvalue=0,000), pekerjaan (p-value=0,013) dengan KIPI. Faktor dominan adalah umur, nilai OR 13,157 (p-value=0,000).
Kesimpulan: Tidak ada reaksi berat terhadap terjadinya KIPI pada penelitian ini, faktor yang paling dominan adalah usia, hal ini dikarenakan mayoritas memiliki penyakit penyerta. kondisi responden dipastikan dalam keadaan sehat selama penelitian ini.
Kata kunci: COVID 19, Vaksinasi, KIPI

Introduction: COVID-19 vaccination can form Herd Immunity in the community to inhibit the spread of COVID-19, but An adverse event following immunization (AEFI) for COVID-19 can cause the body to react to the antigen given. This study aims to determine the factors that can affect AEFI vaccination against covid-19.
Materials and Methods: The design of this experiment was a cross-sectional approach with a simple random sampling of 420 respondents. The SPSS 22 program was used to analyze findings, using univariate, bivariate, and multivariate methods.
Results: The analysis showed that there was a relationship between age (p-value=0.000), gender (p-value=0.028), type of vaccine (p-value=0.010), comorbid (p-value=0.000), history of COVID19 (p-value=0.044), travel (p-value=0.000), confounding variables were education (pvalue=0.000), occupation (p-value=0.013) with AEFI. The dominant factor is age, the OR value is 13,157 (p-value=0,000).
Conclusion: There were no severe reactions to the occurrence of AEFI in this study, the most dominant factor was age, and this was because the majority had comorbidities. the condition respondents were confirmed to be in good health during this study.
Key words: COVID 19, Vaccination, AEFI

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