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For: Vellappally S, Naik S, Alsadon O, Al-kheraif AA, Alayadi H, Alsiwat AJ, Kumar A, Hashem M, Varghese N, Thomas NG, Anil S. Perception of COVID-19 Booster Dose Vaccine among Healthcare Workers in India and Saudi Arabia. IJERPH 2022;19:8942. [DOI: 10.3390/ijerph19158942] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Kyprianidou M, Fakonti G, Toumbis G, Giannakou K. Decision-making on childhood vaccination against COVID-19 by nurses in Cyprus: A cross-sectional online survey. Hum Vaccin Immunother 2023;:2171674. [PMID: 36715289 DOI: 10.1080/21645515.2023.2171674] [Reference Citation Analysis]
2 Heltty H, Palingrungi B, Apriyanti A. Booster dose of COVID-19 vaccination: Perception among elderly. J Pal Nurs Stud 2023;2:20-29. [DOI: 10.55048/jpns.v2i1.75] [Reference Citation Analysis]
3 Della Polla G, Miraglia Del Giudice G, Folcarelli L, Napoli A, Angelillo IF; Collaborative Working Group. Willingness to accept a second COVID-19 vaccination booster dose among healthcare workers in Italy. Front Public Health 2022;10:1051035. [PMID: 36568799 DOI: 10.3389/fpubh.2022.1051035] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Viskupič F, Wiltse DL. Drivers of COVID-19 booster uptake among nurses. Am J Infect Control 2022:S0196-6553(22)00815-X. [PMID: 36427700 DOI: 10.1016/j.ajic.2022.11.014] [Reference Citation Analysis]
5 Maria S, Pelupessy DC, Koesnoe S, Yunihastuti E, Handayani DOTL, Siddiq TH, Mulyantini A, Halim ARV, Wahyuningsih ES, Widhani A, Awanis GS, Muda MG, Karjadi TH, Hasibuan AS, Rengganis I, Djauzi S. COVID-19 Booster Vaccine Intention by Health Care Workers in Jakarta, Indonesia: Using the Extended Model of Health Behavior Theories. Trop Med Infect Dis 2022;7. [PMID: 36288064 DOI: 10.3390/tropicalmed7100323] [Reference Citation Analysis]
6 Rząsa K, Ciski M. Influence of the Demographic, Social, and Environmental Factors on the COVID-19 Pandemic-Analysis of the Local Variations Using Geographically Weighted Regression. Int J Environ Res Public Health 2022;19. [PMID: 36231184 DOI: 10.3390/ijerph191911881] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Xie Q, Xue Y. The Prediction of Public Risk Perception by Internal Characteristics and External Environment: Machine Learning on Big Data. IJERPH 2022;19:9545. [DOI: 10.3390/ijerph19159545] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]