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10 November 2021
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11 November 2021
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Abstract
Public awareness to take part in the Covid-19 vaccination is still lacking, due to a lack of public awareness and a lot of misinformation received by the public from various media. Therefore, it is necessary to provide the right insight to the community by using an effective educational model. The purpose of this community service is to provide education to the public directly about the definition of vaccines, their effects, the causes of post-vaccination effects, and the benefits of vaccines. This community service is intended for residents of Dusun Popoh, Besole Village, Tulungagung Regency which demographically is a southern coastal area. Activities are carried out by visiting residents to their homes and to the port where fishing boats rest. The target of education with the Health Believe Model approach is a total of 24 families living around the coast. The stages applied in the implementation of this service are divided into preparation, implementation and evaluation. The method of data collection is done qualitatively with a phenomenological approach. People who have received education said they understood the purpose and benefits of vaccination, they also said that this hands-on education made them understand about true and false news about vaccination. This educational activity is able to open the public's insight about vaccines, so that with this change in perception, it is hoped that later it will be able to increase the number of vaccination achievements.
Keywords
Pendidikan Kesehatan
Health Belief Model
Vaksin
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© 2022 Oleh authors. Lisensi Jurnal Solma, LPPM-Uhamka, Jakarta. Artikel ini bersifat open access yang didistribusikan di bawah syarat dan ketentuan Creative Commons Attribution (CC BY) license. (http://creativecommons.org/licenses/by/4.0/).
How to Cite
Erwansyah, R. A., & Suciati, S. (2021). Health Belief Model untuk Menigkatkan Kesadaran Mengikuti Vaksinasi Covid-19 dan Patuh Protokol Kesehatan di Dusun Popoh Desa Besole Tulungagung. Jurnal SOLMA, 10(2), 397–405. https://doi.org/10.22236/solma.v10i2.7840
References
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Alagoz, O., Sethi, A. K., Patterson, B. W., Churpek, M., Alhanaee, G., Scaria, E., & Safdar, N. (2021). The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach. PLoS ONE, 16(7 July), 1–12. https://doi.org/10.1371/journal.pone.0254456
Cihan, P. (2021). Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World. Applied Soft Computing, 111, 107708. https://doi.org/https://doi.org/10.1016/j.asoc.2021.107708
Djalante, R., Lassa, J., Setiamarga, D., Sudjatma, A., Indrawan, M., Haryanto, B., Mahfud, C., Sinapoy, M. S., Djalante, S., Rafliana, I., Gunawan, L. A., Surtiari, G. A. K., & Warsilah, H. (2020). Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020. Progress in Disaster Science, 6, 100091. https://doi.org/https://doi.org/10.1016/j.pdisas.2020.100091
Djanas, D., Yusirwan, Martini, R. D., Rahmadian, Putra, H., Zanir, A., Syahrial, & Nindrea, R. D. (2021). Survey data of COVID-19 vaccine side effects among hospital staff in a national referral hospital in Indonesia. Data in Brief, 36, 107098. https://doi.org/https://doi.org/10.1016/j.dib.2021.107098
Donthu, N., & Gustafsson, A. (2020). Effects of COVID-19 on business and research. Journal of Business Research, 117, 284–289. https://doi.org/10.1016/j.jbusres.2020.06.008
Escandón, K., Rasmussen, A. L., Bogoch, I. I., Murray, E. J., Escandón, K., Popescu, S. V, & Kindrachuk, J. (2021). COVID-19 false dichotomies and a comprehensive review of the evidence regarding public health, COVID-19 symptomatology, SARS-CoV-2 transmission, mask wearing, and reinfection. BMC Infectious Diseases, 21(1), 710. https://doi.org/10.1186/s12879-021-06357-4
Freckelton Qc, I. (2020). COVID-19: Fear, quackery, false representations and the law. International Journal of Law and Psychiatry, 72, 101611. https://doi.org/10.1016/j.ijlp.2020.101611
Gordon, J., Reynolds, M., & Barnby, E. (2021). An Informative Discussion for School Nurses on COVID-19 mRNA Vaccine. NASN School Nurse, 36(3), 132–136. https://doi.org/10.1177/1942602X21999606
Grimes, D. R. (2021). Medical disinformation and the unviable nature of COVID-19 conspiracy theories. PLOS ONE, 16(3), e0245900. https://doi.org/10.1371/journal.pone.0245900
Gurdasani, D., Bhatt, S., Costello, A., Denaxas, S., Flaxman, S., Greenhalgh, T., Griffin, S., Hyde, Z., Katzourakis, A., McKee, M., Michie, S., Ratmann, O., Reicher, S., Scally, G., Tomlinson, C., Yates, C., Ziauddeen, H., & Pagel, C. (2021). Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis. Journal of the Royal Society of Medicine, 01410768211052589. https://doi.org/10.1177/01410768211052589
Harvard, S., Winsberg, E., Symons, J., & Adibi, A. (2021). Value judgments in a COVID-19 vaccination model: A case study in the need for public involvement in health-oriented modelling. Social Science & Medicine, 286, 114323. https://doi.org/https://doi.org/10.1016/j.socscimed.2021.114323
Hiscott, J., Alexandridi, M., Muscolini, M., Tassone, E., Palermo, E., Soultsioti, M., & Zevini, A. (2020). The global impact of the coronavirus pandemic. Cytokine & Growth Factor Reviews, 53, 1–9. https://doi.org/10.1016/j.cytogfr.2020.05.010
Houlden, S., Hodson, J., Veletsianos, G., Reid, D., & Thompson-Wagner, C. (2021). The health belief model: How public health can address the misinformation crisis beyond COVID-19. Public Health in Practice, 2, 100151. https://doi.org/https://doi.org/10.1016/j.puhip.2021.100151
Iftimie, S., López-Azcona, A. F., Vallverdú, I., Hernández-Flix, S., de Febrer, G., Parra, S., Hernández-Aguilera, A., Riu, F., Joven, J., Andreychuk, N., Baiges-Gaya, G., Ballester, F., Benavent, M., Burdeos, J., Catalí , A., Castañé, È., Castañé, H., Colom, J., Feliu, M., ... Castro, A. (2021). First and second waves of coronavirus disease-19: A comparative study in hospitalized patients in Reus, Spain. PLOS ONE, 16(3), e0248029. https://doi.org/10.1371/journal.pone.0248029
Ismawardani, D., Izzati, R. L., & Alhafiz. (2020). Garda Terdepan Penanggulangan Covid-19.
Kementerian Kesehatan. (2020). Petunjuk Teknis Pelayanan Puskesmas Pada Masa Pandemi COVID-19.
Liu, S., & Liu, J. (2021). Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis. Vaccine, 39(39), 5499–5505. https://doi.org/https://doi.org/10.1016/j.vaccine.2021.08.058
Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5(3), 337–348. https://doi.org/10.1038/s41562-021-01056-1
Lyu, H., Wang, J., Wu, W., Duong, V., Zhang, X., Dye, T. D., & Luo, J. (2021). Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination. Intelligent Medicine. https://doi.org/https://doi.org/10.1016/j.imed.2021.08.001
Obi-Ani, N. A., Anikwenze, C., & Isiani, M. C. (2020). Social media and the Covid-19 pandemic: Observations from Nigeria. Cogent Arts & Humanities, 7(1), 1799483. https://doi.org/10.1080/23311983.2020.1799483
Pahrudin, P., Chen, C.-T., & Liu, L.-W. (2021). A modified theory of planned behavioral: A case of tourist intention to visit a destination post pandemic Covid-19 in Indonesia. Heliyon, 7(10), e08230. https://doi.org/https://doi.org/10.1016/j.heliyon.2021.e08230
Paul, I., Mohanty, S., & Sengupta, R. (2022). The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic. Computers in Human Behavior, 127, 107036. https://doi.org/https://doi.org/10.1016/j.chb.2021.107036
Rasjid, Z. E., Setiawan, R., & Effendi, A. (2021). A Comparison: Prediction of Death and Infected COVID-19 Cases in Indonesia Using Time Series Smoothing and LSTM Neural Network. Procedia Computer Science, 179, 982–988. https://doi.org/https://doi.org/10.1016/j.procs.2021.01.102
Reiter, P. L., Oldach, B. R., Randle, K. E., & Katz, M. L. (2013). Acceptability of HPV Vaccine for Males and Preferences for Future Education Programs Among Appalachian Residents. American Journal of Men's Health, 8(2), 167–174. https://doi.org/10.1177/1557988313505319
Rella, S. A., Kulikova, Y. A., Dermitzakis, E. T., & Kondrashov, F. A. (2021). Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-95025-3
Syuhada, K., Wibisono, A., Hakim, A., & Addini, F. (2021). Covid-19 risk data during lockdown-like policy in Indonesia. Data in Brief, 35, 106801. https://doi.org/https://doi.org/10.1016/j.dib.2021.106801
Tanaka, H., Lee, H., Morita, A., Namkoong, H., Chubachi, S., Kabata, H., Kamata, H., Ishii, M., Hasegawa, N., Harada, N., Ueda, T., Ueda, S., Ishiguro, T., Arimura, K., Saito, F., Yoshiyama, T., Nakano, Y., Mutoh, Y., Suzuki, Y., ... Fukunaga, K. (2021). Clinical Characteristics of Patients with Coronavirus Disease (COVID-19): Preliminary Baseline Report of Japan COVID-19 Task Force, a Nationwide Consortium to Investigate Host Genetics of COVID-19. International Journal of Infectious Diseases, 113, 74–81. https://doi.org/https://doi.org/10.1016/j.ijid.2021.09.070
WHO. (2020). Pelayanan kesehatan berbasis komunitas, termasuk penjangkauan dan kampanye, dalam konteks pandemi COVID-19. World Health Organization dan United Nations Children's Fund (UNICEF).
References
Alagoz, O., Sethi, A. K., Patterson, B. W., Churpek, M., Alhanaee, G., Scaria, E., & Safdar, N. (2021). The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach. PLoS ONE, 16(7 July), 1–12. https://doi.org/10.1371/journal.pone.0254456
Cihan, P. (2021). Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World. Applied Soft Computing, 111, 107708. https://doi.org/https://doi.org/10.1016/j.asoc.2021.107708
Djalante, R., Lassa, J., Setiamarga, D., Sudjatma, A., Indrawan, M., Haryanto, B., Mahfud, C., Sinapoy, M. S., Djalante, S., Rafliana, I., Gunawan, L. A., Surtiari, G. A. K., & Warsilah, H. (2020). Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020. Progress in Disaster Science, 6, 100091. https://doi.org/https://doi.org/10.1016/j.pdisas.2020.100091
Djanas, D., Yusirwan, Martini, R. D., Rahmadian, Putra, H., Zanir, A., Syahrial, & Nindrea, R. D. (2021). Survey data of COVID-19 vaccine side effects among hospital staff in a national referral hospital in Indonesia. Data in Brief, 36, 107098. https://doi.org/https://doi.org/10.1016/j.dib.2021.107098
Donthu, N., & Gustafsson, A. (2020). Effects of COVID-19 on business and research. Journal of Business Research, 117, 284–289. https://doi.org/10.1016/j.jbusres.2020.06.008
Escandón, K., Rasmussen, A. L., Bogoch, I. I., Murray, E. J., Escandón, K., Popescu, S. V, & Kindrachuk, J. (2021). COVID-19 false dichotomies and a comprehensive review of the evidence regarding public health, COVID-19 symptomatology, SARS-CoV-2 transmission, mask wearing, and reinfection. BMC Infectious Diseases, 21(1), 710. https://doi.org/10.1186/s12879-021-06357-4
Freckelton Qc, I. (2020). COVID-19: Fear, quackery, false representations and the law. International Journal of Law and Psychiatry, 72, 101611. https://doi.org/10.1016/j.ijlp.2020.101611
Gordon, J., Reynolds, M., & Barnby, E. (2021). An Informative Discussion for School Nurses on COVID-19 mRNA Vaccine. NASN School Nurse, 36(3), 132–136. https://doi.org/10.1177/1942602X21999606
Grimes, D. R. (2021). Medical disinformation and the unviable nature of COVID-19 conspiracy theories. PLOS ONE, 16(3), e0245900. https://doi.org/10.1371/journal.pone.0245900
Gurdasani, D., Bhatt, S., Costello, A., Denaxas, S., Flaxman, S., Greenhalgh, T., Griffin, S., Hyde, Z., Katzourakis, A., McKee, M., Michie, S., Ratmann, O., Reicher, S., Scally, G., Tomlinson, C., Yates, C., Ziauddeen, H., & Pagel, C. (2021). Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis. Journal of the Royal Society of Medicine, 01410768211052589. https://doi.org/10.1177/01410768211052589
Harvard, S., Winsberg, E., Symons, J., & Adibi, A. (2021). Value judgments in a COVID-19 vaccination model: A case study in the need for public involvement in health-oriented modelling. Social Science & Medicine, 286, 114323. https://doi.org/https://doi.org/10.1016/j.socscimed.2021.114323
Hiscott, J., Alexandridi, M., Muscolini, M., Tassone, E., Palermo, E., Soultsioti, M., & Zevini, A. (2020). The global impact of the coronavirus pandemic. Cytokine & Growth Factor Reviews, 53, 1–9. https://doi.org/10.1016/j.cytogfr.2020.05.010
Houlden, S., Hodson, J., Veletsianos, G., Reid, D., & Thompson-Wagner, C. (2021). The health belief model: How public health can address the misinformation crisis beyond COVID-19. Public Health in Practice, 2, 100151. https://doi.org/https://doi.org/10.1016/j.puhip.2021.100151
Iftimie, S., López-Azcona, A. F., Vallverdú, I., Hernández-Flix, S., de Febrer, G., Parra, S., Hernández-Aguilera, A., Riu, F., Joven, J., Andreychuk, N., Baiges-Gaya, G., Ballester, F., Benavent, M., Burdeos, J., Catalí , A., Castañé, È., Castañé, H., Colom, J., Feliu, M., ... Castro, A. (2021). First and second waves of coronavirus disease-19: A comparative study in hospitalized patients in Reus, Spain. PLOS ONE, 16(3), e0248029. https://doi.org/10.1371/journal.pone.0248029
Ismawardani, D., Izzati, R. L., & Alhafiz. (2020). Garda Terdepan Penanggulangan Covid-19.
Kementerian Kesehatan. (2020). Petunjuk Teknis Pelayanan Puskesmas Pada Masa Pandemi COVID-19.
Liu, S., & Liu, J. (2021). Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis. Vaccine, 39(39), 5499–5505. https://doi.org/https://doi.org/10.1016/j.vaccine.2021.08.058
Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5(3), 337–348. https://doi.org/10.1038/s41562-021-01056-1
Lyu, H., Wang, J., Wu, W., Duong, V., Zhang, X., Dye, T. D., & Luo, J. (2021). Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination. Intelligent Medicine. https://doi.org/https://doi.org/10.1016/j.imed.2021.08.001
Obi-Ani, N. A., Anikwenze, C., & Isiani, M. C. (2020). Social media and the Covid-19 pandemic: Observations from Nigeria. Cogent Arts & Humanities, 7(1), 1799483. https://doi.org/10.1080/23311983.2020.1799483
Pahrudin, P., Chen, C.-T., & Liu, L.-W. (2021). A modified theory of planned behavioral: A case of tourist intention to visit a destination post pandemic Covid-19 in Indonesia. Heliyon, 7(10), e08230. https://doi.org/https://doi.org/10.1016/j.heliyon.2021.e08230
Paul, I., Mohanty, S., & Sengupta, R. (2022). The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic. Computers in Human Behavior, 127, 107036. https://doi.org/https://doi.org/10.1016/j.chb.2021.107036
Rasjid, Z. E., Setiawan, R., & Effendi, A. (2021). A Comparison: Prediction of Death and Infected COVID-19 Cases in Indonesia Using Time Series Smoothing and LSTM Neural Network. Procedia Computer Science, 179, 982–988. https://doi.org/https://doi.org/10.1016/j.procs.2021.01.102
Reiter, P. L., Oldach, B. R., Randle, K. E., & Katz, M. L. (2013). Acceptability of HPV Vaccine for Males and Preferences for Future Education Programs Among Appalachian Residents. American Journal of Men's Health, 8(2), 167–174. https://doi.org/10.1177/1557988313505319
Rella, S. A., Kulikova, Y. A., Dermitzakis, E. T., & Kondrashov, F. A. (2021). Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-95025-3
Syuhada, K., Wibisono, A., Hakim, A., & Addini, F. (2021). Covid-19 risk data during lockdown-like policy in Indonesia. Data in Brief, 35, 106801. https://doi.org/https://doi.org/10.1016/j.dib.2021.106801
Tanaka, H., Lee, H., Morita, A., Namkoong, H., Chubachi, S., Kabata, H., Kamata, H., Ishii, M., Hasegawa, N., Harada, N., Ueda, T., Ueda, S., Ishiguro, T., Arimura, K., Saito, F., Yoshiyama, T., Nakano, Y., Mutoh, Y., Suzuki, Y., ... Fukunaga, K. (2021). Clinical Characteristics of Patients with Coronavirus Disease (COVID-19): Preliminary Baseline Report of Japan COVID-19 Task Force, a Nationwide Consortium to Investigate Host Genetics of COVID-19. International Journal of Infectious Diseases, 113, 74–81. https://doi.org/https://doi.org/10.1016/j.ijid.2021.09.070
WHO. (2020). Pelayanan kesehatan berbasis komunitas, termasuk penjangkauan dan kampanye, dalam konteks pandemi COVID-19. World Health Organization dan United Nations Children's Fund (UNICEF).
Cihan, P. (2021). Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World. Applied Soft Computing, 111, 107708. https://doi.org/https://doi.org/10.1016/j.asoc.2021.107708
Djalante, R., Lassa, J., Setiamarga, D., Sudjatma, A., Indrawan, M., Haryanto, B., Mahfud, C., Sinapoy, M. S., Djalante, S., Rafliana, I., Gunawan, L. A., Surtiari, G. A. K., & Warsilah, H. (2020). Review and analysis of current responses to COVID-19 in Indonesia: Period of January to March 2020. Progress in Disaster Science, 6, 100091. https://doi.org/https://doi.org/10.1016/j.pdisas.2020.100091
Djanas, D., Yusirwan, Martini, R. D., Rahmadian, Putra, H., Zanir, A., Syahrial, & Nindrea, R. D. (2021). Survey data of COVID-19 vaccine side effects among hospital staff in a national referral hospital in Indonesia. Data in Brief, 36, 107098. https://doi.org/https://doi.org/10.1016/j.dib.2021.107098
Donthu, N., & Gustafsson, A. (2020). Effects of COVID-19 on business and research. Journal of Business Research, 117, 284–289. https://doi.org/10.1016/j.jbusres.2020.06.008
Escandón, K., Rasmussen, A. L., Bogoch, I. I., Murray, E. J., Escandón, K., Popescu, S. V, & Kindrachuk, J. (2021). COVID-19 false dichotomies and a comprehensive review of the evidence regarding public health, COVID-19 symptomatology, SARS-CoV-2 transmission, mask wearing, and reinfection. BMC Infectious Diseases, 21(1), 710. https://doi.org/10.1186/s12879-021-06357-4
Freckelton Qc, I. (2020). COVID-19: Fear, quackery, false representations and the law. International Journal of Law and Psychiatry, 72, 101611. https://doi.org/10.1016/j.ijlp.2020.101611
Gordon, J., Reynolds, M., & Barnby, E. (2021). An Informative Discussion for School Nurses on COVID-19 mRNA Vaccine. NASN School Nurse, 36(3), 132–136. https://doi.org/10.1177/1942602X21999606
Grimes, D. R. (2021). Medical disinformation and the unviable nature of COVID-19 conspiracy theories. PLOS ONE, 16(3), e0245900. https://doi.org/10.1371/journal.pone.0245900
Gurdasani, D., Bhatt, S., Costello, A., Denaxas, S., Flaxman, S., Greenhalgh, T., Griffin, S., Hyde, Z., Katzourakis, A., McKee, M., Michie, S., Ratmann, O., Reicher, S., Scally, G., Tomlinson, C., Yates, C., Ziauddeen, H., & Pagel, C. (2021). Vaccinating adolescents against SARS-CoV-2 in England: a risk–benefit analysis. Journal of the Royal Society of Medicine, 01410768211052589. https://doi.org/10.1177/01410768211052589
Harvard, S., Winsberg, E., Symons, J., & Adibi, A. (2021). Value judgments in a COVID-19 vaccination model: A case study in the need for public involvement in health-oriented modelling. Social Science & Medicine, 286, 114323. https://doi.org/https://doi.org/10.1016/j.socscimed.2021.114323
Hiscott, J., Alexandridi, M., Muscolini, M., Tassone, E., Palermo, E., Soultsioti, M., & Zevini, A. (2020). The global impact of the coronavirus pandemic. Cytokine & Growth Factor Reviews, 53, 1–9. https://doi.org/10.1016/j.cytogfr.2020.05.010
Houlden, S., Hodson, J., Veletsianos, G., Reid, D., & Thompson-Wagner, C. (2021). The health belief model: How public health can address the misinformation crisis beyond COVID-19. Public Health in Practice, 2, 100151. https://doi.org/https://doi.org/10.1016/j.puhip.2021.100151
Iftimie, S., López-Azcona, A. F., Vallverdú, I., Hernández-Flix, S., de Febrer, G., Parra, S., Hernández-Aguilera, A., Riu, F., Joven, J., Andreychuk, N., Baiges-Gaya, G., Ballester, F., Benavent, M., Burdeos, J., Catalí , A., Castañé, È., Castañé, H., Colom, J., Feliu, M., ... Castro, A. (2021). First and second waves of coronavirus disease-19: A comparative study in hospitalized patients in Reus, Spain. PLOS ONE, 16(3), e0248029. https://doi.org/10.1371/journal.pone.0248029
Ismawardani, D., Izzati, R. L., & Alhafiz. (2020). Garda Terdepan Penanggulangan Covid-19.
Kementerian Kesehatan. (2020). Petunjuk Teknis Pelayanan Puskesmas Pada Masa Pandemi COVID-19.
Liu, S., & Liu, J. (2021). Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis. Vaccine, 39(39), 5499–5505. https://doi.org/https://doi.org/10.1016/j.vaccine.2021.08.058
Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5(3), 337–348. https://doi.org/10.1038/s41562-021-01056-1
Lyu, H., Wang, J., Wu, W., Duong, V., Zhang, X., Dye, T. D., & Luo, J. (2021). Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination. Intelligent Medicine. https://doi.org/https://doi.org/10.1016/j.imed.2021.08.001
Obi-Ani, N. A., Anikwenze, C., & Isiani, M. C. (2020). Social media and the Covid-19 pandemic: Observations from Nigeria. Cogent Arts & Humanities, 7(1), 1799483. https://doi.org/10.1080/23311983.2020.1799483
Pahrudin, P., Chen, C.-T., & Liu, L.-W. (2021). A modified theory of planned behavioral: A case of tourist intention to visit a destination post pandemic Covid-19 in Indonesia. Heliyon, 7(10), e08230. https://doi.org/https://doi.org/10.1016/j.heliyon.2021.e08230
Paul, I., Mohanty, S., & Sengupta, R. (2022). The role of social virtual world in increasing psychological resilience during the on-going COVID-19 pandemic. Computers in Human Behavior, 127, 107036. https://doi.org/https://doi.org/10.1016/j.chb.2021.107036
Rasjid, Z. E., Setiawan, R., & Effendi, A. (2021). A Comparison: Prediction of Death and Infected COVID-19 Cases in Indonesia Using Time Series Smoothing and LSTM Neural Network. Procedia Computer Science, 179, 982–988. https://doi.org/https://doi.org/10.1016/j.procs.2021.01.102
Reiter, P. L., Oldach, B. R., Randle, K. E., & Katz, M. L. (2013). Acceptability of HPV Vaccine for Males and Preferences for Future Education Programs Among Appalachian Residents. American Journal of Men's Health, 8(2), 167–174. https://doi.org/10.1177/1557988313505319
Rella, S. A., Kulikova, Y. A., Dermitzakis, E. T., & Kondrashov, F. A. (2021). Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains. Scientific Reports, 11(1), 1–10. https://doi.org/10.1038/s41598-021-95025-3
Syuhada, K., Wibisono, A., Hakim, A., & Addini, F. (2021). Covid-19 risk data during lockdown-like policy in Indonesia. Data in Brief, 35, 106801. https://doi.org/https://doi.org/10.1016/j.dib.2021.106801
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