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2020 | OriginalPaper | Chapter

Social Media and Public Health Emergency of International Concern: The COVID-19 Outbreak

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Abstract

The coronavirus (COVID-19) epidemic is the cause of several disasters on human health and livelihoods in many countries around the globe. Even though everyone is at risk of infections regardless of ethnicity, income, age, and political affiliation, the consequences of the epidemic will weigh enormously in the global south, at the level of the very fragile sanitary architecture, the economic, social and cultural fabric. This study examines the key determinants of social media adoption and the consequences of their use in managing a public health crisis of International Concern like COVID-19. We propose a theoretical framework resulting from a combination of several approaches, such as the Health Belief Model, the Technology Acceptance Model and the theory of Social Influence. Moreover, we use a mixed research method to carry out various investigations in our study. The findings and recommendations of this research will serve as a research base for government agencies, health organizations and associations in the reflections and strategic actions being implemented to effectively fight against COVID-19 and equip marginalized communities with efficient information through the use of social media.

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Literature
2.
go back to reference Giwa, A., Desai, A.: Novel coronavirus COVID-19: an overview for emergency clinicians. Emerg. Med. Pract. 22(2 Suppl 2), 1–21 (2020) Giwa, A., Desai, A.: Novel coronavirus COVID-19: an overview for emergency clinicians. Emerg. Med. Pract. 22(2 Suppl 2), 1–21 (2020)
12.
go back to reference Moore, M., Gelfeld, B., Okunogbe, A., Paul, C.: Identifying future disease hot spots: infectious disease vulnerability index. Rand. Health Q. 6, 5 (2017) Moore, M., Gelfeld, B., Okunogbe, A., Paul, C.: Identifying future disease hot spots: infectious disease vulnerability index. Rand. Health Q. 6, 5 (2017)
13.
go back to reference Walker, P., et al.: Report 12: The global impact of COVID-19 and strategies for mitigation and suppression (2020) Walker, P., et al.: Report 12: The global impact of COVID-19 and strategies for mitigation and suppression (2020)
14.
go back to reference Policy, U.J.R.: Generation 2030 Africa: child demographics in Africa. Division of Data (2014) Policy, U.J.R.: Generation 2030 Africa: child demographics in Africa. Division of Data (2014)
15.
go back to reference Pettitt, E.D., Greifinger, R.C., Phelps, B.R., Bowsky, S.J.: Improving health services for adolescents living with HIV in sub-Saharan Africa: a multi-country assessment. Afr. J. Reprod. Health 17(4), 17–31 (2013) Pettitt, E.D., Greifinger, R.C., Phelps, B.R., Bowsky, S.J.: Improving health services for adolescents living with HIV in sub-Saharan Africa: a multi-country assessment. Afr. J. Reprod. Health 17(4), 17–31 (2013)
16.
go back to reference Pretorius, L., Gibbs, A., Crankshaw, T., Willan, S.: Interventions targeting sexual and reproductive health and rights outcomes of young people living with HIV: a comprehensive review of current interventions from sub-Saharan Africa. Glob. Health Action 8(1), 28454 (2015)CrossRef Pretorius, L., Gibbs, A., Crankshaw, T., Willan, S.: Interventions targeting sexual and reproductive health and rights outcomes of young people living with HIV: a comprehensive review of current interventions from sub-Saharan Africa. Glob. Health Action 8(1), 28454 (2015)CrossRef
17.
go back to reference Vahdat, H.L., L’Engle, K.L., Plourde, K.F., Magaria, L., Olawo, A.: There are some questions you may not ask in a clinic: providing contraception information to young people in Kenya using SMS. Int. J. Gynecol. Obstet. 123, e2–e6 (2013)CrossRef Vahdat, H.L., L’Engle, K.L., Plourde, K.F., Magaria, L., Olawo, A.: There are some questions you may not ask in a clinic: providing contraception information to young people in Kenya using SMS. Int. J. Gynecol. Obstet. 123, e2–e6 (2013)CrossRef
18.
go back to reference Nyong’o, D.: Strategies for Increasing Visibility and Performance of NonGovernmental Organizations in Kenya: A Case of Family Health Options Kenya (FHOK). United States International University-Africa (2009) Nyong’o, D.: Strategies for Increasing Visibility and Performance of NonGovernmental Organizations in Kenya: A Case of Family Health Options Kenya (FHOK). United States International University-Africa (2009)
19.
go back to reference Olsen, P.S., Plourde, K.F., Lasway, C., van Praag, E.: Insights from a text messaging-based sexual and reproductive health information program in tanzania (m4RH): retrospective analysis. JMIR mHealth uHealth 6(11), e10190 (2018)CrossRef Olsen, P.S., Plourde, K.F., Lasway, C., van Praag, E.: Insights from a text messaging-based sexual and reproductive health information program in tanzania (m4RH): retrospective analysis. JMIR mHealth uHealth 6(11), e10190 (2018)CrossRef
20.
go back to reference W.H.O: Ebola situation report 20 January 2016. In., pp. 1–13. World Health Organization (2016) W.H.O: Ebola situation report 20 January 2016. In., pp. 1–13. World Health Organization (2016)
21.
go back to reference Shuaib, F., et al.: Ebola virus disease outbreak—Nigeria. Morb. Mort. Weekly Rep. 63(39), 867 (2014) Shuaib, F., et al.: Ebola virus disease outbreak—Nigeria. Morb. Mort. Weekly Rep. 63(39), 867 (2014)
22.
go back to reference Onyeonoro, U.U., Ekpemiro, U.C., Abali, C., Nwokeukwu, H.I.: Ebola epidemic-the Nigerian experience. Pan Afr. Med. J. 22(Suppl 1), 17 (2015) Onyeonoro, U.U., Ekpemiro, U.C., Abali, C., Nwokeukwu, H.I.: Ebola epidemic-the Nigerian experience. Pan Afr. Med. J. 22(Suppl 1), 17 (2015)
23.
go back to reference Odlum, M., Yoon, S.: What can we learn about the Ebola outbreak from tweets? Am. J. Infect. Control 43(6), 563–571 (2015)CrossRef Odlum, M., Yoon, S.: What can we learn about the Ebola outbreak from tweets? Am. J. Infect. Control 43(6), 563–571 (2015)CrossRef
24.
go back to reference O’Donnell, A.: Using Mobile Phones for Polio Prevention in Somalia: An evaluation of the 2013–14 interactive messaging and mobile voucher system deployed in hard to reach areas in Somalia (2015) O’Donnell, A.: Using Mobile Phones for Polio Prevention in Somalia: An evaluation of the 2013–14 interactive messaging and mobile voucher system deployed in hard to reach areas in Somalia (2015)
25.
go back to reference Bell, B.P.: Overview, control strategies, and lessons learned in the CDC response to the 2014–2016 Ebola epidemic. MMWR Supplements 65 (2016) Bell, B.P.: Overview, control strategies, and lessons learned in the CDC response to the 2014–2016 Ebola epidemic. MMWR Supplements 65 (2016)
27.
go back to reference Aikins, S.K.: Determinants of digital divide in Africa and policy implications. Int. J. Public Adm. Digital Age (IJPADA) 6(1), 64–79 (2019) Aikins, S.K.: Determinants of digital divide in Africa and policy implications. Int. J. Public Adm. Digital Age (IJPADA) 6(1), 64–79 (2019)
28.
go back to reference Claar, C.L.: The adoption of computer security: an analysis of home personal computer user behavior using the health belief model. Utah State University (2011) Claar, C.L.: The adoption of computer security: an analysis of home personal computer user behavior using the health belief model. Utah State University (2011)
29.
go back to reference Rosenstock, I.M.: Historical origins of the health belief model. Health Educ. Monogr. 2(4), 328–335 (1974)CrossRef Rosenstock, I.M.: Historical origins of the health belief model. Health Educ. Monogr. 2(4), 328–335 (1974)CrossRef
30.
go back to reference Hall, K.S.: The health belief model can guide modern contraceptive behavior research and practice. J. Midwifery Women’s Health 57(1), 74–81 (2012)CrossRef Hall, K.S.: The health belief model can guide modern contraceptive behavior research and practice. J. Midwifery Women’s Health 57(1), 74–81 (2012)CrossRef
31.
go back to reference Eisen, M., Zellman, G.L., McAlister, A.L.: A health belief model approach to adolescents’ fertility control: some pilot program findings. Health Educ. Q. 12(2), 185–210 (1985)CrossRef Eisen, M., Zellman, G.L., McAlister, A.L.: A health belief model approach to adolescents’ fertility control: some pilot program findings. Health Educ. Q. 12(2), 185–210 (1985)CrossRef
32.
go back to reference Borrayo, E.A., Guarnaccia, C.A., Mahoney, M.J.: Prediction of breast cancer screening behavior among older women of Mexican descent: applicability of theoretical models. Int. J. Clin. Health Psychol. 1, 73–90 (2001) Borrayo, E.A., Guarnaccia, C.A., Mahoney, M.J.: Prediction of breast cancer screening behavior among older women of Mexican descent: applicability of theoretical models. Int. J. Clin. Health Psychol. 1, 73–90 (2001)
33.
go back to reference Rezaeian, M., Sharifirad, G., Mostafavi, F., Moodi, M., Abbasi, M.H.: The effects of breast cancer educational intervention on knowledge and health beliefs of women 40 years and older, Isfahan, Iran. J. Educ. Health Promot. 3, 43–43 (2014). https://doi.org/10.4103/2277-9531.131929 Rezaeian, M., Sharifirad, G., Mostafavi, F., Moodi, M., Abbasi, M.H.: The effects of breast cancer educational intervention on knowledge and health beliefs of women 40 years and older, Isfahan, Iran. J. Educ. Health Promot. 3, 43–43 (2014). https://​doi.​org/​10.​4103/​2277-9531.​131929
34.
go back to reference Zhao, J., et al.: Predictors of condom use behaviors based on the Health Belief Model (HBM) among female sex workers: a cross-sectional study in Hubei Province, China. PloS one 7(11), e49542 (2012) Zhao, J., et al.: Predictors of condom use behaviors based on the Health Belief Model (HBM) among female sex workers: a cross-sectional study in Hubei Province, China. PloS one 7(11), e49542 (2012)
35.
go back to reference Reback, C.J., Fletcher, J.B., Shoptaw, S., Mansergh, G.: Exposure to theory-driven text messages is associated with HIV risk reduction among methamphetamine-using men who have sex with men. AIDS Behav. 19(2), 130–141 (2015)CrossRef Reback, C.J., Fletcher, J.B., Shoptaw, S., Mansergh, G.: Exposure to theory-driven text messages is associated with HIV risk reduction among methamphetamine-using men who have sex with men. AIDS Behav. 19(2), 130–141 (2015)CrossRef
36.
go back to reference Champion, V.L., Skinner, C.S.: The health belief model. Health Behav. Health Educ. Theory Res. Pract. 4, 45–65 (2008) Champion, V.L., Skinner, C.S.: The health belief model. Health Behav. Health Educ. Theory Res. Pract. 4, 45–65 (2008)
37.
go back to reference Deng, Z.: Understanding public users’ adoption of mobile health service. Int. J. Mob. Commun. 11(4), 351–373 (2013)CrossRef Deng, Z.: Understanding public users’ adoption of mobile health service. Int. J. Mob. Commun. 11(4), 351–373 (2013)CrossRef
38.
go back to reference Surveillances, V.: The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19)—China, 2020. China CDC Weekly 2(8), 113–122 (2020)CrossRef Surveillances, V.: The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19)—China, 2020. China CDC Weekly 2(8), 113–122 (2020)CrossRef
39.
go back to reference Newsom, J.T., McFarland, B.H., Kaplan, M.S., Huguet, N., Zani, B.: The health consciousness myth: implications of the near independence of major health behaviors in the North American population. Soc. Sci. Med. 60(2), 433–437 (2005)CrossRef Newsom, J.T., McFarland, B.H., Kaplan, M.S., Huguet, N., Zani, B.: The health consciousness myth: implications of the near independence of major health behaviors in the North American population. Soc. Sci. Med. 60(2), 433–437 (2005)CrossRef
40.
go back to reference Gould, S.J.: Health consciousness and health behavior: the application of a new health consciousness scale. Am. J. Prev. Med. 6(4), 228–237 (1990)CrossRef Gould, S.J.: Health consciousness and health behavior: the application of a new health consciousness scale. Am. J. Prev. Med. 6(4), 228–237 (1990)CrossRef
41.
go back to reference Jayanti, R.K., Burns, A.C.: The antecedents of preventive health care behavior: an empirical study. J. Acad. Mark. Sci. 26(1), 6–15 (1998)CrossRef Jayanti, R.K., Burns, A.C.: The antecedents of preventive health care behavior: an empirical study. J. Acad. Mark. Sci. 26(1), 6–15 (1998)CrossRef
42.
go back to reference Kraft, F.B., Goodell, P.W.: Identifying the health conscious consumer. Mark. Health Serv. 13(3), 18 (1993) Kraft, F.B., Goodell, P.W.: Identifying the health conscious consumer. Mark. Health Serv. 13(3), 18 (1993)
43.
go back to reference Vlontzos, G., Duquenne, M.N.: To eat or not to eat? The case of genetically modified (GM) food. Nutr. Food Sci. (2016) Vlontzos, G., Duquenne, M.N.: To eat or not to eat? The case of genetically modified (GM) food. Nutr. Food Sci. (2016)
44.
go back to reference Yoo, E.Y., Robbins, L.S.: Understanding middle-aged women’s health information seeking on the web: a theoretical approach. J. Am. Soc. Inf. Sci. Technol. 59(4), 577–590 (2008)CrossRef Yoo, E.Y., Robbins, L.S.: Understanding middle-aged women’s health information seeking on the web: a theoretical approach. J. Am. Soc. Inf. Sci. Technol. 59(4), 577–590 (2008)CrossRef
45.
go back to reference Kim, J., Park, H.-A.: Development of a health information technology acceptance model using consumers’ health behavior intention. J. Med. Internet Res. 14(5), e133 (2012)CrossRef Kim, J., Park, H.-A.: Development of a health information technology acceptance model using consumers’ health behavior intention. J. Med. Internet Res. 14(5), e133 (2012)CrossRef
46.
go back to reference Hale, T.M., Cotten, S.R., Drentea, P., Goldner, M.: Rural-urban differences in general and health-related internet use. Am. Behav. Sci. 53(9), 1304–1325 (2010)CrossRef Hale, T.M., Cotten, S.R., Drentea, P., Goldner, M.: Rural-urban differences in general and health-related internet use. Am. Behav. Sci. 53(9), 1304–1325 (2010)CrossRef
47.
go back to reference Wood, W.: Attitude change: persuasion and social influence. Annu. Rev. Psychol. 51(1), 539–570 (2000)CrossRef Wood, W.: Attitude change: persuasion and social influence. Annu. Rev. Psychol. 51(1), 539–570 (2000)CrossRef
48.
go back to reference Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)CrossRef Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)CrossRef
49.
go back to reference Kelman, H.C.: Social influence and linkages between the individual and the social system: further thoughts on the processes of compliance, identification, and internalization. S. 125–171 in: J. Tedeschi. Perspectives on social power. Aldine, Chicago (1974) Kelman, H.C.: Social influence and linkages between the individual and the social system: further thoughts on the processes of compliance, identification, and internalization. S. 125–171 in: J. Tedeschi. Perspectives on social power. Aldine, Chicago (1974)
50.
go back to reference Varnali, K., Gorgulu, V.: A social influence perspective on expressive political participation in Twitter: the case of# OccupyGezi. Inf. Commun. Soc. 18(1), 1–16 (2015)CrossRef Varnali, K., Gorgulu, V.: A social influence perspective on expressive political participation in Twitter: the case of# OccupyGezi. Inf. Commun. Soc. 18(1), 1–16 (2015)CrossRef
51.
go back to reference Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)CrossRef Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)CrossRef
52.
go back to reference Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q., 319–340 (1989) Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q., 319–340 (1989)
53.
go back to reference Sharif, S.P., Ahadzadeh, A.S., Wei, K.K.: A moderated mediation model of internet use for health information. J. Soc. Sci. (COES&RJ-JSS) 4(1), 611–625 (2018) Sharif, S.P., Ahadzadeh, A.S., Wei, K.K.: A moderated mediation model of internet use for health information. J. Soc. Sci. (COES&RJ-JSS) 4(1), 611–625 (2018)
54.
go back to reference Holden, R.J., Karsh, B.T.: The technology acceptance model: its past and its future in health care. J. Biomed. Inf. 43(1), 159–172 (2010)CrossRef Holden, R.J., Karsh, B.T.: The technology acceptance model: its past and its future in health care. J. Biomed. Inf. 43(1), 159–172 (2010)CrossRef
55.
go back to reference Ahadzadeh, A.S., Sharif, S.P., Ong, F.S., Khong, K.W.: Integrating health belief model and technology acceptance model: an investigation of health-related internet use. J. Med. Internet Res. 17(2), e45 (2015)CrossRef Ahadzadeh, A.S., Sharif, S.P., Ong, F.S., Khong, K.W.: Integrating health belief model and technology acceptance model: an investigation of health-related internet use. J. Med. Internet Res. 17(2), e45 (2015)CrossRef
56.
go back to reference Campbell, J.I., et al.: The technology acceptance model for resource-limited settings (TAM-RLS): a novel framework for mobile health interventions targeted to low-literacy end-users in resource limited settings. AIDS Behav. 21(11), 3129–3140 (2017)CrossRef Campbell, J.I., et al.: The technology acceptance model for resource-limited settings (TAM-RLS): a novel framework for mobile health interventions targeted to low-literacy end-users in resource limited settings. AIDS Behav. 21(11), 3129–3140 (2017)CrossRef
57.
go back to reference Seth, A., Coffie, A.J., Richard, A., Stephen, S.A.: Hospital administration management technology adoption: a theoretical test of technology acceptance model and theory of planned behavior on HAMT adoption. Am. J. Public Health 7(1), 21–26 (2019)CrossRef Seth, A., Coffie, A.J., Richard, A., Stephen, S.A.: Hospital administration management technology adoption: a theoretical test of technology acceptance model and theory of planned behavior on HAMT adoption. Am. J. Public Health 7(1), 21–26 (2019)CrossRef
58.
go back to reference Beldad, A.D., Hegner, S.M.: Expanding the technology acceptance model with the inclusion of trust, social influence, and health valuation to determine the predictors of German users’ willingness to continue using a fitness app: a structural equation modeling approach. Int. J. Hum. Comput. Interact. 34(9), 882–893 (2018)CrossRef Beldad, A.D., Hegner, S.M.: Expanding the technology acceptance model with the inclusion of trust, social influence, and health valuation to determine the predictors of German users’ willingness to continue using a fitness app: a structural equation modeling approach. Int. J. Hum. Comput. Interact. 34(9), 882–893 (2018)CrossRef
60.
go back to reference Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991)CrossRef Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991)CrossRef
61.
go back to reference Sarstedt, M., Cheah, J.-H.: Partial least squares structural equation modeling using SmartPLS: a software review. J. Mark. Anal. 7(3), 196–202 (2019)CrossRef Sarstedt, M., Cheah, J.-H.: Partial least squares structural equation modeling using SmartPLS: a software review. J. Mark. Anal. 7(3), 196–202 (2019)CrossRef
62.
go back to reference Sarstedt, M., Ringle, C.M., Hair, J.F.: Partial least squares structural equation modeling. Handbook Mark. Res. 26, 1–40 (2017)MATH Sarstedt, M., Ringle, C.M., Hair, J.F.: Partial least squares structural equation modeling. Handbook Mark. Res. 26, 1–40 (2017)MATH
Metadata
Title
Social Media and Public Health Emergency of International Concern: The COVID-19 Outbreak
Authors
Josue Kuika Watat
Magaly Moukoko Mbonjo
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-64849-7_55

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