MLA Citation Format for COVID-19 Research: Convert APA to MLA Style

Alamoodi, A. H., et al. "Sentiment Analysis and Its Applications in Fighting COVID-19 and Infectious Diseases: A Systematic Review." Expert Systems With Applications, vol. 167, 2020, p. 114155.

Alhassan, F. M., and AlDossary, S. A. "The Saudi Ministry of Health's Twitter Communication Strategies and Public Engagement During the COVID-19 Pandemic: Content Analysis Study." Jmir Public Health and Surveillance, vol. 7, no. 7, 2021, doi: 10.2196/27942.

Cheng, C., Luo, Y., and Yu, C. "Dynamic Mechanism of Social Bots Interfering With Public Opinion In Network." Physica A-Statistical Mechanics and Its Applications, vol. 551, 2020, p. 124163.

Chen, K., et al. "Characteristics of Misinformation Spreading on Social Media During the COVID-19 Outbreak in China: A Descriptive Analysis." Risk Management and Healthcare Policy, vol. 14, 2021, pp. 1869-1879, doi: 10.2147/RMHP.S312327.

Fan, C., Jiang, Y., and Mostafavi, A. "The Role of Local Influential Users in Spread of Situational Crisis Information." Journal of Computer-Mediated Communication, vol. 26, no. 2, 2021, pp. 145-160, doi: 10.1093/JCMC/ZMAA020.

Gallotti, R., et al. "Assessing the Risks of ‘Infodemics’ in Response to COVID-19 Epidemics." Nature Human Behaviour, vol. 4, no. 12, 2020, pp. 1285-1293.

Gu, J., et al. "Analyzing Risk Communication, Trust, Risk Perception, Negative Emotions, and Behavioral Coping Strategies During the COVID-19 Pandemic in China Using a Structural Equation Model." Frontiers in Public Health, vol. 10, 2022, doi: 10.3389/FPUBH.2022.843787.

Harper, T., and Attwell, K. "How Vaccination Rumours Spread Online: Tracing the Dissemination of Information Regarding Adverse Events of COVID-19 Vaccines." International Journal of Public Health, 2022, doi: 10.3389/IJPH.2022.1604228.

Huo, L., and Li, X. "An Interplay Model for Official Information and Rumor Spreading with Impulsive Effects." Advances in Difference Equations, vol. 2019, no. 1, 2019, pp. 1-16, doi: 10.1186/s13662-019-2103-7.

Kim, H. M., et al. "How Public Health Agencies Break through COVID-19 Conversations: A Strategic Network Approach to Public Engagement." Health Communication, vol. 37, no. 10, 2021, pp. 1276-1284, doi: 10.1080/10410236.2021.1886393.

Li, S., Liu, Z., and Li, Y. "Temporal and Spatial Evolution of Online Public Sentiment on Emergencies." Information Processing and Management, vol. 57, no. 2, 2020, p. 102177.

Li, Z., et al. "Improving the Communication and Credibility of Government Media in Response to Public Health Emergencies: Analysis of Tweets from the WeChat Official Accounts of 10 Chinese Health Commissioners." Frontiers in Public Health, 2022, doi: 10.3389/FPUBH.2022.900776.

Lu, Y., et al. "The influence of psychological language words contained in microblogs on dissemination behaviour in emergency situations - mediating effects of emotional responses." Behaviour & Information Technology, 2022, doi: 10.1080/0144929X.2021.1886325.

Stella, M., Ferrara, E., and Domenico, M. "Bots Increase Exposure To Negative and Inflammatory Content in Online Social Systems." Proceedings of the National Academy of Sciences, vol. 115, no. 49, 2018, pp. 12435-12440.

Tomz, M., Weeks, J. L. P., and Yarhi-Milo, K. "Public Opinion and Decisions About Military Force in Democracies." International Organization, vol. 74, no. 1, 2020, pp. 119-143.

Tsang, S. J., Zhao, X., and Chen, Y. R. R. "Assessing Mechanisms Underlying the Sharing of Official and Unofficial Information During a Pandemic." International Journal of Environmental Research and Public Health, vol. 18, no. 24, 2021, doi: 10.3390/ijerph182413298.

Wang, X., et al. "A Rumor Reversal Model of Online Health Information during the Covid-19 Epidemic." Information Processing & Management, vol. 58, no. 6, 2021, doi: 10.1016/J.IPM.2021.102731.

Wang, Y., Hao, H., and Platt, L. S. "Examining Risk and Crisis Communications of Government Agencies and Stakeholders During Early-stages of COVID-19 on Twitter." Computers in Human Behavior, vol. 114, 2021, p. 106568.

Yudarwati, G. A., et al. "Examining the Indonesian Government's Social Media Use for Disaster Risk Communication." Asian Journal of Communication, vol. 32, no. 1, 2022, pp. 1-20, doi: 10.1080/01292986.2021.2007274.

Zhang, Y., Shan, J., and Ye, Z. "Government Information Dissemination During Public Health Emergencies: An Analysis of China's Experiences." Frontiers in Public Health, 2022, doi: 10.3389/FPUBH.2022.748236.

Zhang, Y., et al. "The Impact of Official Rumor-Refutation Information on the Dynamics of Rumor Spread." Physica A: Statistical Mechanics and its Applications, vol. 607, 2022, doi: 10.1016/J.PHYSA.2022.128096.

Zhao, Y., Cheng, S., Yu, X., et al. "Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study." Journal of Medical Internet Research, vol. 22, no. 5, 2020, p. e18825.

Zhao, L., Xie, W., Gao, H. O., et al. "A Rumor Spreading Model With Variable Forgetting Rate." Physica A-Statistical Mechanics and its Applications, vol. 392, no. 23, 2013, pp. 6146-6154.

Zhu, Z., Liu, C., Wu, J., et al. "The Influence of Human Heterogeneity to Information Spreading." Journal of Statistical Physics, vol. 154, no. 6, 2014, pp. 1569-1577.