Protecting public's wellbeing against COVID-19 infodemic: The role of trust in information sources and rapid dissemination and transparency of information over time

COVID-19 information sources, knowledge, attitude and control practices among community members during the pandemic in Ebonyi state, Nigeria: an analytical cross-sectional study

OBJECTIVES

After taking a heavy toll on the world population, the COVID-19 pandemic is now an endemic disease of global public health significance that requires long-term application of control measures, which will likely be influenced by people's sources of information, knowledge and attitude about COVID-19 and their previous use of control measures. This study aimed to further the understanding of COVID-19 information sources, knowledge, attitude and control practices and their predictors among community members in Ebonyi state, Nigeria during the COVID-19 pandemic.

DESIGN

Analytical cross-sectional survey.

SETTING AND PARTICIPANTS

We conducted a survey among all consenting/assenting community members aged 15 years and above in 28 randomly selected geographical clusters between 12 March and 9 May 2022. Data were collected through a structured, interviewer-administered questionnaire using KoBoCollect installed in Android devices.

ANALYSIS

Descriptive and inferential statistical analyses were done, including multivariate generalised estimating equations.

RESULTS

10 825 participants were surveyed. The radio was the most common individual source of information about COVID-19 (used by 71.9% of the participants), and also the main and most trusted source of information for majority of the participants (46.1% and 44.7%, respectively). This was followed by family members/relatives/friends (61.8%) as the next most common source of information about COVID-19. Next to radio, family members/relatives/friends (13.2%) were the second main source of information, followed by health workers (13.0%). Meanwhile, health workers (15.2%) were the second most trusted source of COVID-19 information, next to radio. Traditional media was the main and also the most trusted source of information (55.6% and 54.3%, respectively), followed by interpersonal sources (36.9% and 39.7%, respectively) and internet/social media/text messages (7.5% and 6.0%, respectively). 10.1%, 51.4% and 23.7% of the participants had good knowledge, good attitude and good control practice, respectively. The strongest and most important predictor of the main and most trusted sources of information was gender. Other predictors included marital status, educational level, age and occupation. Good attitude, being married and educational level were strong predictors of good control practices.

CONCLUSION

The evidence from this study should be used to guide subsequent policy actions on COVID-19 or other similar health emergencies in order to enhance effective emergency health information dissemination and optimal use of control measures by community members in Ebonyi state, Nigeria and in other similar settings.

Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications

The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication. We highlight the evolution and current applications of AI-driven messaging services, including their ability to provide personalized, scalable, and accessible health interventions. Specifically, we discuss the integration of large language models and generative AI in mainstream messaging platforms, which potentially outperform traditional information retrieval systems in public health contexts. We report a critical examination of the advantages of generalist CAI in delivering health information, with a case of its operationalization during the COVID-19 pandemic and propose the strategic deployment of these technologies in collaboration with public health agencies. In addition, we address significant challenges and ethical considerations, such as AI biases, misinformation, privacy concerns, and the required regulatory oversight. We envision a future with leverages generalist CAI in messaging apps, proposing a multiagent approach to enhance the reliability and specificity of health communications. We hope this commentary initiates the necessary conversations and research toward building evaluation approaches, adaptive strategies, and robust legal and technical frameworks to fully realize the benefits of AI-enhanced communications in public health, aiming to ensure equitable and effective health outcomes across diverse populations.

COVID-19 and COVID-19 vaccination experiences and perceptions among health workers during the pandemic in Ebonyi state, Nigeria: An analytical cross-sectional study

BACKGROUND

COVID-19 continues to be a disease of global public health importance and requires long-term management and control. Health workers' (previous) experiences and perceptions regarding the COVID-19 pandemic and COVID-19 vaccination/vaccination process will influence not only their subsequent use of control measures but also public experiences/perceptions. We explored the COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions, and their predictors, among the health workers in Ebonyi state, Nigeria.

METHODS

We conducted an online-offline analytical cross-sectional survey between March 12 and May 9, 2022 among all categories of health workers (clinical/non-clinical, public/private) working/living in Ebonyi state who consented to participate and were selected by convenience/snowballing techniques. A structured electronic questionnaire was used to collect data: self-administered via WhatsApp and interviewer-administered via KoBoCollect for participants who did not have WhatsApp. Data was analysed using descriptive statistics and bivariate/multivariate generalized linear models.

RESULTS

Of the 1276 health workers surveyed: 55.8% had strong COVID-19 experience and perception, 80.7% had good COVID-19 vaccination expectation and perception, and 87.7% had positive COVID-19 vaccination process experience and perception. The most important predictors of the extent and level of COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions were level of place of work (primary-secondary/tertiary), level of attitude towards COVID-19 (vaccination), and level of knowledge about COVID-19. Another important predictor was place of work (public/private).

CONCLUSIONS

The evidence indicate the factors that should guide subsequent policy actions in the strategies to enhance the COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions of health workers (and their use of control measures) in Ebonyi state, Nigeria, and other similar contexts. It also indicate factors to be considered by future policy actions regarding similar diseases.

The Impact of SARS-CoV-2 Infection on the Length of Stay in the Neuro-ICU:A Prospective Multicenter Cohort Study in Eight Neuro-ICU, China Between February and April 2023

Purpose

The SARS-CoV-2 infection cases are increasing rapidly in neuro-intensive care units (neuro-ICUs) at the beginning of 2023 in China. We aimed to characterize the prevalence, risk factors, and prognosis of critically ill patients treated in neuro-ICUs.

Materials and Methods

In the prospective, multicenter, observational registry study, critically ill patients with intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH), and traumatic brain injury (TBI) admitted to eight Chinese neuro-ICUs between Feb 16, 2023, to Apr 30, 2023 were enrolled for the study. Mortality and ICU stay day were used as the primary outcomes.

Results

131 patients were finally included and analyzed (mean age 60.36 years [SD 13.81], 64.12% male, 39.69% SARS-CoV-2 infected). The mortality is higher in the SARS-CoV-2 infection group without statistical signification (7.69% vs 5.06%, p>0.05). The length of stay (LOS) in neuro-ICUs was significantly longer among the SARS-CoV-2 infection patients (7(1-12) vs 4(1-8), p<0.01), with increased viral pneumonia occurrence (58.54% vs 7.32%, p<0.01). SARS-CoV-2 infection, surgery, and low GCS scores were independent risk factors for prolonged LOS, and respiratory/renal failure were independent risk factors for death.

Conclusion

Based on the present neuro-ICU cohort, SARS-CoV-2 infection was a significant risk for the prolonged LOS of neuro-critically ill patients.

Trial Registration

Registered with Chictr.org.cn (ChiCTR2300068355) at 16 February 2023, Prospective registration. https://www.chictr.org.cn/showproj.html?proj=188252.

COVID-19 and COVID-19 vaccination experiences and perceptions and their predictors among community members during the COVID-19 pandemic in Ebonyi state, Nigeria: an analytical cross-sectional study

BACKGROUND

COVID-19 is still a disease of global public health importance which requires long term application of control measures as millions of new infections or re-infections and thousands of related deaths still occur worldwide and the risk of an upsurge from new strains of the virus continues to be a threat. The decrease in the use of and non-use of preventive public health measures are among the factors fuelling the disease. The (previous) experiences and perceptions of people regarding the COVID-19 pandemic, COVID-19 vaccination, and the vaccination process are factors that will influence subsequent use of preventive/control measures. We explored the COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions, and their predictors, among the community members in Ebonyi state, Nigeria.

METHODS

We conducted an analytical cross-sectional study between March 12 and May 9, 2022 among all consenting/assenting community members aged 15 years and above in 28 randomly selected geographical clusters. A structured interviewer-administered electronic questionnaire in KoBoCollect installed in android devices was used to collect data which was analysed using descriptive statistics and bivariate and multivariate generalized estimating equations.

RESULTS

Of the 10,825 community members surveyed: only 31.6% had strong COVID-19 experience and perception, 72.2% had good COVID-19 vaccination expectation and perception, and only 54.2% had positive COVID-19 vaccination process experience and perception. The most important predictors of the extent/level of COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions were level of attitude towards COVID-19 and COVID-19 vaccination and level of knowledge about COVID-19. Other important predictors were marital status, educational level, and main occupation.

CONCLUSIONS

This study's evidence, including the identified predictors, will inform subsequent policy actions regarding COVID-19 in the strategies to improve the COVID-19 and COVID-19 vaccination and the vaccination process experiences and perceptions of community members (and their use of preventive/control measures) in Ebonyi state and Nigeria, and other similar contexts. It will also inform future policy actions/strategies regarding similar diseases.

The effect of social media and infodemic on mental health during the COVID-19 pandemic: results from the COMET multicentric trial

On January 30, 2020, the World Health Organization (WHO) declared the status of pandemic due to the COVID-19 infection. The initial phases of the pandemic were characterized by uncertainty and public fears. In order to cope with such unexpected conditions, people adopted different coping strategies, including search for information, accessing Internet, and using social media. The present study based on the COMET collaborative research network aims to: (1) assess use of Internet and of social media among the Italian general population; (2) explore differences in web usage between people with pre-existing mental disorders and the general population; (3) identify changes over time in social media usage along the phase 1 of the pandemic; (4) identify the clinical, socio-demographic and contextual predictors of excessive use of social media. A significant increase in time spent on Internet, with an average time of 4.8  ±  0.02 h per day, was found in the global sample of 20,720 participants. Compared with the general population, Internet use was significantly higher in people with pre-existing mental disorders (5.2  ± 0.1 h vs. 4.9  ±  0.02; p < 0.005). According to the multivariate logistic regression model, the risk of excessive use of social media and Internet was significantly higher in people with moderate levels of depressive symptoms (OR: 1.26, CI 95%: 0.99 to 1.59, p < 0.0.005); while protective factors were being students (OR: 0.72, CI 95%: 0.53 to 0.96, p < 0.0029) and living in central Italy (OR: 0.46, CI 95%: 0.23 to 0.90, p < 0.002). The evaluation of social media and Internet use by the general population represents a first step for developing specific protective and supportive interventions for the general population, including practical suggestions on how to safely use Internet and social media.