Background A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating consequences.Objectives To measure the level of COVID-19 information overload (COVIO) and assess the association between COVIO and sociodemographic characteristics among the general public. Methods A cross-sectional online survey was conducted between April and May 2020 using a modified Cancer Information Overload scale. The survey was developed and posted on four social media platforms. The data were only collected from those who consented to participate. COVIO score was classified into high vs. low using the asymmetrical distribution as a guide and conducted a binary logistic regression to examine the factors associated with COVIO. Results A total number of 584 respondents participated in this study. The mean COVIO score of the respondents was 19.4 (± 4.0). Sources and frequency of receiving COVID-19 information were found to be significant predictors of COVIO. Participants who received information via the broadcast media were more likely to have high COVIO than those who received information via the social media (adjusted odds ratio ([aOR],14.599; 95% confidence interval [CI], 1.608-132.559; p = 0.017). Also, participants who received COVID-19 information every minute (aOR, 3.892; 95% CI,; p = 0.032) were more likely to have high COVIO than those who received information every week. Conclusion The source of information and the frequency of receiving COVID-19 information were significantly associated with COVIO. The COVID-19 information is often conflicting, leading to confusion and overload of information in the general population. This can have unfavorable effects on the measures taken to control the transmission and management of COVID-19 infection.

Students of the health sciences are the future frontliners to fight pandemics. The students’ participation in COVID-19 response varies across countries and are mostly for educational purposes. Understanding the determinants of COVID-19 vaccine acceptability is necessary for a successful vaccination program. This study aimed to investigate the factors associated with COVID-19 vaccine acceptance among health sciences students in Northwest Nigeria. The study was an online self-administered cross-sectional study involving a survey among students of health sciences in some selected universities in Northwest Nigeria. The survey collected pertinent data from the students, including socio-demographic characteristics, risk perception for COVID-19, and willingness to accept the COVID-19 vaccine. Multiple logistic regression was used to determine the predictors of COVID-19 vaccine acceptance. A total of 440 responses with a median (interquartile range) age of 23 (4.0) years were included in the study. The prevalence of COVID-19 vaccine acceptance was 40.0%. Factors that independently predict acceptance of the vaccine were age of 25 years and above (adjusted odds ratio, aOR, 2.72; 95% confidence interval, CI, 1.44–5.16; p = 0.002), instructions from heads of institutions (aOR, 11.71; 95% CI, 5.91–23.20; p<0.001), trust in the government (aOR, 20.52; 95% CI, 8.18–51.51; p<0.001) and willingness to pay for the vaccine (aOR, 7.92; 95% CI, 2.63–23.85; p<0.001). The prevalence of COVID-19 vaccine acceptance among students of health sciences was low. Older age, mandate by heads of the institution, trust in the government and readiness to pay for the vaccine were associated with acceptance of the vaccine. Therefore, stakeholders should prioritize strategies that would maximize the vaccination uptake.

A drug-related problem (DRP) is an event or circumstance involving drug therapy that actually or potentially interferes with desired outcome. The complexities in drug regimens used in cervical cancer chemotherapy has led to more serious problems. The aim of this study is to investigate DRPs in cervical cancer patients receiving chemotherapy. The study was a retrospective cross sectional study on patients receiving cervical cancer chemotherapy at Ahmadu Bello University Teaching Hospital Zaria (ABUTH). Patients' medication charts were reviewed from July, 2015 to June, 2016. Data were collected using the Pharmaceutical Care Network Europe (PCNE) Classification of DRP V 6.20. A total of 224 DRPs cases were identified from 65 cervical cancer patients. The DRPs were mostly on treatment effectiveness (28.1%), adverse reaction (29.0%), and cost (26.8%), while the causes were majorly drug selection (28.1%) and dose selection (29.0%). The risk factors for the DRPs were found to be comorbidities and polypharmacy. In conclusion, DRPs were common among cervical cancer patients receiving chemotherapy at ABUTH. Pharmacist interventions to achieve a better therapeutic outcome are necessary.