The Impact of Strict Public Health Measures on COVID-19 Transmission in Developing Countries: The Case of Kuwait

COVID-19 vaccines side effects among the general population during the pandemic: a cross-sectional study

Background and aims

The general population have depicted concern about the safety and efficacy of the vaccine and its long-term effects on human health. Pakistan being on the verge of the pandemic is in more demand for vaccination and immunization. Therefore, this study aimed to evaluate the COVID-19 vaccines side effects among the general population.

Methods

A cross-sectional face-to-face study was carried out among individuals who received either the first dosage or both doses of vaccination in twin cities (Islamabad and Rawalpindi) of Pakistan. Data was collected through a self-administered questionnaire. The questionnaire included three sections (socio-demographic, medical history, vaccine, and immunization) with 20 questions. The collected data was analyzed in SPSS (version 25) using descriptive statistics, the chi-square test, and the odd ratio.

Results

A total of 2,618 participants were included and of them, females (55.3%; n = 1,449) were more than males. The majority of the participants reported the use of precautionary medicines including vitamin C (1,319; 50.4%) followed by paracetamol (n = 1,249; 47.7%) and mineral supplements (n = 616; 23.5%) for COVID-19. In this study, 3.8% (n = 99) were unvaccinated and the first and second doses of the vaccine was received by 2,519 and 2,239 of the participants, respectively. Different types of side effects were highlighted in the current study. The most frequently reported side effects after the first dose of COVID-19 were fever (n = 997), pain at the injection site (n = 994), muscle pain (n = 620), and fatigue (n = 482). Additionally, pain at the injection site (n = 852), fever (n = 815), and muscle pain (n = 601) were commonly reported after the 2nd dose of COVID-19. The lowest reported side effects were swollen lymph nodes and anaphylactic shock. In the current study, people who were previously immunized with the flu and pneumonia vaccine had a lower risk of developing side effects (p < 0.05).

Conclusion

This study highlights important information about side effects reported due to the COVID-19 vaccinations. Moreover, the use of precautionary medications was also highlighted. These findings could have a valuable impact on designing future comparative studies and developing policies/guidelines for pandemic preparedness.

Effect of COVID-19 pandemic on serious mental illness-related outpatient department utilization in Ningbo, China: an interrupted time series analysis

Background

Globally, the coronavirus disease 2019 (COVID-19) pandemic has negatively affected mental health services, but there is no clear evidence of this in China. Therefore, we examined the effect of the COVID-19 pandemic on the use of serious mental illness (SMI)-related outpatient services in Ningbo, China.

Methods

We analyzed the trends in monthly SMI-related outpatient department utilization from January 2018 to June 2022 using interrupted time series (ITS) regression analysis, and we defined the onset of the COVID-19 pandemic as January 2020. We also performed ITS regression analyses for sex and age subgroups.

Results

A significant difference in the monthly number of outpatient visit slopes before and after the onset of the pandemic was shown in the SMI analysis [-175.6, 95% confidence interval (CI) (-338.3 to -12.9), p < 0.05]. All sex and age categories, except the 20-30 years age category, showed statistically significant changes in their slopes after the onset of the pandemic. Significant differences in the number of outpatient visit slopes before and after the onset of the pandemic were seen for schizophrenia and bipolar disorders [-153.3, 95% CI (-294.1 to -12.5) and -16.8 (-31.0 to -2.6), respectively]. Moreover, a negative relationship was observed between the monthly number of outpatient visits and the number of incidents and accidents due to SMI (r = -0.38, p < 0.05).

Conclusion

The COVID-19 pandemic has had a negative effect on SMI-related outpatient visits in Ningbo, especially by patients with schizophrenia. A strategy should be developed and implemented to maintain access to SMI services during the COVID-19 pandemic.

Impact of COVID-19 pandemic on catheter ablation in China: A spatiotemporal analysis

Background

The COVID-19 pandemic has significantly impacted routine cardiovascular health assessments and services. We aim to depict the temporal trend of catheter ablation (CA) and provide experience in dealing with the negative impact of the COVID-19 pandemic.

Methods

Data on CA between January 2019, and December 2021, were extracted from the National Center for Cardiovascular Quality Improvement platform. CA alterations from 2019 to 2021 were assessed with a generalized estimation equation.

Results

A total of 347,924 patients undergoing CA were included in the final analysis. The CA decreased remarkably from 122,839 in 2019 to 100,019 (-18.58%, 95% CI: -33.40% to -3.75%, p = 0.02) in 2020, and increased slightly to 125,006 (1.81%, 95% CI: -7.01% to 3.38%, p = 0.49) in 2021. The CA experienced the maximal reduction in February 2020 (-88.78%) corresponding with the peak of monthly new COVID-19 cases and decreased by 54.32% (95%CI: -71.27% to -37.37%, p < 0.001) during the 3-month lockdown and increased firstly in June 2020 relative to 2019. Since then, the CA in 2020 remained unchanged relative to 2019 (-0.06%, 95% CI: -7.01% to 3.38%, p = 0.98). Notably, the recovery of CA in 2021 to pre-COVID-19 levels was mainly driven by the growth of CA in secondary hospitals. Although there is a slight increase (2167) in CA in 2021 relative to 2019, both the absolute number and proportion of CA in the top 50 hospitals nationwide [53,887 (43.09%) vs. 63,811 (51.95%), p < 0.001] and top three hospitals in each province [66,152 (52.73%) vs. 72,392 (59.28%), p < 0.001] still declined significantly.

Conclusions

The CA experienced a substantial decline during the early phase of the COVID-19 pandemic, and then gradually returned to pre-COVID-19 levels. Notably, the growth of CA in secondary hospitals plays an important role in the overall resumption, which implies that systematic guidance of secondary hospitals with CA experience may aid in mitigating the negative impact of the COVID-19 pandemic.

Factors Associated with Self-Medication during the COVID-19 Pandemic: A Cross-Sectional Study in Pakistan

Self-medication (SM) is characterized by the procurement and use of medicines by bypassing primary healthcare services and without consulting a physician, usually to manage acute symptoms of self-diagnosed illnesses. Due to the limited availability of primary healthcare services and the anxiety associated with the COVID-19 pandemic, the compulsion to SM by the public has increased considerably. The study aimed to assess the characteristics, practices, and associated factors of SM by the public during the COVID-19 pandemic in Sargodha, Pakistan. χ2-tests and univariable analyses were conducted to explore the identification of characteristics and the potential contributing factors for SM during COVID-19, while multivariable logistic regression models were run to study the effect of variables that maintained a significant association. The study was performed during July−September 2021, with n = 460 questionnaires returned overall (response rate: 99.5%). The majority of respondents were males (58.7%, n = 270) who live in the periphery of the town (63.9%, n = 294), and most of the respondents belonged to the age group of 18−28 years (73.3%, n = 339). A large number, 46.1% (n = 212), of the participants were tested for COVID-19 during the pandemic, and among them, 34.3% (n = 158) practiced SM during the pandemic; the most common source of obtaining medicines was requesting them directly from a pharmacy (25.0%; n = 127). The chances of practicing SM for medical health professionals were 1.482 (p-value = 0.046) times greater than for non-medical health personnel. The likelihood of practicing SM in participants whose COVID-19 test was positive was 7.688 (p-value < 0.001) times more than who did not test for COVID-19. Allopathic medicines, acetaminophen (23.6%), azithromycin (14,9%), and cough syrups (13%), and over the counter (OTC) pharmaceuticals, vitamin oral supplements, such as Vitamin C (39.1%), folic acid (23.5%), and calcium (22.6%), were the most commonly consumed medicines and supplements, respectively; being a healthcare professional or having a COVID-test prior showed a significant association with the usage of Vitamin C (p < 0.05 in all cases). Respondents who mentioned unavailability of the physician and difficulty in travelling/reaching healthcare professionals were found 2.062-times (p-value = 0.004) and 1.862-times (p-value = 0.021) more likely to practice SM, respectively; SM due to fear of COVID was more common in individuals who had received COVID-tests prior (p = 0.004). Practices of SM were observed at alarming levels among our participants. Consciousness and understanding about the possible adverse effects of SM must be established and validated on a continuous level; in addition, on a commercial level, collaboration from pharmacists not to sell products (especially prescription-only medicines) without a certified prescription must be developed and implemented.

Development of a clinical risk score to predict death in patients with COVID-19

OBJECTIVE

To build a clinical risk score to aid risk stratification among hospitalised COVID-19 patients.

METHODS

The score was built using data of 417 consecutive COVID-19 in patients from Kuwait. Risk factors for COVID-19 mortality were identified by multivariate logistic regressions and assigned weighted points proportional to their beta coefficient values. A final score was obtained for each patient and tested against death to calculate an Receiver-operating characteristic curve. Youden's index was used to determine the cut-off value for death prediction risk. The score was internally validated using another COVID-19 Kuwaiti-patient cohort of 923 patients. External validation was carried out using 178 patients from the Italian CoViDiab cohort.

RESULTS

Deceased COVID-19 patients more likely showed glucose levels of 7.0-11.1 mmol/L (34.4%, p < 0.0001) or >11.1 mmol/L (44.3%, p < 0.0001), and comorbidities such as diabetes and hypertension compared to those who survived (39.3% vs. 20.4% [p = 0.0027] and 45.9% vs. 26.6% [p = 0.0036], respectively). The risk factors for in-hospital mortality in the final model were gender, nationality, asthma, and glucose categories (<5.0, 5.5-6.9, 7.0-11.1, or 11.1 > mmol/L). A score of ≥5.5 points predicted death with 75% sensitivity and 86.3% specificity (area under the curve (AUC) 0.901). Internal validation resulted in an AUC of 0.826, and external validation showed an AUC of 0.687.

CONCLUSION

This clinical risk score was built with easy-to-collect data and had good probability of predicting in-hospital death among COVID-19 patients.