Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic

Pneumonia in Sudan: Systematic and Scoping Review of the Literature and Meta-Analysis

In addition to excessive burden of non-communicable diseases, natural and manmade disasters, and internal conflicts, Sudan is predominantly susceptible to communicable diseases, such as malaria, tuberculosis, and pneumonia, which bring about an extra burden of demand for high-quality healthcare. According to the WHO and the Sudan Health Observatory, pneumonia is one of the leading causes of death in Sudan. This study therefore aimed to illustrate pneumonia literature in Sudan, estimate infection prevalence regardless of the cause among Sudanese children and adults, and demonstrate its related risk factors. A systematic and scoping review of the literature was conducted and regulated in accordance to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). After abstract and full-text screening, only 15 articles met our inclusion criteria and passed the quality assessment procedure. Seven included studies determined prevalence of pneumonia; the overall pooled prevalence was around 30%. Furthermore, 12 research articles investigated risk factors related to pneumonia among Sudanese population. Further research with larger sample sizes targeting risk factors of pneumonia among Sudanese population is needed to be conducted.

Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru: A cluster analysis

OBJECTIVES

To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru.

METHODS

An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance.

RESULTS

Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the "severe" cluster, characterized by older adults and patients with dyspnea or comorbidities (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiologic characteristics according to the cluster to which they belonged.

CONCLUSION

Using cluster analysis, we identified characteristic patterns in each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second COVID-19 wave than the first COVID-19 wave.

Structural equation modelling of COVID-19 knowledge and attitude as determinants of preventive practices among university students in Ghana

Coronavirus disease (COVID-19) has distorted the economic development activities of many countries across continents. This undesirable tragedy has highly affected the educational system, which majorly contributes to the wellbeing of an individual and the economy as a whole. The study aims to explore the determinants of COVID-19 preventive practices among students considering their knowledge about COVID-19 and attitudes toward the disease. The data for the study were collected through an online questionnaire survey involving university students. The relationship between students’ knowledge, attitude and their preventive practices towards COVID-19 were investigated using structural equation modelling. The results indicated that most students demonstrated substantial knowledge on COVID-19, moderate to strongly agree attitude towards COVID-19, and sometimes practiced COVID-19 preventive and safety protocols. In addition, a positive relationship between knowledge and attitudes towards COVID-19 was established. Also, a positive effect was established for students’ knowledge about COVID-19 and preventive practices, whilst an adverse effect was confirmed for attitudes towards COVID-19 and practices to avoid spreading the COVID-19 disease.

Clinical Characteristics and Risk Factors Associated with Severe Disease Progression among COVID-19 Patients In Wad Medani Isolation Centers: A Multicenter Retrospective Cross-Sectional Study

Background

Since December 2019, (COVID-19) has had a significant impact on global health systems. Because little is known about the clinical characteristics and risk factors connected with COVID-19 severity in Sudanese patients, it is vital to summarize the clinical characteristics of COVID-19 patients and to investigate the risk factors linked to COVID-19 severity.

Objectives

We aimed to assess the clinical characteristics of COVID-19 patients and look into risk factors associated with COVID-19 severity.

Methods

This is a retrospective cross-sectional study that took place in two Isolation Centers in Wad Medani, Gezira State, Sudan. Four hundred and eighteen patients were included between May 2020 and May 2021. All COVID-19 patients over the age of 18 who were proven COVID-19 positive by nucleic acid testing or had characteristics suggestive of COVID-19 on a chest CT scan and had a complete medical record in the study period were included.

Results

The participants in this study were 418 confirmed COVID-19 cases with a median age of 66.313 years. There were 279 men (66.7%) among the patients. The most prevalent comorbidities were hypertension (n = 195; 46.7%) and diabetes (n = 187; 44.7%). Fever (n = 303; 72.5%), cough (n = 278; 66.5%), and dyspnea (n = 256; 61.2%) were the most prevalent symptoms at the onset of COVID-19. The overall mortality rate (n = 148) was 35.4%. Patients with severe illness had a mortality rate of 42.3% (n = 118). Older age, anemia, neutrophilia, and lymphocytopenia, as well as higher glucose, HbA1c, and creatinine levels, were all linked to severe COVID-19, according to the chi-square test and analysis of variance analysis.

Conclusion

Sixteen variables were found to be associated with COVID-19 severity. These patients are more prone to go through a serious infection and as a result have a greater death rate than those who do not have these characteristics.