COVID, Volume 5, Issue 12 (December 2025) – 15 articles

This study examines how the explanations about school violence are constructed in Chilean online newspapers after the country—which had the longest period of school closures—returned to in-person classes. During early 2022, several complaints of school violence surged compared to the lockdown years, prompting questions about how the media shaped public interpretations of this rise. Using a content analysis of three Chilean online newspapers (“SoyChile”, “ElMostrador”, and “LUN”), this study reconstructed the Subjective Theories (STs) conveyed in their coverage. All articles (n = 50) published during three strategic periods of the 2022 school year were analyzed to identify explicit and implicit theories about the causes, intervening conditions, and strategies for addressing school violence. The most prevalent ST framed school violence as a structural problem, appearing 27 times. This narrative portrays the phenomenon as both inevitable and beyond the control of key actors, such as caregivers, teachers, school leaders, authorities, and students, ultimately reducing perceived accountability and agency in prevention or intervention efforts. Media discourse tended to legitimize explanations that locate school violence outside the sphere of individual or institutional responsibility. Full article

The COVID-19 pandemic has demonstrated that its effects go far beyond the initial respiratory illness, with many survivors experiencing lasting neurological problems. Some patients develop a condition known as Long COVID, or post-acute sequelae of SARS-CoV-2 infection (PASC), which includes current issues such as reduced cognitive function, chronic headaches, depression, neuropathic pain, and sensory disturbances. These symptoms can severely disrupt daily life and overall well-being. In this narrative review, we provide an overview of current understanding regarding the neurological effects of COVID-19, with a focus on Long COVID. We discuss possible underlying mechanisms, including direct viral invasion of the nervous system, immune-related damage, and vascular complications. We also summarize findings from cohort studies and meta-analyses that explore the causes, symptom patterns, and frequency of these neurological issues. Approximately one-third of people who have had COVID-19 report neurological symptoms, especially those who experienced severe illness or were infected with pre-Omicron variants. Emerging research has identified potential biomarkers such as neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP) that may help in diagnosis. Treatment approaches under investigation include antiviral medications, nutraceuticals, and comprehensive rehabilitation programs. Factors like older age, existing health conditions, and genetic differences in ACE2 and TMPRSS2 genes may affect an individual’s risk. To effectively address these challenges, current research is essential to improve diagnostic methods, develop targeted treatments, and enhance rehabilitation strategies. Ultimately, a coordinated, multidisciplinary effort is crucial to reduce the neurological impact of Long COVID and support better recovery for patients. Full article

Importance: The coronavirus disease 2019 (COVID-19) was the third leading cause of mortality in the United States for three years in a row. The genetic contributions to disease severity remain unclear and many previously identified single nucleotide polymorphisms (SNPs) have not been replicated nor linked with functional significance. Objective: To identify SNPs associated with mortality among hospitalized COVID-19 patients supplemented by expression quantitative trait loci (eQTL) evidence to infer plausible functional mechanisms related to COVID-19 severity. Design: A quality-controlled genome-wide association study (GWAS) supported by robust gene-level omnibus kernel association tests (SKAT-O), functional prediction, and eQTL analyses of the top GWAS signal. Setting: Massachusetts General Hospital (MGH). Participants: 370 adult ICU patients with SARS-CoV-2 infection and acute hypoxemic respiratory failure and floor patients with mild hypoxemia managed with supplemental oxygen consecutively admitted to MGH between March and June 2020 (Surge 1), and January and March 2021 (Surge 2) with baseline clinical characteristics and demographics collected. Exposures: Low-pass genotyped SNPs from whole blood and aggregated SNP-sets of potential disease susceptibility loci with $\pm$500 kb flanking regions. Main Outcomes & Measures: Genome-wide individual SNP associations and SNP-set associations with mortality outcomes from 370 severe COVID-19 cases. Results: After LD pruning (<0.8) and false discovery rate adjustment (<0.05), we identified rs7420371 G>A of the receptor transporter protein 5 (RTP5) gene as the top independent signal significantly associated with 30- and 60-day mortality among severe COVID-19 patients (OR, 2.32; 95% CI, 1.59–3.39; p = 4.92 × 10⁻⁹ and OR, 2.06; 95% CI, 1.43–2.97; p = 5.43 × 10⁻⁸, respectively). SKAT-O analyses on the RTP5 SNP-set showed associations with both mortality outcomes (p = 5.90 × 10⁻⁵ and 6.17 × 10⁻⁵, respectively). eQTL analysis showed rs7420371 A allele significantly upregulated the mRNA expression of RTP5 in 266 cerebellum tissues, in 277 cerebellar hemisphere tissues, and in 270 cerebral cortex samples. Conclusions & Relevance: We discovered a novel, independent, and potentially functional SNP RTP5 rs7420371 G>A to be significantly associated with COVID-19 mortality. The A allele is significantly associated with elevated mRNA expression of RTP5 in the brain, an important protein coding gene that modulates olfactory binding and taste perceptions in response to SARS-CoV-2 infection. Full article

Efforts have been made to develop a case definition for Long COVID, with results differing on whether the case definition should be specific and exclusive, or broad and easily generalizable. Each of these methods has been subject to limitations. As most efforts have focused on symptoms, inclusion criteria have often relied on the binary occurrence of a symptom. The current study uses a more detailed measure that considers the frequency and severity of symptoms in a sample of individuals with Long COVID and matched controls who recovered from acute SARS-CoV-2 infection. Patients were diagnosed with Long COVID in a systematic process involving their completion of quantitative questionnaires, qualitative interviews, a physical examination, and general laboratory testing to rule out other diagnoses. Since samples were comparatively small given the number of symptoms investigated, Leave One Out Cross-Validation (LOOCV) was used to develop LASSO regression models to determine which symptoms best distinguished Long COVID from recovered controls. An ideal threshold for classifying Long COVID based on symptomatology was developed using a receiver operator characteristics (ROC) curve. The model presented in this article identified Long COVID with high accuracy. The importance of smell/taste was lessened in the current study, and gastrointestinal symptoms took on greater prominence in our study. It is possible to achieve high accuracy in differentiating those with Long COVID from those who have recovered. It is important to specify criteria of Long COVID and to measure symptoms comprehensively to identify those with Long COVID. Reliably identifying those who have developed Long COVID will help in the formulation of treatment strategies. Full article

Background: This study aimed to assess whether methylprednisolone treatment, while effective in reducing COVID-19 mortality, increases the risk of intensive-care-unit-acquired respiratory tract infections (RTI-ICU) in critically ill patients. Methods: This was a multicenter prospective cohort study conducted in ten countries across Latin America and Europe. It included patients over 18 years of age with confirmed SARS-CoV-2 infection who required ICU admission. A multivariable logistic regression analysis and propensity score matching (PSM) were performed to determine the association between methylprednisolone treatment and RTI-ICU. Results: A total of 3239 patients were included, of whom 1527 patients (47.1%) were treated with methylprednisolone. Methylprednisolone treatment was associated with a higher risk of developing RTI-ICU (OR = 1.59; 95% CI: 1.33–1.91). Patients with RTI-ICU had a significantly higher average number of days on invasive mechanical ventilation (IMV) (24.6, SD: 15.9 vs. 9.5, SD: 11.7; p < 0.001), longer hospital stays (40 days, SD: 24.9 vs. 24.4 days, SD: 18.7; p < 0.001), and higher ICU mortality (39.2%, 259/660 vs. 29.2%, 754/2579; p < 0.001). Conclusions: Methylprednisolone treatment is associated with an increased risk of RTI-ICU in critically ill patients with COVID-19. RTI-ICU was linked to higher mortality, a greater need for invasive mechanical ventilation, prolonged ICU stay, elevated leukocyte and C-reactive protein levels, and a higher comorbidity burden. However, methylprednisolone may not be the sole factor explaining these differences, as residual confounding related to baseline disease severity and comorbidities could have influenced the outcomes. Full article

SARS-CoV-2, the virus responsible for COVID-19, disrupts human cellular pathways through complex protein–protein interaction, contributing to disease progression. As the virus has evolved, emerging variants have exhibited differences in transmissibility, immune evasion, and pathogenicity, underscoring the need to investigate their distinct molecular interactions with host proteins. In this study, we constructed a comprehensive SARS–CoV–2–human protein–protein interaction network and analyzed the temporal evolution of pathway perturbations across different variants. We employed computational approaches, including network-based clustering and functional enrichment analysis, using our custom-developed Python (v3.13) pipeline, BioEnrichPy, to identify key host pathways perturbed by each SARS-CoV-2 variant. Our analyses revealed that while the early variants predominantly targeted respiratory and inflammatory pathways, later variants such as Delta and Omicron exerted more extensive systemic effects, notably impacting neurological and cardiovascular systems. Comparative analyses uncovered distinct, variant-specific molecular adaptations, underscoring the dynamic and evolving nature of SARS-CoV-2–host interactions. Furthermore, we identified host proteins and pathways that represent potential therapeutic vulnerabilities, which appear to have co-evolved with viral mutations. Full article

Saliva specimens are widely used for coronavirus disease 2019 (COVID-19) testing using RT-qPCR due to their advantages over nasopharyngeal swabs of being non-invasive and self-collectable. However, saliva collection can be time-consuming in individuals with reduced saliva secretion, including those with diabetes, diseases involving salivary glands such as Sjögren’s syndrome, and older adults. In this study, we evaluated the diagnostic performance of mouth rinse specimens, which can be easily collected even from individuals with reduced saliva secretion, as an alternative to saliva for RT-qPCR COVID-19 testing. Among the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive specimens analyzed, 88.2% were derived from patients possessing risk factors associated with reduced salivary secretion, including diabetes, use of medications such as anticholinergics or antihistamines, smoking, and older age. The analysis results of mouth rinse specimens demonstrated 96.7% overall agreement with those of saliva specimens, with a sensitivity of 94.1% and specificity of 100%; however, the viral load in the mouth rinse specimens was lower than that in saliva because of sample dilution. These findings suggest that mouth rinse specimens are a practical, versatile, and reliable alternative specimen for RT-qPCR COVID-19 testing. Full article

Objective: To compare self-reported functioning, disability, and health care-seeking behavior of previously healthy and unhealthy participants after SARS-CoV-2 infection. Design: Cross-sectional design conducted in 2021–2022. Subjects/Patients: Participants 18 years or older were asked to participate in an anonymous survey after acute SARS-CoV-2 infection (at least 28 days passed). Methods: The survey was conducted using an Internet-based questionnaire distributed through Lithuanian websites, including Facebook groups, city/town/district hospitals, and media outlets. Results: The final cohort consisted of 1945 participants, almost 90% being women with higher education and approximately 89% working at the time of survey. The mean age was 43 years. Among them, 53% reported to be healthy before SARS-CoV-2 infection and 5% were hospitalized during acute infection. Individuals with chronic diseases prior to infection rated their health status significantly lower but reported similar functional capacity before infection. After infection, they reported more restricted activities and more often sought health care due to remaining symptoms. In total, 16% of the cohort applied for rehabilitation services and only 7% were accepted, more often those with chronic diseases before infection. Conclusions: Results indicate a small proportion of participants receiving rehabilitation services, more often these with prior chronic diseases. The results increase awareness of rehabilitation needs after infection, particularly for previously unhealthy people. Full article

Background: Women are at increased risk of developing severe morbidity and mortality during pregnancy, childbirth, and the puerperium, especially in developing countries. In Mexico, during 2020, 27.5% of maternal deaths were attributed to COVID-19. The aim of this study was to describe the sociodemographic and clinical characteristics of maternal deaths among patients with and without COVID-19 in the state of Tamaulipas. Materials and Methods: A non-probabilistic sampling approach was used in this observational, cross-sectional, descriptive, retrospective study of obstetric patients. Results: One hundred and six obstetric patient records were evaluated. Eleven patients died directly from COVID-19 complications. The mean age of the population was 29.5 years, with 7.54% suffering from type 2 diabetes mellitus and 5.66% systemic arterial hypertension. Obstetric complications were late surgical puerperium (11.32%), physiological puerperium (9.43%), and obstetric hemorrhage (7.54%). Lung complications were community-acquired pneumonia (20.75%), of which 50% were due to COVID-19 (10.37%) and respiratory distress syndrome (15.09%). Systemic complications were hypovolemic shock (16.98%), septic shock (15.09%), and multiple organ failure (12.26%). Conclusions: Mortality from COVID-19 in obstetric patients was 10.37%, and 89.63% died from gynecological, lung, and systemic complications. Full article

The COVID-19 pandemic initially focused clinical efforts on hospitalized patients. However, as the pandemic progressed, attention shifted to outpatients who often experience milder symptoms yet still contribute to viral transmission. This scoping review aimed to document and evaluate the clinical outcomes assessed in randomized controlled trials (RCTs) involving outpatients with COVID-19, identifying gaps and areas for improvement in trial design. This review followed the PRISMA-ScR guidelines. A comprehensive search of four electronic databases (PubMed, Scopus, Cochrane CENTRAL, and Web of Science) was conducted for RCTs published between December 2019 and December 2023. Studies were included if they involved outpatients with confirmed COVID-19 and reported clinical outcomes. Data were extracted from eligible studies, and outcomes were categorized using the COMET taxonomy. A total of 91 studies were included, representing a wide geographical distribution, with the USA, Iran, and Brazil contributing the most studies. The most frequently investigated treatments included hydroxychloroquine, fluvoxamine, convalescent plasma, and ivermectin. Key outcomes focused on hospitalization rates, symptom resolution, and disease progression. Mortality, although less common in outpatients, was reported in 65 studies, underscoring the importance of outpatient interventions. This review highlights the need for standardized outcome measures in outpatient COVID-19 trials. Full article

Long COVID, a condition marked by persistent symptoms following COVID-19 infection, poses significant challenges in regard to clinical management. While emerging pharmacological treatments have demonstrated limited benefits in isolated studies, clinical experience and the literature suggest that low-dose naltrexone (LDN) may be a promising therapeutic option. Therefore, in this systematic review, we aim to synthesise findings from the available literature and evaluate the overall safety and efficacy of LDN as a potential treatment for long COVID. A literature search was conducted using a combination of key terms—‘COVID’, ‘COVID-19’, ‘SARS-COV-2’, and ‘Naltrexone’— and the following databases: MEDLINE, Web of Science (Clavirate), Embase, Scopus, Cochrane Central Register of Controlled Trials (CENTRAL), and Cumulative Index in Nursing and Allied Health Literature (CINAHL). The methodology is available on the PROSPERO database (CRD42025630362). Screening identified five eligible articles. Four studies were included, but only two provided comparable data suitable for meta-analysis. Meta-analysis demonstrated statistically significant improvements in fatigue, brain fog, and headaches. Preliminary evidence suggests LDN has potential benefits in the treatment of long COVID, particularly with respect to fatigue, brain fog, and headaches, but more robust studies, such as randomised controlled trials, are urgently needed to confirm LDN’s safety and efficacy. Full article

Background: Diagnosing post-COVID syndrome (PCS) in older adults with hypertension is difficult due to heterogeneity and multimorbidity. We aimed to identify factors associated with PCS. Methods: An observational study was conducted from June 2024 to April 2025. Patients aged 60–89 years with arterial hypertension were enrolled; PCS was verified according to the national protocol. Between-group comparisons used standard tests. Multivariable logistic regression with pre-specified clinical predictors estimated independent associations. Results: A total of 291 patients with arterial hypertension were included in the study. Patients were grouped by PCS status (PCS = 101; controls = 190). In multivariable analysis, female sex (OR 3.64; 95% CI 1.22–10.82), younger age (OR 0.93; 95% CI 0.89–0.98), lower systolic blood pressure (SBP) (OR 0.98; 95% CI 0.96–1.00), and rhythm disturbances (OR 2.63; 95% CI 1.07–6.49) were associated with PCS; other predictors were not significant. Model discrimination was moderate (AUC 0.728; 95% CI 0.668–0.787; Brier score 0.193) with positive net benefit across thresholds ~0.10–0.65. Conclusions: In older hypertensive adults, female sex, younger age, lower SBP, and rhythm disturbances indicate higher PCS likelihood, supporting risk-stratified monitoring and management. Full article

The cumulative global incidence of long COVID is around 400 million individuals, yet effective treatment options remain limited. A recent systematic review published in 2025 highlighted promising results for non-invasive brain stimulation in alleviating long COVID symptoms. Given the growing use of repetitive transcranial magnetic stimulation (rTMS) for people with long COVID, a focused meta-analysis on the therapeutic effectiveness of rTMS is warranted. To address this gap, this protocol outlines the planned procedures for a systematic review and meta-analysis. A comprehensive search will be conducted across CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus. Retrieved studies will be managed using Rayyan, with two independent reviewers screening titles and abstracts, followed by full-text review. Data extraction will follow PRISMA and Cochrane guidelines using a standardised form, with dual independent extraction and reconciliation of discrepancies. Risk of bias will be assessed using Cochrane RoB 2.0. Meta-analytical procedures will include calculation of standardised effect sizes (e.g., Hedges’ g), use of random-effects models, and assessment of heterogeneity via I², Cochran’s Q, and tau². Subgroup and moderator analyses will explore variations in rTMS protocols, participant characteristics, and symptom domains. Sensitivity analyses and meta-regression will be conducted where data permit. Results will be visualised using forest and funnel plots, and the GRADE framework will be used to assess the quality of evidence. Full article

Attitudes towards COVID-19 and lived experiences during the pandemic depended greatly on people’s level of education. This study extends a previous analysis of vaccine hesitancy as a function of formal education and examines additional indicators from the COVID-19 Trends and Impacts Survey for the United States during 2021–2022. The monthly values for social and health-related activities and constraints, testing and vaccination decisions, and information-seeking behaviours, as well as trust and beliefs, often varied markedly between education-defined classes. Many indicators present a significant gap between the attitudes and experiences of better-educated groups, represented by college/university graduates and those with post-graduate studies, on the one hand, and less-educated groups, including those with only high school or some college education, on the other hand. These patterns suggest that the academic and professional-managerial classes, which supply the vast majority of societal decision-makers, may be ill-equipped to understand and respect the needs and worries of the working class in an emergency situation such as the COVID-19 pandemic. Given growing concerns about the benefit–harm balance of many government policies, a more inclusive pandemic response could have been achieved by respecting and adopting the common sense, scepticism, and outright opposition of the less-educated groups vis-a-vis restrictions and public health measures. Full article

During the early months of the COVID-19 pandemic, treatment protocols varied substantially among countries and even between hospitals. This study compared the clinical characteristics, management strategies, and outcomes of hospitalized COVID-19 patients treated in tertiary centers in Türkiye and Bosnia and Herzegovina. We retrospectively analyzed 1338 adults hospitalized with laboratory-confirmed SARS-CoV-2 infection: 657 patients in Tuzla (Bosnia and Herzegovina, June–December 2020) and 681 in İstanbul (Turkiye, April–May 2020). Demographic, clinical, and laboratory data, treatment details (including favipiravir use), need for invasive or non-invasive mechanical ventilation, and in-hospital mortality were extracted from medical records. Patients in Bosnia and Herzegovina were older (61.6 ± 14.4 vs. 56.9 ± 15.8 years; p < 0.001) and had longer hospital stays (9.0 ± 5.5 vs. 7.7 ± 6.1 days; p < 0.001). In the Bosnian cohort, leukocyte, neutrophil, platelet, ferritin, CRP, troponin, creatinine, AST, and ALT levels were significantly higher, whereas hemoglobin and D-dimer levels were lower. The need for ventilatory support was greater in Bosnia and Herzegovina (15.1% vs. 12.2%, p < 0.001), and overall mortality was higher (25.7% vs. 9.3%, p < 0.001). No mortality difference was observed between patients treated and not treated with favipiravir. Despite similar inclusion criteria, patients in Bosnia and Herzegovina exhibited more severe disease, greater organ involvement, and higher mortality than those in Turkiye. Favipiravir use did not influence survival. Inter-country comparisons highlight how differing patient profiles and treatment protocols may impact COVID-19 outcomes; however, interpretation should consider that the two centers contributed data from different phases of the 2020 pandemic, and that country-level differences in circulating variants, healthcare capacity, hospital strain, and evolving clinical guidelines may also have influenced the observed patterns. Full article