OBJECTIVES

This study investigates the impact of the COVID-19 pandemic on social service accessibility for persons with disabilities in the Philippines, with a focus on disability related opportunity costs and out-of-pocket expenses.

A mixed-methods approach was employed, combining both qualitative and quantitative data collection techniques. Focus group discussions (FGDs) and interviews were conducted to gather qualitative insights, while quantitative analysis, utilizing one-sample t-tests, was used to assess the impact of the pandemic on key areas such as income, access to essential goods, employment, healthcare, mental health, and social support.

Using a mixed-methods approach, data were collected from 141 participants. Qualitative insights highlighted that 89% of participants reported negative effects on daily living conditions due to rising costs and limited access to necessities. Parents of children with disabilities indicated that early childhood care and development services were adversely affected by school closures, and transitioning to online learning posed significant barriers, with 62% lacking access to training and resources. While many participants had access to healthcare, lockdowns exacerbated disability-related opportunity costs, complicating access to routine care. Quantitative data findings were analyzed through one-sample t-tests to assess the impact of COVID-19 on various aspects of daily life, including income, access to essential goods, employment status, healthcare access, mental health, and social support. Findings revealed significant challenges, with an average income decrease rating of 7.39, reflecting substantial financial loss. Ratings for access to essential goods and healthcare services also averaged 7.39, while employment status was rated at 7.82, indicating instability. Mental health impacts averaged 7.13, and social support was rated at 7.42, underscoring inadequacies during this crisis.

Overall, the study emphasizes the urgent need for targeted interventions and inclusive responses in emergency planning to mitigate the pandemic's disproportionate impact on this marginalized group in the Philippines.

BACKGROUND

Vaccine hesitancy among senior citizens remains common in many countries. This was significantly observed during the COVID-19 pandemic in Dauis, Bohol, Philippines. However, there is limited research on the factors influencing this hesitancy.

This study aimed to identify the determinants associated with COVID-19 vaccine hesitancy among senior citizens in the municipality of Dauis, Bohol.

This case-control study employed a modified survey questionnaire adapted from relevant literatures. A total of 497 registered senior citizens participated, of whom 331 were vaccinated against COVID-19 and 166 were unvaccinated. The study determined the socio-demographic factors, health status, and perceptions of COVID-19 vaccine safety. Bivariate and multivariable logistic regression analyses were used to identify factors associated with vaccine hesitancy.

The study found that respondents aged 84 and older were significantly more likely to exhibit vaccine hesitancy (p = 0.018, OR = 7.817). In contrast, factors associated with a reduced likelihood of hesitancy included having tertiary education (p = 0.012, OR = 0.239), a low income (p = 0.042, OR = 0.138), receiving an annual flu vaccine (p = 0.020, OR = 0.328), and perceiving the COVID-19 vaccine as safe (p = 0.000, OR = 0.032).

Age is a significant determinant of COVID-19 vaccine hesitancy. Educational attainment, monthly income, receipt of annual influenza vaccine and perception on vaccine safety were found to be influential determinants. These findings offer valuable insights for evidence-based interventions to enhance vaccine acceptance to this vulnerable population.

BACKGROUND

The COVID-19 pandemic significantly impacted global health, especially among older adults at higher risk for severe illness. Despite the benefits of vaccination, booster vaccine hesitancy posed a barrier to optimal protection in the elderly population.

This study aimed to identify factors associated with COVID-19 booster vaccine hesitancy among geriatric patients at the Family Medicine Outpatient Clinic of Region 1 Medical Center.

An analytic, cross-sectional study was conducted with 183 geriatric patients aged 60 and above who had received the primary COVID-19 vaccine series. Data were collected using a 25-item questionnaire addressing sociodemographic information, medical history, COVID-19 knowledge, and vaccine attitudes. Statistical analyses, including chi-square tests and logistic regression, identified factors influencing booster vaccine hesitancy.

The majority of participants were between the ages of 60-69 (66.7%, n=122) and predominantly female (69.4%, n=127). High hesitancy rates were notably observed among elderly females (75.6%), individuals with lower educational attainment (79.7%), and single individuals (93.3%). Other significant factors included hypertension (76.5%) and the absence of prior influenza (81.5%) or pneumococcal (75.9%) vaccinations.

These findings highlight the critical need for targeted educational efforts to mitigate COVID-19 vaccine hesitancy within specific subgroups, particularly elderly females, those with lower education levels, and individuals with certain health conditions. By implementing personalized outreach and emphasizing the advantages of vaccination, stakeholders can enhance vaccine uptake and improve health outcomes for this vulnerable segment of the population.

Fangcang shelter hospitals are modular, rapidly deployable facilities that play a vital role in pandemic response by providing centralized isolation and basic medical care for large patient populations. Artificial intelligence (AI) has the potential to transform Fangcang shelter hospitals into intelligent, responsive systems that are capable of significantly improving emergency preparedness, operational efficiency, and patient outcomes. Key application areas include site selection and design optimization, clinical decision support, AI-assisted clinical documentation and patient engagement, intelligent robotics, and operational management. However, realizing AI's full potential requires overcoming several challenges, including limited data accessibility, privacy and governance concerns, inadequate algorithmic adaptability in dynamic emergency settings, insufficient transparency and accountability in AI-driven decisions, fragmented system architectures due to proprietary formats, high costs disproportionate to the temporary nature of Fangcang shelter hospitals, and hardware reliability in austere environments. Addressing these challenges demands standardized data-sharing frameworks, development of explainable and robust AI algorithms, clear ethical and legal oversight, interoperable modular system designs, and active collaboration among multidisciplinary stakeholders.
Artificial Intelligence ; Humans ; Emergency Shelter ; China ; Hospitals ; COVID-19

BACKGROUND

The Philippines has been significantly affected by the HIV epidemic in the Asia-Pacific region, with a notable increase in new cases over the past decade. Despite efforts to promote HIV testing, access to treatment, and awareness campaigns, progress has been slow, particularly among youths. Tangere, a market research application, conducted surveys during and after the COVID-19 pandemic to assess HIV knowledge among Filipinos.

This study aimed to evaluate changes in HIV awareness among young Filipinos during and after the COVID-19 pandemic using data collected via Tangere’s surveys. Specifically, it sought to analyze demographic characteristics, sources of HIV information, and knowledge regarding HIV transmission, prevention, and stigma.

Tangere collaborated with the investigators to develop a questionnaire assessing HIV knowledge among young Filipinos. Surveys were conducted during and after the COVID-19 pandemic, targeting subscribers aged 18-35 years, primarily from the National Capital Region and Luzon area. Data analysis involved calculating frequencies and percentages to summarize demographic characteristics and HIV knowledge. An Independent-Samples Proportions procedure was used to compare HIV knowledge during and after the pandemic.

The survey revealed that while respondents generally possessed reasonable knowledge about HIV, there were notable changes in the awareness during and after the pandemic. Social media and television were identified as primary sources of HIV information. Knowledge regarding HIV transmission and prevention increased postpandemic, particularly concerning preventive measures such as pre-exposure prophylaxis (PREP) and motherto-child transmission (MTCT). However, persistent misconceptions and stigma surrounding HIV remained, indicating the need for continued education and advocacy efforts.

The study underscores the importance of utilizing social media platforms for HIV awareness campaigns, especially among youths who are disproportionately affected by the epidemic. Despite improvements in knowledge, the Philippines has yet to achieve global HIV prevention goals. Continued efforts to enhance awareness, particularly regarding recent advancements in HIV prevention and treatment, are essential for curbing the epidemic and improving public health outcomes nationwide.

BACKGROUND

The occurrence of the COVID-19 pandemic resulted in increased risk of developing antimicrobial resistance due to the high utilization of antimicrobial agents. Since antimicrobial utilization is a crucial driver in the development of antimicrobial resistance, the need for antimicrobial use surveillance is crucial in identifying prescription patterns that would help provide proper interventions.

To determine the antibiotic use and prevalence of prescription quality indicators among COVID-19 patients admitted at a tertiary government hospital.

A retrospective cross-sectional survey was conducted to provide data on antibiotic use and the prevalence of prescription quality indicators among COVID-19 patients in a tertiary-level hospital from June 2021 to June 2022.

A total of 342 patient medical records were surveyed. The majority (119, 34.8%) of the patients were in the age group 41-60 years old and there were more male patients (52.34%) than female patients (47.66%). About 88.99% of the patients were considered to have community-acquired COVID-19 infections. Co-morbidities among patients were seen in more than half of the surveyed population (64%). These include hypertension, diabetes mellitus, chronic kidney disease, coronary artery disease, chronic lung disease, and hematologic disorders.

Empiric antibiotic therapy was high at 88.88%, while definitive treatment with confirmed bacterial infection was only at 11.11%. The most frequently prescribed antibiotic therapies are azithromycin (250, 45.9%), ceftriaxone (188, 32.2%), and cefuroxime (58, 9.9%). Patterns of antibiotic use are attributed to the similarities of respiratory bacterial infections with COVID-19 cases.

Prescription quality indicators assessed in the study include documentation of indication for prescriptions, guideline compliance, collection of culture before antibiotic therapy, and stop/review documentation. Out of 583 antibiotic prescriptions, 464 (79.58%) were properly documented with an indication. Non-compliance to guidelines reached 39.11%, while the stop and review date documentation rate was 20.41%. The collection of culture before the start of antibiotic therapy was at 50.2%.

The results from the study highlighted the need for antimicrobial surveillance and stewardship efforts among COVID-19 and other viral infections.

BACKGROUND AND OBJECTIVES

COVID-19 has quickly spread over the world and became an unprecedented burden on health care systems. COVID-19 diagnosis necessitates the use of precise testing methods such as RT-PCR. This method is generally reported as positive or negative, however, studies have shown its semi-quantitative capability through Ct values. This study determined an association that exists between the Ct values, clinical features, and laboratory findings among COVID-19 patients admitted in a tertiary infectious disease hospital in Manila, Philippines. This attempts to further explore the utility of RT-PCR in disease severity classification and diagnosis.

This was an observational retrospective study that utilized a purposive sampling method, wherein patients were selected based on the DOH case definition of confirmed COVID-19, and were stratified according to disease severity. Baseline laboratory data of the patients were gathered from medical records covering the period of June 2021 to January 2022 using a Data Collection Form. Chi-square test was used to measure the degree of association between the groups and categorical variables. Regression Analysis was used to identify predictors for certain variables. SPSS Statistics for Windows, Version 25.0 was utilized for the statistical analysis.

The total WBC, neutrophil, lymphocyte and monocyte counts, serum urea, LDH, CRP and PTT were found to be predictors of COVID-19 severity. There was no significant difference observed between the disease severity and the patient’s clinical outcome. All routine laboratory tests that were taken at baseline (ORF Gene, N-Gene, Hematocrit, White Blood Cells, Neutrophil, Lymphocyte, Monocyte, Platelet Count, Urea, Creatinine, SGPT, SGOT, Na, K, LDH, Ferritin, C Reactive Protein, Procalcitonin, D-Dimer, PT, PTT) were not significant predictors of the clinical outcome. Although WBC, neutrophil, lymphocyte, and monocyte count, urea, LDH, CRP, and PTT were predictors  of disease severity. The study also reported that the odds of having severe to critical disease increases by 20.6% for every one unit increase in neutrophil count, and 17.4% for every one unit increase in lymphocyte count. Among the laboratory parameters, neutrophil count (p=0.010654063) and urea (p= 0.04149874 have direct relationship with the N gene Ct values while Orf gene Ct Values have direct relationship with lymphocyte count (p=0.01269027). Similarly, regression showed that as monocyte count, creatinine levels, and serum ferritin decrease, Ct values increase. Sex was found to not be a significant predictor of disease severity and clinical outcome. There was also no significant difference observed between the disease severity and the patient’s clinical outcome.

The study showed that the Ct values for both ORF and N genes were not significant predictors of both disease severity and clinical outcome. However, ORF gene Ct values have direct relationship with lymphocyte counts while N gene Ct values have direct correlation with neutrophil count and urea levels. Similarly, monocyte, creatinine, and ferritin are negatively correlated with Ct values. It is important to monitor the patient’s laboratory biomarkers in order to determine the proper course of treatment and management for each case.

BACKGROUND AND OBJECTIVE

COVID-19 has been associated with cardiac injury, often detectable through electrocardiographic (ECG) changes. This study seeks to characterize the cardiovascular and electrocardiographic profiles of adult patients diagnosed with COVID-19.

This study included adult patients with confirmed COVID-19 from June 2021 to June 2022. Clinical profiles and 12-lead ECG tracings were obtained from electronic medical records and reviewed independently by three cardiologists. Descriptive analysis was performed to summarize the cardiovascular and electrocardiographic findings in this population.

The study included 998 COVID-19 patients (mean age: 50 years; 53.7% male). The most common comorbidities were hypertension, diabetes, and dyslipidemia. A majority (31.36%) presented with severe COVID-19 infection. The most frequent significant ECG abnormalities observed at admission were sinus tachycardia (22.8%), and atrial fibrillation (11.02%). Additional ischemic findings included ST segment depression (2.91%), T-wave inversion (1.70%), and ST segment elevation (2.71%).

The baseline ECG findings among COVID-19 patients were predominantly normal; however, significant abnormalities were also identified. The most frequent abnormalities included sinus tachycardia, atrial fibrillation, and ischemic changes, all of which may have clinical implications.

OBJECTIVE

This study aimed to determine the psychological impact of the COVID-19 pandemic on university students, categorically focusing on effective coping strategies adopted.

The researcher used a descriptive cross-sectional design and a pseudo-random number sampling method with an inversion technique to randomly select 548 health science students who participated fully out of the sum of 4,140 students from each department. The initial goal was to include 572 students in the sample. This ensured a fair representation of students from the University of Nigeria, Nsukka (UNN). The researcher evaluated these students using the COVID-19 Student Stress Questionnaire and Brief-Cope Scales.

Findings showed that 58.8% of the respondents were females, 34.7% were enrolled in the nursing program, and 59.7% chose to live with their parents. Most of the students experienced moderate stress, with 45.25% and 5.47% experiencing extremely stressful or distressing situations, in terms of relationships and academic life, respectively. There were no significant differences in fear of contagion, regardless of the students' gender. and social isolation between students who lived with and without their parents. In terms of relationships and academic life among the students, there was no significant difference in relation to the demographic characteristics. Results also showed that 26.6% of the students used problem-focused coping “a little bit," and there was no significant difference as to their developmental characteristics for those using problem-focused coping, emotion-focused coping, or avoidant coping. However, the results indicated a greater tendency towards avoidant coping strategies, with no significant differences observed. Students disproportionately adopted problem-focused, emotion-focused, and avoidant coping strategies. Students reported a weakly significant positive correlation between emotionfocused coping and problem-focused coping, and a large negative association between fear of contagion and problem-focused coping strategies. They also reported a slightly positive correlation between relationships, academic life, and social isolation.

The study revealed that most students experience moderate stress, which gradually escalates into extremely stressful situations, particularly in relationships and academics. The researcher found no significant differences in fear of contagion or social isolation. However, avoidant coping was more prevalent compared to problem-focused and emotion-focused strategies. There were weak positive correlations between emotion-focused and problem-focused coping. Policy reform in the health and academic systems will strategically improve students' mental health.

The COVID-19 pandemic has underscored the vital role of vaccination in mitigating widespread morbidity and mortality. Nevertheless, the global vaccination campaign has also brought to light rare but notable immune-mediated adverse events. Vaccination is inherently immune stimulatory, designed to provoke a robust immune response, and in rare instances, this heightened immune activity may unmask or trigger autoimmunity in genetically predisposed individuals. Proposed mechanisms include molecular mimicry, epitope spreading, and bystander activation, all of which can disrupt immune tolerance and initiate autoreactive responses. This case report explores a potential link between COVID-19 vaccination and the onset of dermatomyositis, adding to the growing body of literature examining the rare but important phenomenon of vaccine-associated autoimmunity.