Copywriters' preference evaluation on online copywriting course attributes during the COVID-19 pandemic.

Copywriting online course has become a famous online training over the past years and the reliance on online courses increased even during the COVID-19 pandemic. In recent years, online courses have become a popular training platform, especially for copywriting courses. The demand for online courses increased during the COVID-19 pandemic, prompting the need to optimize the learning experience of an online course's target audience. This study aimed to determine the combination of online course attributes most preferred by Filipino copywriters such as course style, payment method, course delivery, module duration, and course type. 292 Filipino copywriters from a leading Philippine-based copywriting group voluntarily participated in this study and answered an online questionnaire quantitative survey which was distributed using the purposive sampling method. Conjoint Analysis with an orthogonal design revealed that copywriters consider the course style attribute as the most important (46.007%), followed by payment method (18.236%), and course delivery (15.435%). Module duration (10.489%) and while the course type (9.833%) were was the least considered attribute of an online course. The result shows that Filipino copywriters prefer an intermediate-level video course on a Facebook group that lasts 1 to 3 hours per module and is paid per course for a total utility score of 0.281, while the least preferred combination was a beginner-level audiobook course that lasts less than 30 minutes per module, delivered via email, and paid per module, for a total utility score of -0.281. This study is the first study that analyzed the copywriters' preference for online copywriting course attributes during the COVID-19 pandemic. The findings of this study are beneficial to online course creators who are targeting copywriters. Finally, the result of this study can be expanded further to other online courses worldwide.

Spatiotemporal models of dengue epidemiology in the Philippines: Integrating remote sensing and interpretable machine learning.

Previous dengue epidemiological analyses have been limited in spatiotemporal extent or covariate dimensions, the latter neglecting the multifactorial nature of dengue. These constraints, caused by rigid and traditional statistical tools which collapse amidst 'Big Data', prompt interpretable machine-learning (iML) approaches. Predicting dengue incidence and mortality in the Philippines, a data-limited yet high-burden country, the mlr3 universe of R packages was used to build and optimize ML models based on remotely sensed provincial and dekadal 3 NDVI and 9 rainfall features from 2016 to 2020. Between two tasks, models differ across four random forest-based learners and two clustering strategies. Among 16 candidates, rfsrc-year-case and ranger-year-death significantly perform best for predicting dengue incidence and mortality, respectively. Therefore, temporal clustering yields the best models, reflective of dengue seasonality. The two best models were subjected to tripartite global exploratory model analyses, which encompass model-agnostic post-hoc methods such as Permutation Feature Importance (PFI) and Accumulated Local Effects (ALE). PFI reveals that the models differ in their important explanatory aspect, rainfall for rfsrc-year-case and NDVI for ranger-year-death, among which long-term average (lta) features are most relevant. Trend-wise, ALE reveals that average incidence predictions are positively associated with 'Rain.lta', reflective of dengue cases peaking during the wet season. In contrast, those for mortality are negatively associated with 'NDVI.lta', reflective of urban spaces driving dengue-related deaths. By technologically addressing the challenges of the human-animal-ecosystem interface, this study adheres to the One Digital Health paradigm operationalized under Sustainable Development Goals (SDGs). Leveraging data digitization and predictive modeling for epidemiological research paves SDG 3, which prioritizes holistic health and well-being.

Sarcopenia Among Older People in the Philippines: A Scoping Review.

Aims: This review aimed to identify and map the evidence about sarcopenia among older Filipinos. Methods: Studies about sarcopenia among Filipinos aged 60 and above were included. All studies regardless of type, setting, language, and timeframe were reviewed. The Cochrane Library, Cumulative Index of Nursing and Allied Health, Embase, PubMed, and Health Research and Development Information Network were searched. The study was conducted per an a priori protocol and utilized the Joanna Briggs Institute guidance for scoping reviews. Results: From the 87 records identified, 20 studies published from 2013 to 2023 were eligible (≥ 5424 participants). The studies were varied; 11 cross-sectional, 2 conference lectures, 2 consensus reports, 1 meta-analysis, cohort study, case series, posthoc analysis, and continuing education. As to setting, 11 studies were conducted in the hospital and 4 in the community. On the level of prevention, 5 studies addressed the primary level, 10 studies secondary, and 2 studies both tertiary and secondary. The studies focused on: sarcopenia in a specific group (13 studies), consensus (4 studies), and education (3 studies). Conclusions: Sarcopenia studies among older Filipinos were limited. Most were hospital-based and involved patients with comorbidities. Some studies used sarcopenia assessment guidelines with Filipino normative references. Sarcopenia impacts the overall well-being of older Filipinos; hence more studies and health promotion programs are necessary.

Estimating sectoral COVID-19 economic losses in the Philippines using nighttime light and electricity consumption data.

Introduction: Economic loss estimation is critical for policymakers to craft policies that balance economic and health concerns during pandemic emergencies. However, this task is time-consuming and resource-intensive, posing challenges during emergencies. Method: To address this, we proposed using electricity consumption (EC) and nighttime lights (NTL) datasets to estimate the total, commercial, and industrial economic losses from COVID-19 lockdowns in the Philippines. Regression models were employed to establish the relationship of GDP with EC and NTL. Then, models using basic statistics and weather data were developed to estimate the counterfactual EC and NTL, from which counterfactual GDP was derived. The difference between the actual and the counterfactual GDP from 2020 to 2021 yielded economic loss. Results: This paper highlights three findings. First, the regression model results established that models based on EC (adj-R2 ≥ 0.978) were better at explaining GDP than models using NTL (adj-R2 ≥ 0.663); however, combining both EC and NTL improved the prediction (adj-R2 ≥ 0.979). Second, counterfactual EC and NTL could be estimated using models based on statistics and weather data explaining more than 81% of the pre-pandemic values. Last, the estimated total loss amounted to 2.9 trillion PhP in 2020 and 3.2 trillion PhP in 2021. More than two-thirds of the losses were in the commercial sector as it responded to both policies and the COVID-19 case surge. In contrast, the industrial sector was affected primarily by the lockdown implementation. Discussion: This method allowed monitoring of economic losses resulting from long-term and large-scale hazards such as the COVID-19 pandemic. These findings can serve as empirical evidence for advocating targeted strategies that balance public health and the economy during pandemic scenarios.

Association between occupational noise exposure level and pure-tone audiometry abnormalities among Metropolitan Manila Development Authority employees: A cross-sectional study.

Traffic enforcers are exposed to various occupational health and safety hazards, including noise pollution, which may lead to occupational hearing loss. This cross-sectional study aimed to estimate the prevalence of hearing loss and to assess the relationship between occupational noise exposure level (ONEL) and abnormalities in air conduction thresholds among Metropolitan Manila Development Authority (MMDA) employees along Epifanio delos Santos Avenue, Philippines. Eight-hour ONELs were measured among 108 participants working with greater than 5 years of service. Participants had hearing evaluations using pure tone audiometry (PTA) to calculate the prevalence of hearing loss. Generalized linear models with a Poisson distribution were fitted to estimate the association between ONEL and audiologic abnormalities, controlling for confounding factors. Approximately 16% of employees had hearing loss. The prevalence of hearing loss was higher with ONEL exposures greater than 85 A-weighted decibels (dBA), with traffic enforcers exposed to higher ONELs than office workers. ONELs greater than 85 dBA were related to audiologic abnormalities at different frequencies in PTA. The prevalence of audiologic abnormalities at 4000 Hz and 6000 Hz was 48% higher (adjusted prevalence ratio [aPR], 1.48; 95% CI, 1.12-1.96) and 25% higher (aPR, 1.25; 95% CI, 1.00-1.55), respectively, among participants with ONELs greater than 85 dBA than with ONELs less than or equal to 85 dBA. Participants exposed to ONELs greater than 85 dBA, more likely traffic enforcers, may have increased risk of audiologic abnormalities. Regular ONEL monitoring is warranted for occupational risk assessment of traffic enforcers. A hearing conservation program may need to be considered for this population. Additional studies are needed to determine trends in hearing deterioration among traffic enforcers.

Association between lead and circulating markers of inflammation among traffic enforcers in Metro Manila, Philippines: the MMDA traffic enforcer's health study.

PURPOSE: Several epidemiological studies have linked lead (Pb) exposure to induced oxidative stress and the promotion of inflammatory response. We performed a within-subjects study (repeated measures study) to evaluate the relationship between the concentration of blood lead (B-Pb) and toenail lead (T-Pb) and circulating markers of inflammation. METHODS: We evaluated the associations between B-Pb concentrations and T-Pb concentrations and circulating markers of inflammation, soluble intracellular adhesion molecule-1 (s-ICAM-1), soluble vascular adhesion molecule-1 (s-VCAM-1), and high-sensitivity C-reactive protein (hs-CRP) on 158 traffic enforcers from the Metropolitan Manila Development Authority (MMDA) traffic enforcer's health study. Linear mixed-effects models with random subject-specific intercepts were fitted to estimate the association between B-Pb and T-Pb exposure and circulating markers of inflammation, adjusting for confounding factors. RESULTS: Traffic enforcers were middle-aged men (89.4%) with a mean age (± SD) of 37.1 years ± 8.9 years and had a total of 293 valid markers of inflammation measurements. B-Pb concentration was related to increased hs-CRP levels. A 10% increase in B-Pb was associated with a 5.7% increase in hs-CRP level [95% confidence interval (95% CI): 1.3-10.1]. However, B-Pb was not associated with s-ICAM-1 and s-VCAM-1. Furthermore, no associations were observed between T-Pb and all the circulating markers of inflammation. CONCLUSIONS: Low-level B-Pb may increase hs-CRP among traffic enforcers. Moreover, the study suggests that Pb via the oxidative and inflammation pathways may have an essential role in the development of cardiovascular disease. Furthermore, MMDA and the Department of Labor and Employment can use our study's findings as evidence to conduct routine screening of blood heavy metals, especially Pb, among MMDA and other traffic enforcers as part of their yearly medical examination.

Integrating COVID-19 Vaccination in Primary Care Service Delivery: Insights From Implementation Research in the Philippines.

BACKGROUND: In 2019, the Philippines enacted a universal health coverage law that aimed to establish an integrated health system centered around robust primary care as a core strategy of its health system reform agenda. Although the COVID-19 pandemic disrupted initial progress in the reform process, it also presented an opportunity to pilot interventions to demonstrate integration in various ways. METHODS: We conducted a participatory implementation research study to integrate selected public health interventions into the implementation of the primary care benefit package funded by public health insurance. The study was conducted from October 2022 to April 2023 in the Province of Iloilo, Philippines. Entry points within the primary care service delivery process were identified, and interventions related to COVID-19 vaccination and family planning were implemented and monitored. We used the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework to organize the results and present the analysis. RESULTS: The intervention showed substantial improvement across the 5 dimensions of the RE-AIM framework, including enhanced access to health care services, as indicated by improvements in primary care patient registration, family planning services, and COVID-19 vaccination processes, as well as an increase in registrations and first patient encounters. These improvements corresponded to sustained primary care facility participation throughout the study period. Additionally, emergent factors that either impeded or facilitated the integration process were identified, providing insights for effectively integrating COVID-19 vaccination within the primary care health system. CONCLUSION: Our study provides evidence of the feasibility of integrating public health interventions into primary care settings. It highlights the potential of using existing primary care service delivery and financing mechanisms as entry points for integration. However, further iteration of the model is required to identify specific conditions for success that can be applied in other contexts and settings.

Detection of SARS-CoV-2 and Omicron variant RNA in wastewater samples from Manila, Philippines.

Manila, a highly urbanized city, is listed as one of the top cities with the highest recorded number of coronavirus disease 2019 (COVID-19) cases in the Philippines. This study aimed to detect and quantify the RNA of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the Omicron variant in 51 wastewater samples collected from three locations in Manila, namely Estero de Santa Clara, Estero de Pandacan, which are open drainages, and a sewage treatment plant (STP) at De La Salle University-Manila, between July 2022 and February 2023. Using one-step reverse transcription-quantitative polymerase chain reaction, SARS-CoV-2 and Omicron variant RNA were detected in 78 % (40/51; 4.9 ± 0.5 log10 copies/L) and 60 % (24/40; 4.4 ± 0.3 log10 copies/L) of wastewater samples collected from all sampling sites, respectively. SARS-CoV-2 RNA was detected frequently at Estero de Santa Clara (88 %, 15/17); its highest concentration was at the STP (6.3 log10 copies/L). The Omicron variant RNA was present in the samples collected (4.4 ± 0.3 log10 copies/L) from all sampling sites, with the highest concentration at the STP (4.9 log10 copies/L). Regardless of normalization, using concentrations of pepper mild mottle virus RNA, SARS-CoV-2 RNA concentrations exhibited the highest positive correlation with COVID-19 reported cases in Manila 5 days after the clinical report. These findings revealed that wastewater-based epidemiology may aid in identifying and monitoring of the presence of pathogens in open drainages and STPs in the Philippines. This paper provides the first documentation on SARS-CoV-2 and the Omicron variant in wastewater from Manila.

Comparing disease specific catastrophic cost estimates using longitudinal and cross-sectional designs: The example of tuberculosis.

BACKGROUND: There has been an increasing interest in assessing disease-specific catastrophic costs incurred by affected households as part of economic evaluations and to inform joint social/health policies for vulnerable groups. Although the longitudinal study design is the gold standard for estimating disease-specific household costs, many assessments are implemented with a cross-sectional design for pragmatic reasons. We aimed at identifying the potential biases of a cross-sectional design for estimating household cost, using the example of tuberculosis (TB), and exploring optimal approaches for sampling and interpolating cross-sectional cost data to estimate household costs. METHODS: Data on patient incurred costs, household income and coping strategies were collected from TB patients in Negros Occidental and Cebu in the Philippines between November 2018 and October 2020. The data collection tools were developed by adapting WHO Tuberculosis Patient Cost Surveys: A Handbook into a longitudinal study design. TB-specific catastrophic cost estimates were compared between longitudinal and simulated cross-sectional designs using different random samples from different times points in treatment (intensive and continuation phases). RESULTS: A total of 530 adult TB patients were enrolled upon TB diagnosis in this study. Using the longitudinal design, the catastrophic cost estimate for TB-affected households was 69 % using the output approach. The catastrophic cost estimates with the simulated cross-sectional design were affected by the reduction and recovery in household income during the episode of TB care and ranged from 40 to 55 %. CONCLUSION: Using longitudinally collected costs incurred by TB-affected households, we illustrated the potential limitations and implications of estimating household costs using a cross-sectional design. Not capturing changes in household income at multiple time points during the episode of the disease and estimating from inappropriate samples may result in biases that underestimates catastrophic cost.

Current status of diabetes mellitus care and management in the Philippines.

AIMS: In this paper, we discuss the existing data on the burden of diabetes in the Philippines and present the status of management, prevention, and control of diabetes in the country. METHODS: A review of literature was conducted to synthesize the status of diabetes mellitus in the Philippines. RESULTS: An estimated 4.3 million Filipinos were diagnosed with diabetes, while 2.8 million remained undiagnosed in 2021. Diabetic retinopathy is a top cause of preventable blindness in Region 3, Philippines. Diabetic nephropathy contributes to 38% of renal disease cases in the Philippines. The 2021 Philippine Guidelines on Periodic Health Examination (PhEX) advocate for the utilization of fasting blood sugar (FBS) as a screening measure for Type 2 Diabetes Mellitus (T2DM) in healthy adults aged 40 years and older or in those with specified risk factors. The alternative option of hemoglobin A1c is (HbA1c) deemed appropriate but comes with a conditional recommendation due to its uneven accessibility across different regions of the country. Treatment guidelines align between the Philippines and the US. Initial medical nutrition therapy involves healthy habits, progressing to pharmacologic treatment if necessary. Financial constraints, seen in limited insurance coverage and high out-of-pocket costs, impede care, amplifying disease impact. The complex diabetes care, encompassing pharmacotherapy, nutrition, exercise, and monitoring, faced challenges during COVID-19 quarantines. CONCLUSION: In conclusion, the paper outlines diabetes care principles-screening, diagnostics, and multidisciplinary care-alongside economic implications. Local and national initiatives are discussed to mitigate diabetes trends and reduce its burden in the Philippines.

Detecting the impacts of humidity, rainfall, temperature, and season on chikungunya, dengue and Zika viruses in Aedes albopictus mosquitoes from selected sites in Cebu city, Philippines.

BACKGROUND: Aedes albopictus is the secondary vector for dengue virus (DENV) in the Philippines, and also harbors chikungunya (CHIKV) and Zika (ZIKV) viruses. This study aimed to determine the minimum infection rates (MIRs) of CHIKV, DENV serotypes, and ZIKV in Ae. albopictus collected from selected two-site categories by altitude (highland [H] and lowland [L] sites) in Cebu city, Philippines during the wet (WS) and dry seasons (DS) of 2021-2022, and to explore the relationships between these arboviral MIRs and the local weather. METHODS: The viral RNA extracts in pooled and reared adult Ae. albopictus collected during the DS and WS from two-site categories were subjected to RT-PCR to amplify and detect gene loci specific for CHIKV, DENV-1 to DENV-4, and ZIKV and analyzed with the weather data. RESULTS: The range of CHIKV MIRs was higher in the WS (13.61-107.38 infected individuals per 1,000 mosquitoes) than in the DS (13.22-44.12), but was similar between the two-site categories. Rainfall (RF) influenced the CHIKV MIR. The MIR ranges of both DENV-2 (WS: H = 0, L = 0; DS: H = 0-5.92; L = 0-2.6) and DENV-4 (WS: H = 0, L = 0-2.90; DS: H = 2.96-6.13, L = 0-15.63) differed by season but not between the two-site categories. Relative humidity (RH), RF, and temperature did not influence DENVs' MIRs. The MIR range of ZIKV was similar in both seasons (WS: 11.36-40.27; DS: 0-46.15) and two-site categories (H = 0-90.91, L = 0-55.56). RH and temperature influenced ZIKV MIR. CONCLUSIONS: RF influenced CHIKV MIR in Ae. albopictus, whereas RH and temperature influenced that of ZIKV. Season influenced the MIRs of CHIKV and DENVs but not in ZIKV. Ae. albopictus were co-infected with CHIKV, DENVs, and ZIKV in both highland and lowland sites in Cebu city. Recommendations include all-year-round implementation of the Philippine Department of Health's  4S enhanced strategy and installation of water pipelines in rural highlands for vector and disease control. Our findings are relevant to protect public health in the tropics in this climate change.

The Impact of Prenatal Alcohol Exposure on Longitudinal Growth, Nutritional Status, and Insulin-Like Growth Factor 1 in Early Childhood in Leyte, the Philippines.

OBJECTIVE: To assess the impact and potential mechanistic pathways of prenatal alcohol exposure (PAE) on longitudinal growth and nutritional status in early childhood. STUDY DESIGN: A cohort of 296 mother-infant dyads (32% with PAE vs 68% unexposed) were recruited in Leyte, the Philippines, and followed from early gestation through 24 months of age. PAE was assessed using serum phosphatidylethanol (PEth) captured twice prenatally and in cord blood and supplemented with self-reported alcohol consumption. Linear mixed models were used to examine longitudinal effects of PAE on growth from birth through 2 years including key potential mediating factors (placental histopathology, and infant serum leptin and Insulin-like Growth Factor 1 [IGF-1]). RESULTS: After adjusting for potential confounders, we found that PAE was significantly associated with a delayed blunting of linear growth trajectories (height-for-age z-score, body length) and weight (weight-for-age z-score, body weight) that manifested between 4 and 6 months and continued through 12-24 months. PAE was also associated with a decreased rate of mid-upper-arm circumference growth from birth to 12 months, and a lower mean IGF-1 levels at birth and 6 months. CONCLUSION: This study demonstrates a delayed impact of PAE on growth that manifested around 6 months of age, underscoring the importance of routine clinical monitoring in early childhood. Furthermore, the findings supported prior animal model findings that suggest a mechanistic role for IGF-1 in PAE-induced growth delay.

Falls among community-dwelling older adults in the Philippines and Viet Nam: Results from nationally representative samples.

Falls are a significant public health issue globally. However, studies with nationally representative samples have yet to be done to understand falls among older adults in the Philippines and Viet Nam. Using a biopsychosocial perspective, this study investigated the prevalence of falls and their associated factors among community-dwelling older adults in these countries. Cross-sectional data were drawn from the baseline survey of the Longitudinal Study of Ageing and Health in the Philippines (2018, N = 4,606) and the Longitudinal Study of Ageing and Health in Viet Nam (2018, N = 4,378). The outcome variables were any falls in the past year. Independent variables included sociodemographic factors (age, sex, education, living in urban areas, living alone, social network size), biophysical factors (vision, chronic conditions, functional impairments, pain locations, insomnia symptoms, sleep medications, grip strength, walking speed, postural control), and psychological factors (depressive symptoms). Descriptive analysis and logistic regression analysis were used to analyze the data. The results showed that 17.7 % and 7.3 % of older Filipino and Vietnamese adults fell in the year before the study. Significant factors associated with the odds of any falls among Filipino older adults were having a higher level of education, living in urban areas, living with others, experiencing more functional impairments, reporting one or more pain locations, and having poor grip strength. In Viet Nam, having more chronic conditions, experiencing more functional impairments, and reporting two or more pain locations were found to be associated with higher odds of any falls. The population in the Philippines and Viet Nam is aging rapidly. Findings from this study are timely in identifying at-risk individuals and preparing for effective fall prevention strategies.

Current Status and Challenges in Dementia Care in the Philippines: A Scoping Review.

Background: Dementia prevalence is increasing in low- and middle-income countries such as the Philippines. Objective: This study aimed to give an overview of dementia care in the Philippines and to identify gaps in terms of local epidemiology, research, financial coverage, diagnostics, pharmacotherapy, manpower, and caregiver support. Methods: This scoping review was conducted using the Preferred Reporting Items for Systematic reviews and Meta-analysis guidelines extension for scoping reviews. Six international and two local databases, and government and non-government websites were searched. Data published in the English or Filipino language on dementia epidemiology, research, diagnostics, management, manpower, and training were extracted from the earliest indexed record until June 2022. Results: The prevalence of dementia in the Philippines is high and research output on all aspects of dementia is low. Cost is a major barrier as health care coverage is limited, with reliance mainly on out-of-pocket payments, leading to challenges in the proper diagnosis and treatment of dementia. There is a low specialist-to-population ratio, with shortages beyond manpower and training. Conclusions: Gaps in dementia care include limited published local data, high healthcare costs, inadequate health financing, and limited manpower.

Outcomes of patients with COVID-19 and coronary artery disease and heart failure: findings from the Philippine CORONA study.

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) and coronary artery disease (CAD) or heart failure (HF) are more likely to have poor outcomes. This study aimed to determine the characteristics and outcomes of COVID-19 patients with CAD/HF across various institutions in the Philippines. METHODS: We utilized the data from the Philippine CORONA Study and compared the outcomes of admitted COVID-19 patients with CAD/HF versus those without. The Student's t test, Mann-Whitney U test, binary logistic regression and multivariate regression analysis were utilized. Odds ratios (OR) and Kaplan-Meier curves were generated. RESULTS: We included a total of 512 patients with COVID-19 had CAD/HF and 10,369 were without. CAD/HF was significantly associated with COVID severity, all-cause mortality, death from cardiac causes, respiratory failure, and prolonged hospitalization. After adjusting for confounders, the presence of CAD/HF was still associated with death from a cardiac cause (OR 2.22, 95% CI 1.49-3.3, p < 0.01). CONCLUSIONS: The presence of CAD or HF was significantly associated with severity of COVID disease, all-cause mortality, death from cardiac causes, respiratory failure, and prolonged hospitalization.