Effect of COVID-19 on patients health-seeking behaviour in Zulfi City

Introduction: During the ongoing COVID-19 pandemic, all perspectives of life were affected by the situation, and as a result, all health services worldwide were overwhelmed, which led to the exhaustion of hospital beds and intensive care units, workforce and resources. This research was done to determine the health-seeking behaviour during the COVID pandemic COVID-19 in the Al Zulfi area and its relation to the monthly number of patient visits to primary health centre before and after the pandemic and the roles and regulations for health-care services. Materials and Methods: This was an observational, cross-sectional study to study the effect of the COVID-19 pandemic on patients' health-seeking behaviour in Zulfi city. Results: Results were obtained from 567 participants;the finding was a decline in the number of patients visiting the health facilities by 65.6% compared in 2019. There were more declines in males than in females (18.5% vs. 15.9%, respectively). Conclusion: Despite the strong impact of COVID-19 on healthcare, the Kingdom of Saudi Arabia is one of the strongest countries in facing this pandemic, providing the best care, educating society and minimizing losses. Under these circumstances, patients' visits to health centres in Zulfi decreased, complications appeared for some patients who rescheduled their appointments, healthcare became electronic, and the patients were satisfied with those services. [ FROM AUTHOR]

Prediction and Classification of COVID-19 Admissions to Intensive Care Units (ICU) Using Weighted Radial Kernel SVM Coupled with Recursive Feature Elimination (RFE).

Healthcare systems have been under immense pressure since the beginning of the COVID-19 pandemic; hence, studies on using machine learning (ML) methods for classifying ICU admissions and resource allocation are urgently needed. We investigated whether ML can propose a useful classification model for predicting the ICU admissions of COVID-19 patients. In this retrospective study, the clinical characteristics and laboratory findings of 100 patients with laboratory-confirmed COVID-19 tests were retrieved between May 2020 and January 2021. Based on patients' demographic and clinical data, we analyzed the capability of the proposed weighted radial kernel support vector machine (SVM), coupled with (RFE). The proposed method is compared with other reference methods such as linear discriminant analysis (LDA) and kernel-based SVM variants including the linear, polynomial, and radial kernels coupled with REF for predicting ICU admissions of COVID-19 patients. An initial performance assessment indicated that the SVM with weighted radial kernels coupled with REF outperformed the other classification methods in discriminating between ICU and non-ICU admissions in COVID-19 patients. Furthermore, applying the Recursive Feature Elimination (RFE) with weighted radial kernel SVM identified a significant set of variables that can predict and statistically distinguish ICU from non-ICU COVID-19 patients. The patients' weight, PCR Ct Value, CCL19, INF-ß, BLC, INR, PT, PTT, CKMB, HB, platelets, RBC, urea, creatinine and albumin results were found to be the significant predicting features. We believe that weighted radial kernel SVM can be used as an assisting ML approach to guide hospital decision makers in resource allocation and mobilization between intensive care and isolation units. We model the data retrospectively on a selected subset of patient-derived variables based on previous knowledge of ICU admission and this needs to be trained in order to forecast prospectively.

Hesitancy in COVID-19 vaccine uptake and its associated factors among the general adult population: a cross-sectional study in six Southeast Asian countries.

BACKGROUND: Vaccines are effective and reliable public health interventions against viral outbreaks and pandemics. However, hesitancy regarding the Coronavirus disease (COVID-19) vaccine is evident worldwide. Therefore, understanding vaccination-related behavior is critical in expanding the vaccine coverage to flatten the infection curve. This study explores the public perception regarding COVID-19 vaccination and identifies factors associated with vaccine hesitancy among the general adult populations in six Southeast Asian countries. METHODS: Using a snowball sampling approach, we conducted a descriptive cross-sectional study among 5260 participants in Indonesia, Malaysia, Myanmar, Philippines, Thailand, and Vietnam between February and May 2021. Binary logistic regression analysis with a backward conditional approach was applied to identify factors associated with COVID-19 vaccine hesitancy. RESULTS: Of the total, 50.6% were female, and the median age was 30 years (range: 15-83 years). The majority of the participants believed that vaccination effectively prevents and controls COVID-19 (81.2%), and 84.0% would accept COVID-19 vaccines when they become available. They agreed that health providers' advice (83.0%), vaccination convenience (75.6%), and vaccine costs (62.8%) are essential for people to decide whether to accept COVID-19 vaccines. About half (49.3%) expressed their hesitancy to receive the COVID-19 vaccines. After adjustment for other covariates, COVID-19 vaccine hesitancy was significantly associated with age, residential area, education levels, employment status, and family economic status. Participants from Indonesia, Myanmar, Thailand, and Vietnam were significantly more likely to express hesitancy in receiving COVID-19 vaccines than those from Philippines. CONCLUSIONS: In general, participants in this multi-country study showed their optimistic perception of COVID-19 vaccines' effectiveness and willingness to receive them. However, about half of them still expressed their hesitancy in getting vaccinated. The hesitation was associated with several socioeconomic factors and varied by country. Therefore, COVID-19 vaccination programs should consider these factors essential for increasing vaccine uptake in the populations.

Use of online resources by undergraduate medical students at College of Medicine, Majmaah University, Kingdom of Saudi Arabia.

The current pandemic has revolutionized medical education with a rapid shift to online teaching and learning strategies. The students have coped by turning to the online resources to keep pace with the change. To determine the type and practice of online resources used by undergraduate medical students and compare the use of online resources with gender and GPA. This was a cross-sectional study in which an online self-administered questionnaire was used to evaluate the type and practices of the online resources used by the medical students during the Covid-19 pandemic. Complete enumeration sampling method was used to collect the data from 180 medical students studying at College of Medicine, Majmaah University, Saudi Arabia. One hundred and thirty students (72.2%) were unaware of the free online resources offered by the University. Most students (58.3%, n = 105) consulted peers for online references. Male students preferred PowerPoint presentations and consulting online resources for studying as compared to the females, whereas females preferred to study textbooks predominantly as compared to males (p = 0.005). Male students significantly shifted to the online resources during the COVID-19 pandemic as compared to females (p = 0.028). Students with the highest GPA scores shifted to online educational resources during pandemic. A significant proportion of the undergraduate medical students at College of Medicine, Majmaah University used online educational resources for learning. We recommend that the college administration for deliberation with the medical educationalists for necessary curricular amendments and taking necessary steps to make the college Academic supervision and mentorship program more proactive to meet the challenges of students' use of online educational resources.

Effect of Environmental Pollutants PM2.5, CO, NO2, and O3 on the Incidence and Mortality of SARS-CoV-2 Infection in Five Regions of the USA.

In recent decades, environmental pollution has become a significant international public problem in developing and developed nations. Various regions of the USA are experiencing illnesses related to environmental pollution. This study aims to investigate the association of four environmental pollutants, including particulate matter (PM2.5), carbon monoxide (CO), Nitrogen dioxide (NO2), and Ozone (O3), with daily cases and deaths resulting from SARS-CoV-2 infection in five regions of the USA, Los Angeles, New Mexico, New York, Ohio, and Florida. The daily basis concentrations of PM2.5, CO, NO2, and O3 were documented from two metrological websites. Data were obtained from the date of the appearance of the first case of (SARS-CoV-2) in the five regions of the USA from 13 March to 31 December 2020. Regionally (Los Angeles, New Mexico, New York, Ohio, and Florida), the number of cases and deaths increased significantly along with increasing levels of PM2.5, CO, NO2 and O3 (p < 0.05), respectively. The Poisson regression results further depicted that, for each 1 unit increase in PM2.5, CO, NO2 and O3 levels, the number of SARS-CoV-2 infections significantly increased by 0.1%, 14.8%, 1.1%, and 0.1%, respectively; for each 1 unit increase in CO, NO2, and O3 levels, the number of deaths significantly increased by 4.2%, 3.4%, and 1.5%, respectively. These empirical estimates demonstrate an association between the environmental pollutants PM2.5, CO, NO2, and O3 and SARS-CoV-2 infections, showing that they contribute to the incidence of daily cases and daily deaths in the five different regions of the USA. These findings can inform health policy decisions about combatting the COVID-19 pandemic outbreak in these USA regions and internationally by supporting a reduction in environmental pollution.

Effect of environmental pollution PM2.5, carbon monoxide, and ozone on the incidence and mortality due to SARS-CoV-2 infection in London, United Kingdom.

OBJECTIVES: COVID-19 pandemic raised several queries on the relationship between the environment pollution and occurrence of new cases and deaths. This study aims to explore the effect of environmental pollution, particulate matter (PM 2.5 µm), carbon monoxide (CO) and Ozone (O3) on daily cases and daily deaths due to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in a largest metropolitan city London, United Kingdom. METHODS: For this study, we selected London, one of the highly populated capitals, and markedly affected due to COVID-19 pandemic. The data on the SARS-CoV-2 daily new cases and deaths were recorded from UK-gov Web "Coronavirus COVId-19 in the UK, 2020". The daily environmental pollutants PM 2.5 µm, CO and O3 were recorded from the metrological web "(London Air Pollution, Air Quality Index- AQI, 2020)". The daily cases, deaths, PM 2.5 µm, CO and O3 were documented from the date of the occurrence of the first case of SARS-CoV-2 in London, February 24 to November 2, 2020. RESULTS: The SARS-CoV-2 cases and deaths were positively related with environmental pollutants, PM2.5, O3 and CO levels. Additionally, with 1 µm increase in PM2.5 the number of cases and deaths significantly increased by 1.1% and 2.3% respectively. A 1 unit increase in CO level significantly increased the number of cases and deaths by 21.3% and 21.8% respectively. A similar trend was observed in O3, with 1-unit increase, the number of cases and deaths were significantly increased respectively by 0.8% and 4.4%. CONCLUSIONS: Environmental pollutants, PM2.5, CO and O3 have a positive association with an increased number of SARS-CoV-2 daily cases and daily deaths in London, UK. Environmental pollution management authorities must implement necessary policies and assist in planning to minimize the environmental pollution and COVID-19 pandemic.

Effect of environmental pollutants PM-2.5, carbon monoxide, and ozone on the incidence and mortality of SARS-COV-2 infection in ten wildfire affected counties in California.

Various regions of California have experienced a large number of wildfires this year, at the same time the state has been experiencing a large number of cases of and deaths from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The present study aimed to investigate the relationship of wildfire allied pollutants, including particulate matter (PM-2.5 µm), carbon monoxide (CO), and Ozone (O3) with the dynamics of new daily cases and deaths due to SARS-COV 2 infection in 10 counties, which were affected by wildfire in California. The data on COVID-19 pertaining to daily new cases and deaths was recorded from Worldometer Web. The daily PM-2.5 µm, CO, and O3 concentrations were recorded from three metrological websites: BAAQMD- Air Quality Data; California Air Quality Index-AQI; and Environmental Protection Agency- EPA. The data recorded from the date of the appearance of first case of (SARS-CoV-2) in California region to the onset of wildfire, and from the onset of wildfire to September 22, 2020. After the wildfire, the PM2.5 concentration increased by 220.71%; O3 by 19.56%; and the CO concentration increased by 151.05%. After the wildfire, the numbers of cases and deaths due to COVID-19 both increased respectively by 56.9% and 148.2%. The California wildfire caused an increase in ambient concentrations of toxic pollutants which were temporally associated with an increase in the incidence and mortality of COVID-19.