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Objective: To analyze and compare the effects of different clinical characteristics on the negative conversion time of nucleic acid detection after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection, and to provide a scientific basis for the isolation and treatment of coronavirus disease 2019 (COVID-19). Methods: The epidemiological and clinical data of 228 mild SARS-CoV-2 Omicron variant infected patients diagnosed in Shanghai were retrospectively collected from April 27, 2022 to June 8, 2022 in Wujiaochang designated Hospital, Yangpu District, Shanghai. The negative conversion time of nucleic acid detection was used as the outcome variable, and the patients were divided into A (18 days) and B (>18 days). Univariate and multivariate logistic regression analysis were used to analyze the influencing factors of the negative conversion time of nucleic acid detection. Results: The mean nucleic acid conversion time of 228 patients was (18.7+or-12.1) d, with the median time of 18 (2-46) d. Among them, 120 patients in group A had an average nucleic acid conversion time of (13.2+or-2.0) d, and 108 cases in group B had an average nucleic acid conversion time of (20.8+or-1.3) d. Univariate analysis showed that there were no statistically significant differences in the effects of hypertension, coronary heart disease, diabetes, hypokalemia, malignant tumors, neuropsychiatric diseases, chronic digestive diseases on the negative nucleic acid conversion time (P > 0.05);however, there were significant differences in the effects of combined cerebrovascular disease, leukopenia, chronic respiratory system diseases and vaccination on the negative nucleic acid conversion time (P < 0.05). Further multivariate logistic regression analysis revealed that the combination of chronic respiratory diseases and non-vaccination were significant risk factors for prolongation of negative nucleic acid conversion time (P < 0.05). Conclusions: The results of this study show that gender, age and whether hypertension, coronary heart disease, diabetes mellitus, hypokalemia, malignant tumor, neuropsychiatric disease and chronic digestive disease have no significant effect on the nucleic acid conversion time, whereas chronic respiratory disease and no vaccination are significantly correlated with the prolongation of nucleic acid conversion time in SARS-CoV-2 Omicron-infected patients.
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While both dementia and coronavirus disease 2019 (COVID-19) have differing etiology, there is a complex interplay between the two, especially when looking into their effects on certain sub-populations. Hispanic Americans face a higher burden of dementia and COVID-19 due to both modifiable and unmodifiable risk factors, age-related chronic diseases, and environmental factors. The major unmodifiable risk factors include increasing age and predisposing genetics, while the major modifiable risk factors include income/socioeconomic status, educational attainment, exercise, diet, and smoking/tobacco use. Furthermore, specific age-related chronic diseases such as diabetes, kidney disease, hypercholesterolemia, cardiovascular disease, and chronic lung diseases place Hispanic Americans at high risk for dementia and COVID-19. Lastly, Hispanic Americans face the additional disadvantage of environmental factors, such as social inequalities and lack of access to adequate healthcare resources. Given that Hispanic Americans are the largest racial/ethnic minority group within the United States, this chapter will focus upon the research associated with dementia and COVID-19 within the Hispanic American population of the United States. Furthermore, this chapter will explore the four major risk factor categories (unmodifiable risk factors, modifiable risk factors, age-related chronic diseases, and environmental factors), which contribute to the development of dementia and COVID-19 within the Hispanic American population of the United States. © 2023 Elsevier Inc. All rights reserved.
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Objective: Coronaviruses are a large family of viruses that cause different types of diseases. This study aims to evaluate the risk factors for mortality based on comorbidity and sociodemographic characteristics among COVID-19 patients. Methods: This cross-sectional study conducted in Herat, Afghanistan, from February 24 to July 5, 2020, used data provided by the public health department, including sociodemographics, symptoms, comorbidities, hospitalization, contact history, and COVID-19 test type. The Chi-square test was used to observe differences between categorical variables. In bivariate analysis, all independent variables with a significant p-value were put into the model. Odds ratios and 95% confidence intervals were calculated, and a p-value less than 0.05 was considered statistically significant. Results: The study analyzed 11,183 COVID-19 cases, with a 53.5% positivity rate. Recovery rates in the city and Herat province districts were 96.2% and 94.7%, respectively. Case-fatality rates varied with age, with 0.4% for those aged 1-29 and 33% for those aged 80-105. Mortality rates were highest for those with COPD and cancer, at 12.5% and 18.2%, respectively. In the logistic regression results, age, gender, and COPD were significant variables for COVID-19 mortality. Conclusion: By providing more health service facilities to people in risk groups, especially in rural areas, the mortality rate of COVID-19 and other diseases can be decreased.
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Introduction: COVID-19 is an infectious disease caused by the SARS-CoV-2 virus that commonly involved the respiratory system. However, the virus can affect any organ in the body including the liver. Hepatic involvement in COVID-19 could be related to the direct cytopathic effect of the virus, an uncontrolled immune reaction, sepsis, or drug-induced liver injury. Background: The current study aims to evaluate the relevance of liver enzyme derangement in COVID-19. Methods: The sample size of 165 patients, tested positive for covid 19 and underwent liver enzyme testing. These patients were categorized into mild, severe, and critical diseases based on clinical evaluation, radiological findings, and biochemical parameters. Results: Of 165 patients selected 103 (62.4%) have mild disease, 40(24.2%) have severe and 12(7.2%) suffered from the critical disease. 48(29.1%) patients show deranged liver function. 83.3% of critical patients and 45% of severe patients show deranged liver function.9.09%of patients died due to severe COVID-19 infections showing moderately to severe liver function derangement. Conclusions: This study concludes that the severity of COVID-19 disease may increase due to chronic liver disease, particularly fatty liver. Atypical ALT and AST levels during hospitalization were indicative of liver injury and correlated with the severity of patients.
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Air pollution is a serious problem in Romania, with the country ranking 13th among the most polluted countries in Europe in the 2021 World Air Quality Report. Despite the recognized impact of pollutants on health, there has been a lack of large-scale studies conducted in Romania. This study investigated the impact of air pollutants on patients with chronic respiratory, cardiovascular, cerebrovascular, or metabolic diseases in Bucharest and its metropolitan area from 20 August 2018 to 1 June 2022. The daily limit values for particulate matter PM10 and PM2.5 were exceeded every month, especially during the cold season, with a decrease during the COVID-19 pandemic restrictions. A significant statistical correlation was found between the monthly average values of PM2.5 and PM10 and hospitalizations for respiratory and cardiovascular diseases. A 10 µg/m3 increase in monthly average values resulted in a 40–60% increase in admissions for each type of pathology, translating to more than 2000 admissions for each pathology for the study period. This study highlights the urgent need for national and local measures to ensure a cleaner environment and enhance public health in Romania according to international regulations. © 2023 by the authors.
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The COVID-19 pandemic, emerging/re-emerging infections as well as other non-communicable chronic diseases, highlight the necessity of smart microfluidic point-of-care diagnostic (POC) devices and systems in developing nations as risk factors for infections, severe disease manifestations and poor clinical outcomes are highly represented in these countries. These POC devices are also becoming vital as analytical procedures executable outside of conventional laboratory settings are seen as the future of healthcare delivery. Microfluidics have grown into a revolutionary system to miniaturize chemical and biological experimentation, including disease detection and diagnosis utilizing muPads/paper-based microfluidic devices, polymer-based microfluidic devices and 3-dimensional printed microfluidic devices. Through the development of droplet digital PCR, single-cell RNA sequencing, and next-generation sequencing, microfluidics in their analogous forms have been the leading contributor to the technical advancements in medicine. Microfluidics and machine-learning-based algorithms complement each other with the possibility of scientific exploration, induced by the framework's robustness, as preliminary studies have documented significant achievements in biomedicine, such as sorting, microencapsulation, and automated detection. Despite these milestones and potential applications, the complexity of microfluidic system design, fabrication, and operation has prevented widespread adoption. As previous studies focused on microfluidic devices that can handle molecular diagnostic procedures, researchers must integrate these components with other microsystem processes like data acquisition, data processing, power supply, fluid control, and sample pretreatment to overcome the barriers to smart microfluidic commercialization.Copyright © 2023 by Begell House, Inc.
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Introduction: Faced with the pandemic produced by SARS-CoV-2, the Peruvian government implemented several measures such as the temporary closure of primary care facilities and the health system implemented various policies and strategies;one of them was to create and implement the Drug Delivery System for Chronic Patients (SIENMECRO) project. Background: To describe the creation and implementation process of SIENMECRO project. Methods: Qualitative case study that involved reviewing existing documentation such as texts and videos and conducting in-depth interviews with officials and collaborators involved since the preparation of SIENMECRO proposal. Results: SIENMECRO project emerges as a positive initiative with the aspiration of promoting an integrated health system that addresses the health reality from the social determinants of health, due to patients' difficulties to go to their controls and to receive their treatment. Although there was no comprehensive plan for the implementation and control of the project, it was essential to cover the need for health care for a vulnerable segment of the population, avoiding their transfer and preserving the health of the people most likely to suffer complications from COVID-19 infection. Conclusions: It is an initiative where the health system takes a more proactive role for the benefit of the population, implementing the use of technology of the information and communication in health care, articulating with the various providers and bringing services closer to the most vulnerable citizens.
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Non-invasive ventilation (NIV) might be successful if carefully selected in adult patients with cardiac dysfunction presenting with community-acquired pneumonia. The main objective of this study was to identify the early predictors of NIV failure. Adult patients with left ventricle ejection fraction (LV EF) <50% admitted to the intensive care unit (ICU) with community-acquired pneumonia and acute respiratory failure were enrolled in this multicenter prospective study after obtaining informed consents (study registrationID: ISRCTN14641518). Non-invasive ventilation failure was defined as the requirement of intubation after initiation of NIV. All patients were assessed using the Acute Physiology and Chronic Health Evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores at admission, while their Heart rate Acidosis Consciousness Oxygenation and Respiratory rate (HACOR) and lung ultrasound (LUS) scores in addition to blood lactate were assessed at NIV initiation and 12 and 24 hours later. A total of 177 patients were prospectively enrolled from February 2019 to July 2020. Of them, 53 (29.9%) had failed NIV. The mean age of the study cohort was 64.1+or- 12.6 years, with a male predominance (73.4%) and a mean LV EF of 36.4 +or- 7.8%. Almost 55.9% of the studied patients had diabetes mellitus, 45.8% had chronic systemic hypertension, 73.4% had ischemic heart disease, 20.3% had chronic kidney disease, and 9.6% had liver cirrhosis. No significant differences were observed between the NIV success and NIV failure groups regarding underlying morbidities or inflammatory markers. Patients who failed NIV were significantly older and had higher mean SOFA and APACHE II scores than those with successful NIV. We also found that NIV failure was associated with longer ICU stay (p < 0.001), higher SOFA scores at 48 hours (p < 0.001) and higher mortality (p < 0.001) compared with the NIV success group. In addition, SOFA (Odds Ratio (OR): 4.52, 95% Confidence Interval (CI): 2.59-7.88, p < 0.001), HACOR (OR: 2.01, 95% CI: 0.97-4.18, p = 0.036) and LUS (OR: 1.33, 95% CI: 1.014-1.106, p = 0.027) scores and blood lactate levels (OR: 9.35, 95% CI: 5.32-43.26, p < 0.001) were independent factors for NIV failure. High initial HACOR and SOFA scores, persistent hyperlactatemia and non-decrementing LUS score were associated with early NIV failure in patients with cardiac dysfunction presenting with community-acquired pneumonia, and could be used as clinical and paraclinical variables for early decision making regarding invasive ventilation.
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Objective: In this study, the effect of having had coronavirus disease-2019 (COVID-19) disease on anti-vaccination was investigated. Material and Methods: The study was conducted between February 2022-August 2022 in the COVID chest diseases clinic in our hospital. The cases who were COVID-19 vaccine hesitancy and not vaccinated against COVID-19 hospitalized in our clinic were included in the study. The level of anti-vaccination of the cases was measured with the Vaccine Hesitancy Scale (VHS). In addition, demographic informations such as age, gender, educational status, marital status, number of people living in the household, average monthly income, smoking history, and additional chronic diseases were recorded. Routine radiological and laboratory examinations, follow-up times in the clinic, and treatment results were recorded for cases like all patients hospitalized in our COVID chest diseases clinic. Results: 46 cases were included in the study. The mean age of the cases was 54.63+or-14.81 years, 24 (52.1%) were female. VHS was applied to all cases at the time of hospitalization. Since 6 cases were referred to the intensive care unit due to respiratory failure, the second VHS could not be applied to these cases, and these 6 cases were excluded from the study. A 2nd VHS was performed in the remaining 40 patients just before discharge. Each question score, A-B-C section score and total scale score were compared for the pre-COVID-19 and post-COVID-19 cases. While the VHS total score before COVID-19 infection was 36.48+or-7.36, the post-COVID-19 total score was found to be 25.65+or-9.10, a statistically significant decrease was observed (p < 0.001). It was observed that the mean scores of A-B-C decreased statistically in all sections (p < 0.001). Conclusion: As a result of our study, we found that the degree of anti-vaccine resistance decreased after the patients who were against the COVID-19 vaccine had the disease. As a result of our study, we found that the degree of COVID-19 vaccine hesitancy of patients decreased after they had the disease. We believe that conducting similar studies and sharing their results through mass media, can change the perspective of vaccine hesitancy individuals in society on this situation, especially during pandemic periods.
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Introduction: Caring for the chronically ill at home is a particularly demanding process that can place a great burden on the caregiver. International and Greek studies underline and confirm this problem. In addition, family caregivers are not supported by the health systems of the different countries, especially in Greece, where the system relies mainly on the family to care for these patients, which is even more challenging during the Covid-19 pandemic. Aim: The aim of this study is to evaluate the psychological burden of family caregivers of the chronically ill and the outcomes of care for these individuals. It also aims to assess the intensity of burden and changes in quality of life of family caregivers by demographic characteristics. Methods: The sample of the study was a random sample and consisted of 102 family caregivers of chronically ill patients registered in home care of "Metaxa" hospital. The scales (BAKAS/BCOS) and (HADS) were used for data collection. SPSS 25 statistical package was used for statistical analysis of the results. Results: The results of the study, calculated with the BCOS scale, show a low burden (-0.93) of family caregivers, patients with chronic diseases and moderate depression and anxiety. The results of the analysis associate the intensity of family caregiver burden with increased levels of anxiety and depression. The factors that affect burden are gender, with women having higher burden, living with the patient, and low education level. According to the HADS anxiety scale, family caregivers had an average score of 11, indicating a moderate level of anxiety, and for depression, the average score was 10.4, also indicating a moderate level of depression. The results indicate that the state needs to support family caregivers and take immediate action to create structures and implement actions to help families continue in their difficult roles in a pain-free manner.
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Objective: To examine chronic diseases, clinical factors, and sociodemographic characteristics associated with telemedicine utilization among a safety-net population. Materials and Methods: We conducted a retrospective cohort study of adults seeking care in an urban, multisite community health center in the Northeast United States. We included adults with ≥1 outpatient in-person visit during the pre-COVID-19 period (March 1, 2019-February 29, 2020) and ≥1 outpatient visit (in-person or telemedicine) during the COVID-19 period (March 1, 2020-February 29, 2021). Multivariable logistic regression models estimated associations between clinical and sociodemographic factors and telemedicine use, classified as "any" (≥1 visit) and "high" (≥3 visits). Results: Among 5,793 patients who met inclusion criteria, 4,687 (80.9%) had any (≥1) telemedicine visit and 1,053 (18.2%) had high (≥3) telemedicine visits during the COVID-19 period. Older age and Medicare coverage were associated with having any telemedicine use. Older and White patients were more likely to have high telemedicine use. Uninsured patients were less likely to have high telemedicine use. Patients with increased health care utilization in the pre-COVID-19 period and those with hypertension, diabetes, substance use disorders, and depression were more likely to have high telemedicine engagement. Discussion: Chronic conditions, older patients, and White patients compared with Latinx patients, were associated with high telemedicine engagement after adjusting for prior health care utilization. Conclusion: Equity-focused approaches to telemedicine clinical strategies are needed for safety-net populations. Community health centers can adopt disease-specific telemedicine strategies with high patient engagement.
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AIMS: This study evaluated the association between depression and lifestyle changes due to the COVID-19 pandemic and evaluated this association in patients with chronic diseases. METHODS: Data were obtained from the 2020 Community Health Survey in South Korea. This study included 212,806 participants and perceived changes in life patterns (sleep, food, and exercise) after the COVID-19 outbreak were measured. People with hypertension or diabetes were categorized as patients with chronic diseases and depression was defined as a score of ≥10 on the Patient Health Questionnaire-9. RESULTS: Compared with before the COVID-19 pandemic, increased or decreased sleep, the consumption of instant food, and decreased physical activity were associated with increased depression. Compared with the general population, patients with chronic diseases showed increased depression, with or without medication. Additionally, among patients with chronic diseases not taking medication, increased physical activity was associated with reduced depression, whereas reduced physical activity was associated with increased depression in both younger and older groups. CONCLUSIONS: This study found that unhealthy lifestyle changes during the COVID-19 pandemic were associated with increased depression. Maintaining a certain lifestyle is important for mental health. Chronic disease patients need appropriate disease management, including physical activity.
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Background: COVID-19 patients may experience lon-lasting symptoms from weeks to even months. Aim: To evaluate long-term cognitive impairment based on the severity of symptoms of COVID-19 infection in a primary health system setting. Material and methods: From a database of 363 patients, 83 cases aged 47 +or- 15 years, (58% females) were selected from June to August 2020. In patients who survived the virus, 24 infection-related symptoms were collected to create three severity clusters (mild, moderate, and severe). The follow-up time was at least seven months. Comparing the first two clusters with the severe cluster, the existence of brain fog and risk factors (obesity, hypertension, diabetes, chronic lung disease, and hypothyroidism) were analyzed. Results: Thirty-one patients (37%) had persistent symptoms lasting up to 240 days. Fifty-one patients (61%) experienced brain fog. Concentration was affected by symptom severity (odds ratio [OR] 3.63, 95% confidence interval [CI] 1.26-10.46, p = 0.02). Short- or long-term memory loss was not affected. Moreover, symptom severity was related to brain fog (OR 3.16, 95% CI 1.05-9.51, p = 0.04). Patients with persistent symptoms had a concentration impairment associated with severity patterns (OR 24.3, 95% CI 1.73-340.11, p = 0.03). Conclusions: Brain fog is associated with symptom severity in COVID-19 survivors and lasts for more than eight months.
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COVID-19 is a serious infection that cause severe injuries and deaths worldwide. The COVID-19 virus can infect people of all ages, especially the elderly. Furthermore, elderly who have co-morbid conditions (e.g., chronic conditions) are at an increased risk of death. At the present time, no approach exists that can facilitate the characterization of patterns of COVID-19 death. In this study, an approach to identify patterns of COVID-19 death efficiently and systematically is applied by adapting the Apriori algorithm. Validation and evaluation of the proposed approach are based on a robust and reliable dataset collected from Health Affairs in the Makkah region of Saudi Arabia. The study results show that there are strong associations between hypertension, diabetes, cardiovascular disease, and kidney disease and death among COVID-19 deceased patients © 2023, International Journal of Advanced Computer Science and Applications.All Rights Reserved.
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Introduction: According to scientific studies, a high incidence of thrombotic events is known in hospitalized patients with COVID-19. Less than 50% of pulmonary embolisms (PE) are associated with signs of deep vein thrombosis (DVT) of the lower extremities. Background: To identify significant risk factors for thrombosis thrombosis (DVT) in intensive care patients with COVID-19. Materials and methods: We conducted a prospective cross-sectional study that included 465 adult patients with laboratory-confirmed COVID-19 admitted to the intensive care unit. All patients underwent computer tomography of the chest organs, ultrasound angioscanning of lower extremities, body mass index was calculated, the presence of comorbotity diseases and indicators of volumetric blood saturation were considered. The level of D-dimer in blood plasma, coagulation parameters (fibrinogen, factor VIII) were taken from laboratory parameters in calculations. For subgroups with 5 or fewer people, the chi-square test and Fisher's exact test were used. For quantitative variables, analysis of variance (ANOVA) and the Pearson and Spearman correlation coefficient were used. For multiple variables, ordered logistic regression models were built, with likelihood ratio tests performed to compare the models. Results: A total of 465 patients were included in the study. Comorbidities were present in 435 of 465 patients (93.55%) had at least one comorbidity. The most common was arterial hypertension - 370 (79.57%), followed by chronic heart failure - 196 (42.15%), obesity - 161 (34.62%), diabetes mellitus - 144 (30.97%), chronic renal failure (CRF) -58 (12.47%) and oncological diseases -25 (5.38%). The average body mass index was 29.7 kg/m2. In patients with DVT and venostasis, the body mass index (BMI) was more than 30 kg/m2 than without DVT (32.57+or-10.92 kg/m2, and 30.24+or-6.85 kg/m2, versus 29.22+or-6.46 kg/m2, respectively). Ultrasound angioscanning (USAS) confirmed deep vein thrombosis in 60 patients (13.8%) and was associated with older age (71.12+or-13.98 versus 67.20+or-11.16, p < 0.006), venous stasis was detected in 56 patients (12%) no DVT was detected in the rest of the studied patients. In the majority of cases, DVT was detected in the tibial segment -26 (43.33%), in 18 (30%) patients it was diagnosed in the popliteal veins and in 14 (23.33%) cases in the femoral segment. Diabetes mellitus (p=0.041), obesity (p=0.01) and CRF (p=0.028) were also significant risk factors for DVT. Conclusions: Significant risk factors for deep vein thrombosis in intensive care patients with COVID-19 are high levels of D-dimer (>=2.33 g/ml) and comorbidities such as obesity, chronic kidney failure, and diabetes mellitus.
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Background: The emergence of COVID-19 has spurred a wide range of psychological morbidities. However, its influence on a vulnerable population with chronic conditions is less addressed. Therefore, this study aimed to investigate the psychological health among patients with chronic diseases during the elevated psychiatric distress associated with the outbreak and examine the efficacy and feasibility of mindfulness-based stress reduction intervention (MBSR). The study involved 149 participants recruited from university hospital outpatient clinics. Patients were allocated into two groups: MBSR training program and control group. Standardized questionnaires were administered to assess depression, anxiety and stress prior to the MBSR program and at completion of the training after 8 weeks. Results: The results showed that MBSR intervention improved psychological distress and decreased the mean scores of depression, anxiety and stress. Conclusions: Mindfulness training program based on audio and smartphone was feasible and effective when it was applied to patients with chronic diseases and showed positive impact on negative psychological stress domains. These findings pave the way for the integration of psychological support for patients with chronic illnesses in clinical settings.
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PURPOSE: To characterize COVID-19 vaccine uptake in patients with chronic conditions at the large university-based Family Medicine practice serving a population with low COVID-19 vaccine acceptance. METHODS: A rolling panel of patients attributed to the practice was submitted monthly to the Chesapeake Regional Health Information Exchange (CRISP) to monitor patients' vaccination status. Chronic conditions were identified using the CMS Chronic Disease Warehouse. An outreach strategy deploying Care Managers was developed and implemented. Associations between vaccination status and patients' characteristics were examined using a multivariable Cox's proportional hazard regression modeling. RESULTS: Among 8469 empaneled adult (18+) patients, 6404 (75.6%) received at least 1 dose of COVID-19 vaccine in December 2020 to March 2022. Patients were relatively young (83.4% <65 years old), predominantly female (72.3%), and non-Hispanic Black (83.0%). Among chronic conditions, hypertension had the highest prevalence (35.7%), followed by diabetes (17.0%). Associations between vaccine status and the presence of chronic conditions varied by age and race. Older patients (45+ years old) with diabetes and/or hypertension showed a statistically significant delay in receiving COVID-19 vaccine, while young Black adults (18-44 years old) with diabetes complicated by hypertension were more likely to be vaccinated compared to patients of the same age and race with no chronic conditions (Hazard ratio 1.45; 95% CI 1.19,1.77; P = .0003). CONCLUSIONS: The practice-specific COVID-19 vaccine CRISP dashboard helped to identify and address delays in receiving COVID-19 vaccine in the most vulnerable, underserved populations. Reasons for age and race-specific delays in patients with diabetes and hypertension should be explored further.
Subject(s)
COVID-19 , Hypertension , Humans , Female , Aged , Middle Aged , Adolescent , Young Adult , Adult , Male , COVID-19 Vaccines , COVID-19/prevention & control , Family Practice , Universities , Chronic Disease , Hypertension/epidemiology , VaccinationABSTRACT
BACKGROUND: Patients with chronic health conditions risk aggravation of their health status due to reduced access to health services during the COVID-19 related lockdown. OBJECTIVES: To investigate the impact of Belgian COVID-19 measures on general health status (i.e. worse or stable/better) of patients, adult and pediatric, with chronic health conditions and how this change in health status relates to personal and health behavior-related factors. DESIGN: A cross-sectional study using an online survey was conducted during the first COVID-19 related lockdown in Belgium. METHODS: Associations between change in health status since the lockdown and (change in) personal and health behavior-related factors (including physical activity, access to health-care services and social activities) were investigated. RESULTS: In adults (n = 561), almost all personal factors, including feelings of distress, depression, anxiety, somatization, and low self-efficacy, were significantly worse in patients with a worse health status during the lockdown (n = 293, 52%) compared to patients reporting a stable/better health status (p < .001-0.002). Also, these patients reported lower physical activity levels, more tele-consultations and less social activities (p < .001-0.006). In children (n = 55), all surveys were completed by a proxy (parent(s)/guardian) who reported a worse health status in 38% of the children. Level of distress of the child (p = .005) since the lockdown and somatization of the parent(s) (p = .0018) were significantly worse in children with a worse versus a stable/better health status. CONCLUSION: Fifty-two percent of the adults and 38% of children with chronic health conditions reported worsening of their general health status during the lockdown in March-May 2020 in Belgium. Negative personal factors and unhelpful health behavior seems to be associated with a worse health status.
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An important environmental problem for the Municipality of Burgas is the relatively high levels of PM10 pollution. Particulate matter PM10 is defined as the fraction of particles with an aerodynamic diameter smaller than 10 pm. The article provides statistical processing and evaluation of daily data on the concentration of PM10 in the air by quarters fix Burgas, 2021. A histogram of the frequency distribution of concentrations by quarters was prepared. A regression model for calculating the monthly concentrations in the atmospheric air is derived The tests and inspections performed show that the performed modelling is suitable for evaluation, analysis and forecast. Air pollution harms human health and the environment. Exposure ID air pollution is associated with a wide range of acute and chronic health effects, ranging from irritating effects to death From the end of 2019 until now in the world, Europe and in particular Bulgaria is raging a dangerous respiratory disease known as COVD19. The average monthly new cases of COVD19 for Burgas were assessed, as well as the respective maximum and minimum monthly values. A qualitative assessment of the relationship between the monthly concentrations of PM10 and the incidence of COVID19 was made.
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IoT seems to be the trending solution in all sectors notably because of the yield in productivity, efficiency, effective strategies, and results that are associated with adapting to this technology. These positive results are enormously experienced in one of the crucial sectors which determine and ensure the prolonged healthy life expectancy of mankind. It is well noted that a lot of work has been done on this topic in Academia and Corporate field all over the world but this paper will present a selective review that has been done so far by the Academic world as a scholarly article and a resource for the Health Sector in Fiji to earnestly integrate smart technologies in its architecture. © 2022 IEEE.