Hospital Isolation Research Articles

Epidemiologic Characteristics, Clinical Features and Outcomes of COVID 19: Patients Admitted at the Asokoro District Hospital Isolation and Treatment Center, Abuja, North Central Nigeria

Background: The COVID -19 pandemic spread rapidly across the globe, making a land-fall on the Nigerian geo-space in early 2020. Key presenting features were; fever, dry cough, fatigue, myalgia, headache, sore-throat, abdominal pain, diarrhea, dyspnoea amongst others, with a clinical spectrum ranging from mild through severe forms. Aside infection control and supportive care, there was no specific therapy until trials with Remdesivir. Studies have described limited epidemiological findings, presentations and outcomes of COVID patients in Nigeria and elsewhere, but not for the Federal Capital Territory, (FCT) specifically Abuja, the Nation's capital city and the second epicenter of the pandemic in Nigeria. The objective of this study therefore, was to describe the Clinical and demographic characteristics of the patients admitted at the Asokoro District Hospital (ADH), Abuja.
 Methods: Retrospective study that used records of patients admitted, between April and September 2020. Data include; Socio-demographics, medical history, exposure, residential area, co-morbidities, symptoms, signs, treatment measures, duration of hospital stay and outcomes.
 Results: 270 patients were enrolled for this study. 170(63%) males and 100(37%) females. Mean age was 40.03+13.5years. Forty-one(15.2%) had travel history while 99(36.7%) had contact with confirmed cases. Majority of the patients were married(63.33%), and had tertiary education(74.82%). Commonest symptoms were cough(43.33%), fever(36.67%), headaches(32.22%) and fatigue(31.48%). The duration of stay at the ADH ranged from 2 hours to 28 days.
 Conclusion: Our patients were young, mainly of the upper class, educated people with mild to severe disease. There was one death, a case with multiple comorbid factors.
 Keywords: Abuja-Nigeria; COVID patients; Socio-demographics; clinical features; outcomes.

Hematologic and coagulopathy parameter as a survival predictor among moderate to severe COVID-19 patients in non- ICU ward: a single-center study at the main referral hospital in Surabaya, East Java, Indonesia.

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217were tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, showed significantly different result in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univariate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly as the disease gets more severe.. Coronary heart disease is an independent predictor of mortality.

Social Support and Acceptance Commitment Therapy on Subjective Well-Being and Mental Health of COVID-19 Patient

BACKGROUND: The COVID-19 pandemic does not only have a physical impact on the sufferers, restrictions on social interaction, and the existence of negative stigma from residents, but also have an impact on mental health and self-assessment on the patient. Nursing interventions can improve the mental health and happiness of patients, namely by providing social support and providing acceptance commitment therapy by the health workers. The provision of social support and acceptance commitment therapy aims to produce a meaningful life for patients undergoing treatment. AIM: The aim of this study was to determine the effect of social support and acceptance commitment therapy on subjective well-being and mental health of COVID-19 patients. METHODS: The research design used is quasi-experimental research with dependent pre-test and post-test samples. The sampling technique used is consecutive sampling to determine the sample according to the inclusion and exclusion criteria, with a total sample of 106 respondents who were divided into 53 respondents for the intervention group and 53 respondents for the control group. The independent variables in this study are social support and acceptance commitment therapy. Meanwhile, the dependent variables in this study are subjective well-being and mental health. The instruments used in this research are The Social Support Questionnaire, Mental Health Inventory, and Satisfaction with Life Scale. Statistical analysis was conducted using t-test with p < 0.5. RESULTS: The results show that in the intervention group, the difference in mean subjective well-being before and after the intervention is 6.88, while the difference in the mean of mental health before and after the intervention is 39.71. Furthermore, in the control group, the difference in mean subjective well-being before and after the intervention is 0.17, while the difference in the mean of mental health before and after the intervention is 0.02. Data analysis shows that social support and acceptance commitment therapy had an effect on subjective well-being and mental health of COVID-19 patients with p = 0.00. CONCLUSION: The provision of social support and acceptance commitment therapy can be done as a preventive effort to maintain the mental health and subjective well-being of COVID-19 patients during the treatment period both in the hospital and independent isolation at home.

Long-term impact of contact precautions cessation for Methicillin-Resistant Staphylococcus Aureus (MRSA)

Methicillin-Resistant Staphylococcus aureus (MRSA) is a major cause of healthcare-associated infections (HAI). Contact isolation has been traditionally implemented to stop transmission but its impact is increasingly questioned. A single center, retrospective, nonrandomized, observational, quasi-experimental study compared MRSA HAI rates between pre-/postdiscontinuation of MRSA contact isolation in a tertiary university hospital over 68 months. Data on primary outcomes, Central line-associated bloodstream infections and MRSA LabID bacteremia events, were analyzed by interrupted time series design using segmented Poisson regression modeling. As secondary outcomes catheter-associated urinary tract infections , ventilator-associated pneumonia , surgical site infections and hospital-associated pneumonia were compared using Fisher's exact tests. Current savings due to discontinuation were calculated based on gown use. Two hundred and ninty-five patients developed 399 HAIs. Infection rates between pre- and postinterventions were as follows: Central line-associated bloodstream infections: (0.02% vs 0.02%; P-value=.64), MRSA LabID events: (0.01% vs 0.02%; P-value=.32), hospital-associated pneumonia: (0.01% vs 0.01%; P-value=.64), catheter-associated urinary tract infections: (0% vs 0.01%; P-value=.56), ventilator-associated pneumonia: (0.01% vs 0.01%; P-value=.32), surgical site infections (0.55% vs 0.15%; P-value=.03). Savings amount to $139,228 annually. Discontinuing CP did not negatively impact endemic MRSA HAI rates between pre-postdiscontinuation periods and saved costs for isolation materials.

Determinants of Vaccine Acceptance against COVID-19 in China: Perspectives on Knowledge and DrVac-COVID19S Scale.

Background: This study determined the knowledge and attitudes regarding COVID-19 and assessed the acceptance of the COVID-19 vaccine among the Chinese population. Methods: An online and offline cross-sectional study was conducted from 1 to 18 June 2021 among the Chinese population. Demographic characteristics, attitudes, knowledge, values, impact, and autonomy regarding the COVID-19 vaccine were collected using questionnaire. The variables in our study were analyzed by Mann-Whitney test and chi-square test. Results: A total of 93.8% participants were willing to be vaccinated, 2.7% refused, and 3.5% hesitated. In regards to knowledge about the COVID-19 vaccine, 94.3% citizens surveyed knew about the spread of droplets and 65% had knowledge about surfaces touched by an infected person. In addition, 93.8% of participants had knowledge of the common symptoms related to COVID-19, such as fever and cough (93.8%), shortness of breath/anorexia/fatigue/nausea/vomiting/diarrhea (80.2%), and panic and chest tightness (69.4%). Most participants had a strong self-prevention awareness, such as washing hands regularly (92.1%) and wearing a facemask (94.1%). Besides, over ninety percent of respondents would report exposure to SARS-CoV-2 (96.6%) and exposure to symptoms possibility related to COVID-19 (92.9%). If necessary, most respondents would agree to isolate at home (93.5%) or an isolation in hospital (96.3%). Knowledge of COVID-19, including transmission, symptoms, protective measures, and vaccines itself, is associated with vaccination attitude. Values, perceived impacts, knowledge, and autonomy, assessed by the scale of DrVac-COVID19S, have also been revealed as important determinants to vaccine acceptance. Conclusions: Almost 93% of Chinese people surveyed in this study showed a willing attitude toward COVID-19 vaccination. Based on the above results, government and social workers can take measures from these perspectives to improve the vaccination attitude, so as to increase vaccine immunization rates.

Modelling the impact of travel restrictions on COVID-19 cases in Hong Kong in early 2020

BackgroundCoronavirus Disease 2019 (COVID-19) led to pandemic that affected almost all countries in the world. Many countries have implemented border restriction as a public health measure to limit local outbreak. However, there is inadequate scientific data to support such a practice, especially in the presence of an established local transmission of the disease.ObjectiveTo apply a metapopulation Susceptible-Exposed-Infectious-Recovered (SEIR) model with inspected migration to investigate the effect of border restriction as a public health measure to limit outbreak of coronavirus disease 2019.MethodsWe apply a modified metapopulation SEIR model with inspected migration with simulating population migration, and incorporating parameters such as efficiency of custom inspection in blocking infected travelers in the model. The population sizes were retrieved from government reports, while the number of COVID-19 patients were retrieved from Hong Kong Department of Health and China Centre for Disease Control (CDC) data. The R0 was obtained from previous clinical studies.ResultsComplete border closure can help to reduce the cumulative COVID-19 case number and mortality in Hong Kong by 13.99% and 13.98% respectively. To prevent full occupancy of isolation facilities in Hong Kong; effective public health measures to reduce local R0 to below 1.6 was necessary, apart from having complete border closure.ConclusionsEarly complete travel restriction is effective in reducing cumulative cases and mortality. However, additional anti-COVID-19 measures to reduce local R0 to below 1.6 are necessary to prevent COVID-19 cases from overwhelming hospital isolation facilities.

Knowledge and Compliance of Pediatric Nurses Related to Hospital Isolation Precaution and Symbols

Knowledge and Compliance of Pediatric Nurses Related to Hospital Isolation Precaution and Symbols

Experience of patients with COVID-19 in hospital isolation in Taiwan.

The COVID‐19 pandemic has significantly impacted everyone's lives, challenging us in ways that can be frustrating, daunting, and intensely emotive. This qualitative study explored the isolation experiences of patients with COVID‐19 in a hospital in northern Taiwan. We collected data from nine patients in June–July 2020, conducting semi‐structured, virtual face‐to‐face, in‐depth interviews to gather input on two topics: (1) the psychological effect of hospital isolation on patients, including the psychological burden, stress response, support, disease stigma, and fear of returning to society; and (2) the patients' cognition and behaviors, which included tracking epidemic information, monitoring disease progression, soliciting suggestions about hospital isolation, and gauging comprehension after recovery. The results confirmed that hospital isolation significantly impacts patients physically, psychologically, spiritually, and socially. Thus, the isolated patients faced the dual challenges of fighting, adapting to, and recovering from the disease itself and struggling in isolation to maintain positive beliefs, independently assess their condition, and gain strength from the knowledge of continuing social support.

Hematologic and coagulopathy parameter as a survival predictor among moderate to severe COVID-19 patients in non- ICU ward: a single-center study at the main referral hospital in Surabaya, East Java, Indonesia.

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217 tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, were significantly different in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univatiate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters were increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly with increasing disease severity. Coronary heart disease is an independent predictor of mortality.

Analysis of Inpatient Linen Management in Hospital Isolation Room in Indonesia: A Review

Linen handling activities are a very important handling activity carried out in hospitals. The thing that can minimize the risk of distribution of linen is to carry out proper handling according to standards. If the handling is carried out properly, the risk of spreading microorganisms to activities, staff, and the environment can be carried out and minimized. The purpose of writing this article is to find out the analysis of inpatient linen management in isolation rooms in various hospitals in Indonesia. The method used in writing this article is a qualitative method with the strategy used is a literature study on the topic of analysis of linen management in hospital isolation rooms in Indonesia. The results of the literature from various sources found that hospitals in Indonesia had set standards for linen management to prevent transmission. However, linen management in various hospitals in Indonesia, in general, has not been able to run optimally and has not met the applicable standards. This can be seen from the various stages of handling linen that does not meet the standards starting from the stages of separation, reception, processing, washing, and storage. Abstrak: Kegiatan penanganan linen merupakan sebuah kegiatan penanganan yang sangat penting dilakukan di rumah sakit. Hal yang dapat meminimalisir risiko penularan dari linen yaitu dengan melaksanakan penanganan yang tepat sesuai dengan standar. Jika kegiatan penanganan dilakukan dengan tepat, maka risiko penularan mikroorganisme pada pasien, petugas serta lingkungan dapat dicegah dan diminimalisir. Tujuan penulisan artikel ini yaitu untuk mengetahui analisis pengelolaan linen rawat inap ruang isolasi di berbagai rumah sakit di Indonesia. Metode yang digunakan dalam penulisan artikel ini yaitu metode kualitatif dengan strategi yang digunakan adalah studi literatur dengan topic analisis pengelolaan linen rawat inap ruang isolasi rumah sakit di Indonesia. Hasil tinjauan pustaka dari berbagai sumber yang ditemukan menyatakan bahwa rumah sakit di Indonesia sudah menetapkan standar pengelolaan linen untuk mencegah risiko penularan. Namun, pengelolaan linen di berbagai rumah sakit di Indonesia secara garis besar belum dapat berjalan dengan maksimal dan belum memenuhi standar ketentuan yang berlaku. Hal ini dapat dilihat dari berbagai tahap kegiatan penanganan linen yang belum memenuhi standar mulai dari tahap pemisahan, penerimaan, pengangkutan, pencucian dan penyimpanan.

The Challenge of Using an Antigen Test as a Screening Tool for SARS-CoV-2 Infection in an Emergency Department: Experience of a Tertiary Care Hospital in Southern Italy.

Background In emergency hospital settings, rapid diagnosis and isolation of SARS-CoV-2 patients are required. The aim of the study was to evaluate the performance of an antigen chemiluminescence enzymatic immunoassay (CLEIA) and compare it with that of Real-time Reverse transcription-Polymerase Chain Reaction (RT-qPCR), the gold standard assay, to assess its suitability as a rapid diagnostic method for managing patients in the emergency department (ED). Methods Consecutive patients with no previous history of SARS-CoV-2 infection attending the ED of the Policlinico Hospital of Bari between 23rd October and 4th November 2020 were enrolled. Clinical and demographic data were collected for all patients. Nasopharyngeal swabs collected on admission were subjected both to molecular (RT-qPCR) and antigen (CLEIA) tests for SARS-CoV-2. The performance of the CLEIA antigen test was analyzed using R Studio software and Microsoft Excel. Receiver operating characteristics were also performed. Results A total of 911 patients were enrolled, of whom 469 (51.5%) were male. Of the whole cohort, 23.7% tested positive for SARS-CoV-2 by RT-qPCR and 24.5% by CLEIA. The overall concordance rate was 96.8%. The sensitivity, specificity, positive predictive value, and negative predictive value of the antigen test were 94.9% (95% CI, 91.9–97.0), 97.4% (95% CI, 96.5–98.1), 91.9% (95% CI, 89.0–94.0), and 98.4% (95% CI, 97.4–99.1), respectively. The area under the curve (AUC) was 0.99. The kappa coefficient was 0.91. The overall positive and negative likelihood ratios were 37 (95% CI 23-58) and 0.05 (95% CI, 0.03–0.09), respectively. Conclusions Data analysis demonstrated that the antigen test showed very good accuracy for discriminating SARS-CoV-2-infected patients from negative participants. The CLEIA is suitable for rapid clinical diagnosis of patients in hospital settings, particularly in EDs with a high prevalence of symptomatic patients and where a rapid turnaround time is critical. Timely and accurate testing for SARS-CoV-2 plays a crucial role in limiting the spread of the virus.

Hematologic and coagulopathy parameter as a survival predictor among moderate to severe COVID-19 patients in non- ICU ward: a single-center study at the main referral hospital in Surabaya, East Java, Indonesia

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217 were tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, showed significantly different result in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univariate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly as the disease gets more severe.. Coronary heart disease is an independent predictor of mortality.

SARS-CoV-2 Shedding in Dialysis Patients With COVID-19

SARS-CoV-2 Shedding in Dialysis Patients With COVID-19

Associations Between COVID-19 Symptoms and Psychological Distress.

Background: Hospital isolation for COVID-19 may cause significant psychological stress. The association between COVID-19 symptoms and psychological symptoms has not been systematically studied. We investigated the effects of telephonic intervention on the relationship between psychological symptoms and COVID-19 symptoms at the time of hospitalization and 1 week later.Method: We screened 461 patients with COVID-19 for psychiatric symptoms from February 29, 2020, to January 3, 2021. In total, 461 patients were evaluated 2 days after admission, and 322 (69.8%) were followed 1 week later. To assess anxiety and depressive symptoms, the Hospital Anxiety and Depression Scale (HADS) was administered to patients once per week. The Insomnia Severity Index (ISI) and item 9 of the Beck Depression Inventory (BDI-9) were used weekly to assess insomnia and suicidal ideation.Results: Of 461 enrolled patients, we observed clinically meaningful psychological anxiety symptoms (in 75/16.3% of patients), depression (122/26.5%), insomnia (154/33.4%), and suicidal ideation (54/11.7%). Commonly reported COVID-19 symptoms are cough/sputum/sneezing (244, 52.9%), headache/dizziness (98, 21.3%), myalgia (113, 24.5%), and sore throat (89, 19.3%). Compared to baseline, significant improvements were found in anxiety, depression, and suicidal ideation at 1 week. No significant group differences in ISI score were observed.Conclusions: COVID-19 symptoms at baseline had a significant and persistent negative impact on anxiety and depression at admission and at 1 week after hospitalization. Early intervention is essential to improve the outcomes of patients with mental illness.

Hematologic and coagulopathy parameter as a survival predictor among moderate to severe COVID-19 patients in non- ICU ward: a single-center study at the main referral hospital in Surabaya, East Java, Indonesia

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217 tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, were significantly different in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univatiate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters were increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly with increasing disease severity. Coronary heart disease is an independent predictor of mortality.

Fitting and predicting trend of COVID-19 by SVEPIUHDR dynamic model

Objective: To fit and predict the trend of COVID-19 epidemics in the United States (USA) and the United Kingdom (UK), and analyze the effect of vaccination. Methods: Based on the SEIR dynamic model, considering the presymptomatic infections, isolation measures, vaccine vaccination coverage, etc., we developed a SEIR with vaccine inoculation, Presymptomatic infectious, unconfirmed infectious, hospital isolation and domiciliary isolation dynamics model. The publicly released incidence data of COVID-19 from November 6, 2020 to January 31, 2021 in USA and from November 23, 2020 to January 31, 2021 in UK were used to fit the model and the publicly released incidence data of COVID-19 from February 1, 2021 to April 1 were used to evaluate the predicting power of the model by software R 4.0.3 and predict changes in the daily new cases in the context of different vaccination coverage. Results: According to the cumulative confirmed cases, the fitting bias and the predicting bias of the SVEPIUHDR model for USA and UK were less than 5%, respectively. From the model prediction results, the cumulative cases after COVID-19 vaccination in USA in early April reached 31 864 970. If there had not had such vaccination, the cumulative cases of COVID-19 would have reached to 35 317 082, with a gap of more than 3.4 million cases. In UK, the cumulative cases of COVID-19 after the vaccination was estimated to be 4 195 538 in early April, compared with 4 268 786 cases if no COVID-19 vaccination had been provided, there would have heen a gap of more than 70 000 cases. Conclusion: SVEPIUHDR model shows a good prediction effect on the epidemic of COVID-19 in both USA and UK.

An IoT Based Health Monitoring System to Tackle COVID-19 in a Contagious Ward of Hospital

l: l: Email:l: Email:l: Regarding the highly contiguous novel coronavirus disease (COVID-19), it is unsafe for health professionals, being involved in a hospital isolation ward. The healthcare workers, stationed in a contagious ward provide relentless monitoring of specific health parameters of those patients. The rate of contagion proportionately depends on the time spent by the health workers in an isolation ward. This challenging task is fairly manageable by employing promising Internet-of-Things (IoT) based autonomous robots (i.e. smart bots) thus reducing the hazards of contamination to health workers. In this research paper, we introduce a smart bot that can periodically measure the health parameters of COVID-19 patients, for instance, body temperature, oxygen saturation levels, blood pressure, respiration rate, heart rate, blood glucose level, etc. The proposed smart bot will transfer from one patient to another in a structured pattern and autonomously collect, forward, store the data of the patients for further analysis. The goal of the work is to involve a significantly inferior number of health workers in contagious wards to control contagion, thus creating stress-free environs for health workers. Moreover, smart bots will offer health professionals to pay attention to non-COVID-19 patients and make things easier for regular health check-ups of individuals in need.

An IoT Based Health Monitoring System to Tackle COVID-19 in a Contagious Ward of Hospital

Regarding the highly contiguous novel coronavirus disease (COVID-19), it is unsafe for health professionals, being involved in a hospital isolation ward. The healthcare workers, stationed in a contagious ward provide relentless monitoring of specific health parameters of those patients. The rate of contagion proportionately depends on the time spent by the health workers in an isolation ward. This challenging task is fairly manageable by employing promising Internet-of-Things (IoT) based autonomous robots (i.e. smart bots) thus reducing the hazards of contamination to health workers. In this research paper, we introduce a smart bot that can periodically measure the health parameters of COVID-19 patients, for instance, body temperature, oxygen saturation levels, blood pressure, respiration rate, heart rate, blood glucose level, etc. The proposed smart bot will transfer from one patient to another in a structured pattern and autonomously collect, forward, store the data of the patients for further analysis. The goal of the work is to involve a significantly inferior number of health workers in contagious wards to control contagion, thus creating stress-free environs for health workers. Moreover, smart bots will offer health professionals to pay attention to non-COVID-19 patients and make things easier for regular health check-ups of individuals in need.

Pain and satisfaction: the case of isolated COVID-19 patients of Pakistan.

BackgroundOver 3 million people lost their lives across the globe due to the COVID-19 related pandemic. The unprecedented restrictions on mobility have imposed in the form of isolation, quarantines, and lockdowns to curb the profound effects of the pandemic and retain physical health. This study examined the relationship between various pain levels, demographic variables and patient satisfaction with COVID-19 during isolation.MethodsThe primary data in this study were collected from isolated patients during their isolation and treatment in a public hospital. We obtained information from patients with COVID-19 (N = 100) about their demographic characteristics, varying levels of pain, and satisfaction with the services provided during the isolation period. We computed the descriptive statistics to explain the profile of participants, ANOVA was used to find out the difference between various groups on patient satisfaction, and structural equation modeling was performed to examine the link between pain levels, demographic factors, and patient satisfaction. This analysis was performed with STATA and SmartPLS-3.ResultsThe findings of this study ascertained that respondent’s education (Beta, β = 2.961, p = 0.003), assets such as possession of a house (β = 4.563, p = 0.000), perception of income adequacy during the lockdown (=2.299, p = 0.022), and negligence in prevention (β = 1.975, p = 0.049) significantly affects patient satisfaction during the isolation period. Moreover, satisfaction with life, physicians and medicine, income adequacy, and fear of the participants was significantly linked to the pain level (Model F-stat = 86.323, p = 0.0001). Patients who were satisfied with their treatment had significantly lower odds of having pain (OR 0.023, 95% CI [0.001–0.0452]). Patients who had enough income to meet their basic necessities were found to have significantly lower odds of having pain (OR 0.155, 95% CI [0.032–0.740].Discussion and ConclusionWe conclude that a higher level of education, low income, and living in a rented house contributes significantly to the feeling of more satisfaction with the provided services. This implies that people with more affluent backgrounds are less likely to be satisfied with the provided services as low-income and living in rented house groups are more satisfied during isolation than others. The pain level is also affected by subjective factors such as fear and satisfaction which need to be considered while doing patient management. This study can be helpful in improving the delivery of public services of isolation centers by considering various characteristics and demographic factors of patients.

No Spread of SARS-CoV-2 From Infected Symptomatic Children to Parents: A Prospective Cohort Study in a Controlled Hospital Setting.

Introduction: The transmission rates severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from children to adults are unclear due to a lack of controlled conditions.Materials and Methods: We investigated the occurrence of SARS-CoV-2 transmission among 12 discordant child-parent pairs in our ward. In each hospital isolation room, caregivers and children lived in close contact during the entire hospitalization period.Results: A total of 136 swab-positive children (mean age, 3.6 ± 4.9 median age, 1; IQR 0–6.2, range 0.1–17) attended by their caregivers were hospitalized. Of those, 12/136 (8.8%, mean age, 6.1 ± 5.3 median age, 4.5) were attended by caregivers who were swab and serology negative at admission despite previous close contact with positive children at home. Three children were completely dependent on their mothers, one of whom was being breastfed. The mean duration of overall exposure to the index case was 20.5 ± 8.2 days.Conclusion: None of the infected children transmitted SARS-CoV-2 infection to their caregivers, raising the hypothesis of a cluster of resistant mothers or of limited transmission from children to adults despite prolonged exposure and close contact. These data might provide reassurance regarding school openings and offer the chance of investigating SARS-CoV-2 variants in the future under the same quasi-experimental conditions.