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1.
J Eval Clin Pract ; 2023 May 18.
Article in English | MEDLINE | ID: covidwho-2326878

ABSTRACT

BACKGROUND: The World Health Organization (WHO) kept track of COVID-19 data at country level daily during the pandemic that included the number of tests, infected cases and fatalities. This daily record was susceptible to change depending on the time and place and impacted by underreporting. In addition to reporting cases of excess COVID-19-related deaths, the WHO also provided estimates of excess mortality based on mathematical models. OBJECTIVE: To evaluate the WHO reported and model-based estimate of excess deaths to determine the degree of agreement and universality. METHODOLOGY: Epidemiological data gathered from nine different countries between April 2020 and December 2021 are used in this study. These countries are India, Indonesia, Italy, Russia, United Kingdom, Mexico, the United States, Brazil and Peru and each of them recorded more than 1.5 million deaths from COVID-19 during these months. Statistical tools including correlation, linear regression, intraclass correlation and Bland-Altman plots are used to assess the degree of agreement between reported and model-based estimates of excess deaths. RESULTS: The WHO-derived mathematical model for estimating excess deaths due to COVID-19 was found to be appropriate for only four of the nine chosen countries, namely Italy, United Kingdom, the United States and Brazil. The other countries showed proportional biases and significantly high regression coefficients. CONCLUSION: The study revealed that, for some of the chosen nations, the mathematical model proposed by the WHO is practical and capable of estimating the number of excess deaths brought on by COVID-19. However, the derived approach cannot be applied globally.

2.
Cureus ; 14(6), 2022.
Article in English | EuropePMC | ID: covidwho-1940040

ABSTRACT

Background and objective Several studies have indicated an escalation in the stress and anxiety levels among all sections of the population at large during the ongoing coronavirus disease 2019 (COVID-19) pandemic. In this challenging environment, meditation or yoga can help in maintaining the quality of life. This pilot study aimed to assess the willingness to practice meditation as a tool to manage anxiety, perceived stress levels, and psychological well-being (quality of life) during the COVID-19 pandemic in India. Materials and methods Bivariate and multivariate logistic regression models were employed to characterize the attitude of healthy Indian adults toward meditation as a stress management tool and its impact on psychological well-being. Primary data of 241 participants were collected using Google Forms circulated via email and social media platforms through the snowball sampling technique. The self-reported data on four different psychosocial scales, viz., for anxiety measurement [the Seven-Item Generalized Anxiety Disorder Scale (GAD-7) and Coronavirus Anxiety Scale (CAS)], for stress measurement [Perceived Stress Scale (PSS)], and to quantify well-being levels [the Five-Item World Health Organization Well-Being Index (WHO-5)], along with those on their perception toward meditation were obtained. Results Our findings suggest that the anxiety and perceived stress scores are lower among those practicing some form of relaxation or meditation than those not practicing it, along with those who already report better psychological well-being and perceived stress. The bivariate results indicated that willingness to meditate among those who were practicing some form of meditation and those not mediating significantly differed based on their age, presence of comorbidities, and GAD and PSS levels. The multivariate logistic regression showed that only those individuals aged 35 years and above and those who have some comorbidity symptoms showed a significant level of willingness to opt for meditation. Conclusions In order to attain proper relief from psychological issues during a pandemic situation such as the current one, a more specific remedial module for meditation procedure needs to be devised as an intervention, and it should be kept in mind that age and comorbidity status also play a significant role with respect to individuals' attitude toward meditation as a tool for psychological relief.

4.
Mater Today Proc ; 2021 Dec 17.
Article in English | MEDLINE | ID: covidwho-1783634

ABSTRACT

This article has been withdrawn at the request of the editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.

5.
Front Oncol ; 11: 754838, 2021.
Article in English | MEDLINE | ID: covidwho-1556303

ABSTRACT

PURPOSE: This retrospective observational study examined patients who experienced radiotherapy (RT) interruption during the Wuhan lockdown for the novel coronavirus disease 2019 (COVID-19) pandemic. MATERIALS AND METHODS: The data of all patients whose RT was interrupted during the Wuhan lockdown from January 23 to April 8, 2020 were collected. Patient-, cancer-, and treatment-related characteristics were analyzed, along with interruption time, disease progression type, and survival status. The methods employed in order to compensate for RT interruption were also described. RESULTS: There were altogether 129 cancer patients whose RT was interrupted. Nineteen (14.7%) patients experienced a total interruption time of at most 7 days; the interruption time was 8-14 days for 27 (20.9%) patients, and 15 or more days for 47 (36.4%) patients. The remaining 36 (27.9%) patients did not come back to our hospital for further RT. We first describe our experience with re-immobilization and/or re-planning (n = 17) as well as dose compensation/adjustment. Of the 40 definitive radiotherapy patients, 37 had squamous cell carcinoma of nasopharyngeal, lung, or cervical origin. Most patients (85/93, 91.4%) were followed up for more than one year. Among the 40 patients who received definitive radiotherapy, nine patients experienced disease progression and five patients died. Three of the seven (42.9%) patients who did not finish radiotherapy after interruption died, as compared to only two of the 33 (6.1%) patients who completed radiotherapy. EQD2 (equivalent dose in 2 Gy fractions) at the time point of RT interruption was calculated. Five of the six patients (83.3%) who received EQD2 ≤10 Gy suffered from disease progression, compared with four of the 34 (11.8%) patients who received EQD2 >10 Gy. For the seven definitive radiotherapy cases who did not finish radiotherapy, three received systemic anti-cancer treatments and three died (all of whom did not receive further systemic therapies). CONCLUSIONS: This study provides the longest follow-up for the outcomes of RT interruption during COVID-19 pandemic to date. It cannot imply causation but implies that completing RT is important, along with the utility of having patients remain on systemic therapies if RT is to be interrupted.

6.
PLoS One ; 16(9): e0257429, 2021.
Article in English | MEDLINE | ID: covidwho-1440987

ABSTRACT

BACKGROUND: The COVID-19 pandemic has brought to light the lacunae in the preparedness of healthcare systems across the globe. This preparedness also includes the safety of healthcare providers (HCPs) at various levels. Sudden spread of COVID-19 infection has created threatening and vulnerable conditions for the HCPs. The current pandemic situation has not only affected physical health of HCPs but also their mental health. OBJECTIVE: This study aims to understand the prevalence and severity of secondary traumatic stress, optimism parameters, along with states of mood experienced by the HCPs, viz., doctors, nurses and allied healthcare professionals (including Physiotherapist, Lab technicians, Phlebotomist, dieticians, administrative staff and clinical pharmacist), during the COVID-19 lockdown in India. METHODOLOGY: The assessment of level of secondary traumatic stress (STS), optimism/pessimism (via Life Orientation Test-Revised) and current mood states experienced by Indian HCPs in the present COVID-19 pandemic situation was done using a primary data of 2,008 HCPs from India during the first lockdown during April-May 2020. Data was collected through snow-ball sampling technique, reaching out to various medical health care professionals through social media platforms. RESULT: Amongst the study sample 88.2% of doctors, 79.2 of nurses and 58.6% of allied HCPs were found to have STS in varying severity. There was a female preponderance in the category of Severe STS. Higher optimism on the LOTR scale was observed among doctors at 39.3% followed by nurses at 26.7% and allied health care professionals 22.8%. The mood visual analogue scale which measures the "mood" during the survey indicated moderate mood states without any gender bias in the study sample. CONCLUSION: The current investigation sheds light on the magnitude of the STSS experienced by the HCPs in the Indian Subcontinent during the pandemic. This hitherto undiagnosed and unaddressed issue, calls for a dire need of creating better and accessible mental health programmes and facilities for the health care providers in India.


Subject(s)
Compassion Fatigue/psychology , Health Personnel/psychology , Optimism/psychology , Anxiety/epidemiology , COVID-19/epidemiology , Communicable Disease Control , Compassion Fatigue/epidemiology , Female , Humans , India/epidemiology , Male , Mental Health , Pandemics , Prevalence , SARS-CoV-2/pathogenicity , Severity of Illness Index , Stress, Psychological/epidemiology , Surveys and Questionnaires
7.
Chem Eng J ; 416: 129152, 2021 Jul 15.
Article in English | MEDLINE | ID: covidwho-1114393

ABSTRACT

The emergence of COVID-19 pandemic has severely affected human health and world economies. According to WHO guidelines, continuous use of face mask is mandatory for personal protection for restricting the spread of bacteria and virus. Here, we report a 3-ply cotton-PLA-cotton layered biodegradable face-mask containing encapsulated phytochemicals in the inner-filtration layer. The nano-fibrous PLA filtration layer was fabricated using needleless electrospinning of PLA & phytochemical-based herbal-extracts. This 3-layred face mask exhibits enhanced air permeability with a differential pressure of 35.78 Pa/cm2 and superior bacterial filtration efficiency of 97.9% compared to conventional face masks. Close-packed mesh structure of the nano-fibrous mat results in effective adsorption of particulate matter, aerosol particles, and bacterial targets deep inside the filtration layer. The outer hydrophobic layer of mask exhibited effective blood splash resistance up to a distance of 30 cm, ensuring its utilization for medical practices. Computational analysis of constituent phytochemicals using the LibDock algorithm predicted inhibitory activity of chemicals against the protein structured bacterial sites. The computational analysis projected superior performance of phytochemicals considering the presence of stearic acid, oleic acid, linoleic acid, and Arachidic acid exhibiting structural complementarity to inhibit targeted bacterial interface. Natural cotton fibers and PLA bio-polymer demonstrated promising biodegradable characteristics in the presence of in-house cow-dung based biodegradation slurry. Addition of jaggery to the slurry elevated the biodegradation performance, resulting in increment of change of weight from 07% to 12%. The improved performance was attributed to the increased sucrose content in biodegradation slurry, elevating the bacterial growth in the slurry. An innovative face mask has shown promising results for utilization in day-to-day life and medical frontline workers, considering the post-pandemic environmental impacts.

8.
JNCI Cancer Spectr ; 5(2): pkaa102, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1101856

ABSTRACT

BACKGROUND: Cancer patients with coronavirus disease 2019 (COVID-19) have been reported to have double the case fatality rate of the general population. METHODS: A systematic search of PubMed, Embase, and Cochrane Central was done for studies on cancer patients with COVID-19. Pooled proportions were calculated for categorical variables. Odds ratio (OR) and forest plots (random-effects model) were constructed for both primary and secondary outcomes. RESULTS: This systematic review of 38 studies and meta-analysis of 181 323 patients from 26 studies included 23 736 cancer patients. Our meta-analysis shows that cancer patients with COVID-19 have a higher likelihood of death (n = 165 980, OR = 2.54, 95% confidence interval [CI] = 1.47 to 4.42), which was largely driven by mortality among patients in China. Cancer patients were more likely to be intubated. Among cancer subtypes, the mortality was highest in hematological malignancies (n = 878, OR = 2.39, 95% CI = 1.17 to 4.87) followed by lung cancer (n = 646, OR = 1.83, 95% CI = 1.00 to 3.37). There was no association between receipt of a particular type of oncologic therapy and mortality. Our study showed that cancer patients affected by COVID-19 are a decade older than the normal population and have a higher proportion of comorbidities. There was insufficient data to assess the association of COVID-19-directed therapy and survival outcomes in cancer patients. CONCLUSION: Cancer patients with COVID-19 disease are at increased risk of mortality and morbidity. A more nuanced understanding of the interaction between cancer-directed therapies and COVID-19-directed therapies is needed. This will require uniform prospective recording of data, possibly in multi-institutional registry databases.


Subject(s)
COVID-19/complications , Databases, Factual/statistics & numerical data , Neoplasms/complications , Neoplasms/therapy , Aged , COVID-19/epidemiology , COVID-19/virology , Cerebrovascular Disorders/complications , Female , Hospital Mortality/trends , Humans , Liver Diseases/complications , Lung Diseases/complications , Male , Metabolic Diseases/complications , Middle Aged , Neoplasms/mortality , Pandemics , Renal Insufficiency, Chronic/complications , SARS-CoV-2/physiology
9.
JNCI Cancer Spectr ; 5(1): pkaa103, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-933863

ABSTRACT

The coronavirus disease-2019 (COVID-19) pandemic caused by SARS-CoV-2 has exacted an enormous toll on healthcare systems worldwide. The cytokine storm that follows pulmonary infection is causally linked to respiratory compromise and mortality in the majority of patients. The sparsity of viable treatment options for this viral infection and the sequelae of pulmonary complications have fueled the quest for new therapeutic considerations. One such option, the long-forgotten idea of using low-dose radiation therapy, has recently found renewed interest in many academic centers. We outline the scientific and logistical rationale for consideration of this option and the mechanistic underpinnings of any potential therapeutic value, particularly as viewed from an immunological perspective. We also discuss the preliminary and/or published results of prospective trials examining low-dose radiation therapy for COVID-19.


Subject(s)
COVID-19/radiotherapy , Radiation Dosage , SARS-CoV-2/radiation effects , Virus Internalization/radiation effects , Virus Replication/radiation effects , COVID-19/epidemiology , COVID-19/virology , Cytokines/metabolism , Dose-Response Relationship, Radiation , Host-Pathogen Interactions/radiation effects , Humans , Leukocytes, Mononuclear/metabolism , Leukocytes, Mononuclear/radiation effects , Leukocytes, Mononuclear/virology , Pandemics , Radiotherapy Dosage , SARS-CoV-2/physiology
10.
PLoS One ; 15(10): e0240710, 2020.
Article in English | MEDLINE | ID: covidwho-890180

ABSTRACT

The 2019-Coronavirus (COVID-19) pandemic has had a global impact. The effect of environmental temperature on transmissibility and fatality rate of COVID-19 and protective efficacy of Bacillus Calmette-Guérin (BCG) vaccination towards COVID-19 remains ambiguous. Therefore, we explored the global impact of environmental temperature and neonatal BCG vaccination coverage on transmissibility and fatality rate of COVID-19. The COVID-19 data for reported cases, deaths and global temperature were collected from 31st December 2020 to 3rd April 2020 for 67 countries. Temperature data were split into quartiles for all three categories (minimum temperature, maximum temperature and mean temperature). The impact of three types of temperature data and policy of BCG vaccination on COVID-19 infection was determined by applying the multivariable two-level negative binomial regression analysis keeping daily new cases and daily mortality as outcome. The highest number of cases fell in the temperature categories as following: mean temperature in the second quartile (6°C to 10.5°C), median 26, interquartile range (IQR) 237; minimum temperature in the first quartile (-26°C to 1°C), median 23, IQR 173; maximum temperature in the second quartile (10°C to 16°C), median 27.5, IQR 219. For the minimum temperature category, 28% statistically significant lower incidence was noted for new cases from the countries falling in the second quartile (2°C to 6°C) compared with countries falling in the first quartile (-26°C to 1°C) (incidence rate ratio [IRR] 0.72, 95% confidence interval [CI] 0.57 to 0.93). However, no statistically significant difference in incidence rate was observed for mean temperature categories in comparison to the first quartile. Countries with BCG vaccination policy had 58% less mortality as compared with countries without BCG coverage (IRR 0.42; 95% CI 0.18 to 0.95). Our exploratory study provides evidence that high temperature might not be associated with low transmissibility and countries having neonatal BCG vaccination policy had a low fatality rate of COVID-19.


Subject(s)
BCG Vaccine , Betacoronavirus , Coronavirus Infections/mortality , Coronavirus Infections/transmission , Global Health , Pneumonia, Viral/mortality , Pneumonia, Viral/transmission , Temperature , Vaccination Coverage , Binomial Distribution , COVID-19 , Coronavirus Infections/epidemiology , Coronavirus Infections/virology , Humans , Incidence , Infant, Newborn , Multivariate Analysis , Pandemics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/virology , SARS-CoV-2 , Seasons
12.
J Eval Clin Pract ; 26(6): 1592-1598, 2020 12.
Article in English | MEDLINE | ID: covidwho-793758

ABSTRACT

RATIONALE, AIMS, AND OBJECTIVES: The recent outbreak of coronavirus (COVID-19) has infected around 1 560 000 individuals till 10 April 2020, which has resulted in 95 000 deaths globally. While no vaccine or anti-viral drugs for COVID-19 are available, lockdown acts as a protective public health measures to reduce human interaction and lower transmission. The study aims to explore the impact of delayed planning or lack of planning for the lockdown and inadequate implementation of the lockdown, on the transmission rate of COVID-19. METHOD: Epidemiological data on the incidence and mortality of COVID-19 cases as reported by public health authorities were accessed from six countries based on total number of infected cases, namely, United States and Italy (more than 100 000 cases); United Kingdom, and France (50 000-100 000 cases), and India and Russia (6000-10 000 cases). The Bayesian inferential technique was used to observe the changes (three points) in pattern of number of cases on different duration of exposure (in days) in these selected countries 1 month after World Health Organization (WHO) declaration about COVID-19 as a global pandemic. RESULTS: On comparing the pattern of transmission rates observed in these six countries at posterior estimated change points, it is found that partial implementation of lockdown (in the United States), delayed planning in lockdown (Russia, United Kingdom, and France), and inadequate implementation of the lockdown (in India and Italy) were responsible to the spread of infections. CONCLUSIONS: In order to control the spreading of COVID-19, like other national and international laws, lockdown must be implemented and enforced. It is suggested that on-time or adequate implementation of lockdown is a step towards social distancing and to control the spread of this pandemic.


Subject(s)
COVID-19/epidemiology , Global Health/statistics & numerical data , Quarantine/standards , Social Isolation , Bayes Theorem , COVID-19/prevention & control , Humans , Incidence , Models, Biological , Time Factors
14.
Radiother Oncol ; 148: 203-210, 2020 07.
Article in English | MEDLINE | ID: covidwho-696923

ABSTRACT

The epidemic of Coronavirus Disease 2019 (COVID-19) first broke out in Wuhan in December 2019, and reached its peak in Wuhan in February 2020. It became a major public health challenge for China, and evolved into a global pandemic in March 2020. For radiation oncology departments, the COVID-19 pandemic presents a unique challenge for disease protection and prevention for both patients and staff, owing to the weakened immune systems of cancer patients and the need to deliver timely and uninterrupted radiotherapy. At the Hubei Cancer Hospital, the only hospital in Wuhan that specializes in oncology, we organized an emergency infection control team to lead special efforts to combat COVID-19 during this challenging time. Under its lead, the following measures were implemented in the radiation oncology department: the radiotherapy clinic was divided into different infection control zones with varying levels of protection; special staff and patient infection control training sessions were conducted and appropriate measures deployed; daily symptom testing criteria were implemented for patients undergoing treatment; special rotating schedules and infection control methods were implemented for various staff members such as medical physicists/dosimetrists and radiation therapists; modified radiotherapy workflow and specialized treatment area cleaning and disinfection policies and procedures were designed and executed; and special medical waste disposal methods were implemented. We began treating patients using this new COVID-19 radiotherapy treatment workflow and infection control measures on January 30, 2020. During more than one and a half months of uninterrupted radiation oncology clinical operation through the worst of the Wuhan outbreak, no known COVID-19 infection occurred at our radiotherapy center to our patients or employees. This report may provide valuable information for other radiation oncology departments during this unprecedented public health crisis.


Subject(s)
Betacoronavirus , Coronavirus Infections/prevention & control , Neoplasms/radiotherapy , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , COVID-19 , Cancer Care Facilities/legislation & jurisprudence , China/epidemiology , Coronavirus Infections/epidemiology , Disease Outbreaks , Guidelines as Topic , Humans , Personal Protective Equipment , Pneumonia, Viral/epidemiology , SARS-CoV-2 , Workflow
16.
PLoS One ; 15(5): e0233074, 2020.
Article in English | MEDLINE | ID: covidwho-244944

ABSTRACT

BACKGROUND: The outbreak of coronavirus disease, 2019 (COVID-19), which started from Wuhan, China, in late 2019, have spread worldwide. A total of 5,91,971 cases and 2,70,90 deaths were registered till 28th March, 2020. We aimed to predict the impact of duration of exposure to COVID-19 on the mortality rates increment. METHODS: In the present study, data on COVID-19 infected top seven countries viz., Germany, China, France, United Kingdom, Iran, Italy and Spain, and World as a whole, were used for modeling. The analytical procedure of generalized linear model followed by Gompertz link function was used to predict the impact lethal duration of exposure on the mortality rates. FINDINGS: Of the selected countries and World as whole, the projection based on 21st March, 2020 cases, suggest that a total (95% Cl) of 76 (65-151) days of exposure in Germany, mortality rate will increase by 5 times to 1%. In countries like France and United Kingdom, our projection suggests that additional exposure of 48 days and 7 days, respectively, will raise the mortality rates to10%. Regarding Iran, Italy and Spain, mortality rate will rise to 10% with an additional 3-10 days of exposure. World's mortality rates will continue increase by 1% in every three weeks. The predicted interval of lethal duration corresponding to each country has found to be consistent with the mortality rates observed on 28th March, 2020. CONCLUSION: The prediction of lethal duration was found to have apparently effective in predicting mortality, and shows concordance with prevailing rates. In absence of any vaccine against COVID-19 infection, the present study adds information about the quantum of the severity and time elapsed to death will help the Government to take necessary and appropriate steps to control this pandemic.


Subject(s)
Betacoronavirus , Coronavirus Infections , Linear Models , Pandemics , Pneumonia, Viral , Betacoronavirus/pathogenicity , COVID-19 , Coronavirus Infections/mortality , Global Health , Humans , Pneumonia, Viral/mortality , Quarantine , SARS-CoV-2 , Severity of Illness Index , Time Factors
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