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May 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3344
Identifying the epidemiological characteristics of COVID-19 disease will help to make appropriate decisions and thus control the epidemic. Although many details, such as the source of the virus and its ability to spread between people remain unknown, an increasing number of cases show the signs of human-to-human transmission. The purpose of this review is to introduce the reservoir hosts, and the possible role of distributions of bat coronaviruses in China, and eventually to aim to predict virus natural hotspots and their cross-species transmission potential. Why bats can maintain coronaviruses long-term without showing clinical symptoms of diseases and what is allowing bats to have a higher tolerance against viral diseases. We need to unveil the mystery of unique bat immunity. Although bats are not in close contact with humans, spillover of viruses from bats to intermediate animal hosts like civet is thought to be the most likely mode to cause human infection. It appears that the coffee beans which are a rich source of chlorogenic acid are acting as a reservoir host and causative agent, and at the same time as a defense agent to create resistance in the consumers (bats and animals). It is assumed that the intake of chlorogenic acid should be capable of protecting human from contamination or severe morbidity.
Apr 2020 DOI 10.14302/issn.2691-8862.jvat-20-3306
Introduction The Corona virus (CoVID-19) pandemic has hit the most developed countries and has thence spread to inflict other countries around the world. It is the first pandemic that appears in countries not linked to poverty and poor hygiene. Aim To study the relationship between human development and the pattern of the pandemic caused by the CoVID-19 and to identify development indicators that can be useful in monitoring the pandemic. Methods Data collected included confirmed cases of CoVID-19 by country, number of cases that recovered and cases that died and population density per million in this particular country. The data for this information was obtained from the online data on the daily reports on CoVID-19 from the different countries. Data for the Human Development index (HDI) and the ranking for each country were obtained from the most recent United Nations Development of Populations (UNDP) report for 2019. We analyzed data for 166 countries for which the HDI was available for the date of cases reported online on 27th March, 2020 at midnight. Findings There were significant differences by ANOVA for the confirmed cases of CoVID19 cases and total cases per one million population between the countries in the 4 tier group of Human Development. HDI was significantly correlated with confirmed cases, case density and cases that died from CoVID-19 (P<0.01) for all countries but the significance decreased by tier group. Country ranking was inversely correlated with confirmed cases of CoVID-19 (r-0.25 at P=0.001), CoVID-19 cases per million (r-0.4 at P=0.000) and cases that died from CoVID-19 (r-0.2 at P=0.03). Recovery was not inked to HDI or country ranking. The upper HDI tier groups (very high, high and medium) showed significant correlations with total cases per one million population P<0.05, but no correlation was found with confirmed cases or cases that died or recovered from CoVID-19 P>0.05. Conclusions Total cases of CoVID-19 per one million population seems to be a better indicator of the pandemic. The pattern of spread is closely linked to industry.
Mar 2020 DOI 10.14302/issn.2641-4538.jphi-20-3264
Chinese people have a very good mask-wearing culture; it is normal to wear masks to protect their faces from wind and pollution. Thus, they easily accept the wearing of masks to prevent infectious diseases, as seen with the Corona Virus Disease 2019 (COVID-19) in China today. However, Chinese people have a dangerous eating culture: they share foods or soups from the same bowls and pots using their personal chopsticks/spoons and emphasize loud talking when eating at banquets or at homes. We think this eating culture has raised the infection risk of COVID-19 from person to person by contamination. Therefore, in this paper, we propose models to elucidate how people are infected with COVID-19 through droplet transmission when eating with Chinese cultural context to address the urgent need to change Chinese eating culture; we believe these study models can help not only the Chinese people, but also other national people, to raise mindfulness of public health, prevent COVID-19 and other infectious diseases, at the present pandemic and in the future.
Feb 2022 DOI 10.14302/issn.2470-5020.jnrt-22-4092
Acute disseminated encephalomyelitis (ADEM) is a monophasic, multifocal, demyelinating, autoimmune disease that affects the central nervous system (CNS). It usually occurs after a systemic infection, usually viral, including certain coronavirus infections. A 27-year-old girl presented with complaints of left interscapular pain, paresthesias and weakness in the ipsilateral upper limb. These symptoms followed paresthesias on the fingertips of her right hand the day before her admission. she was treated two weeks earlier for pneumonia with COVID-19. Her clinical pattern resulted in a moderate weakness of the left limbs associated with tactil and algic hypoesthesia in the lower left limb ascending until the C4 level in the left side. Magnetic resonance imaging (MRI) of the brain and spinal cord showed diffuse spontaneous hypersignals on fluid-attenuated inversion recovery (FLAIR) images at the cerebral level and on T2-weighted images at the spinal level. These imaging lesions coupled with the medical history of a recent COVID-19 infection led to the diagnosis of acute disseminated encephalomyelitis (ADEM) post covid-19. The clinical condition improved rapidly with intravenous (IV) corticosteroid therapy and IV immunoglobulin combined with physiotherapy. ADEM is a demyelinating autoimmune disease which is increasingly reported during this current corona virus pandemic.
Dec 2021 DOI 10.14302/issn.2692-1537.ijcv-21-4045
Introduction In December 2019, cases of serious illness causing pneumonia and death were first reported in Wuhan, China.2 The clinical features of Corona Virus Disease-19 (COVID-19) are ranging from asymptomatic to multi organ dysfunction. The disease can progress to pneumonia, respiratory failure and death.4 Thus, a tool is needed that can predict the severity and in-hospital mortality risk of a patient with COVID-19 Pneumonia. The PIRO (predisposition, insult, response, and organ dysfunction) scoring was developed for use in the emergency department to risk stratify sepsis cases.15 Eventually it was adapted in pneumonia cases to predict its severity. Objective To validate PIRO score as an assessment tool for COVID-19 mortality risk among patients with confirmed COVID-19 RT-PCR test among patients aged 19 and above admitted in World Citi Medical Center from March 2020 to August 2020 Methods This study included 93 patients aged 19 and above admitted in World Citi Medical Center with a primary diagnosis of COVID-19 Confirmed with pneumonia between March 2020 to August 2020. The patients’ charts were retrieved from the hospital medical records and case notes were reviewed. A severity assessment score was developed based on PIRO score (Predisposition comorbidities and age; Insult multilobar opacities and viremia; Response shock and hypoxemia; Organ Dysfunciton) were extracted. The patients were stratified in four levels of risk: a)Low,0-2 points; b)Mild,3 points; c)High,4 points; d)Very High,5-8 points. The PIRO score and the clinical outcome were compared. The discriminative ability of PIRO score to predict mortality risk was evaluated under receiver operating characteristic curve (AUC). Results The PIRO score had an excellent predictive ability for in-hospital mortality (AUC0.9197). Analysis of variance showed that higher levels of PIRO scores were significantly associated with higher mortality (p<0.001). Patients with Mild PIRO risk category were 98.65% less likely to expire (p<0.001, 95%CI 0.0015) and High PIRO risk category were 94.47% less likely to expire (p<0.001, 95%CI 0.0124), both compared to patients with Very high PIRO risk category. Finally, Very High PIRO risk category were more than 44 times likely to expire compared to patients with Low, Mild and High PIRO risk category (p<0.001, 95%CI 11.738). Conclusions The PIRO score is a valid risk model that can be used to predict in-hospital mortality, that can help clinicians provide timely and accurate assessment, and hence appropriate management to patients with COVID-19 Pneumonia.
Sep 2021 DOI 10.14302/issn.2693-1176.ijgh-21-3838
COVID-19 also known as Corona Virus is a new strain of Chronic Obstructive Pulmonary disease. While its virology is yet to be properly understood, its impact by way of human deaths is well registered. Stigma of infected persons is least mentioned as a ‘sub-strain’ that can push people into social isolation and exclusion (like in the book of Leviticus 13) leading to COVID-19 Related Depression (C-19RD). Using inter-disciplinary approach, this paper seeks to understand how this can happen in a COVID-stricken world.
Jan 2021 DOI 10.14302/issn.2692-1537.ijcv-20-3383
With the spread of the new coronavirus around the world, governments of various countries have begun to use the mathematical modeling method to construct some virus transmission models assessing the risks of spatial spread of the new coronavirus COVID-19, while carrying out epidemic prevention work, and then calculate the inflection point for better prevention and control of epidemic transmission. This work analyzes the spread of the new coronavirus in China, Italy, Germany, Spain, and France, and explores the quantitative relationship between the growth rate of the number of new coronavirus infections and time. In investigating the dynamics of a disease such as COVID-19, its mathematical representation can be constructed at many levels of details, guided by the questions the model tries to help answer. Mathematical sophistication may have to yield to a more pragmatic approach closer to the ability to make predictions that inform public health policies. Background In December 2019 , the first Chinese patients with pneumonia of unknown cause is China admitted to hospital in Wuhan, Hubei Jinyintan , since then, COVID-19 in the rapid expansion of China Wuhan, Hubei, in a few months time, COVID-19 is Soon it spread to a total of 34 provincial-level administrative regions in China and neighboring countries, and Hubei Province immediately became the hardest hit by the new coronavirus. In an emergency situation, we strive to establish an accurate infectious disease retardation growth model to predict the development and propagation of COVID-19, and on this basis, make some short-term effective predictions. The construction of this model has Relevant departments are helpful for the prevention and monitoring of the new coronavirus, and also strive for more time for the clinical trials of Chinese researchers and the research on vaccines against the virus to eliminate the new corona virus as soon as possible. Methods According to the original data change law, Establish a Logistic growth model, we collect and compare and integrate the spread of COVID-19 in China, Italy, France, Spain and Germany, record the virus transmission trend among people in each country and the protest measures of relevant government departments. Findings Based on the analysis results of the Logistic model model, the Logistic model has a good fitting effect on the actual cumulative number of confirmed cases, which can bring a better effect to the prediction of the epidemic situation and the prevention and control of the epidemic situation. Interpretation In the early stage of the epidemic, due to inadequate anti-epidemic measures in various countries, the epidemic situation in various countries spread rapidly. However, with the gradual understanding of COVI D -19, the epidemic situation began to be gradually controlled, thereby retarding growth
Dec 2020 DOI 10.14302/issn.2474-7785.jarh-20-3682
Background to the Issue Many older adults, including those already suffering from chronically painful disabling osteoarthritis of one or more joints remain more susceptible than healthy age and gender matched adults to the COVID-19 corona virus. Aims This report sought to examine what has been published in 2020 on this health condition from the perspective of the variable of widely imposed social isolation strategies designed to mitigate the spread of this highly infectious disease, and to especially keep older community dwelling adults ‘safe’ from infection. Methods Reviewed were all articles published in 2020 in PUBMED from January 1-December 24, 2020 on osteoarthritis and COVID-19 isolation impacts, plus relevant past osteoarthritis and isolation literature among older adults. The focus was on ascertaining how social isolation and distancing strategies might impact current community-dwelling adults diagnosed with osteoarthritis and whether more should be done specifically to mitigate any potentially preventable ‘socially’ induced negative health impact among this group, in spite of the laudable goals of this public health strategy. Results Older adults with osteoarthritis living in the community who are asked to self-isolate, may incur more osteoarthritis pain and disability than would otherwise be encountered if actions taken to counter this possibility are not forthcoming. Advocated over and above basic care approaches are several psychosocial strategies including the role of mobilizing various forms of social support. Conclusion Data indicate a need for concerted thoughtful and immediate attention to offset isolation, fear, and anxiety and depression effects as part of a carefully devised integrated plan of management to reduce excess osteoarthritis disability, as well as excess COVID-19 risk among otherwise free living older adults already compromised by osteoarthritis.
Dec 2020 DOI 10.14302/issn.2474-7785.jarh-20-3662
Background Most current Corona virus or COVID-19 pandemic deaths have been found to occur among populations older than 65 years of age, who often suffer from the presence of an array of chronic diseases that may be related to a co-occurring vitamin D deficiency. Another factor affecting older adults’ immune response mechanisms is air quality. In turn, air quality can impact the absorption of vitamin D from sunlight sources, a factor which could explain why older people, who are often vitamin D deficient, may be more likely than younger adults or healthy adults to be at risk for COVID-19 and poor outcomes. Aim This work was designed to examine the recent literature on COVID-19, vitamin D and air pollution and what it might imply for public health workers, policy makers, and others. Methods Available data accessed largely from the PUBMED data base for the year 2020 using the key words COVID-19, air pollution, and vitamin D deficiency were sought and selected items were carefully examined and documented in narrative and tabular formats. Results Many publications on COVID-19 prevail, but far fewer focus specifically on vitamin D deficiency and its possible role in explaining COVID-19 global health risk among older adults. A similar, albeit small number of publications, discuss the global pandemics of air pollution and its possible COVID-19 association, as well as its impact on vitamin D production. However, while most related articles support a possible independent as well as a dual role for both factors in COVID-19 the realm of this highly infectious widespread disease, very few actual studies have been conducted to date on any of these topical issues Conclusion More research to examine if vitamin D-based nutrients or supplements may provide some degree of community wide protection against COVID-19 in the older vitamin D populations, especially among those living in highly polluted areas may prove highly valuable. Controlling air pollution emissions globally and locally may also prove to be a highly impactful public health approach to reducing overall COVID-19 risk, and extent, and warrants study.
Sep 2020 DOI 10.14302/issn.2693-1176.ijgh-20-3546
Corona virus disease 2019 (COVID-19) caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) has rapidly evolved as a pandemic with a challenge to the entire world for its management. Various modalities of treatment have been tried till date and when all the modalities failed then the only option that has been shown to be successful in some cases is lung transplantation. Decision for Solid-organ transplantation is not only made based upon its therapeutic requirement but also need to be supported by the law of land. In this regard, current Nepalese law is not with the provision for lung transplantation. Thus, in order to make the concerned authorities aware of it and also as a step toward the preparedness for COVID-19 pandemic, this research has been conducted with an aim to see the perception of health care professionals of tertiary care centre of eastern Nepal regarding the legal aspects of lung transplantation. Conclusion Outcome of this research has supported the therapeutic aspect of transplantation over its legal issue in the emergency conditions like COVID-19 Pandemic.
May 2020 DOI 10.14302/issn.2691-8862.jvat-20-3311
Currently, the emergence of a novel human corona virus, SARS-CoV-2, has become a global health concern causing severe respiratory tract infections in humans. Human-to-human transmissions have been described with incubation times between 2-14 days, facilitating its spread via droplets, contaminated hands or surfaces, resulting in high spread and death rates according to date, time and place of infection. We therefore reviewed the literature on all available information about the treatment of the cases, especially critical cases to decrease the mortality rate, the spread and incubation time of the virus by using the adaptive artificial passive immunity (anti-bodies from fully recovered patients with COVID-19).