Healthcare workers novel coronavirus (nCOVID 19) life-threatening situation during the pandemic

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1222-1225
Author(s):  
Shweta Dadarao Parwe ◽  
Avinash Sukhdeorao Ingle ◽  
Milind Abhimanyu Nisargandha ◽  
Bharat Rathi

Healthcare workers (HCWs) are the professional workers directly acquired infection during this coronavirus outbreak. Coronavirus potentially severe acute respiratory infection caused by nCOVID-19 has been declared by pandemic on 11th March 2020 by Word health organisation (WHO). The previous study has reported high susceptibility of respiratory infection in the HCWs. The HCWs are at increased risk for severe respiratory syndrome coronavirus infection. The spread of coronavirus became global public health event, threatening physical and Mental Health of HCWs. This study reviews the possible risk factors for being infected HCWs and avoid transmission of infection at the workplace. Spreading the coronavirus day by day is the life-threatening condition for Health care workers during a pandemic. The community should understand the HCW’s increased responsibility during this public health emergency and must provide the necessary social support as well. There should be enough protective and preventive measures for avoiding transmission in HCWs. Apart from heavy duties HCWs while using PPEs they also have physical and mental exhaustion along with the fear produced out of risk-specific exposures. 

2020 ◽  
pp. 62-69
Author(s):  
Praveen Kumar Gupta ◽  
B. S. Rithu ◽  
Kauser Banu ◽  
A. Shruthi ◽  
C. Sahana

SARS COV 2 (severe acute respiratory syndrome corona virus 2) has created a global health emergency worldwide due to public health crisis and life-threatening situation. According to a recent study it has been reported that the virus was found originated in animal and transmitted to humans through a food chain. First case was reported in Wuhan-china on December 2019, In this review we have enlightened on different aspects of novel coronavirus 2019 and measure to combat the battle against the novel corona virus 2019.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 977-982
Author(s):  
Mohamed J. Saadh ◽  
Bashar Haj Rashid M ◽  
Roa’a Matar ◽  
Sajeda Riyad Aldibs ◽  
Hala Sbaih ◽  
...  

SARS-COV2 virus causes Coronavirus disease (COVID-19) and represents the causative agent of a potentially fatal disease that is of great global public health concern. The novel coronavirus (2019) was discovered in 2019 in Wuhan, the market of the wet animal, China with viral pneumonia cases and is life-threatening. Today, WHO announces COVID-19 outbreak as a pandemic. COVID-19 is likely to be zoonotic. It is transmitted from bats as intermediary animals to human. Also, the virus is transmitted from human to human who is in close contact with others. The computerized tomographic chest scan is usually abnormal even in those with no symptoms or mild disease. Treatment is nearly supportive; the role of antiviral agents is yet to be established. The SARS-COV2 virus spreads faster than its two ancestors, the SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), but has lower fatality. In this article, we aimed to summarize the transmission, symptoms, pathogenesis, diagnosis, treatment, and vaccine to control the spread of this fatal disease.


2020 ◽  
Author(s):  
Helmi Zakariah ◽  
Fadzilah bt Kamaluddin ◽  
Choo-Yee Ting ◽  
Hui-Jia Yee ◽  
Shereen Allaham ◽  
...  

UNSTRUCTURED The current outbreak of coronavirus disease 2019 (COVID-19) caused by the novel coronavirus named SARS-CoV-2 has been a major global public health problem threatening many countries and territories. Mathematical modelling is one of the non-pharmaceutical public health measures that plays a crucial role for mitigating the risk and impact of the pandemic. A group of researchers and epidemiologists have developed a machine learning-powered inherent risk of contagion (IRC) analytical framework to georeference the COVID-19 with an operational platform to plan response & execute mitigation activities. This framework dataset provides a coherent picture to track and predict the COVID-19 epidemic post lockdown by piecing together preliminary data on publicly available health statistic metrics alongside the area of reported cases, drivers, vulnerable population, and number of premises that are suspected to become a transmission area between drivers and vulnerable population. The main aim of this new analytical framework is to measure the IRC and provide georeferenced data to protect the health system, aid contact tracing, and prioritise the vulnerable.


2021 ◽  
Author(s):  
Xukai Jiang ◽  
Nitin A. Patil ◽  
Mohammad A. K. Azad ◽  
Hasini Wickremasinghe ◽  
Heidi Yu ◽  
...  

Multidrug-resistant Gram-negative bacteria have been an urgent threat to global public health. Novel antibiotics are desperately needed to combat these 'superbugs'.


2021 ◽  
Vol 13 ◽  
Author(s):  
Sabitha Vadakedath ◽  
Venkataramana Kandi ◽  
Tarun Kumar Suvvari ◽  
L V Simhachalam Kutikuppala ◽  
Vikram Godishala ◽  
...  

: The novel Coronavirus (SARS-CoV-2) that has emerged and spread throughout the world causing CoV disease-19 (COVID-19) has since its discovery affected not only humans and animals but also the environment. Because of the highly infectious nature of the virus, and the respiratory aerosol transmission route, face masks and personal protective equipment have become mandatory for public and healthcare workers, respectively. Also, the complex nature of the pathogenicity of the virus, wherein, it has been associated with mild, moderate, and severe life-threatening infections, has warranted increased laboratory testing and placing the infected people in isolation and under constant observation in quarantine centers or at dedicated hospitals. Some infected people, who are generally healthy, and do not show symptoms have been placed in home quarantines. At this juncture, there has been increased amount of biomedical waste (BMW), and infectious general waste along with plastic disposable recyclable and non-recyclable waste. The increased BMW along with the potentially hazardous plastic waste collection, segregation, transport, and disposal has assumed increased significance during the ongoing pandemic. Therefore, this review attempts to investigate the current scenario of BMW management and strategies to minimize BMW and prevent potential environmental pollution.


2021 ◽  
Vol 15 (03) ◽  
pp. 366-369
Author(s):  
Rooh Ullah ◽  
Muhammad Suleman Rana ◽  
Mehmood Qadir ◽  
Muhammad Usman ◽  
Niaz Ahmed

Pandemic of novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections in China is now become global public health crisis. At present 87.64% of the world is infected by this deadly illness. The risk from this epidemic depends on the nature of the virus, including how well it transmits from person to person, and the complications resulting from this current illness. The novel coronavirus has killed thousands of people in China and other countries as well; its rate of mortality is increasing day by day. There is an urgent need to control the virus by developing vaccine or any other antiviral drugs to save the world from this deadly viral infection.


2019 ◽  
Vol 242 (1) ◽  
pp. T95-T104 ◽  
Author(s):  
Johan G Eriksson

Type 2 diabetes (T2D) is a major, rapidly increasing global public health challenge. The major risk factors for T2D include overweight and obesity, lifestyle-related factors and genetic factors. Early life exposures shape the developmental trajectories and alter susceptibility to T2D. Based on epidemiological studies it has been suggested that fetal undernutrition plays a role in the etiology of T2D. A low birth weight has been considered a proxy for fetal undernutrition. A meta-analysis reported that a 1 kg increase in birth weight is associated with a roughly 20% lower risk of T2D. Although fetal life is of major importance for future health, the period spanning the first 1000 days of life, is characterized by great plasticity and largely influencing later health. Different growth trajectories during this time period have also been associated with an increased risk of T2D. Studies assessing the association between age at BMI rebound in childhood and later risk for T2D have reported a fivefold difference in T2D according to age at BMI rebound. Developmental and epidemiological cohort studies focusing on T2D have major public health implications supporting a paradigm shift; a shift from focusing upon risk factor modification in adult life to adopting a life course perspective when studying T2D. This paradigm shift will not only help us in getting a better understanding of the pathophysiology underlying T2D, but it will also open new possibilities and opportunities in the prevention of T2D and related disorders.


2021 ◽  
Author(s):  
Edward S. Dove ◽  
Ruby Reed-Berendt ◽  
Manish Pareek

The aim of UK-REACH (“The United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers”) is to understand if, how, and why healthcare workers (HCWs) in the UK from ethnic minority groups are at increased risk of poor outcomes from COVID-19. In this article, we present findings from Work Package 3, the ethico-legal stream, which undertook qualitative research seeking to understand and address legal, ethical, and social acceptability issues around data protection, privacy, and information governance associated with the linkage of HCWs’ registration data and healthcare data. We interviewed 22 key opinion leaders in healthcare and health research from across the UK in two-to-one semi-structured interviews. Transcripts were manually coded using qualitative thematic analysis. Participants told us that a significant implication across all stages of Big Data research in public health are drivers of mistrust – of the research itself, research staff and funders, and broader concerns of mistrust within participant communities, particularly in the context of COVID-19 and those situated in more marginalised community settings. However, despite the challenges, participants also identified ways in which legally compliant and ethically informed approaches to research can be crafted to mitigate or overcome mistrust and establish confidence in Big Data public health research. Overall, our research indicates that a “Big Data Ethics by Design” approach can help assure 1) that meaningful engagement is taking place and that extant challenges are addressed, and 2) that any new challenges or hitherto unknown unknowns can be rapidly and properly considered to ensure potential (but material) harms are identified and minimised where necessary. Our findings indicate such an approach, in turn, will help drive better scientific breakthroughs that translate into medical innovations and effective public health interventions, which benefit the publics studied.


Author(s):  
Ziad Sabaa-Ayoun

The rise of the novel coronavirus disease 2019 (COVID-19) caused unprecedented public health responses worldwide. To prevent hospitals from oversaturating, nations are restructuring their healthcare systems to prioritize limited resources and care for the treatment of COVID-19-infected patients. The Italian healthcare system, for example, converted numerous hospital services to Intensive Care Units, redeployed physicians to short-staffed centers, and centralized medical services to a small number of hospitals to meet the pandemic’s demands. While this restructuring served the nation’s short-term healthcare needs, it impeded access to care for non-COVID-19 patients suffering from acute or chronic non-communicable diseases, such as strokes. These patients are at increased risk of long-term disability and poorer adherence to management plans and have an increased likelihood of disease recurrence. This commentary discusses the ethical dilemma surrounding the necessary healthcare restructuring and unintended impairment of care to non-infected patients. It also explores the need for national public health officials to reassess strategies employed during the pandemic and their need to focus on creating ethical frameworks for maximizing equitable care.


2021 ◽  
pp. 088626052110435
Author(s):  
Yingying Su ◽  
Carl D’Arcy

Interpersonal violence around pregnancy is of increasing global public health concern affecting both women themselves and their children. The primary aim of this study is to explore and identify potential correlates of such violence and to examine maternal and birth outcomes subsequent to that violence in a nationally representative sample of urban and rural women in Canada. The data are from the Maternity Experiences Survey (MES), a Canadian population-based postcensus survey administered to 6,421 Canadian mothers in 2006. Survey participants were 15 years and older and had given birth to a singleton and continued to live with their infant at the time of the survey. The survey response rate was 78%. Multivariable logistic regression analyses were used in the analysis with adjustments made for confounding variables. The study findings indicated that living in an urban environment was associated with an increased risk of interpersonal violence experience around the time of pregnancy ( OR = 1.31, 95% CI: 1.03-1.66). In addition, being aboriginal, young, unmarried, economically disadvantaged, a nonimmigrant, and having more than four pregnancies, as well as cigarette smoking, alcohol drinking and drug use before the pregnancy were correlated with interpersonal violence around pregnancy. Maternal interpersonal violence experiences were also associated with postnatal depression and stressful life events among both urban and rural mothers. However, maternal interpersonal violence experiences were only associated with preterm birth among rural mothers but not among urban mothers. The present study highlights the need to implement effective interventions for women experiencing interpersonal violence around pregnancy due to its potential impact on maternal and newborn’s physical and mental health. Screening and intervention should be targeted high-risk women particularly those who are indigenous, young, unmarried, nonimmigrants, of lower socioeconomic status, and manifesting high risk health behaviors.


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