scholarly journals EMERGING INFECTIOUS DISEASES - A PERSPECTIVE

Author(s):  
Jayakumar K ◽  
Aneen Suresh ◽  
Sony Peter

Infectious diseases continue to impose unpredictable burdens on global health and economies. Therefore, this has become a concern, even in terms of national security.  In this sense, the objective of the present article was to review the role of wild animals as reservoirs and/or dispersers of etiological agents of human infectious diseases in order to compile data on the main wild animals and etiological agents involved in zoonotic outbreaks. The zoonotic threat of these etiological agents and the impact on public health can be enormous as shown by the ongoing epidemic of 2019 novel coronavirus (2019- nCoV) infections. Keywords:  Infection, Emerging, Virus, Epedimiology, Pandemic, COVID

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 86-93
Author(s):  
Dhirajsingh Sumersingh Rajput

Evolution is continuous process of changes in structural and physiological mechanism in living being. Microbes/pathogens can evolve naturally or artificially and become resistant to various medicines. Novel coronavirus is such evolved pathogen of coronavirus group. Enough strong immunity is needed to prevent or survive from COVID-19 pandemic. Ayurveda provides ways for evolving physiological responses to built immunity. Present work is brief attempt to increase insight in this filed.Present review was done based on simple theory of evolution, recent updates regarding prevention of COVID-19, Ayurveda aspect toward infectious diseases and Ayurveda ways towards prevention of infectious diseases with special reference to COVID-19. Person with impaired immunity is more susceptible for COVID-19 and thus immunity is an important preventing factor. Ayurveda Rasayana (rejuvanation) herbs, Yoga exercises, Pranayama (special breathing exercise), daily regimens and personal hygiene guidelines can be helpful strategies in controlling the spread of COVID-19.The preventive aspects of pandemic situations are narrated in Ayurveda with enough details. These ways need to be scientifically explored and refined for precision. As prevention is always better than cure hence Ayurveda ways can be considered for future strategies to avoid pandemics such as COVID-19.  There is great need of research on Ayurveda medicines on COVID-19 like diseases.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1026-1033
Author(s):  
Nivedha Valliammai Mahalingam ◽  
Abilasha R ◽  
Kavitha S

Enormous successes have been obtained against the control of major epidemic diseases, such as SARS, MERS, Ebola, Swine Flu in the past. Dynamic interplay of biological, socio-cultural and ecological factors, together with novel aspects of human-animal interphase, pose additional challenges with respect to the emergence of infectious diseases. The important challenges faced in the control and prevention of emerging and re-emerging infectious diseases range from understanding the impact of factors that are necessary for the emergence, to development of strengthened surveillance systems that can mitigate human suffering and death. The aim of the current study is to assess the awareness of symptomatic differences between viral diseases like COVID-19, SARS, Swine flu and common cold among dental students that support the prevention of emergence or re-emergence. Cross-sectional type of study conducted among the undergraduate students comprising 100 Subjects. A questionnaire comprising 15 questions in total were framed, and responses were collected in Google forms in SPSS Software statistical analysis. The study has concluded that dental students have an awareness of the symptomatic differences between infectious viral disease. The study concluded that the awareness of symptomatic differences between viral diseases like COVID-19, SARS, Swine flu, Common cold is good among the dental students who would pave the way for early diagnosis and avoid spreading of such diseases. A further awareness can be created by regular webinars, seminars and brainstorming sessions among these healthcare professionals.


2021 ◽  
Author(s):  
Victoria J Brookes ◽  
Okta Wismandanu ◽  
Etih Sudarnika ◽  
Justin A Roby ◽  
Lynne Hayes ◽  
...  

Wet markets are important for food security in many regions worldwide but have come under scrutiny due to their potential role in the emergence of infectious diseases. The sale of live wildlife has been highlighted as a particular risk, and the World Health Organisation has called for the banning of live, wild-caught mammalian species in markets unless risk assessment and effective regulations are in place. Following PRISMA guidelines, we conducted a global scoping review of peer-reviewed information about the sale of live, terrestrial wildlife in markets that are likely to sell fresh food, and collated data about the characteristics of such markets, activities involving live wildlife, the species sold, their purpose, and animal, human, and environmental health risks that were identified. Of the 59 peer-reviewed records within scope, only 25% (n = 14) focussed on disease risks; the rest focused on the impact of wildlife sale on conservation. Although there were some global patterns (for example, the types of markets and purpose of sale of wildlife), there was wide diversity and huge epistemic uncertainty in all aspects associated with live, terrestrial wildlife sale in markets such that the feasibility of accurate assessment of the risk of emerging infectious disease associated with live wildlife trade in markets is limited. Given the value of both wet markets and wildlife trade and the need to support food affordability and accessibility, conservation, public health, and the social and economic aspects of livelihoods of often vulnerable people, there are major information gaps that need to be addressed to develop evidence-based policy in this environment. This review identifies these gaps and provides a foundation from which information for risk assessments can be collected.


2021 ◽  
Vol 22 (3) ◽  
pp. 312-321
Author(s):  
J. Tonui ◽  
W. Chepkutto ◽  
J. Rotich

Coronavirus disease 2019 (COVID-19) pandemic began in December 2019 in Wuhan City China where it is believed to have been transmitted to humans from an unknown animal species. The public health, social and economic impact of the pandemic world over is detrimental. Health care providers at the frontline in the fight against COVID-19 are at the greatest risk of infection and so far, many have been infected and some have already died from the disease. Thus, it is imperative that healthcare providers have adequate knowledge of infectious diseases and microbial pathogens to comprehend the scale of risk for better recognition and response. Microbiological concepts of infection prevention and control, hand hygiene and aseptic techniques are essential in slowing down the spread of the virus. COVID-19 has proven that infectious agents can emerge from any region in the world and can spread rapidly with ominous consequences to all humanity. This narrative review discusses the role of college-learnt microbiology in health care provider preparedness for emerging infectious diseases in light of the current pandemic. Keywords: Emerging; Infections; Preparedness; Response; Microbiology; COVID-19; Training


2021 ◽  
Author(s):  
Mario Mastrangelo ◽  
Valentina Baglioni

AbstractNeurological emergencies account for about one-third of the highest severity codes attributed in emergency pediatric departments. About 75% of children with acute neurological symptoms presents with seizures, headache, or other paroxysmal events. Life-threatening conditions involve a minor proportion of patients (e.g., less than 15% of children with headache and less than 5% of children with febrile seizures). This review highlights updated insights about clinical features, diagnostic workup, and therapeutic management of pediatric neurological emergencies. Particularly, details will be provided about the most recent insights about headache, febrile seizures, status epilepticus, altered levels of consciousness, acute motor impairment, acute movement disorders, and functional disorders, as well as the role of diagnostic tools (e.g., neuroimaging, lumbar puncture, and electroencephalography), in the emergency setting. Moreover, the impact of the current novel coronavirus disease2019 (COVID-19) pandemic on the evaluation of pediatric neurologic emergencies will also be analyzed.


The Lancet ◽  
2012 ◽  
Vol 380 (9857) ◽  
pp. 1884-1886 ◽  
Author(s):  
Craig R Janes ◽  
Kitty K Corbett ◽  
James H Jones ◽  
James Trostle

2018 ◽  
Author(s):  
Lewis J Campbell ◽  
Trenton W J Garner ◽  
Giulia Tessa ◽  
Benjamin C Scheele ◽  
Amber G F Griffiths ◽  
...  

Infectious diseases can alter the demography of their host populations, reducing their viability even in the absence of mass mortality. Amphibians are the most threatened group of vertebrates globally, and emerging infectious diseases play a large role in their continued population declines. Viruses belonging to the genus Ranavirus are responsible for one of the deadliest and most widespread of these diseases. To date, no work has used individual level data to investigate how ranaviruses affect population demographic structure. We used skeletochronology and morphology to evaluate the impact of ranaviruses on the age structure of populations of the European common frog (Rana temporaria) in the United Kingdom. We compared ecologically similar populations that differed only in their historical presence or absence of ranavirosis (the acute syndrome caused by ranavirus infection). Our results suggest that ranavirosis may truncate the age structure of R. temporaria populations. One potential explanation for such a shift might be increased adult mortality and subsequent shifts in the life history of younger age classes that increase reproductive output earlier in life. Additionally we constructed population projection models which indicated that such increased adult mortality could heighten the vulnerability of frog populations to stochastic environmental challenges.


2020 ◽  
Author(s):  
Hafsa Bareen Syeda ◽  
Mahanazuddin Syed ◽  
Kevin Wayne Sexton ◽  
Shorabuddin Syed ◽  
Salma Begum ◽  
...  

Background: The novel coronavirus responsible for COVID-19 has caused havoc with patients presenting a spectrum of complications forcing the healthcare experts around the globe to explore new technological solutions, and treatment plans. Machine learning (ML) based technologies have played a substantial role in solving complex problems, and several organizations have been swift to adopt and customize them in response to the challenges posed by the COVID-19 pandemic. Objective: The objective of this study is to conduct a systematic literature review on the role of ML as a comprehensive and decisive technology to fight the COVID-19 crisis in the arena of epidemiology, diagnosis, and disease progression. Methods: A systematic search in PubMed, Web of Science, and CINAHL databases was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines to identify all potentially relevant studies published and made available between December 1, 2019, and June 27, 2020. The search syntax was built using keywords specific to COVID-19 and ML. A total of 128 qualified articles were reviewed and analyzed based on the study objectives. Results: The 128 publications selected were classified into three themes based on ML applications employed to combat the COVID-19 crisis: Computational Epidemiology (CE), Early Detection and Diagnosis (EDD), and Disease Progression (DP). Of the 128 studies, 70 focused on predicting the outbreak, the impact of containment policies, and potential drug discoveries, which were grouped into the CE theme. For the EDD, we grouped forty studies that applied ML techniques to detect the presence of COVID-19 using the patient's radiological images or lab results. Eighteen publications that focused on predicting the disease progression, outcomes (recovery and mortality), Length of Stay (LOS), and number of Intensive Care Unit (ICU) days for COVID-19 positive patients were classified under the DP theme. Conclusions: In this systematic review, we assembled the current COVID-19 literature that utilized ML methods to provide insights into the COVID-19 themes, highlighting the important variables, data types, and available COVID-19 resources that can assist in facilitating clinical and translational research.


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