scholarly journals Transportation, Germs, Culture: A Dynamic Graph Model of 2019-nCoV Spread

2020 ◽  
Author(s):  
Xiaofei Yang ◽  
Tun Xu ◽  
Peng Jia ◽  
Han Xia ◽  
Li Guo ◽  
...  
Keyword(s):  
Graph Model ◽  
Emergency Situation ◽  
Contributing Factors ◽  
Dynamic Graph ◽  
Model And Simulation ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Precise Prediction ◽  
Novel Coronavirus ◽  
Major Factors

Since the outbreak of 2019 novel coronavirus (2019-nCoV) at the hardest-hit city of Wuhan, the fast-moving spread has killed over three hundred people and infected more than ten thousands in China1. There are more than one hundred cases outside of China, affecting a dozen of countries globally2. The genome sequence of 2019-nCoV has been reported and fast diagnostic kits, effective treatment as well as preventive vaccines are rapidly being developed3. Initial fast-growing confirmed cases triggered lock-down of Wuhan as well as nearby cities in Hubei Province. Mathematical models have been proposed by scientists around the world to project the numbers of infected cases in the coming days 4,5. However, major factors such as transportation and cultural customs have not been weighed enough. Our model is not set out for precise prediction of the number of infected cases, rather, it is meant for a glance of the dynamics under a public epidemic emergency situation and of different contributing factors. We hope that our model and simulation would provide more insights and perspective information to public health authorities around the globe for better informed prevention and containment solution.

scholarly journals Indoor Environmental Quality in Dwellings and Lifestyle Behaviors during the COVID-19 Pandemic: Russian Perspective

2021 ◽  
Vol 18 (11) ◽  
pp. 5975
Author(s):  
Vladimir Reshetnikov ◽  
Oleg Mitrokhin ◽  
Elena Belova ◽  
Victor Mikhailovsky ◽  
Maria Mikerova ◽  
...  
Keyword(s):  
Public Health ◽  
Medical Students ◽  
Environmental Quality ◽  
Indoor Environmental Quality ◽  
Lifestyle Behaviors ◽  
Contagious Diseases ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Isolation Index ◽  
Novel Coronavirus

The novel coronavirus (COVID-19) outbreak is a public health emergency of international concern, and as a response, public health authorities started enforcing preventive measures like self-isolation and social distancing. The enforcement of isolation has consequences that may affect the lifestyle-related behavior of the general population. Quarantine encompasses a range of strategies that can be used to detain, isolate, or conditionally release individuals or populations infected or exposed to contagious diseases and should be tailored to circumstances. Interestingly, medical students may represent an example of how the COVID-19 pandemic can form new habits and change lifestyle behaviors. We conducted a web-based survey to assess changes in lifestyle-related behavior of self-isolated medical students during the COVID-19 pandemic. Then we analyzed the sanitary-hygienic regulations of the Russian Federation to determine the requirements for healthy buildings. Results showed that during the pandemic, the enforcement of isolation affects medical students’ lifestyle-related behavior and accompanies an increase in non-communicable diseases (NCDs). Indoor environmental quality (IEQ) and healthy buildings are cutting-edge factors in preventing COVID-19 and NCDs. The Russian sanitary-hygienic regulations support improving this factor with suitable requirements for ventilation, sewage, waste management, and disinfection. Herein, assessing isolation is possible through the hygienic self-isolation index.

scholarly journals The Impact of Covid-19 Public Health Policies on Persons with Disability and their Caregivers in Malta

2021 ◽  
Vol 4 (2) ◽  
pp. 25-37
Author(s):  
Andrew Camilleri ◽  
Samantha Pace Gasan ◽  
Andrew Azzopardi
Keyword(s):  
Public Health ◽  
World Health Organisation ◽  
World Health ◽  
Persons With Disabilities ◽  
Health Authorities ◽  
Essential Services ◽  
Public Health Authorities ◽  
Novel Coronavirus ◽  
Restrictive Measures ◽  
The Impact

On March 11, 2020, the World Health Organisation (WHO) declared a global health pandemic, due to the spread of a novel coronavirus, later named “Covid-19”. The spread of Covid-19 led to social isolation, distancing and a number of restrictive measures in Malta.  The aim of this paper is to analyse the impact of Covid-19 and the subsequent restrictive measures on persons with disability and their caregivers and families in Malta. Using thematic analysis, the study found that a variety of impacts ranging from a sense of isolation, lack of essential services being provided, additional difficulties encountered at the place of work and education and measures that were not sufficiently tailored for persons with disability issued by public health authorities. Underlying the additional difficulties brought about by Covid-19, structural difficulties to access essential services as well as ignorance from policy makers and politicians and the added “vulnerable-ization” of persons with disabilities were found to be highly impacting factors that pervade the experience of persons with disabilities and their caregivers.

scholarly journals SARS-CoV-2 and Coronavirus Disease 2019: What We Know So Far

Pathogens ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 231 ◽  
Author(s):  
Firas A. Rabi ◽  
Mazhar S. Al Zoubi ◽  
Ghena A. Kasasbeh ◽  
Dunia M. Salameh ◽  
Amjad D. Al-Nasser
Keyword(s):  
Vaccine Development ◽  
Current Knowledge ◽  
Treatment Options ◽  
The Novel ◽  
Clinical Criteria ◽  
Health Authorities ◽  
Close Relationship ◽  
Public Health Authorities ◽  
Molecular Information ◽  
Novel Coronavirus

In December 2019, a cluster of fatal pneumonia cases presented in Wuhan, China. They were caused by a previously unknown coronavirus. All patients had been associated with the Wuhan Wholefood market, where seafood and live animals are sold. The virus spread rapidly and public health authorities in China initiated a containment effort. However, by that time, travelers had carried the virus to many countries, sparking memories of the previous coronavirus epidemics, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), and causing widespread media attention and panic. Based on clinical criteria and available serological and molecular information, the new disease was called coronavirus disease of 2019 (COVID-19), and the novel coronavirus was called SARS Coronavirus-2 (SARS-CoV-2), emphasizing its close relationship to the 2002 SARS virus (SARS-CoV). The scientific community raced to uncover the origin of the virus, understand the pathogenesis of the disease, develop treatment options, define the risk factors, and work on vaccine development. Here we present a summary of current knowledge regarding the novel coronavirus and the disease it causes.

scholarly journals An interim review of the epidemiological characteristics of 2019 novel coronavirus

2020 ◽  
Vol 42 ◽  
pp. e2020006 ◽  
Author(s):  
Sukhyun Ryu ◽  
Byung Chul Chun
Keyword(s):  
Public Health ◽  
Public Health Emergency ◽  
Control Measures ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Novel Coronavirus ◽  
Epidemiological Characteristics

OBJECTIVES: The 2019 novel coronavirus (2019-nCoV) from Wuhan, China is currently recognized as a public health emergency of global concern.METHODS: We reviewed the currently available literature to provide up-to-date guidance on control measures to be implemented by public health authorities.RESULTS: Some of the epidemiological characteristics of 2019-nCoV have been identified. However, there remain considerable uncertainties, which should be considered when providing guidance to public health authorities on control measures.CONCLUSIONS: Additional studies incorporating more detailed information from confirmed cases would be valuable.

scholarly journals Saliva as a Potential Diagnostic Tool for SARS–CoV-2

2021 ◽  
Vol 10 (27) ◽  
pp. 2029-2033
Author(s):  
Aakriti Khemka ◽  
Manpreet Arora ◽  
Aparna Dave ◽  
Pulin Saluja ◽  
Radhika Rai
Keyword(s):  
Health Sector ◽  
World Health ◽  
Nasopharyngeal Swab ◽  
Antibody Testing ◽  
Diagnostic Modality ◽  
Health Authorities ◽  
Public Health Authorities ◽  
Potential Risk Factors ◽  
Novel Coronavirus ◽  
Health Organization

BACKGROUND COVID 19 has been labelled as a global pandemic by the World Health Organization (WHO). The sudden rise in death toll and devastation associated with it has put the entire infrastructure, economy and health sector to test. The only way for the prevention and control of this infectious disease is rapid and accurate screening of masses. Public Health Authorities mainly use antibody testing in hot spots using a mix of RT-PCR and antibody testing nasopharyngeal and orpharyngeal swabs. Considering the potential risk factors, constraints of time, cost and manpower, mass screening for COVID is not possible through nasopharyngeal and oropharyngeal swabs alone. Hence, to search an alternate method to diagnose for the initial screening of patients is the need of the hour globally. Saliva can also be used as one of the diagnostic modalities for coronavirus, helping in the rapid testing of individuals at home or at hospital. The article intends to explain the evidence regarding the reliability of saliva as a diagnostic specimen in COVID-19 patients and demonstrates the association and potential of detecting novel coronavirus in saliva of patients and how its implication in future can aid in diagnosis as a non - invasive diagnostic modality. KEY WORDS COVID 19, Throat Swab, Nasopharyngeal Swab, Saliva, Diagnostic Fluid

scholarly journals Spreadable Virus of the 21stCentuary: COVID-19

2020 ◽  
Vol 21 (1&2) ◽  
pp. 13-18
Author(s):  
Priya Chaudhary ◽  
Pracheta Janmeda
Keyword(s):  
Treatment Process ◽  
Preventive Measures ◽  
Ground Glass Opacity ◽  
Nasal Discharge ◽  
The Public ◽  
The Third ◽  
Health Authorities ◽  
Public Health Authorities ◽  
The Mean ◽  
Novel Coronavirus

The latest outbreak of a respiratory disease, known as coronavirus disease 19 (COVID-19), is the third virus spillover from animals to humans in the last two decades. The disease is caused by coronavirus and has converted into an epidemic in recent days. It spread via direct contact or droplets of nasal-discharge from one human-to-another within the mean-incubation period of 6.5 days. Dyspnea, cough and fever are the most common symptoms in the patients of COVID-19, though along with diarrhea in 3% cases. Bilateral pulmonary with ground-glass opacity and consolidation has been observed in 98% cases of the disease by the help of computed tomography.  The treatment process of COVID-19 with chloroquine and remdesivir drug is under the clinical trial worldwide and responding well to cure the disease. Under the prevalent circumstances, the main goal is to control the widespread infection of SARS-CoV-2 across the world and to aware the public regarding the possible preventive measures and treatments. However, the public health authorities should keep a close eye on the circumstances strictly, as the more we know about this novel coronavirus and its outbreak, the better we can respond or control the conditions worldwide.

scholarly journals Effectiveness of airport screening at detecting travellers infected with 2019-nCoV

2020 ◽  
Author(s):  
Billy Quilty ◽  
Sam Clifford ◽  
Stefan Flasche ◽  
Rosalind M. Eggo ◽  
Keyword(s):  
Public Health ◽  
Incubation Period ◽  
Control Measures ◽  
Baseline Scenario ◽  
Online Tool ◽  
Health Authorities ◽  
New Information ◽  
Public Health Authorities ◽  
Novel Coronavirus

As the number of novel coronavirus cases grows both inside and outside of China, public health authorities require evidence on the effectiveness of control measures such as thermal screening of arrivals at airports. We evaluated the effectiveness of exit and entry screening for 2019-nCoV infection. In our baseline scenario, we estimated that 46.5% (95%CI: 35.9 to 57.7) of infected travellers would not be detected, depending on the incubation period, sensitivity of exit and entry screening, and the proportion of cases which are asymptomatic. Airport screening is unlikely to detect a sufficient proportion of 2019-nCoV infected travellers to avoid entry of infected travellers. We developed an online tool so that results can be updated as new information becomes available.

scholarly journals Reduction in time delay of isolation in COVID-19 cases in South Korea

2020 ◽  
Author(s):  
Sukhyun Ryu ◽  
Cheolsun Jang ◽  
Baekjin Kim
Keyword(s):  
Public Health ◽  
Time Delay ◽  
South Korea ◽  
Symptom Onset ◽  
The Public ◽  
Mean Delay ◽  
Health Authorities ◽  
Public Health Authorities ◽  
The Mean ◽  
Novel Coronavirus

AbstractKorean public health authorities raised the public alert to its highest level on February 23, 2020 to mitigate the 2019 novel coronavirus disease epidemic. We have identified that the mean delay from symptom onset to isolation was reduced to one day after raising the alert. Vigilance can reduce this interval.

The Role of Community, State, Territorial, and Tribal Public Health in Obesity Prevention

2013 ◽  
Vol 41 (S2) ◽  
pp. 35-39
Author(s):  
Janice K. Sommers ◽  
Claire Heiser
Keyword(s):  
Public Health ◽  
Obesity Prevention ◽  
Systems Approach ◽  
Institute Of Medicine ◽  
Contributing Factors ◽  
Health Authorities ◽  
The People ◽  
Tribal Governments ◽  
Public Health Authorities ◽  
Prevalence Of Obesity

Across the nation, local, state, territorial, and tribal governments are engaged in successful efforts to protect and promote the health of their citizens by supporting healthy eating and active living initiatives. The ten essential services define a role for public health at multiple levels of influence (see Table 1). These functions provide a framework for obesity prevention that is consistent with the systems approach presented by the Institute of Medicine in “Accelerating Progress in Obesity Prevention.”Governmental public health authorities can contribute to public health efforts to address obesity by monitoring prevalence of obesity and association risk factors, investigating the contributing factors, informing the public, and work with the citizens in their jurisdiction to develop solutions that fit the needs and sensibilities of the people.

scholarly journals Sentimental Analysis of COVID-19 Tweets Using Deep Learning Models

2021 ◽  
Vol 13 (2) ◽  
pp. 329-339
Author(s):  
Nalini Chintalapudi ◽  
Gopi Battineni ◽  
Francesco Amenta
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Support Vector ◽  
Health Authorities ◽  
High Prevalence ◽  
Public Health Authorities ◽  
And Performance ◽  
Novel Coronavirus ◽  
False News ◽  
Mining Algorithms

The novel coronavirus disease (COVID-19) is an ongoing pandemic with large global attention. However, spreading false news on social media sites like Twitter is creating unnecessary anxiety towards this disease. The motto behind this study is to analyses tweets by Indian netizens during the COVID-19 lockdown. The data included tweets collected on the dates between 23 March 2020 and 15 July 2020 and the text has been labelled as fear, sad, anger, and joy. Data analysis was conducted by Bidirectional Encoder Representations from Transformers (BERT) model, which is a new deep-learning model for text analysis and performance and was compared with three other models such as logistic regression (LR), support vector machines (SVM), and long-short term memory (LSTM). Accuracy for every sentiment was separately calculated. The BERT model produced 89% accuracy and the other three models produced 75%, 74.75%, and 65%, respectively. Each sentiment classification has accuracy ranging from 75.88–87.33% with a median accuracy of 79.34%, which is a relatively considerable value in text mining algorithms. Our findings present the high prevalence of keywords and associated terms among Indian tweets during COVID-19. Further, this work clarifies public opinion on pandemics and lead public health authorities for a better society.

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