scholarly journals Algorithm for Preventing the Spread of COVID-19 in Airports and Air Routes by Applying Fuzzy Logic and a Markov Chain

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3040
Author(s):  
Cesar Guevara ◽  
Diego Bonilla
Keyword(s):  
Fuzzy Logic ◽  
Markov Chain ◽  
Infectious Diseases ◽  
Health Problem ◽  
Optimal Performance ◽  
Transport Network ◽  
Air Transport ◽  
Dijkstra’S Algorithm ◽  
Dijkstra's Algorithm ◽  
The World

Since the start of COVID-19 and its growth into an uncontrollable pandemic, the spread of diseases through airports has become a serious health problem around the world. This study presents an algorithm to determine the risk of spread in airports and air routes. Graphs are applied to model the air transport network and Dijkstra’s algorithm is used for generating routes. Fuzzy logic is applied to evaluate multiple demographics, health, and transport variables and identify the level of spread in each airport. The algorithm applies a Markov chain to determine the probability of the arrival of an infected passenger with the COVID-19 virus to an airport in any country in the world. The results show the optimal performance of the proposed algorithm. In addition, some data are presented that allow for the application of actions in health and mobility policies to prevent the spread of infectious diseases.

Infection and immunity

2012 ◽  
Keyword(s):  
Infectious Diseases ◽  
Health Problem ◽  
Cell Biology ◽  
Communicable Diseases ◽  
World Health ◽  
Non Communicable Diseases ◽  
Host Immune Responses ◽  
The World ◽  
Scientific Principles ◽  
Global Status

A key outcome in medical education is the training of doctors to acquire the knowledge and understanding of the basic science that underpins clinical practice. The graduate will be able to apply to medical practice biomedical scientific principles, method and knowledge relating to: anatomy, biochemistry, cell biology, genetics, immunology, microbiology, molecular biology, nutrition, pathology, pharmacology and physiology .’ (Tomorrow’s Doctors 2009, GMC, UK). In this, the last of the themed chapters of questions that map to the Oxford Handbook of Medical Sciences, we will test knowledge of infectious diseases and the host immune responses that counteract them. Despite the shift of the world health problem to non-communicable diseases in recent times (Global status report on non-communicable diseases 2010, World Health Organization), infectious diseases remain a major health problem in many parts of the world. Even in developed countries, epidemics and outbreaks of infections are not infrequent events, pandemics sporadically crop up at the least expected times. In addition, microorganisms constantly evolve to escape the host immune response and to develop resistance to treatments that have been developed. Therefore, we have no choice but to keep up our knowledge and to develop new treatments.

scholarly journals Implementation of Dijkstra Algorithm with React Native to Determine Covid-19 Distribution

SISTEMASI ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 160
Author(s):  
Rosyid Ridlo Al Hakim ◽  
Purwono Purwono ◽  
Yanuar Zulardiansyah Arief ◽  
Agung Pangestu ◽  
Muhammad Haikal Satria ◽  
...  
Keyword(s):  
Information Technology ◽  
Programming Language ◽  
Dijkstra’S Algorithm ◽  
Test Results ◽  
Dijkstra Algorithm ◽  
Dijkstra's Algorithm ◽  
Global Pandemic ◽  
Android Os ◽  
Shortest Distance ◽  
The World

Since Covid-19 was declared a global pandemic because it has spread throughout the world, every effort has been made to help prevent and tackle the transmission of Covid-19, including information technology. Information technology developed to determine the shortest distance for Covid-19 cases around us needs to be developed. This research implements Dijkstra's Algorithm written in the React Native programming language to build a Covid-19 tracking application. The system can display the closest distance with a radius of at least one meter, and the test results can map the nearest radius of 41 meters and the most immediate radius of 147 meters. This system is built for the compatibility of Android OS and iOS applications with React Native programming.

scholarly journals Molecular mechanisms of drugs recommended in COVID-19 treatment

2020 ◽  
Vol 130 (1) ◽  
pp. 61-64
Author(s):  
Katarzyna Walczak ◽  
Anna Makuch-Kocka ◽  
Justyna Ziemińska
Keyword(s):  
Clinical Trials ◽  
Virus Infection ◽  
Infectious Diseases ◽  
Effective Treatment ◽  
Health Problem ◽  
Molecular Mechanisms ◽  
Supportive Treatment ◽  
The Public ◽  
The World ◽  
Polish Society

Abstract The development of an effective treatment for COVID-19 is now one of the main tasks of scientists and doctors from all over the world. The rapidly spreading SARS-CoV2 virus infection is a serious health problem among the public. Similarity of SARSCoV2 to MERS-CoV and SARS-CoV may suggest the effectiveness of COVID-19 treatment with drugs used to fight infections of previously identified Coronaviridae viruses. On the basis of gained experience and new clinical trials, the Polish Society of Epidemiologists and Infectious Diseases Physicians has created guidelines for the treatment of COVID-19. The recommendations concern primary and supportive treatment at different stages of the disease. This article provides a brief review of the molecular mechanisms of drugs currently used in Poland for the treatment of COVID-19.

Organization of restrictive quarantine measures to prevent especially dangerous infections

2020 ◽  
pp. 6-11
Author(s):  
Petr Ilyin
Keyword(s):  
Infectious Diseases ◽  
Clinical Symptoms ◽  
International Health ◽  
World Health ◽  
The World ◽  
History Of ◽  
Entire History ◽  
Health Organization ◽  
Former Ussr ◽  
Health Regulations

Especially dangerous infections (EDIs) belong to the conditionally labelled group of infectious diseases that pose an exceptional epidemic threat. They are highly contagious, rapidly spreading and capable of affecting wide sections of the population in the shortest possible time, they are characterized by the severity of clinical symptoms and high mortality rates. At the present stage, the term "especially dangerous infections" is used only in the territory of the countries of the former USSR, all over the world this concept is defined as "infectious diseases that pose an extreme threat to public health on an international scale." Over the entire history of human development, more people have died as a result of epidemics and pandemics than in all wars combined. The list of especially dangerous infections and measures to prevent their spread were fixed in the International Health Regulations (IHR), adopted at the 22nd session of the WHO's World Health Assembly on July 26, 1969. In 1970, at the 23rd session of the WHO's Assembly, typhus and relapsing fever were excluded from the list of quarantine infections. As amended in 1981, the list included only three diseases represented by plague, cholera and anthrax. However, now annual additions of new infections endemic to different parts of the earth to this list take place. To date, the World Health Organization (WHO) has already included more than 100 diseases in the list of especially dangerous infections.

1+1 > 2: Integration of the Host-directed Traditional Chinese Medicine and the Virus-targeted Modern Medicine in Control of COVID-19

2020 ◽  
Vol 7 (2) ◽  
pp. 89-94
Author(s):  
Jianjun Sun
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Infectious Diseases ◽  
Modern Medicine ◽  
The World ◽  
Plausible Mechanism

The COVID-19 pandemic has caused millions of infections and hundreds of thousands deaths in the world. The pandemic is still ongoing and no specific antivirals have been found to control COVID-19. The integration of Traditional Chinese Medicine with supportive measures of Modern Medicine has reportedly played an important role in the control of COVID-19 in China. This review summarizes the evidence of TCM in the treatment of COVID-19 and discusses the plausible mechanism of TCM in control of COVID-19 and other viral infectious diseases.

scholarly journals Tourism, Transport and Climate Change: The Carbon Footprint of International Air Traffic on Islands

2021 ◽  
Vol 13 (4) ◽  
pp. 1795
Author(s):  
Pedro Dorta Antequera ◽  
Jaime Díaz Pacheco ◽  
Abel López Díez ◽  
Celia Bethencourt Herrera
Keyword(s):  
Climate Change ◽  
Carbon Footprint ◽  
Canary Islands ◽  
Fossil Fuels ◽  
Average Distance ◽  
Ghg Emissions ◽  
Relative Weight ◽  
Air Transport ◽  
Small Islands ◽  
The World

Many small islands base their economy on tourism. This activity, based to a large extent on the movement of millions of people by air transport, depends on the use of fossil fuels and, therefore, generates a large amount of greenhouse gas (GHG) emissions. In this work, these emissions are evaluated by means of various carbon calculators, taking the Canary Islands as an example, which is one of the most highly developed tourist archipelagos in the world. The result is that more than 6.4 million tonnes (Mt) of CO2 are produced per year exclusively due to the massive transport of tourists over an average distance of more than 3000 km. The relative weight of these emissions is of such magnitude that they are equivalent to more than 50% of the total amount produced by the socioeconomic activity of the archipelago. Although, individually, it is travelers from Russia and Nordic countries who generate the highest carbon footprint due to their greater traveling distance, the British and German tourists account for the greatest weight in the total, with two-thirds of emissions.

Sign in / Sign up

Export Citation Format

Share Document