Infectious and Contagious Diseases

2020 ◽  
pp. 298-312
Author(s):  
Norbert W. Dunkel ◽  
Eugene L. Zdziarski ◽  
J. Michael Rollo
Keyword(s):  
Contagious Diseases

Are you at risk? Perceptions of vulnerability to contagious and non-contagious diseases

2011 ◽  
Author(s):  
Camille D. Basilio ◽  
Kelli Byrnes ◽  
Angela G. Pirlott ◽  
Virginia S. Y. Kwan ◽  
Leona S. Aiken
Keyword(s):  
At Risk ◽  
Risk Perceptions ◽  
Contagious Diseases

Increasing Awareness about Contagious Diseases through Information Campaigns in Romania

2018 ◽  
Vol 9 (1) ◽  
pp. 77-86
Author(s):  
Laura Marcu
Keyword(s):  
Empirical Study ◽  
Everyday Life ◽  
Sources Of Information ◽  
Information Campaigns ◽  
Contagious Diseases ◽  
The Future

Abstract The article presents an analysis of the awareness of the population about the kinds of contagious diseases to which it is exposed, as well as ways to prevent known and applied in everyday life. Presentation exposes results of a survey in the Dambovita county of Romania and tries to explain it by reference to information campaigns on contagious diseases. The empirical study reveals the main contagious diseases known and those less known by people, the favourite sources of information, the main measures of prevention known and applied by individuals. Finally some considerations are made regarding the future organization of information campaigns in this area.

Spread of Contagious Diseases in Heterogenous Population

2019 ◽  
Vol 10 (1) ◽  
pp. 146-150
Author(s):  
D. Muthuramakrishnan ◽  
A. Martin
Keyword(s):  
Contagious Diseases ◽  
Heterogenous Population

Development of transportation types and their usage on caravan roads in middle ages

2020 ◽  
Vol 3 (2) ◽  
pp. 19-23
Author(s):  
Jahongir Yunusugli Ergashev
Keyword(s):  
Middle Ages ◽  
Transport System ◽  
Geographical Location ◽  
Economic Relations ◽  
Trade Relations ◽  
Contagious Diseases ◽  
Sand Storm ◽  
Natural Climate ◽  
Daily Load ◽  
Daily Distance

During the existence of the Bukhara khanate, the economic and trade relations with neighboring countries on the territory of Central Asia have been largely based on transport system of the old network of roads. Along with the formation and development of communication routes, transportation vehicles also improved based on the natural climate and geographical location of different regions.  In the following article the info is given on the means of the transport used in the caravan routes in the trade-economic relations of khanate of Bukhara with neighboring countries in medieval times. Included there, the starting of domestication and usage of horse drawn vehicles, camels, donkeys and others, the capacity of daily load of camels, horses, donkeys which were core of caravans, their daily distance, the necessary tasks in the incidents occurred in caravan routes (injuries, bruises, contagious diseases) the stopping regulation of caravans (sand storm, in heat and frost) is thoroughly analyzed.

The Mortality Rate of COVID-19 in Iraq Compare with Iran and Turkey, its Association with the Bacillus Calmette-Guerin (BCG) vaccine and the Iraqi Preparedness Plan Prior to Pandemics. (Preprint)

2020 ◽  
Author(s):  
Rawand Essa
Keyword(s):  
Middle East ◽  
Mortality Rate ◽  
Daily Basis ◽  
Bcg Vaccine ◽  
Critical Position ◽  
Preparedness Plan ◽  
Contagious Diseases ◽  
History Of ◽  
The Government

BACKGROUND In the span of COVID-19, the mortality rate has been different from one country to another. As a country in the Middle East Iraq has a critical position, lies between Iran and Turkey while both countries coronavirus cases increase on daily basis, while Iranian mortality rate record is high similar to Turkey. After Wuhan city of China, Lombard of Italy, Qum city in Iran has the highest number of COVID-19 as a first country in the Middle East. OBJECTIVE aim of this study is to show the effect of BCG vaccine during pandemic diseases, especially nowadays at the time of COVID-19. One of the crucial observations is the government preparedness and strategic planning prior pandemics, in which the BCG vaccine is an attenuated live vaccine for control of tuberculosis (TB). BCG vaccine has a non-specific immune effect that is used against pathogens like bacteria and viruses, through the promotion of pro-inflammatory cytokines' secretion. METHODS An epidemiological study has been performed, and it shows that some countries are more prone to contagious diseases like COVID-19, regardless of the main cultural, religious, societal similarities among the three mentioned countries. The information data has been collected from WHO reports and worldometer in 18 February 2020 to 10 May 2020. Regarding the efficacy of the BCG vaccine, relevant data has been retrieved from Google scholar, Pub-med and BCG world-atlas. RESULTS COVID-19 mortality rates are at peak in Iran and Turkey while the mortality rate is very low in Iraq, while the patients that died in Iraq all had history of other long-term diseases as heart disease, blood pressure, cancer etc. CONCLUSIONS From the experiences of the three countries in the life span of COVID-19, the historical plan of BCG vaccine in Iraq in cooperation with WHO since the last decades it shows that COVID-19 mortality rate is lower than other countries due to the early vaccination of the Iraqis, otherwise Iraq is more fragile than Iran and Turkey due to the poor conditions of Iraq in terms of economics, politics, war and other aspects.

scholarly journals Towards human distance estimation using a thermal sensor array

2021 ◽  
Author(s):  
Abdallah Naser ◽  
Ahmad Lotfi ◽  
Joni Zhong
Keyword(s):  
High Resolution ◽  
Independent Living ◽  
Sensor Array ◽  
Distance Estimation ◽  
Thermal Sensor ◽  
Indoor Environments ◽  
Contagious Diseases ◽  
Novel Approach ◽  
Thermal Cameras ◽  
Distance Estimator

AbstractHuman distance estimation is essential in many vital applications, specifically, in human localisation-based systems, such as independent living for older adults applications, and making places safe through preventing the transmission of contagious diseases through social distancing alert systems. Previous approaches to estimate the distance between a reference sensing device and human subject relied on visual or high-resolution thermal cameras. However, regular visual cameras have serious concerns about people’s privacy in indoor environments, and high-resolution thermal cameras are costly. This paper proposes a novel approach to estimate the distance for indoor human-centred applications using a low-resolution thermal sensor array. The proposed system presents a discrete and adaptive sensor placement continuous distance estimators using classification techniques and artificial neural network, respectively. It also proposes a real-time distance-based field of view classification through a novel image-based feature. Besides, the paper proposes a transfer application to the proposed continuous distance estimator to measure human height. The proposed approach is evaluated in different indoor environments, sensor placements with different participants. This paper shows a median overall error of $$\pm 0.2$$ ± 0.2  m in continuous-based estimation and $$96.8\%$$ 96.8 % achieved-accuracy in discrete distance estimation.

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 Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

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