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According to the WHO, 90-95% of all infectious diseases are acute respiratory viral infections of various etiologies and influenza. The purpose of the research work is to study some epidemiological characteristics of acute infections of the upper respiratory tract with multiple or uncertain MULAIURT localization during the Covid-19 pandemic in the regions of Baku. Intensive (per 1000 population %) and extensive (0%) indicators of morbidity with acute upper respiratory tract infections were determined in the regions of Baku. During the research period, for the years 2020-2022, in 12 districts of Baku city (Binagadi, Khazar, Garadag, Narimanov, Nasimi, Pirallahi, Nizami, Sabail, Sabunchu, Surakhani, Yasamal, Khatai), statistics on morbidity with acute upper respiratory tract infections data were analyzed, analytical epidemiological analysis of absolute indicators among the population (0-17 years, including 0-1 years, 1-4 years, 5-13 years, 14-17 years and 18 years and older), by gender (women and men), was conducted based on the study of the dynamics of registration by years (2020-2022) and by months (seasonality) within the country. In 2022, the level of infection with MULAIURT in Baku was 2.5 times higher than in 2020. In 2022, the number of cases was already twice as high among both women and men. In 3 years, the incidence rates of MULAIURT were higher in the 18-year-old age group compared to the 0-17 age group. In 2020, the intensity indicator of the incidence of MULAIURT was 29.53 people per 1000 people in Sabail region (2.95%), in 2021 it was 82.29 people per 1000 people in Khazar region (8.22%), in 2022 90.20 people per 1000 people per year was set at the maximum level in Garadag district (9.02%). Binagadi, Khazar and Yasamal regions are the regional risk factor for getting sick with MULAIURT. In 2020, the maximum level of morbidity with MULAIURT was determined in December in Sabunchu district, in December in Khazar district in 2021, and in January in Yasamal district in 2022. [ABSTRACT FROM AUTHOR]

Objective: The high incidence of respiratory diseases has dramatically increased the medical burden under the COVID-19 pandemic in the year 2020. It is of considerable significance to utilize a new generation of information technology to improve the artificial intelligence level of respiratory disease diagnosis. Methods: Based on the semi-structured data of Chinese Electronic Medical Records (CEMRs) from the China Hospital Pharmacovigilance System, this paper proposed a bi-level artificial intelligence model for the risk classification of acute respiratory diseases. It includes two levels. The first level is a dedicated design of the "BiLSTM+Dilated Convolution+3D Attention+CRF" deep learning model that is used for Chinese Clinical Named Entity Recognition (CCNER) to extract valuable information from the unstructured data in the CEMRs. Incorporating the transfer learning and semi-supervised learning technique into the proposed deep learning model achieves higher accuracy and efficiency in the CCNER task than the popular "Bert+BiLSTM+CRF" approach. Combining the extracted entity data with other structured data in the CEMRs, the second level is a customized XGBoost to realize the risk classification of acute respiratory diseases. Results: The empirical study shows that the proposed model could provide practical technical support for improving diagnostic accuracy. Conclusion: Our study provides a proof-of-concept for implementing a hybrid artificial intelligence-based system as a tool to aid clinicians in tackling CEMR data and enhancing the diagnostic evaluation under diagnostic uncertainty. [ABSTRACT FROM AUTHOR]

Copyright of Aktual'naa Infektologia is the property of Zaslavsky O.Yu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Aktual'naa Infektologia is the property of Zaslavsky O.Yu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk factors of acute respiratory diseases were identified in Beijing, China. We conducted age and gender stratified deep neural network models in air pollution epidemiology. We ranked risk factors of respiratory diseases in stratified populations and conducted quantitative comparison. People ≥50 years were more sensitive to PM2.5 pollution than <50 years people, especially women ≥50 years. Compared with women, both men ≥50 years and <50 years were more susceptible to PM10. Young women <50 years were more sensitive to general air pollutants such as SO2 and NO2 than <50 years young men. Meteorological factors such as wind speed and precipitation could promote the diffusion of fine particulate matter and general air pollutants (SO2, NO2, etc.), which could help to reduce the incidence of acute respiratory diseases. This study represents a quantitative analysis of environmental health risk factors identification related to acute respiratory diseases based on deep neural network method. The results of this study could help people to improve their awareness of acute respiratory diseases prevention. [ABSTRACT FROM AUTHOR]

Copyright of Zdorov'ye Rebenka is the property of Zaslavsky O.Yu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Aktual'naa Infektologia is the property of Zaslavsky O.Yu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Aktual'naa Infektologia is the property of Zaslavsky O.Yu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study aimed to investigate the effects of temperature inversions on the concentration of some pollutants in the atmosphere in Hanoi City, Vietnam, during the period from 2011 to 2015. This work also aimed to evaluate relationships between the thermal inversion and health effects that are associated with air pollution. During this period, the temperature inversions were most frequently presenting from November to March in Hanoi City. Air quality data was gathered from air quality monitoring stations located in the study area. The data showed that levels of NO2, SO2, PM10 and PM2.5 increased when the inversions strengthened. Cases of two types of diseases (acute respiratory diseases and cardiovascular diseases), which are linked to atmospheric air pollution, were considered on number of patients under 15 and above 60 years old at National Geriatric Hospital and National Otorhinolaryngology Hospital. There was significant increase in the daily average number of hospital visits with increasing surface-based inversions. The statistical analysis showed that the temperature inversions correlated with concentration of air pollutants and the number of patients in 5 years. [ABSTRACT FROM AUTHOR]

Evidence shows that pulmonary problems in coronavirus disease 2019 (COVID-19) may set off from vascular injury that progresses to physiological disturbances through a compromised gas exchange, following an infection with the severe acute respiratory syndrome coronavirus 2. In this process, inefficient gas exchange in the alveolar could precipitate silent nonclinical hypoxemia. Unfortunately, patients with "silent hypoxemia" do not necessarily experience any breathing difficulty (dyspnea) at the early stage of COVID-19 while the disease progresses. As a result, several asymptomatic, presymptomatic and patients with mild symptoms may escape quarantine measure and thus continue to spread the virus through contacts. Therefore, early diagnosis of "silent hypoxemia", which attracts no clinical warnings, could be an important diagnostic measure to prevent acute respiratory distress syndrome from the risk of pulmonary failure among the presymptomatic and as a screening tool in the asymptomatic who are hitherto potential spreaders of the virus. [ABSTRACT FROM AUTHOR]

Copyright of Zdorov'ye Rebenka is the property of Zaslavsky O.Yu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Respiratory diseases account for about 25% of all pediatric consultations, and 10% of these are for asthma. The other main pediatric respiratory diseases, in terms of incidence, are bronchiolitis, acute bronchitis and respiratory infections. Oral corticosteroids, in particular prednisolone, are often used to treat acute respiratory diseases given their anti-inflammatory effects. However, the efficacy of treatment with oral corticosteroids differs among the various types of pediatric respiratory diseases. Notably, also the adverse effects of corticosteroid treatment can differ depending on dosage, duration of treatment and type of corticosteroid administered -- a case in point being growth retardation in long-course treatment. A large body of data has accumulated on this topic. In this article, we have reviewed the data and guidelines related to the role of oral corticosteroids in the treatment and management of pediatric bronchiolitis, wheezing, asthma and croup in the attempt to provide guidance for physicians. Also included is a section on the management of acute respiratory failure in children. [ABSTRACT FROM AUTHOR]

Background: The economic impact of acute respiratory disease pandemics has yet to be specifically systematically reviewed. The aim of this scoping review is to identify and classify the economic impacts and its values and ranges. Materials and Methods: We conducted a literature search across three key databases using an extensive list of keywords. Then, we included studies which explored direct and indirect costs as well as broader economic impact associated with different nine acute respiratory diseases, i.e., pandemic and seasonal influenza, avian influenza, equine influenza, swine influenza, severe acute respiratory syndrome, coronavirus disease 2019, Middle East respiratory syndrome, H1N1, and H7N9. Results: We included 62 studies in English language between 1987 and 2020, mostly from the countries of East Asia and Pacific pertinent. We classified the economic impact into 5 main categories and 18 subcategories. The main categories were macroeconomic impacts, impacts on health cost, industry, businesses and trade, and education. Conclusion: Respiratory disease pandemics have widely impacted different sectors of economy such as the direct cost on macroeconomic, providing and receiving health services, disease management, industries, business and trade, education, and indirect costs due to productivity losses. However, lots of the reviewed studies were unable to quantify the actual economic cost of these impacts. This made it challenging to conduct any kind of quantitative comparison of the results. A key priority for future research is to develop standard methods to quantify the broader economic costs of respiratory disease pandemics. Understanding the total economic impact of respiratory disease pandemics is a key step to inform national and international priority setting for disease prevention and pandemic control interventions. [ABSTRACT FROM AUTHOR]

Copyright of Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: In most patients affected by isolated oesophageal atresia (IOA) the etiology is largely unknown. Thus, the aim of this study was to analyze potential risk factors in mothers. Methods: The study samples included 221 cases with IOA, 356 matched and 38,151 population controls without any defect in the population-based dataset of the Hungarian Case-Control Surveillance of Congenital Abnormalities, 1980 to 1996. Only those exposures were evaluated that were medically recorded in prenatal maternity logbooks during the critical period of IOA. Results: The findings of this case-control study suggested that the mothers of cases with IOA had a higher proportion of first delivery and lower socioeconomic status. Acute respiratory diseases (odds ratio [OR] 95% confidence interval [CI], 3.8, 1.8-8.1) and essential hypertension treated with nifedipine (OR 95% CI, 3.8, 1.7-8.7) in the mothers of cases associated with a higher risk for IOA in their children. Conclusion: First delivery, lower socioeconomic status, acute respiratory diseases and essential hypertension treated with nifedipine in the mothers may associate with a higher risk for IOA in their children. Birth Defects Research (Part A) 103:804-813, 2015. © 2015 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Haze is an atmospheric phenomenon in which dry particulate pollutants obscure the sky. Haze has been associated with chronic diseases, but its relationship with acute diseases is less clear. We aimed to determine the association between haze and acute cardiovascular, cerebrovascular, and respiratory diseases, in order to determine the influence of haze on human health. We compared the number of cases of acute cardiovascular, cerebrovascular, and respiratory diseases in Beijing Emergency Center between 2006 and 2013, with haze data from Beijing Observatory. The relationship between the number of hazy days and the number of cases of the above types of diseases was analyzed using univariate analyses. Both the number of cases and the number of hazy days showed a rising trend. The average number of cases per day for all three diseases was higher on hazy days than on non-hazy days. There was a positive correlation between the number of hazy days and the number of cases, and this correlation showed a hysteretic quality. Haze has an influence on acute cardiovascular (CVDs), cerebrovascular (CBDs), and respiratory system (RSDs) diseases. Haze seems to have an additive effect, since the associations between haze and number of cases were stronger in the following month than in the preceding month. The increasing trend in the number of hazy days might worsen the problem of haze-related diseases. [ABSTRACT FROM AUTHOR]

Copyright of Revista Mexicana de Pediatria is the property of Sociedad Mexicana de Pediatria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Wiener Medizinische Wochenschrift is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)