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Copyright of Hypertonia és Nephrologia is the property of LifeTime Media Kft. 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.)

Abstract Background Brucellosis poses a significant public health concern. This study explores the spatial and temporal dynamic evolution of human brucellosis in China and analyses the spatial heterogeneity of the influencing factors related to the incidence of human brucellosis at the provincial level. Methods The Join-point model, centre of gravity migration model and spatial autocorrelation analysis were employed to evaluate potential changes in the spatial and temporal distribution of human brucellosis in mainland China from 2005 to 2021. Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR), and Multi-scale Geographically Weighted Regression (MGWR) models were constructed to analyze the spatial and temporal correlation between the incidence rate of human brucellosis and meteorological and social factors. Results From 2005 to 2021, human brucellosis in China showed a consistent upward trend. The incidence rate rose more rapidly in South, Central, and Southwest China, leading to a shift in the center of gravity from the North to the Southwest, as illustrated in the migration trajectory diagram. Strong spatial aggregation was observed. The MGWR model outperformed others. Spatio-temporal plots indicated that lower mean annual temperatures and increased beef, mutton, and milk production significantly correlated with higher brucellosis incidence. Cities like Guangxi and Guangdong were more affected by low temperatures, while Xinjiang and Tibet were influenced more by beef and milk production. Inner Mongolia and Heilongjiang were more affected by mutton production. Importantly, an increase in regional GDP and health expenditure exerted a notable protective effect against human brucellosis incidence. Conclusions Human brucellosis remains a pervasive challenge. Meteorological and social factors significantly influence its incidence in a spatiotemporally specific manner. Tailored prevention strategies should be region-specific, providing valuable insights for effective brucellosis control measures.

Background: Brucellosis poses a significant public health concern. This study explores the spatial and temporal dynamic evolution of human brucellosis in China and analyses the spatial heterogeneity of the influencing factors related to the incidence of human brucellosis at the provincial level. Methods: The Join-point model, centre of gravity migration model and spatial autocorrelation analysis were employed to evaluate potential changes in the spatial and temporal distribution of human brucellosis in mainland China from 2005 to 2021. Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR), and Multi-scale Geographically Weighted Regression (MGWR) models were constructed to analyze the spatial and temporal correlation between the incidence rate of human brucellosis and meteorological and social factors. Results: From 2005 to 2021, human brucellosis in China showed a consistent upward trend. The incidence rate rose more rapidly in South, Central, and Southwest China, leading to a shift in the center of gravity from the North to the Southwest, as illustrated in the migration trajectory diagram. Strong spatial aggregation was observed. The MGWR model outperformed others. Spatio-temporal plots indicated that lower mean annual temperatures and increased beef, mutton, and milk production significantly correlated with higher brucellosis incidence. Cities like Guangxi and Guangdong were more affected by low temperatures, while Xinjiang and Tibet were influenced more by beef and milk production. Inner Mongolia and Heilongjiang were more affected by mutton production. Importantly, an increase in regional GDP and health expenditure exerted a notable protective effect against human brucellosis incidence. Conclusions: Human brucellosis remains a pervasive challenge. Meteorological and social factors significantly influence its incidence in a spatiotemporally specific manner. Tailored prevention strategies should be region-specific, providing valuable insights for effective brucellosis control measures. [ABSTRACT FROM AUTHOR]

Background Most of the existing studies on the influencing factors of pulmonary tuberculosis incidence are based on temporal or spatial regression models, and the results are limited. Objective To explore the temporal and spatial heterogeneity of pulmonary tuberculosis in China, and to analyze the temporal and spatial correlations between the incidence of pulmonary tuberculosis and meteorological and air quality factors, offering a scientific reference for the development of measures containing tuberculosis. Methods Monthly statistical data of pulmonary tuberculosis in China from 2016 to 2018 were collected. After being tested with multicollinearity and spatial-autocorrelation between incidence of pulmonary tuberculosis and meteorological and air quality factors, the incidence of pulmonary tuberculosis was used as the dependent variable, and meteorological and air quality factors as independent variables to construct OLS, GWR and GTWR models, respectively. Then the goodness of the three models was evaluated, and the optimal model was selected to describe the incidence of pulmonary tuberculosis. Kernel density plot and spatio-temporal graph were used to describe the spatio-temporal specificity of the fitting coefficients of each variable. Results The overall incidence of pulmonary tuberculosis in China during 2016-2018 decreased annually, with clustered spatial distribution. The GTWR model had higher R2 value and lower AICc value compared to other two models, indicating that it had better performance in explaining the influence of meteorological and air quality factors on the incidence of pulmonary tuberculosis. The kernel density plot of each variable showed that the increase of wind speed was associated with decreased pulmonary tuberculosis incidence in most cities. But the increase of humidity and air pollutant concentration was associated with increased incidence of pulmonary tuberculosis, and the strength of association varied across cities. Conclusion Meteorological and air quality factors may significantly influence the incidence of pulmonary tuberculosis, and the influence had spatio-temporal specificity. So prevention methods for pulmonary tuberculosis should be developed according to region-specific factors influencing the disease.

Objective To explore the correlation between meteorological parameters and outcome in patients with acute ischemic stroke (AIS) in Tangshan area. Methods A total of 636 patients with AIS admitted to the Department of Neurology of Tangshan Xiehe Hospital were enrolled retrospectively. Clinical outcome was assessed by the modified Rankin scale (mRS) at 3 months after onset. The score of 0-2 was defined as the good outcome, and >2 was defined as the poor outcome. A total of 636 patients were enrolled in the study, and 413 had good outcome, 223 had poor outcome. Clinical basic data, laboratory tests and meteorological parameters were compared between the two groups. Multivariate Logistic regression analysis was used to determine the independent risk factors for poor outcome in patients with AIS. Results The values of age, the proportion of women and history of stroke, systolic pressure at admission, baseline National Institutes of Health Stroke Scale (NIHSS) score, the proportion of complicated pneumonia, white blood cell count (WBC), fibrinogen (FIB), daily range of temperature, average daily wind speed and daily maximum wind speed were higher in the poor outcome group than those in the good outcome group (P＜0.05). However, the values of albumin (ALB), red blood cell count (RBC), hemoglobin (HGB), average daily temperature and average daily relative humidity were significantly lower in the poor outcome group than those in the good outcome group (all P＜0.05). Multivariate Logistic regression analysis showed that high NIHSS score, high daily range of temperature and rapid daily maximum wind speed were independent risk factors for poor outcome in patients with AIS (P＜0.05). Conclusion Daily range of temperature and daily maximum wind speed are significantly correlated with outcome in patients with AIS. [ABSTRACT FROM AUTHOR]

Copyright of Hungarian Medical Journal / Orvosi Hetilap is the property of Akademiai Kiado 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 Mund-, Kiefer- und Gesichtschirurgie 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.)

The atmosphere is part of the environment with which the human organism is permanently confronted. Epidemiological research investigates the occurrence of effects on morbidity and mortality due to heat, cold, air pollution and changes in the weather. Concentrating on aspects of the environment relevant for medical questions, three major complexes of effects can be discriminated: the complex conditions of heat exchange, the direct biological effects of solar radiation, and air pollution. Biometeorological knowledge can serve to assess the atmospheric environment, and can also be of help in the field of preventive planning, to conserve and develop the climate as a natural resource with regard to man's health, well-being and performance. [ABSTRACT FROM AUTHOR]

The aim of this article is to draw attention to the medical meteorology from the perspective of the history of science. Unfortunately medical meteorology is not part of the daily medical practice. The climate change is a new challenge for health care worldwide. It concerns millions of people a higher morbidity and mortality rate. Knowing the effects of the meteorological parameters as risk factors can allow us to create new prevention strategies. These new strategies could help to decrease the negative health effects of the meteorological parameters. Nowadays on the field of the medical prevention the medical meteorology is a new horizon and in the future it could play an important role. Health care professionals have the most important role to fight against the negative effects of the global climate change. Orv. Hetil., 2017, 158(5), 187-191.

Introduction: Research on the effects of meteorological parameters on cardiovascular diseases may allow the development of novel prevention strategies., Aim: The aim of the authors was to examine the correlation between meteorological parameters and the occurrence of acute cardiovascular diseases., Method: A retrospective analysis was performed in 343 patients diagnosed with acute cardiovascular disease and treated at the Department of Vascular Surgery, Semmelweis University in 2010., Results: Acute cardiovascular diseases showed a seasonal variation with the highest occurrence in winter months (p = 0.0001). The daily increase of the events (n ≥ 3) were associated with front movements days (in 62.5% of cases). A significant correlation was found between the intraday temperature difference (p<0.0001), the intraday atmospheric pressure difference (p = 0.0034), the lowest maximum daily temperature (p<0.0001) and the occurrence of acute cardiovascular diseases. During the days with front movements 64% of the patients were older than 66 years of age. Among risk factors, hypertension showed front sensitivity., Conclusions: Meteorological parameters are minor risk factors in the occurrence of acute cardiovascular diseases.