Exertional heatstroke is defined as a serious clinical syndrome typically characterized by impaired thermoregulation in high-temperature and high-humidity environments, resulting in heat production exceeding heat dissipation, causing core body temperature to exceed 40 centigrade, accompanied by central nervous system dysfunction and multi-organ failure. At present, the commonly used exertional heatstroke animal model is to put mice on a treadmill to run under high temperature and humidity conditions, but additional electrical stimulation is required to maintain the continuous running state of mice. However, additional electrical stimulation may lead to a further increase in mouse body temperature, which adversely affects the stability of the model. Therefore, medical staff from the intensive care unit of Xijing Hospital, Air Force Medical University, specially designed an intelligent experimental device for the exertional heatstroke model in mice, and obtained the national invention Patent of China (ZL 2022 1 1101721.2). The device integrates climate chamber, LCD touch screen and multiple sets of forced running wheel. Experimenters can observe and control the temperature, humidity, and wheel rotation parameters in the climate chamber in real time through a LCD touch screen. Each set of forced running wheel is equipped with a driving device that can be independently controlled. The device makes the mice run continuously without additional stimulation and enables the experimental personnel to observe and control the conditions in the climate chamber. The device successfully solves the problem of instability of the exertional heatstroke animal model and is convenient for the experimental personnel to control flexibly.
Animals ; Heat Stroke ; Mice ; Disease Models, Animal ; Hot Temperature ; Equipment Design ; Humidity ; Body Temperature

OBJECTIVES: To explore the epidemiological characteristics of respiratory syncytial virus (RSV) infection in children in Nanchang and its correlation with climate environmental factors. METHODS: The clinical data were collected from children with acute respiratory infection in Nanchang who were tested for RSV at Jiangxi Provincial Children's Hospital from January 2019 to December 2023, along with climate environmental data for the same period. The epidemiological characteristics of RSV and their correlation with climate environmental factors were investigated. RESULTS: A total of 178 127 children underwent RSV testing from January 2019 to December 2023, with a positive detection rate of 8.35% (14 873/178 127). The positive detection rate in males was 8.92% (10 137/113 660), which was higher than that in females (7.35%, 4 736/64 467). The differences in RSV positive detection rates among different age groups were statistically significant (P<0.001), with the highest rate observed in the 0 to <3 months age group (14.38%, 3 328/23 142). Peaks in RSV positive detection occurred during winter and spring periods in 2019, 2020, and 2022, while in 2023, it occurred in spring and summer periods, with no seasonality noted in 2021. The RSV positive detection rate showed a positive correlation with average humidity, average atmospheric pressure, monthly PM_2.5, and monthly carbon monoxide levels (P<0.05), while it showed a negative correlation with average wind speed, average temperature, and maximum 8-hour ozone levels (P<0.05). CONCLUSIONS In Nanchang, the RSV positive detection rate in children with acute respiratory infection is higher in males than in females. Among children of all age groups, the infants aged 0 to <3 months have the highest detection rate of RSV. RSV infection predominantly occurs in winter and spring periods. Lower temperatures, lower wind speeds, higher humidity, and elevated levels of PM_2.5 and carbon monoxide may increase the risk of RSV infection in children.
Humans ; Respiratory Syncytial Virus Infections/epidemiology* ; Male ; Female ; Infant ; Child, Preschool ; Seasons ; Infant, Newborn ; Climate ; China/epidemiology* ; Child ; Humidity ; Temperature ; Particulate Matter/analysis*

OBJECTIVE: This study aimed to explore the association between humidity exposure and the risk of cardiovascular disease (CVD), utilizing follow-up data and relative humidity (RH) metric assessments. METHODS: We extracted the baseline data from the China Hypertension Survey (CHS) of 24,510 enrolled participants aged ≥ 35 years without a history of CVD between 2012 and 2015 and followed them up from 2018 to 2019. The National Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) provided the quality-controlled relative humidity (RH) datasets. Cox proportional hazards models were used to estimate hazard ratios ( HRs) for CVD in relation to RH. RESULTS: During the follow-up period (2018-2019), 973 patients with CVD were identified. The HR of CVD risk was 1.17 (95% CI: 1.04-1.31) per 10% increase in summer mean RH. Compared with participants in the 3 ^rd quintile group, those in the 1 ^st and 5 ^th quintiles of RH had a higher risk of CVD. For summer mean RH, the HRs (95% CIs) for the 1 ^st and 5 ^th quintiles were 1.34 (1.04-1.71) and 1.44 (1.14-1.83), respectively. The relationship ("U" shape) between summer mean RH and the risk of CVD was nonlinear. Stratified analyses indicated that the risk of CVD was substantially influenced by the summer mean RH in female, older individuals, and those in southern China. CONCLUSION Unsuitable (too high or low) humidity environments affect the risk of CVD. Our study highlights those future policies for adapting to climate change should consider the humidity-CVD relationship.
Humans ; Humidity/adverse effects* ; Cardiovascular Diseases/etiology* ; Female ; Male ; Middle Aged ; Prospective Studies ; China/epidemiology* ; Adult ; Aged ; Risk Factors ; Proportional Hazards Models ; Seasons

Wilt disease is a major disease of cultivated Salvia miltiorrhiza, which is caused by Fusarium oxysporum. Since the infection process of F. oxysporum in plants is affected by environment factors, this study was conducted to reveal the relationship between disease severity and concentration of the pathogen in plants in the infection process of F. oxysporum in seedlings of S. miltiorrhiza by pot experiments and to reveal the effects of temperature and humidity on the infection process. The results showed that, after inoculation of S. miltiorrhiza seedlings with F. oxysporum, the pathogen in different parts was detected at different time, and it was first detected in substrates. With the continuous propagation of the pathogen(4-5 d), it gradually infected the roots and stems of the seedlings, and the plants had yellowing leaves and withering. The number of the pathogen reached the maximum in each part after 7-8 d, and then gradually decreased in the later stage of the disease. The concentration of the pathogen in substrates, roots and stems of S. miltiorrhiza showed a trend of decreasing after increasing with the aggravation of the disease and reached the maximum in the samples of moderate morbidity, while the concentration in the samples of severe morbidity decreased. In addition, the infection of F. oxysporum in seedlings of S. miltiorrhiza was affected by temperature and humidity. The suitable temperature was 25-30 ℃ and the suitable humidity was 80%-90%. This study could provide guidance for the experiments on pathogenicity of F. oxysporum, screening of biocontrol bacteria and controlling of wilt.
Seedlings/microbiology* ; Salvia miltiorrhiza ; Temperature ; Humidity ; Fusarium

BACKGROUND: Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution. METHODS: Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects. The interaction effects and stratified analysis were developed by the GAM. RESULTS: A total of 147,001 cases were reported from 2014 to 2019. The relationship between temperature and BD was approximately liner above 0 °C, but the turning point of total temperature effect was 10 °C. Results of DLNM indicated that the effect of high temperature was significant on lag 5d and lag 6d, and the lag effect showed that each 5 °C rise caused a 3% [Relative risk (RR) = 1.03, 95% Confidence interval (CI): 1.02-1.05] increase in BD cases. The cumulative BD cases delayed by 7 days increased by 31% for each 5 °C rise in temperature above 10 °C (RR = 1.31, 95% CI: 1.30-1.33). The interaction effects and stratified analysis manifested that the incidence of BD was highest in hot and humid climates. CONCLUSIONS This study suggests that temperature can significantly affect the incidence of BD, and its effect can be enhanced by humidity and precipitation, which means that the hot and humid environment positively increases the incidence of BD.
Beijing/epidemiology* ; China/epidemiology* ; Dysentery, Bacillary/epidemiology* ; Humans ; Humidity ; Temperature

Objective: To investigate and monitor the occupational hazards in the Teaching and Research Laboratory (hereinafter referred to as the place) of a university, so as to provide basis for the occupational health work in the university. Methods: November 2014, 46 places in a university were selected by stratified random sampling, and the occupational health risk factors were investigated. Results: Indoor temperature, humidity, sulfur dioxide, nitrogen dioxide, carbon monoxide and carbon dioxide were detected in 21 sites, xylene and hydrofluoric acid were detected in 6 sites, and colony count was detected in 18 sites, the power frequency electric field intensity was measured in 23 places, and the x-ray radiation dose was measured in 4 places. Noise was measured at 21 sites, with 7 sites exceeding the standards accounting for 33.3% (7/21) ; 21 sites were detected for illumination and 10 sites for nonconformity accounting for 47.6% (10/21) ; 10 sites for Microwave Radiation and 3 sites exceeding the standards accounting for 30% (3/10) ; and 25 sites were detected for outdoor air volume and air velocity, the percentage of unqualified was 72% (18/25) in 18 sites, among which the wind velocity was statistically significant in teaching, research and experimental sites (P=0.010) . Conclusion: The occupational hazards in the teaching and research places of a university should be paid attention to, and the engineering protection and personal protection should be strengthened in the experiment.
Air Pollution, Indoor/analysis* ; Humans ; Humidity ; Nitrogen Dioxide/analysis* ; Occupational Exposure ; Occupational Health ; Universities

BACKGROUND: For the reason that many studies have been inconclusive on the effect of humidity on respiratory disease, we examined the association between absolute humidity and respiratory disease mortality and quantified the mortality burden due to non-optimal absolute humidity in Guangzhou, China. METHODS: Daily respiratory disease mortality including total 42,440 deaths from 1 February 2013 to 31 December 2018 and meteorological data of the same period in Guangzhou City were collected. The distributed lag non-linear model was used to determine the optimal absolute humidity of death and discuss their non-linear lagged effects. Attributable fraction and population attributable mortality were calculated based on the optimal absolute humidity, defined as the minimum mortality absolute humidity. RESULTS: The association between absolute humidity and total respiratory disease mortality showed an M-shaped non-linear curve. In total, 21.57% (95% CI 14.20 ~ 27.75%) of respiratory disease mortality (9154 deaths) was attributable to non-optimum absolute humidity. The attributable fractions due to high absolute humidity were 13.49% (95% CI 9.56 ~ 16.98%), while mortality burden of low absolute humidity were 8.08% (95% CI 0.89 ~ 13.93%), respectively. Extreme dry and moist absolute humidity accounted for total respiratory disease mortality fraction of 0.87% (95% CI - 0.09 ~ 1.58%) and 0.91% (95% CI 0.25 ~ 1.39%), respectively. There was no significant gender and age difference in the burden of attributable risk due to absolute humidity. CONCLUSIONS Our study showed that both high and low absolute humidity are responsible for considerable respiratory disease mortality burden, the component attributed to the high absolute humidity effect is greater. Our results may have important implications for the development of public health measures to reduce respiratory disease mortality.
China/epidemiology* ; Cities/epidemiology* ; Climate ; Humans ; Humidity/adverse effects* ; Models, Theoretical ; Nonlinear Dynamics ; Respiratory Tract Diseases/mortality* ; Sensitivity and Specificity

During the high-temperature and rainy season from June to October in 2017-2019,serious southern blight broke out in the Cynanchum stauntonii planting area in Tuanfeng county,Hubei province,which had a great impact on the yield and quality of medicinal materials. In this study,the pathogen of C. stauntonii was isolated,purified,and identified,and the pathogenicity was tested according to Koch's postulates. Meanwhile,the biological characteristics of the pathogen were analyzed. On this basis,the effective fungicides were screened in laboratory. Finally,the pathogen( BQ-1) was identified as Athelia rolfsii( Deuteromycotina,Basidiomycota,anamorph: Sclerotium rolfsii). The optimum growth conditions for BQ-1 were 25-30 ℃,p H 5-8,and alternating light and dark.The effective chemical fungicides were lime-sulphur-synthelic-solution( LSSS) and flusilazole,and the effective botanical fungicide was osthole. BQ-1 was highly homologous to the pathogen HS-1 of peanut southern blight,with the similarity of 18 S r DNA and TEF sequences at 99. 09%. The southern blight in C. stauntonii might be resulted from that in peanut. In the production of C. stauntonii,the following measures should be taken: avoiding rotation or neighboring with peanut,draining water from June to October to reduce humidity,and reasonably applying fungicides.
Basidiomycota ; Cynanchum ; Fungicides, Industrial/pharmacology* ; Humidity

OBJECTIVE: To explore effects of different delivery and storage conditions on concentrations of amino acids and carnitines in neonatal dried blood spots (DBS), so as to provide evidence for improving accurate and reliable detection by tandem mass spectrometry. METHODS: A total of 1 254 616 newborn DBS samples in Newborn Screening Center of Zhejiang Province were delivered and stored at room temperature (group A, RESULTS: The concentrations of amino acids and carnitines in the three groups were skewed, and the differences in amino acid and carnitine concentrations among groups were statistically significant (all CONCLUSIONS Cold-chain logistics system and storage in low temperature and low humidity can effectively reduce degradation of some amino acids and carnitines in DBS, improve the accuracy and reliability of detection, and thus ensures the quality of screening for neonatal metabolic diseases.
Amino Acids/analysis* ; Carnitine/analysis* ; Dried Blood Spot Testing/standards* ; Humans ; Humidity ; Infant, Newborn ; Neonatal Screening ; Reproducibility of Results ; Specimen Handling/standards* ; Tandem Mass Spectrometry ; Temperature ; Time Factors

INTRODUCTION: Dengue continues to be a major health concern in the Philippines. This study aimed to establish trends and correlations between the incidence of dengue and rainfall, humidity and temperature, respectively, in the different regions. METHODS: Using 2018 records obtained from DOH and PAGASA, correlations were made between monthly measurements of climatic factors and the incidence of dengue using Pearson’s r, while maps and interpolations were generated using quantum geographical information system software. RESULTS: There was a significant positive but weak correlation between the incidence of dengue and rainfall (r = 0.379, 95% CI 0.255, 0.491; p < 0.001) and humidity (r = 0.215, 95% CI 0.080, 0.342; p = 0.002). There was a significant negative but weak correlation between the incidence of dengue and temperature (r = -0.145, 95% CI -0.277, -0.008; p = 0.039). A strong positive correlation was noted between the incidence of dengue, and rainfall and humidity, respectively, in several regions. Multiple regression indicates that rainfall, humidity and temperature are poor predictors of the incidence of dengue (R2 = 0.1436, 0.0461 and 0.0209, respectively). CONCLUSION This study showed overall a significant but weak correlation between an increased incidence of dengue and heavy rainfalls and high relative humidity, and a weak negative correlation for temperature. A high positive correlation of an increased incidence of dengue and heavy rainfalls and high relative humidity was observed in several regions.
Dengue ; humidity ; temperature