Assessment of monthly runoff simulations based on a physics-informed machine learning framework: The effect of intermediate variables in its construction.

Hydrological forecasting is of great importance for water resources management and planning, especially given the increasing occurrence of extreme events such as floods and droughts. The physics-informed machine learning (PIML) models effectively integrate conceptual hydrologic models with machine learning (ML) models. In this process, the intermediate variables of PIML models serve as bridges between inputs and outputs, while the impact of intermediate variables on the performance of PIML models remains unclear. To fill this knowledge gap, this study aims to encompass the construction of PIML models based on various hydrologic models, conduct comparative analyses of different intermediate variables based on a case study of 205 CAMELS basins, and further explore the relationship between the performance of PIML models and catchment characteristics. The optimal ML model for constructing PIML is first selected among four ML models within the 205 basins. The PIML models are then developed based on five monthly water balance models, namely TM, XM, MEP, SLM, and TVGM. To quantify the potential impact of difference in intermediate variables, two sets of experiments are further designed and performed, namely S1 with actual evapotranspiration as the intermediate variable and S2 with soil moisture as the intermediate variable. Results show that five PIML models generally outperformed the optimal standalone ML models, i.e., the Lasso model. Specifically, regardless of the choice of intermediate variables, the PIML-XM model consistently outperformed the other models within the same basins. Almost all constructed PIML models are affected by the intermediate variables in monthly runoff simulations. Typically, S1 exhibited better performance compared to S2. A greater impact of aridity index, forest fraction, and catchment area on model performance is observed in S2. These findings improve our understanding of constructing PIML models in hydrology by emphasizing their excellent performance in runoff simulations and highlighting the importance of intermediate variables.

Differential responses of rumen and fecal fermentation and microbiota of Liaoning cashmere goats after 2-hydroxy-4-(methylthio) butanoic acid isopropyl ester supplementation.

The 2-hydroxy-4-(methylthio) butanoic acid isopropyl ester (HMBi), a rumen protective methionine, has been extensively studied in dairy cows and beef cattle and has been shown to regulate gastrointestinal microbiota and improve production performance. However, knowledge of the application of HMBi on cashmere goats and the simultaneous study of rumen and hindgut microbiota is still limited. In this study, HMBi supplementation increased the concentration of total serum protein, the production of microbial protein in the rumen and feces, as well as butyrate production in the feces. The results of PCoA and PERMANOVA showed no significant difference between the rumen microbiota, but there was a dramatic difference between the fecal microbiota of the two groups of Cashmere goats after the HMBi supplementation. Specifically, in the rumen, HMBi significantly increased the relative abundance of some fiber-degrading bacteria (such as Fibrobacter) compared with the CON group. In the feces, as well as a similar effect as in the rumen (increasing the relative abundance of some fiber-degrading bacteria, such as Lachnospiraceae FCS020 group and ASV32), HMBi diets also increased the proliferation of butyrate-producing bacteria (including Oscillospiraceae UCG-005 and Christensenellaceae R-7 group). Overall, these results demonstrated that HMBi could regulate the rumen and fecal microbial composition of Liaoning cashmere goats and benefit the host.

Network analysis of smoking-related sleep characteristics in Chinese adults.

The associations between multiple sleep characteristics and smoking behavior are inconsistent, and it is unclear which sleep characteristics are most crucial for tobacco prevention. This study aimed to explore the associations between smoking status/intensity and multiple sleep characteristics and to identify the potential core domain of smoking-related sleep using network analysis. Data were obtained from a survey of cancer-related risk factors among Chinese adults. Logistic regression models were used to quantify the associations between sleep characteristics and smoking status/intensity. Network analyses were employed to identify the core sleep characteristics. A total of 5,228 participants with a median age of 44 years old were included in the study. Current smoking was significantly positively associated with long nap time, difficulty falling asleep, late bedtime, getting up after 7 am, and waking up earlier than expected. There was significant positive association between current smoking and short sleep duration in young adults under 45 years old. Late bedtime and getting up after 7 am were only associated with current heavy smoking, but not current light smoking. Network analyses showed that multiple smoking-related sleep characteristics were interconnected, with difficulty falling asleep and late bedtime as central characteristics in the network. The study found that the associations between sleep characteristics and smoking varied by age and smoking intensity and highlights the potential benefits of sleep health promotion in smoking cessation, with a particular focus on difficulty falling asleep and late bedtime.

Physical activity domains and patterns with risk of depressive symptoms: A cross-sectional study in China.

BACKGROUND: The health benefits of domain-specific physical activity (PA) on depressive symptoms were inconclusive. Few studies explored PA patterns and depressive symptoms. This study aimed to investigate the associations of PA domains and patterns with depressive symptoms. METHODS: We conducted a cross-sectional study in China with 5047 adults. Latent class analysis was applied to identify the PA patterns and logistic regression analysis was used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs). RESULTS: The ORs (95 % CIs) for the active versus inactive groups were 0.79 (0.69-0.91) for leisure-time PA, 0.57 (0.49-0.65) for transport PA, 0.95 (0.82-1.09) for household PA, and 1.38 (1.18-1.62) for occupational PA. We found non-linear associations between leisure-time PA, transport PA and depressive symptoms, with the lowest risk at 11 METs-h/week of leisure-time PA (equal to 147 min/week moderate PA or 88 min/week vigorous PA) and 23 METs-h/week of transport PA. There was a marginal inverse association with household PA for men while not for women. We identified four PA patterns and found a lower risk of depressive symptoms associated with "low occupational PA pattern" versus "moderate PA level pattern" (0.45 (0.38-0.52)). LIMITATIONS: Given the cross-sectional design, causality cannot be inferred. CONCLUSIONS: Our study supported an inverse association of leisure-time PA and transport PA with depressive symptoms and a positive association of occupational PA. The observed inconsistent association of household PA among men and women, and the finding that "low occupational PA pattern" was associated with a lower risk of depressive symptoms warrant further investigation.

Higher Neutrophil to Lymphocyte Ratio at Admission is Association with Post-PCI Depressive Symptoms in Patients with ACS.

Background: Depression and elevated blood biomarkers of inflammation are common in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI). Neutrophil to lymphocyte ratio (NLR) is an indicator of peripheral inflammation and has been proved to be associated with both ACS and depression. Purpose: Our aim was to evaluate the possible association between NLR at admission and post-PCI depressive symptoms at 1 month. Patients and Methods: A total of 224 patients with ACS who underwent PCI for the first time were recruited and completed 1-month follow-up. The 24-item Hamilton Depression Scale (HAMD-24) was used to measure depressive symptoms at 1 month after PCI. Logistic regression was used to analyze the relationship between different NLR levels and post-PCI depressive symptoms. A receiver operating characteristic (ROC) curve analysis was performed to assess the value of NLR for predicting post-PCI depressive symptoms and to determine its critical value. Results: Of the 224 enrolled patients, 52 (23.2%) patients were diagnosed with depressive symptoms at 1 month after PCI. Patients with depressive symptoms showed significantly higher level of NLR at admission than patients without depressive symptoms (4.33 (3.26, 7.01) vs 2.57 (1.72, 3.91), P < 0.001). The proportion of depressive symptoms in post-PCI patients increases progressively along with NLR quartile. In the results of multivariate-adjusted logistic regression analysis, the odds ratio (OR) of post-PCI depressive symptoms was 12.028 (95% CI, 2.642-54.752) for the lowest quartile of NLR compared with the highest quartile. According to the receiver operating characteristic curve (ROC), the area under the curve (AUC) for predicting post-PCI depressive symptoms was 0.716 (95% CI, 0.641-0.791; P < 0.001), and the optimal cutoff of NLR levels was 3.235 (sensitivity: 76.9%, specificity: 66.9%). Conclusion: Higher NLR levels at admission were associated with post-PCI depressive symptoms at 1 month, suggesting that NLR might be useful inflammatory markers to predict post-PCI depressive symptoms at 1 month.

Comparative physiological, transcriptomic, and WGCNA analyses reveal the key genes and regulatory pathways associated with drought tolerance in Tartary buckwheat.

Drought stress is one of the major abiotic stress factors that affect plant growth and crop productivity. Tartary buckwheat is a nutritionally balanced and flavonoid-rich pseudocereal crop and also has strong adaptability to different adverse environments including drought. However, little is known about its drought tolerance mechanism. In this study, we performed comparative physiological and transcriptomic analyses of two contrasting drought-resistant Tartary buckwheat genotypes under nature drought treatment in the reproductive stage. Under drought stress, the drought-tolerant genotype XZSN had significantly higher contents of relative water, proline, and soluble sugar, as well as lower relative electrolyte leakage in the leaves than the drought-susceptible LK3. A total of 5,058 (2,165 upregulated and 2,893 downregulated) and 5,182 (2,358 upregulated and 2,824 downregulated) potential drought-responsive genes were identified in XZSN and LK3 by transcriptome sequencing analysis, respectively. Among the potential drought-responsive genes of XZSN, 1,206 and 1,274 genes were identified to be potential positive and negative contributors for XZSN having higher drought resistance ability than LK3. Furthermore, 851 out of 1,206 positive drought-resistant genes were further identified to be the core drought-resistant genes of XZSN based on WGCNA analysis, and most of them were induced earlier and quicker by drought stress than those in LK3. Functional annotation of the 851 core drought-resistant genes found that a large number of stress-responsive genes were involved in TFs, abscisic acid (ABA) biosynthesis, signal transduction and response, non-ABA signal molecule biosynthesis, water holding, oxygen species scavenging, osmotic adjustment, cell damage prevention, and so on. Transcriptional regulatory network analyses identified the potential regulators of these drought-resistant functional genes and found that the HD-ZIP and MYB TFs might be the key downstream TFs of drought resistance in Tartary buckwheat. Taken together, these results indicated that the XZSN genotype was more drought-tolerant than the LK3 genotype as evidenced by triggering the rapid and dramatic transcriptional reprogramming of drought-resistant genes to reduce water loss, prevent cell damage, and so on. This research expands our current understanding of the drought tolerance mechanisms of Tartary buckwheat and provides important information for its further drought resistance research and variety breeding.

A nested case-control study of serum polychlorinated biphenyls and papillary thyroid cancer risk among U.S. military service members.

BACKGROUND AND OBJECTIVES: Although polychlorinated biphenyls (PCBs) were banned decades ago, populations are continuously exposed to PCBs due to their persistence and bioaccumulation/biomagnification in the environment. Results from limited epidemiologic studies linking PCBs to thyroid cancer have been inconclusive. This study aimed to investigate the association between individual PCBs and PCB mixture and papillary thyroid cancer (PTC), the most common thyroid cancer histologic subtype. METHODS: We carried out a nested case-control study including 742 histologically confirmed PTC cases diagnosed in 2000-2013 and 742 individually matched controls among U.S. military service members. Pre-diagnostic serum samples that were collected on average nine years before PTC diagnosis were used to measure PCB congeners by gas chromatography isotope dilution high resolution mass spectrometry (GC/ID-HRMS). Conditional logistic regression, Bayesian kernel machine regression (BKMR), and weighted quantile sum (WQS) regression were employed to estimate the association between single PCB congeners as well as their mixture and PTC. RESULTS: Four PCB congeners (PCB-74, PCB-99, PCB-105, PCB-118) had significant associations and dose-response relationships with increased risk of PTC in single congener models. When considering the effects from all measured PCBs and their potential interactions in the BKMR model, PCB-118 showed positive trends of association with PTC. Increased exposure to the PCB congeners as a mixturewas also associated with an increased risk of PTC in the WQS model, with the mixture dominated by PCB-118, followed by PCB-74 and PCB-99. One PCB congener, PCB-187, showed an inverse trend of association with PTC in the mixture analysis. DISCUSSION: This study suggests that exposure to certain PCBs as well as a mixture of PCBs were associated with an increased risk of PTC. The observed association was mainly driven by PCB-118, and to a lesser extent by PCB-74 and PCB-99. The findings warrant further investigation.

Elasticity and damping ratio measurement of droplets on super-hydrophobic surfaces.

The measurement of the droplets' elasticity is vitally important in microfluidic and ink-jet printing. It refers to the ability of the droplet to restore its original shape and strong robustness. This study investigated a novel method to measure elasticity. The plate coated with super-hydrophobic layers pressed on a droplet and the elastic force was recorded by an electronic balance. Meanwhile, a mathematical model was constructed to calculate the changes of the droplet area under the force. The measurement showed that external work mainly converts into surface energy and the damping ratio increases from 0.068 to 0.261 with the increase of mass fraction from 0 to 80 wt%. It also indicates that the novel method can accurately and efficiently measure the elasticity of droplets.

Machine learning-based prognostic and metastasis models of kidney cancer.

Background: Kidney cancer originates from the urinary tubule epithelial system of the renal parenchyma, accounting for 20% of all urinary system tumors. Approximately 70% of cases are localized at diagnosis, and 30% are metastatic. Most localized kidney cancers can be cured by surgery, but most metastatic patients relapse after surgery and eventually die of kidney cancer. Therefore, accurately predicting patient survival and identifying high-risk metastatic patients will effectively guide interventions and improve prognosis. Methods: This study used the data of 12,394 kidney cancer patients from the surveillance, epidemiology, and end results database to construct a research cohort related to kidney cancer survival and metastasis. Eight machine learning models (including support vector machines, logistic regression, decision tree, random forest, XGBoost, AdaBoost, K-nearest neighbors, and multilayer perceptron) were developed to predict the survival and metastasis of kidney cancer and six evaluation indicators (accuracy, precision, sensitivity, specificity, F1 score, and area under the receiver operating characteristic [AUROC]) were used to verify, evaluate, and optimize the models. Results: Among the eight machine learning models, Logistic Regression has the highest AUROC in both prediction scenarios. For 3-year survival prediction, the Logistic Regression model had an accuracy of 0.684, a sensitivity of 0.702, a specificity of 0.670, a precision of 0.686, an F1 score of 0.683, and an AUROC of 0.741. For tumor metastasis prediction, the Logistic Regression model had an accuracy of 0.800, a sensitivity of 0.540, a specificity of 0.830, a precision of 0.769, an F1 score of 0.772, and an AUROC of 0.804. Conclusion: In this study, we selected appropriate variables from both statistical and clinical significance and developed and compared eight machine learning models for predicting 3-year survival and metastasis of kidney cancer. The prediction results and evaluation results demonstrated that our model could provide decision support for early intervention for kidney cancer patients.

Wighteone exhibits an antitumor effect against EGFR L858R/T790M mutation non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) harboring activating EGFR mutations were initially treated by first-generation EGFR tyrosine kinase inhibitors (EGFR-TKIs), unfortunately, the efficacy of these drugs is limited, mostly frequent due to T790M mutation. Although osimertinib has been approved to treat patients with T790M-positive NSCLC, the majority of patients will develop C797S mutation and suffer diseases again. Therefore, more novel therapeutic strategies for T790M mutation-positive NSCLC are urgently required. We hypothesized that wighteone, a natural compound isolated from plant derivatives, has antitumor effects against NSCLC with T790M mutation. In this study, we created a Ba/F3 cell line harboring EGFR L858R/T790M mutation (Ba/F3 EGFR L858R/T790M cell line), and then used this cell line and a human NSCLC cell line with EGFR L858R/T790M mutation (NCI-H1975) to investigate the effects and mechanism of wighteone. The results showed that wighteone inhibited cell proliferation, suppressed EGFR signaling pathway, caused cell cycle redistribution and induced cell apoptosis. Our studies suggest that wighteone may provide a novel potential therapeutic strategy for NSCLC patients with T790M mutation.

Cooking stoves and risk of birth defects in urban China.

INTRODUCTION: Birth defects are a leading cause of infant death. Pregnant women spend a large amount of time indoors, and little research from population-based studies has investigated the association between indoor air pollution and birth defects. We aimed to examine whether using coal, biomass, or electromagnetic stoves for cooking is associated with risk of birth defects compared to using gas stoves. METHODS: A birth cohort study was conducted from 2010 to 2012 in Lanzhou, China. Cases (n = 264) were singleton births with birth defects, which were defined as abnormalities of structure or function, including metabolism, presented at birth based on the International Classification of Diseases (ICD)-10 codes. Controls (n = 9926) were defined as singleton live births without birth defects. Unconditional logistic regression models were employed to estimate the association adjusting for confounding variables. RESULTS: Compared to gas stoves for cooking, biomass (OR = 2.66, 95%CI: 1.38-5.13), and electromagnetic stove (OR = 1.90, 95%CI: 1.26-2.88) for cooking were associated with an increased risk of birth defects. The significant associations remained among non-congenital heart disease (CHD) defects but not CHDs. CONCLUSIONS: Using biomass or electromagnetic stoves for cooking during pregnancy was associated with an increased risk of birth defects. Additional studies are warranted to confirm these novel findings. Studies with larger sample size or greater statistical power are also warranted to better estimate the associations for individual birth defects.

Hydrogen sulfide alleviates cognitive deficiency and hepatic dysfunction in a mouse model of acute liver failure.

Acute liver failure (ALF) is a devastating clinical syndrome with a high mortality rate if not treated promptly. Previous studies have demonstrated the beneficial effects of hydrogen sulfide (H2S) on the brain and liver. The present study aimed to investigate the potential protective effects of H2S in ALF. A mouse model of ALF was established following treatment with thioacetamide (TAA). Mice with TAA-induced ALF were intraperitoneally injected with 30 or 100 µmol/kg/day sodium hydrosulfide (NaHS; a H2S donor drug) for two weeks. According to results from novel object recognition and Y-maze tests, in the present study, NaHS treatment alleviated cognitive deficiency and preserved spatial orientation learning ability in TAA-induced ALF mice compared with those of untreated mice. In addition, NaHS treatment reduced serum levels of aspartate transaminase (AST), alanine transaminase (ALT) and the concentration of ammonia compared with those that received control treatment, resulting in weight loss prevention. These findings suggested a beneficial effect of H2S on liver function. In conclusion, results from the present study suggested that H2S treatment may alleviate cognitive deficiency and hepatic dysfunction in mice with ALF, indicating the potential therapeutic benefits of applying H2S for the treatment of ALF.

The oxidation of (-)-epigallocatechin-3-gallate inhibits T-cell acute lymphoblastic leukemia cell line HPB-ALL via the regulation of Notch1 expression.

T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematological malignancy, and commonly associated with activating mutations in the Notch1 pathway. (-)-Epigallocatechin-3-gallate (EGCG) is the most abundant and active catechin and has been shown to regulate Notch signaling. Taking into account the highly oxidizable and unstable of EGCG, we proposed that EGCG oxides may have greater potential to regulate Notch signaling than EGCG. In this study, we isolated and identified EGCG oxides (compound 2-4), using a chemical oxidation strategy, and evaluated for cytotoxicity against T-cell acute lymphoblastic leukemia cell line (HPB-ALL) by using the MTS assay. We found compound 3 significantly induced cell proliferation inhibition (38.3858 ± 1.67106 µM), cell apoptosis and cell cycle arrest in a dose-dependent manner. Remarkably, compound 3 inhibited expression of Notch1 compared with EGCG in HPB-ALL cells. Meanwhile, we found that compound 3 significantly inhibited c-Myc and Hes1, which are downstream target genes of Notch1. The findings demonstrate for the first time that an oxidation product of EGCG (compound 3) inhibits T-cell acute lymphoblastic leukemia cell line (HPB-ALL) and is a promising agent for cancer therapy deserving further research.

(-)-Epigallocatechin-3-gallate derivatives combined with cisplatin exhibit synergistic inhibitory effects on non-small-cell lung cancer cells.

BACKGROUND: Non-small-cell lung cancer (NSCLC) is the leading cause of cancer-related death worldwide. The inhibition of epidermal growth factor receptor (EGFR) signaling by tyrosine kinase inhibitors or monoclonal antibodies plays a key role in NSCLC treatment. Unfortunately, these treatment strategies are limited by eventual resistance and cell lines with differential EGFR status. Therefore, new therapeutic strategies for NSCLC are urgently required. METHODS: To improve the stability and absorption of (-)-epigallocatechin-3-gallate (EGCG), we synthesized a series of EGCG derivatives. The antitumor activities of EGCG derivatives with or without cisplatin were investigated in vitro and vivo. Cell proliferation, cell cycle distribution and apoptosis were measured in NSCLC cell lines and in vivo in a NCI-H441 xenograft model. RESULTS: We found that the EGCG derivatives inhibited cell viability and colony formation, caused cell cycle redistribution, and induced apoptosis. More importantly, the combination of the EGCG derivative and cisplatin led to increased growth inhibition, caused cell cycle redistribution, and enhanced the apoptosis rate compared to either compound alone. Consistent with the experiments in vitro, EGCG derivatives plus cisplatin significantly reduced tumor growth. CONCLUSIONS: The combination treatment was found to inhibit the EGFR signaling pathway and decrease the expression of p-EGFR, p-AKT, and p-ERK in vitro and vivo. Our results suggest that compound 3 is a novel potential compound for NSCLC patients.

A Misalignment Optical Guiding Module for Power Generation Enhancement of Fixed-Type Photovoltaic Systems.

: This study presents a misalignment light-guiding module to increase the effectiveness of absorbing light. For a general fixed-type photovoltaic (PV) panel, the misalignment light decreases the efficiency of the system. A solar tracking system was installed for obtaining higher power generation. However, the cost of the PV system and maintenance was 5-10 times higher than the general type. In this study, this module is composed of an array of misalignment light-guiding units that consist of a non-axisymmetric compound parabolic curve (NACPC) and a freeform surface collimator. The NACPC efficiently collects the misalignment light within ±30° and guides the light to the collimator. The light has a better uniformity and smaller angle at the exit aperture. The simulation results show that the optical efficiency of the unit was above 70% when the misalignment angle was smaller than 20°. The experimental results show that the power generation of the light-guiding unit was 1.8 times higher than the naked PV panel.

Crowdsourcing participatory evaluation of medical pictograms using Amazon Mechanical Turk.

BACKGROUND: Consumer and patient participation proved to be an effective approach for medical pictogram design, but it can be costly and time-consuming. We proposed and evaluated an inexpensive approach that crowdsourced the pictogram evaluation task to Amazon Mechanical Turk (MTurk) workers, who are usually referred to as the "turkers". OBJECTIVE: To answer two research questions: (1) Is the turkers' collective effort effective for identifying design problems in medical pictograms? and (2) Do the turkers' demographic characteristics affect their performance in medical pictogram comprehension? METHODS: We designed a Web-based survey (open-ended tests) to ask 100 US turkers to type in their guesses of the meaning of 20 US pharmacopeial pictograms. Two judges independently coded the turkers' guesses into four categories: correct, partially correct, wrong, and completely wrong. The comprehensibility of a pictogram was measured by the percentage of correct guesses, with each partially correct guess counted as 0.5 correct. We then conducted a content analysis on the turkers' interpretations to identify misunderstandings and assess whether the misunderstandings were common. We also conducted a statistical analysis to examine the relationship between turkers' demographic characteristics and their pictogram comprehension performance. RESULTS: The survey was completed within 3 days of our posting the task to the MTurk, and the collected data are publicly available in the multimedia appendix for download. The comprehensibility for the 20 tested pictograms ranged from 45% to 98%, with an average of 72.5%. The comprehensibility scores of 10 pictograms were strongly correlated to the scores of the same pictograms reported in another study that used oral response-based open-ended testing with local people. The turkers' misinterpretations shared common errors that exposed design problems in the pictograms. Participant performance was positively correlated with their educational level. CONCLUSIONS: The results confirmed that crowdsourcing can be used as an effective and inexpensive approach for participatory evaluation of medical pictograms. Through Web-based open-ended testing, the crowd can effectively identify problems in pictogram designs. The results also confirmed that education has a significant effect on the comprehension of medical pictograms. Since low-literate people are underrepresented in the turker population, further investigation is needed to examine to what extent turkers' misunderstandings overlap with those elicited from low-literate people.

[Study on the molecular epidemiology of hantaviruse carried by hosts in northern suburb of Beijing].

OBJECTIVE: To investigate hantanvirus infection of captured rodents in Haidian district and Changping district of Beijing and to type hantavirus using molecular technique. METHODS: The captured mice were classified and the density of distribution was calculated. Reverse transcription-polymerase chain reaction (RT-PCR) technique was used to amplify the partial M fragnments of hantaviruse. Several representative positive samples were sequenced and analysed by ClustalX (5.0) and DNAClub software. RESULTS: A total of 414 animals were captured, among which Battus norvegicus was the dominant group. In Haidian district, the median infection rates with hantavirus were 13.14% in Battus norvegicus and 0 in Mus musculus Linnaeus. In Changping district, the average infection rates were 17.46% in Battus norvegicus and 3.57% in Mus musculus Linnaeus. Nucleotide sequences analysis showed that the virus detected all belonged to SEO-type. They clustered with Z37 virus and could be branched into 2 different subclades. CONCLUSION: The major hosts of hantavirus in Haidian and Changping district were Battus norvegicus and the epidemic strains in the two districts of Beijing were genotyped as SEO-type. Nucleotide sequence and deduced amino acid sequence from different rodents were highly homologous, while nucleotide mutation had also been observed. Further studies are required to explore the possible virus sequence mutation.

[Spatial analysis on the distribution of hemorrhagic fever with renal syndrome by geographic information system in Haidian district, Beijing].

OBJECTIVE: To analyze the spatial distribution of hemorrhagic fever with renal syndrome (HFRS) in Haidian district, Beijing and to explore the geographical characteristics of HFRS in highly endemic areas. METHODS: Administration boundary layer was established under the background of 1:100,000 map in the ArcInfo 8.1 software. The HFRS cases from 1997 to 2002 were positioned on the map. Highly endemic areas were identified by spatial cluster analysis using SaTScan 3.0 software. Distribution of HFRS cases was shown in different colors and contours by spatial analysis of geographic information system (GIS). RESULTS: Spatial Cluster Analysis of confirmed cases of HFRS identified in 1997 - 2002 in Haidian district showed that HFRS patients were not randomly distributed. The highly endemic areas were founded in Sujiatuo township, Yongfeng township, Shangzhuang township, Wenquan town and Bei'anhe township (relative risk = 4.43, P = 0.001). A thematic map of HFRS in haidian district was set up. CONCLUSION: HFRS infections were not randomly distributed, since the distribution was related to geographic-environmental factors.

[Epidemiological characteristics of 403 patients with severe acute respiratory syndrome in Haidian district, Beijing].

OBJECTIVE: To analyze epidemiological features of severe acute respiratory syndrome (SARS) in Haidian district, Beijing. METHODS: Each SARS case was interviewed by trained investigator using standardized questionnaire followed a descriptive analysis. RESULTS: Four hundred and three SARS cases were identified and 27 of them died from March 18 and May 31, 2003. The incidence rate of SARS was 18.0/100,000 with case fatality rate as 6.7% in Haidian district, Beijing. Seventy-four percent of patients were adults with higher risk in age group of 20 - 29 year. SARS patients were scattered around in 32 out of 33 streets and villages in this district. The disease appeared to be sporadic but the case of outbreaks in family or university only seen in three streets. The course of SARS epidemic in this district could be divided into three phases: initial-which last for days, peak-21 days and then rapid decline-for 26 days. Number of patients having had a history of close contact to other SARS were gradually decreasing along with the process of the epidemics (trend chi(2) = 8.800, P = 0.003). Seventy-two point seven percent of the SARS cases had been exposed to the injection in the hospital settings. When the epidemics came to a rapid decline, 85.7% of the patients diagnosed during that period could be traced down to have had the history of contacting SARS cases within their own families. The distribution of occupation was also showed significantly different in the three respective stages (chi(2) = 36.41, P < 0.01). Among the patients who could not be identified as having confirmed contact history, 26.6% having had outward activities and 47.6% of them visited hospitals, especially during the peak stage. CONCLUSION: The intensity of SARS epidemic among the residents of Haidian district was recognized as similar to the other parts of Beijing. Nosocomial infection in hospital settings was most important cause responsible for the transmission of SARS in this district.