The impact of climate factors on the epidemiology of diseases in general and leishmaniasis in particular continues to be a subject of research and analysis. Changes in climatic parameters contribute to the creation of ecological conditions favorable to the multiplication of the vectors of certain diseases. With this in mind, this study presents an entomological survey conducted in Meknes prefecture and the study of the link between the abundance of sandflies, an indicator of the risk of leishmaniasis in a given area, and the climatic factors. Monthly trapping of this fauna was carried out during a year from March 2016 until April 2017 using adhesive traps. Climatic data from the region were used to determine the effect of climate on the distribution of sandflies. A total of 941 leishmaniasis vector specimens were captured. The dominant species is Ph. sergenti (73.32), followed by Ph. longicuspis (8.25%), then Ph. perniciosus (7.94%) and Ph. papatasi (6.31%). The sex ratio study showed that males are more abundant than females for all species. The seasonal fluctuation is bimodal with two peaks, the first in July and the second in September. The results show a positive correlation between temperature and abundance of sandflies (r = 0.99) and a negative correlation with humidity and precipitation with a correlation coefficient of r = -0.87 and r = -0.72. Indeed, the medium-term climatological forecasts are essential tools to develop a warning system for leishmaniasis. Urinary tract infection is one of the most common bacterial infections encountered in pregnant women with significant morbidity. This study aimed to determine the bacterial profile and its antimicrobial susceptibility pattern of urinary tract infection among pregnant women attending antenatal care (ANC) at a Hawassa University Comprehensive Specialized Hospital (HUCSH), Southern Ethiopia. A cross-sectional study was conducted in which consecutive pregnant women enrolled in the study from March to June 2019. The structured questionnaire used to collect sociodemographic and clinical data in a face-to-face interview. Midstream urine was collected from pregnant women using sterile containers. Culture and sensitivity were performed using a standard operating procedure of the microbiology laboratory. Data entry and analysis were conducted using the statistical package for social sciences (SPSS) version 20. Descriptive and logistic regression was used to conduct the output of the data. The odds ratio at 95% confction during pregnancy will improve the quality of antenatal care further reducing complication. The above antibiotics can be prescribed based on the side effect to pregnant women in case empirical treatment is mandatory in the study area.The objective of this study was to determine the prevalence of food and nutrition insecurity and assess the socio-demographic factors associated with food and nutrition insecurity among 146 free-living elderly persons attending a care centre in Sharpeville, South Africa. Measurement instruments included socio-demographic-, 24-hour-recall and dietary diversity questionnaires and the validated household food insecurity access scale/score (HFIAS). Data were analysed with IBM SPSS Software, version 25.0. The prevalence of food insecurity from HFIAS was 60% (n = 87), with a variety of balanced responses being employed. Significant relationships were observed between HFIAS and age (r = 0.301; p = 0.000) and with household income (r = -0.258; p = 0.007). https://www.selleckchem.com/products/ly333531.html An association was observed between HFIAS and marital status (p = 0.005). Regression analysis showed that age and being single were predictors of food and nutrition insecurity. This study indicated a problem of household food insecurity with poor dietary intakes among these elderly people, mostly due to poverty and being single. More research on associations between food security and socio-economic variables is needed to plan and implement appropriate strategies to address food and nutrition insecurity in South Africa. Zukamu granules may play a potential role in the fight against the Coronavirus, COVID-19. The purpose of this study was to explore the mechanisms of Zukamu granules using network pharmacology combined with molecular docking. The Traditional Chinese Medicine systems pharmacology (TCMSP) database was used to filter the active compounds and the targets of each drug in the prescription. The Genecards and OMIM databases were used for identifying the targets related to COVID-19. The STRING database was used to analyze the intersection targets. Compound - target interaction and protein-protein interaction networks were constructed using Cytoscape to decipher the anti-COVID-19 mechanisms of action of the prescription. The Kyoto Encyclopedia of Genes and Genome (KEGG) pathway and Gene Ontology (GO) enrichment analysis was performed to investigate the molecular mechanisms of action. Finally, the interaction between the targets and the active compounds was verified by molecular docking technology. A total of 66 targets were identified. Further analysis identified 10 most important targets and 12 key compounds. Besides, 1340 biological processes, 43 cell compositions, and 87 molecular function items were obtained ( < 0.05). One hundred and thirty pathways were obtained ( < 0.05). The results of molecular docking showed that there was a stable binding between the active compounds and the targets. Analysis of the constructed pharmacological network results allowed for the prediction and interpretation of the multi-constituent, multi-targeted, and multi-pathway mechanisms of Zukamu granules as a potential source for supportive treatment of COVID-19. Analysis of the constructed pharmacological network results allowed for the prediction and interpretation of the multi-constituent, multi-targeted, and multi-pathway mechanisms of Zukamu granules as a potential source for supportive treatment of COVID-19. This study is aimed at exploring which indicator can predict the discordance between DXA and QCT. 192 female patients who took BMD screening tests by QCT and DXA were recruited, and the biomarkers were analyzed to study the relationship between the biomarkers and the discordance of two BMD screening methods. There are 42, 78, and 72 female patients in the normal, osteopenia, and osteoporosis groups defined by DXA and 6, 54, and 132 female patients in the corresponding group defined by QCT. DXA was less sensitive than QCT. Cholesterol (CHO) and triglyceride (TG) were all negatively correlated with the discordance between these two methods. When TG > 0.89 mmol/L, the QCT result would be the same as the DXA's; otherwise, there should be discordance between QCT and DXA. Triglyceride can be used to predict the discordance between QCT and DXA, and clinicians can evaluate patients' DXA results based on patient triglyceride or cholesterol results as a supplement to QCT results. Triglyceride can be used to predict the discordance between QCT and DXA, and clinicians can evaluate patients' DXA results based on patient triglyceride or cholesterol results as a supplement to QCT results.