Notes

Correction: Building Health Services in a Rapidly Changing Panorama: Lessons within Flexible Control and also Pivots in the COVID-19 Rural Monitoring System.
Exogenous Spm could not reconstruct the tolerance to salinity-alkalinity stress in SlSPMS gene-silencing tomato seedlings. Taken together, exogenous Spm could induce the expression level of SlSPMS, which regulated the antioxidant enzyme system and ion homeostasis in tomato seedlings living in salinity-alkalinity environment, thereby improving the ability of tomato seedlings to resist salinity-alkalinity stress.Severe fever with thrombocytopenia syndrome (SFTS) is an emerging lethal tick-borne disease that has been widely prevalent in East Asia in recent years, and raised an important public health problem in China. However, a comprehensive and thorough understanding of the current SFTS epidemic areas in Shandong Province is not available. Accordingly, a descriptive analysis was applied to explore the demographic and spatio-temporal features of SFTS cases in Shandong Province from 2010 to 2015. The division between epidemic areas and non-epidemic areas was given by maximum entropy niche model (MaxEnt) based on environmental factors such as temperature and precipitation. There were 1,786 SFTS cases between 2010 and 2015 in Shandong, mainly involving middle-aged and elderly individuals (age40-80) and farmers (84.6 %). May-October was the high-incidence period and the SFTS cases were mostly clustered in the central and eastern regions of Shandong Province. In light of MaxEnt, 3 specific environmental features between dichotomous areas were identified, including 1) most epidemic areas are covered by acidic soils (Constituent ratio 63.8 %) while 29.1 % coverage appears in non-epidemic areas, 2) compared with non-epidemic areas, the identical kinds of agricultural areas accounted for a higher constituent ratio (64.9 % vs. 42.7 %), and 3) lower level of annual temperature in epidemic areas compared to non-epidemic areas [Median 13.2℃ vs. 14.2℃; (25th IQR, 75th IQR) (12.5, 13.7) vs. (13.6, 14.9)]. Our study suggests middle-aged and elderly farmers are high-risk population to be focused on in future prevention and acidic soils, agricultural activities as well lower temperature that may be related to increased SFTS incidence.Lyme borreliosis (LB) is the most common arthropod-borne disease in Europe and North America and is caused by members of the Borrelia burgdorferi sensu lato (Bbsl) species complex. These bacteria are transmitted by ixodid tick vectors and therefore human LB risk is influenced by the prevalence and distribution of Bbsl genospecies within tick vectors throughout the wild. These distributions can easily change over spatiotemporal scales and, to understand LB risk fully, up to date information on prevalence and distribution of Bbsl is required. The last survey of Bbsl in southern Germany, including parts of the Munich metropolitan area, was completed in 2006 and new data is needed. Ixodid ticks were collected in seven plots located in and around Munich, Germany, from March to July 2019 and were screened for Bbsl. Borrelia burgdorferi s. l. positive ticks (52 adults, 158 nymphs) were found in all plots and adults (0-61.5 % Bbsl positive/plot) and nymphs (17.4-59.5 % Bbsl positive/plot) did not differ significantly in their overall Bbsl prevalence. The number of Bbsl positive nymphs did vary significantly between plots but the number of positive adults did not. In total, six Bbsl genospecies were located with B. afzelii and B. garinii dominating. Additionally, the relapsing-fever species B. miyamotoi was found in two sampling plots. Our results highlight the variability in Bbsl prevalence and genospecies distribution over short geographic distances and aid in understanding LB risk in and around the Munich metropolitan area.
High total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) could be major risk factors for cardiovascular disease burden among high risk populations especially in South Asians. This systematic review and meta-analysis aimed to quantify the effects of coconut oil compared with other oils and fats on cardio-metabolic parameters.

PubMed, Scopus and Web of Science were systematically searched. The main outcomes included are lipid and glycemic parameters. Subgroup analyses were performed to evaluate individual comparisons of vegetable oils and animal fat with coconut oil. Data were pooled using random-effects meta-analysis.

Coconut oil consumption significantly increased TC by 15.42mg/dL (95% CI, 8.96-21.88, p<0.001), LDL-C by 10.14mg/dL (95% CI, 4.44-15.84, p<0.001) and high density lipoprorein cholesterol (HDL-C) by 2.61mg/dL (95% CI, 0.95-4.26, p=0.002), and significantly decreased glycosylated hemoglobin (HbA1c) by 0.39mg/dL (95% CI,-0.50 to-0.27, p<0.001) but, it had no effects on triglycerides (TG), (4.25mg/dL; 95% CI,-0.49-8.99, p=0.08) when compared with the control group. Sub-group analysis demonstrated that coconut oil significantly increased TC and LDL-C over corn, palm, soybean and safflower oils and not over olive oil. Compared with butter, coconut oil showed a better pattern in cardio-metabolic markers by significantly increasing HDL-C (4.38mg/dL, 95% CI, 0.40 to 8.36, p=0.03) and decreasing LDL-C (-14.90mg/dL, 95% CI,-23.02 to-6.77, p<0.001).

Our results suggest that coconut oil consumption results in significantly higher TC, LDL-C and HDL-C than other oils. click here Consumption of coconut oil can be one of the risk factors for CVDs in South Asians.
Our results suggest that coconut oil consumption results in significantly higher TC, LDL-C and HDL-C than other oils. Consumption of coconut oil can be one of the risk factors for CVDs in South Asians.One more chemo or one too many? The increasing use of expensive cancer treatments close to the patient's death is often explained by oncologists' failure to communicate to patients how close to dying they are, implying that patients are often both ill-prepared and over-treated when they die. This article aims at interrogating the politically charged task of prognosticating. Drawing on an ethnographic study of conversations between oncologists and patients with metastatic lung cancer in a Danish oncology clinic, I show that oncologists utilize, rather than avoid, prognostication in their negotiations with patients about treatment withdrawal. The study informs the emerging sociology of prognosis in three ways First, prognostication is not only about foreseeing and foretelling, but also about shaping the patient's process of dying. Second, oncologists prognosticate differently depending on the level of certainty about the patient's trajectory. To unfold these differences, the article provides a terminology that distinguishes between four 'modes of prognostication', namely hinting, informing, calibrating and organizing.
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