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Many tropical river systems have altered water quality due to human land use, impacting the biodiversity of freshwater and coastal ecosystems. Long-term, catchment-scale monitoring is needed to understand pollutant sources, controls, and trends. This 12-year study monitored baseflow and flood event nutrient and sediment concentrations, and estimated sediment loads across the Normanby Basin in northern Australia. Suspended sediment concentrations and yields were highest in upper catchment areas where cattle grazing occurred on erosion-prone sodic soils. Mid- and lower catchment rivers and floodplains were a sink for sediments and nutrients, trapping around 75% of suspended sediments during events. Clays ( less then 4 μm) were preferentially transported to the estuary, with an estimated 46% sediment delivery ratio. In the estuary, suspended sediment concentrations were influenced by tidal resuspension processes and there were significant sources of DIN. These findings can help prioritise land management investments for the protection of Great Barrier Reef and freshwater ecosystems.The study investigated the important epidemiological parameters and farm-level economic costs of FMD incidence in cattle and buffaloes during 2013-14 to 2015-16 in various states of India. Multistage random sampling procedure was adopted for the primary survey and data was collected through face-to-face personal interview from 18,609 cattle and buffalo rearing farm households from 123 districts across twelve states and one Union Territory. Besides epidemiological parameters, different farm-level direct and indirect loss associated with FMD was assessed at disaggregated level (states) by employing deterministic mathematical models. ABT-199 ic50 Highest number of affected villages and disease incidence was observed in non- FMD control programme (FMD-CP) implemented Madhya Pradesh and Assam states, respectively whereas negligible incidence was in FMD-CP implemented Punjab state. The disease incidence was high during 2013-14 and declined during 2014-15 and 2015-16, respectively implied severe incidence scenario (2013-14) succic loss projected due to FMD in cattle and buffaloes in India was USD 3159 million (INR 221,110 million), USD 270 million (INR 18,910 million) and USD 152 million (INR 10,610 million), respectively during the severe, moderate and mild incidence scenarios at 2015-16 constant prices. The loss varied across the states, and in severe incidence scenario, the country might lose USD 3.2 billion/year and hence, the bi-annual vaccination schedule need to be strictly implemented in all the states. Besides timely vaccination coverage, managing unabated animal movement, educating and motivating the farmers to vaccinate their animals might reduce the incidence and consequential losses to various stakeholders in endemic states like India.The movements of backyard poultry and wild bird populations are known to pose a disease risk to the commercial poultry industry. However, it is often difficult to estimate this risk due to the lack of accurate data on the numbers, locations, and movement patterns of these populations. The main aim of this study was to evaluate the use of three different data sources when investigating disease transmission risk between poultry populations in New Zealand including (1) cross-sectional survey data looking at the movement of goods and services within the commercial poultry industry, (2) backyard poultry sales data from the online auction site TradeMe®, and (3) citizen science data from the wild bird monitoring project eBird. The cross-sectional survey data and backyard poultry sales data were transformed into network graphs showing the connectivity of commercial and backyard poultry producers across different geographical regions. The backyard poultry network was also used to parameterise a Susceptible-Infectious ed as coastal seabirds or wading birds that showed little overlap with either backyard or commercial poultry. Overall, our study findings highlight how the spatial patterns of trading activity within the commercial poultry industry, alongside the movement of backyard poultry and wild birds, have the potential to contribute significantly to the spread of diseases between these populations. However, it is clear that in order to fully understand this risk landscape, further data integration is needed; including the use of additional datasets that have further information on critical variables such as environmental factors.Epidemiological surveys that investigate infectious diseases such as enzootic bovine leukosis (EBL) are important. Furthermore, estimating the prevalence of such infectious diseases and associated factors is key to assess the disease impact and design control programs. In this study, we identified a high herd-level seroprevalence of EBL in cattle from the semi-arid Paraíba state, Northeast Region of Brazil, using a planned cross-sectional survey. Herd-level and animal-level prevalence were estimated using a two-stage random sampling survey. In total, 2067 cows aged ≥24 months from 400 herds were sampled. An enzyme-linked immunosorbent assay was used to detect specific antibodies directed to the bovine leukosis virus gp51 antigen in both individual and pooled sera. The herd-level and animal-level prevalence was 23.4 % (95 % CI = 19.2-28.1 %) and 10.8 % (95 % CI = 7.5 %-15.3 %), respectively. There were no significant clusters of positive herds (within a radius of 2 km). The factors associated with herd-level prevalence were the exclusive use of hand milking (prevalence ratio [PR] = 1.88), herd size (PR = 1.005), artificial insemination (PR = 2.03), purchase of animals in the previous year (PR = 1.87), and peri-urban farms (PR = 2.09). Prevention measures should be applied at the herd-level, particularly for farms located in peri-urban areas, focusing on good hygiene in hand milking, robust practices and standards for artificial insemination, and serological testing of animals prior to purchase.Narcolepsy, a sleep disorder characterized by loss of hypocretin neurons, has been associated with metabolic disturbances. Although the metabolic alterations in narcolepsy patients are widely investigated in the literature, the results are controversial. We performed a systematic search of literature to identify metabolic profiling studies in narcolepsy patients. A total of 48 studies were included in the meta-analysis. Narcolepsy patients exhibited higher prevalence of obesity (log OR = 0.93 [0.73-1.13], P less then 0.001), diabetes mellitus (log OR = 0.64 [0.34, 0.94], P less then 0.001), hypertension (log OR = 0.33 [0.11, 0.55], P less then 0.001), and dyslipidemia (log OR = 1.19 [0.60, 1.77], P less then 0.001) compared with non-narcoleptic controls. Narcolepsy was associated with higher BMI (SMD = 0.50 [0.32-0.68], P less then 0.001), waist circumference (MD = 8.61 [2.03-15.19], P = 0.01), and plasma insulin (SMD = 0.61 [0.14-1.09], P = 0.01). Levels of fasting blood glucose (SMD = -0.25 [-0.61,0.
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