7 research outputs found
Comparison of Pseudomonas pseudomallei from humans, animals, soil and water by restriction endonuclease analysis.
Singapore Medical Journal36160-6
Antimicrobial activity of cathelicidin peptides against Burkholderia pseudomallei, the causative agent of melioidosis
10.1016/j.ijantimicag.2011.06.002International Journal of Antimicrobial Agents383270-271IAAG
Pseudomonas pseudomallei and sudden unexplained death in Thai construction workers
Lancet3368711376-377LANC
Flest unge på sosialhjelp : sosial trygghet
Det er i de yngre aldersgruppene vi finner flest personer som mottar sosialhjelp. Unge mellom 20 og 24 år er sterkest representert blant sosialhjelpsmottakerne. Dette er en gruppe som er ferdige med utdanning, men ennå ikke har tjent opp rett til arbeidsledighetstrygd. Unge uføre får også varig uførepensjon i større grad enn andre aldersgrupper
A satellite-based Standardized Antecedent Precipitation Index (SAPI) for mapping extreme rainfall risk in Myanmar
In recent decades, substantial efforts have been devoted in flood monitoring, prediction, and risk analysis for aiding flood event preparedness plans and mitigation measures. Introducing an initial framework of spatially probabilistic analysis of flood research, this study highlights an integrated statistical copula and satellite data-based approach to modelling the complex dependence structures between flood event characteristics, i.e., duration (D), volume (V) and peak (Q). The study uses Global daily satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) (spatial resolution of ∼5 km) during 1981–2019 to derive a Standardized Antecedence Precipitation Index (SAPI) and its characteristics through a time-dependent reduction function for Myanmar. An advanced vine copula model was applied to model joint distributions between flood characteristics for each grid cell. The southwest (Rakhine, Bago, Yangon, and Ayeyarwady) and south (Kayin, Mon, and Tanintharyi) regions are found to be at high risk, with a probability of up to 40% of flood occurrence in August and September in the south (Kayin, Mon, and Tanintharyi) and southwest regions (Rakhine, Bago, Yangon, and Ayeyarwady). The results indicate a strong correlation among flood characteristics; however, their mean and standard deviation are spatially different. The findings reveal significant differences in the spatial patterns of the joint exceedance probability of flood event characteristics in different combined scenarios. The probability that duration, volume, and peak concurrently exceed 50th-quantile (median) values are about 60–70% in the regions along the administrative borders of Chin, Sagaing, Mandalay, Shan, Nay Pyi Taw, and Keyan. In the worst case and highest risk areas, the probability that duration, volume, and peak exceed the extreme values, i.e., the 90th-quantile, about 10–15% in the southwest of Sagaing, southeast of Chin, Nay Pyi Taw, Mon and areas around these states and up to 30% in the southeast of Dekkhinathiri township (Nay Pyi Taw). The proposed approach could improve the evaluation of exceedance probabilities used for flood early warning and risk assessment and management. The proposed framework is also applicable at larger scales (e.g., regions, continents and globally) and in different hydrological design events and for risk assessments (e.g., insurance).Statistic