The cloud computing architecture on which Google Earth Engine (GEE) is built efficiently handles satellite photos and keeps tabs on data sources. GEE has potential benefits and is being used more ...often in disaster management. This research aims to aid in flood risk management by developing a framework to rapidly quantify urban flood risk assessment utilizing Sentinel-1 on the GEE and socio-economic data using spatial analytic techniques in GIS. Specifically, this approach only evaluated the flood risk based on the flood events and their impact on social-economic aspects. The flood risk analysis results show that the impact of flood events in Thai Nguyen city is significant. Specifically, 33 educational institutions, 04 medical facilities, 116.46 ha of traffic road, 1406.42 ha of agricultural land, and 762.7 ha of residential land were affected by flood risk. The impact assessment maps provide detailed information on the quantities and locations of the affected areas. These assessments can assist local managers in preventing and minimizing damages, providing necessary information for implementing planning solutions, and appropriate land use in the future.
•Sentinel 1 and GEE for detecting the inundation areas.•Framework for evaluating flood consequences.•Recommendations of flood risk mitigation solutions for city government.
The under-representation of several ethnic groups in existing genetic databases and studies have undermined our understanding of the genetic variations and associated traits or diseases in many ...populations. Cost and technology limitations remain the challenges in performing large-scale genome sequencing projects in many developing countries, including Vietnam. As one of the most rapidly adopted genetic tests, non-invasive prenatal testing (NIPT) data offers an alternative untapped resource for genetic studies. Here we performed a large-scale genomic analysis of 2683 pregnant Vietnamese women using their NIPT data and identified a comprehensive set of 8,054,515 single-nucleotide polymorphisms, among which 8.2% were new to the Vietnamese population. Our study also revealed 24,487 disease-associated genetic variants and their allele frequency distribution, especially 5 pathogenic variants for prevalent genetic disorders in Vietnam. We also observed major discrepancies in the allele frequency distribution of disease-associated genetic variants between the Vietnamese and other populations, thus highlighting a need for genome-wide association studies dedicated to the Vietnamese population. The resulted database of Vietnamese genetic variants, their allele frequency distribution, and their associated diseases presents a valuable resource for future genetic studies.
Comprehensive profiling of actionable mutations in non-small cell lung cancer (NSCLC) is vital to guide targeted therapy, thereby improving the survival rate of patients. Despite the high incidence ...and mortality rate of NSCLC in Vietnam, the actionable mutation profiles of Vietnamese patients have not been thoroughly examined. Here, we employed massively parallel sequencing to identify alterations in major driver genes (EGFR, KRAS, NRAS, BRAF, ALK and ROS1) in 350 Vietnamese NSCLC patients. We showed that the Vietnamese NSCLC patients exhibited mutations most frequently in EGFR (35.4%) and KRAS (22.6%), followed by ALK (6.6%), ROS1 (3.1%), BRAF (2.3%) and NRAS (0.6%). Interestingly, the cohort of Vietnamese patients with advanced adenocarcinoma had higher prevalence of EGFR mutations than the Caucasian MSK-IMPACT cohort. Compared to the East Asian cohort, it had lower EGFR but higher KRAS mutation prevalence. We found that KRAS mutations were more commonly detected in male patients while EGFR mutations was more frequently found in female. Moreover, younger patients (<61 years) had higher genetic rearrangements in ALK or ROS1. In conclusions, our study revealed mutation profiles of 6 driver genes in the largest cohort of NSCLC patients in Vietnam to date, highlighting significant differences in mutation prevalence to other cohorts.
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