02789nas a2200265   4500008004100000022001400041245004700055210004700102260007300149300001200222490000700234520201400241653001502255653001002270653003302280653001302313653002502326653001902351653001402370653001002384100001802394700001402412700001702426856008002443       2006                        eng d  a0921-344900aPlastics materials flow analysis for India0 aPlastics materials flow analysis for India  aPO BOX 211, 1000 AE AMSTERDAM, NETHERLANDSbELSEVIER SCIENCE BVcJUN  a222-2440 v473 a<p>Forecasting material flows is essential for sound policy making on issues relating to waste management. This paper presents the results of the plastics materials flow analysis (MFA) for India. In the recent past, India has witnessed a substantial growth in the consumption of plastics and an increased production of plastic waste. Polyolefins account for the major share of 60% in the total plastics consumption in India. Packaging is the major plastics consuming sector, with 42% of the total consumption, followed by consumer products and the construction industry. The relationship observed between plastic consumption and the gross domestic product for several countries was used to estimate future plastics consumption (master curve). Elasticities of the individual material growth with respect to GDP were established for the past and for the next three decades estimated for India thereby assuming a development comparable with that of Western Europe. On this basis, the total plastics consumption is projected to grow by a factor of 6 between 2000 and 2030. The consumption of various end products is combined with their corresponding lifetimes to calculate the total waste quantities. The weighted average lifetime of plastics products was calculated as 8 years. Forty-seven percent of the total plastics waste generated is currently recycled in India; this is much higher than the share of recycling in most of the other countries. The recycling sector alone employs as many people as the plastics processing sector, which employs about eight times more people than the plastics manufacturing sector. Due to the increasing share of long-life products in the economy, and consequently in the volume of waste generated, the share of recycling will decrease to 35% over the next three decades. The total waste available for disposal (excluding recycling) will increase at least 10-fold up to the year 2030 from its current level of 1.3 million tonnes. (c) 2005 Elsevier B.V. All rights reserved.</p>10aemployment10aIndia10amaterial flow analysis (MFA)10aplastics10aplastics consumption10aplastics waste10aRecycling10areuse1 aMutha, N., H.1 aPatel, M.1 aPremnath, V.  uhttps://library.ncl.res.in/content/plastics-materials-flow-analysis-india-003254nas a2200493   4500008004100000022001400041245016200055210006900217260000800286300001800294490000700312520171400319653002802033653001302061653001802074653001002092653003102102653001202133653001802145653001502163653001502178653003402193100001802227700002002245700001802265700002302283700001902306700001902325700002102344700002102365700002102386700001902407700002402426700002502450700001802475700001802493700001902511700001602530700001902546700001902565700002602584700001902610856013102629       2023                        eng d  a0944-134400aGenomic surveillance reveals early detection and transition of delta to omicron lineages of SARS-CoV-2 variants in wastewater treatment plants of Pune, India0 aGenomic surveillance reveals early detection and transition of d  cDEC  a118976-1189880 v303 a<p>
	The COVID-19 pandemic has emphasized the urgency for rapid public health surveillance methods to detect and monitor the transmission of infectious diseases. The wastewater-based epidemiology (WBE) has emerged as a promising tool for proactive analysis and quantification of infectious pathogens within a population before clinical cases emerge. In the present study, we aimed to assess the trend and dynamics of SARS-CoV-2 variants using a longitudinal approach. Our objective included early detection and monitoring of these variants to enhance our understanding of their prevalence and potential impact. To achieve our goals, we conducted real-time quantitative polymerase chain reaction (RT-qPCR) and Illumina sequencing on 442 wastewater (WW) samples collected from 10 sewage treatment plants (STPs) in Pune city, India, spanning from November 2021 to April 2022. Our comprehensive analysis identified 426 distinct lineages representing 17 highly transmissible variants of SARS-CoV-2. Notably, fragments of Omicron variant were detected in WW samples prior to its first clinical detection in Botswana. Furthermore, we observed highly contagious sub-lineages of the Omicron variant, including BA.1 (similar to 28%), BA.1.X (1.0-72%), BA.2 (1.0-18%), BA.2.X (1.0-97.4%) BA.2.12 (0.8-0.25%), BA.2.38 (0.8-1.0%), BA.2.75 (0.01-0.02%), BA.3 (0.09-6.3%), BA.4 (0.24-0.29%), and XBB (0.01-21.83%), with varying prevalence rates. Overall, the present study demonstrated the practicality of WBE in the early detection of SARS-CoV-2 variants, which could help track future outbreaks of SARS-CoV-2. Such approaches could be implicated in monitoring infectious agents before they appear in clinical cases.</p>
10aBioinformatics pipeline10aCOVID-1910aEarly warning10aIndia10aNext-generation sequencing10aOmicron10aPublic health10aSARS-CoV-210awastewater10aWastewater-based epidemiology1 aRajput, Vinay1 aPramanik, Rinka1 aMalik, Vinita1 aYadav, Rakeshkumar1 aSamson, Rachel1 aKadam, Pradnya1 aBhalerao, Unnati1 aTupekar, Manisha1 aDeshpande, Dipti1 aShah, Priyanki1 aShashidhara, L., S.1 aBoargaonkar, Radhika1 aPatil, Dhawal1 aKale, Saurabh1 aBhalerao, Asim1 aJain, Nidhi1 aKamble, Sanjay1 aDastager, Syed1 aKarmodiya, Krishanpal1 aDharne, Mahesh  uhttps://library.ncl.res.in/content/genomic-surveillance-reveals-early-detection-and-transition-delta-omicron-lineages-sars-cov