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465 results on '"Shrivastava Sandeep"'

6. Time from injury to hip-fracture surgery in low-income and middle-income regions: a secondary analysis of data from the International Orthopaedic Multicentre Study in Fracture Care (INORMUS)

Author

Guyatt, Gordon, Petrisor, Brad, Thabane, Lehana, Boniface, Respicious, Browner, Bruce, Pollak, Andrew, Slobogean, Gerard, Schemitsch, Emil, McKay, Paula, Tai, Kerry, Heels-Ansdell, Diane, Buckingham, Lisa, Norton, Robyn, Zhang, Jing, Parveen, Samina, Bhaumik, Soumyadeep, Morshed, Saam, Mackechnie, Madeline C., Zhang, Zhentao, Ma, Yinghua, Qin, Yanguo, Hu, Sanbao, Qi, Baochang, Dai, Wenjie, Cai, Xinyu, Rui, Gang, Chen, Hua, Shetty, Vijay, Dumbre Patil, Sampat, Patil, Sanjay, Shrivastava, Sandeep, Mittal, Ravi, Jepegnanam, Thilak Samuel, Mahajan, Anupam, Chhabra, Harvinder Singh, N, Rajagopalan, Amaravathi, Rajkumar S., Dhillon, Mandeep S., Chase, Asolie, Bhavsar, Neel M., Saadat, Soheil, Byanjankar, Subin, Qadir, Raja Irfan, Tabu, Irewin Alagar, Ponggsamakthai, Wanjak, Sa-ngasoongsong, Paphon, Subramanian, Panchu, Ndeleva, Benjamin Muluku, Lutomia, Mark, Otseyeno, Fred Mathew Toboso, Mwangi, Geoffrey Chege, Ndasi, Henry Tanyi, Konadu-Yeboah, Dominic, Firth, Gregory, Marealle, Paul, Temu, Rogers, Mutanda, Tony, Rio, Marcelo, Quintero, Jose Eduardo, Zuluaga, Mauricio, Minueza, Tomás, Madrigal, Ricardo, Ylizaliturri, Manuel, Garuz, Mario, Segovia Altieri, Julio, Escalante Elguezabal, Igor A., Armstrong, Elizabeth, Rogers, Kris, Li, Chuan Silvia, Jagnoor, Jagnoor, Moroz, Paul, Oguzie, Gerald Chukwuemeka, Hailu, Samuel, Miclau, Theodore, III, de la Huerta, Fernando, Martinez-Ruiz, Jose de Jesus, Bidolegui, Fernando, Zhou, Junlin, Ma, Xinlong, Wu, Bo, Sancheti, Parag, Quang, La Ngoc, Baigi, Vali, Haddadi, Mashyaneh, Tian, Maoyi, Sprague, Sheila, Devereaux, P J, Bhandari, Mohit, and Ivers, Rebecca

Published
2024
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17. RNA-Seq of untreated wastewater to assess COVID-19 and emerging and endemic viruses for public health surveillance

Author

Stockdale, Stephen R., Blanchard, Adam M., Nayak, Amit, Husain, Aliabbas, Nashine, Rupam, Dudani, Hemanshi, McClure, C. Patrick, Tarr, Alexander W., Nag, Aditi, Meena, Ekta, Sinha, Vikky, Shrivastava, Sandeep K., Hill, Colin, Singer, Andrew C., Gomes, Rachel L., Acheampong, Edward, Chidambaram, Saravana B., Bhatnagar, Tarun, Vetrivel, Umashankar, Arora, Sudipti, Kashyap, Rajpal Singh, and Monaghan, Tanya M.

Published
2023
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18. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17)

Author

Mohan, Viswanathan, Anjana, Ranjit Mohan, Unnikrishnan, Ranjit, Pradeepa, Rajendra, Deepa, Mohan, Sudha, Vasudevan, Nirmal, Elangovan, Subashini, Radhakrishnan, Venkatesan, Ulagamathesan, Nath, L M, Lakshmy, Ramakrishnan, Tandon, Nikhil, Mahanta, Jagadish, Madhu, Sri Venkata, Das, Ashok Kumar, Pandey, Arvind, Dhaliwal, Rupinder Singh, Kaur, Tanvir, Rao, Paturi Vishnupriya, Rao, Modugu Nageswara, Jampa, Lobsang, Kaki, T, Das, Hiranya Kumar, Borah, Prasanta Kumar, Kumar, Ajay, Sharma, Smita, Bhansali, Anil, Dash, Kalpana, Shrivas, Vijay Kumar, Krishnan, Anand, Desai, Ankush, Dias, Amit, Saboo, Banshi, Padhiyar, Jayendrasinh M, Kalra, Sanjay, Kalra, Bharti, Mokta, Jatinder Kumar, Gulepa, Ramesh, Dhandhania, Vinay Kumar, Adhikari, Prabha, Rao, Satish, Jabbar, Puthiyaveettil Kottayam, Jayakumari, C, Jain, Sunil M, Gupta, Gaurav, Joshi, Shashank, Yajnik, Chittaranjan S, Joshi, Prashant P, Ningombam, Somorjit, Singh, T B, Budnah, R O, Basaiawmoit, M R, Rosangluaia, Lalramenga, P C, Suokhrie, Vizolie, Tunyi, Sao, Tripathy, Saroj Kumar, Sahu, Nirmal Chandra, Purty, Anil Jacob, John, Mary, Gupta, Arvind, Gupta, B Lal, Shrivastava, Sandeep K, Tobgay, Karma Jigme, Kaleon, Tempo Tsewang, Reang, Taranga, Das, Swapan Kumar, Bajaj, Sarita, Mathur, Manoj Kumar, Modi, Sagar, Kakkar, Rakesh, Chowdhury, Subhankar, Ghosh, Sujoy, and Elangovan, Nirmal

Published
2023
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20. Compressive Strength Prediction of Aluminosilicate Precursors Based Geopolymers Through Artificial Neural Network (ANN)

Author

Das, Sourav Kumar, Shrivastava, Sandeep, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Das, B. B., editor, Gomez, Christy P., editor, and Mohapatra, Benu. G., editor

Published
2022
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30. A Review of Ecofriendly Brick Production: Exploring the Use of Fly Ash and Industrial Waste in the Construction Industry.

Author

Maaze, Mohammed Rihan, Das, Sourav Kumar, Garg, Nikhil, and Shrivastava, Sandeep

Subjects
FLY ash, CONSTRUCTION & demolition debris, INDUSTRIAL wastes, GREENHOUSE gases, WASTE products, BRICKS
Abstract

The paper investigates the global reliance on bricks as a primary construction material, compared with the diminishing availability of natural resources for producing traditional burnt clay bricks. Highlighting the environmental footprint of conventional brickmaking processes, including significant energy consumption, greenhouse gas emissions, and the depletion of fertile topsoil, this review underlines the overbearing for sustainable alternatives. It explores into the incorporation of industrial byproducts, such as fly ash, into brick manufacturing as a viable solution to enhance environmental sustainability and avoid resource scarcity. Through a critical examination of the challenges faced by traditional fired clay bricks, this paper presents the technological innovations in utilizing fly ash and other waste materials for brick production. It also assesses the role of Indian government policies in fostering waste management strategies conducive to ecofriendly brick production. Special attention is given to the process and benefits of fabricating fly ash bricks in north India, noting the potential improvements in thermal and mechanical properties achieved by integrating diverse waste materials. Despite the potential benefits and existing research, the transition to commercial production of waste-material bricks encounters obstacles, including specific production challenges, potential contamination risks, regulatory gaps, and market acceptance issues. The review advocates for comprehensive research and innovation to overcome these barriers, emphasizing the need for standardized production methods, supportive policy frameworks, and educational reforms. This multidimensional approach aims to propel the construction industry toward widespread adoption of ecofriendly brick production techniques, leveraging fly ash and industrial wastes to meet the dual goals of sustainability and resource efficiency in the construction sector. [ABSTRACT FROM AUTHOR]

Published
2025
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37. Delays in hospital admissions in patients with fractures across 18 low-income and middle-income countries (INORMUS): a prospective observational study

Author

Bhandari, Mohit, Devereaux, PJ, Guyatt, Gordon, Petrisor, Brad, Thabane, Lehana, Boniface, Respicious L., Browner, Bruce, de la Huerta, Fernando, Ivers, Rebecca Q, Miclau, Theodore, III, Moroz, Paul, Pollak, Andrew, Slobogean, Gerard, Sancheti, Parag, Schemitsch, Emil, Zhou, Junlin, Sprague, Sheila, McKay, Paula, Li, Chuan Silvia, Mundi, Raman, O'Hara, Nathan, Heels-Ansdell, Diane, Buckingham, Lisa, Simunovic, Nicole, Jagnoor, Jagnoor, Norton, Robyn, Zhang, Jing, Tian, Maoyi, Bhaumik, Soumyadeep, Parveen, Samina, Morshed, Saam, MacKechnie, Madeline C., Liu, Yang, Zhao, Yanrui, Li, Junfei, Zhang, Haoran, Zhang, Zhentao, Zhang, Wei, Guo, Tao, Chen, Guang, Jia, Zichao, Yang, Jianzhong, Kang, Lixing, Zhang, Peng, Ma, Haoqing, Liu, Donghai, Ma, Yinghua, Qin, Yanguo, Wang, Jincheng, Liu, He, Ma, Xinlong, Ma, Jianxiong, Jia, Haobo, Cui, Shuangshuang, Zhao, Zhihu, Fu, Lin, Jiang, Hongqiang, Lv, Jianwei, Hu, Sanbao, Wang, Yongwei, Sun, Mingyao, Tao, Shuqing, Qi, Baochang, Gao, Ming, Wu, Bo, Zhi, Chunsheng, Xing, Ben, Yang, Jun, Dai, Wenjie, Lu, Duo, He, Shisheng, Cai, Xinyu, Liu, Gejun, Rui, Gang, Hu, Baoshan, Shi, Pingfang, Chen, Hua, Wang, Te, Wang, Qingqing, Xie, Linzhen, Xie, Huanguang, Mutanda, Tony, Ntuulo, Juliet, Lubega, Flavia, Tracy, Gayita Teddy, Zaitun, Kayondo, Ndayisaba, Sylvester, Amone, Titus, Odong, Samuel Remmy, Lutomia, Mark, Okatch, Caesar, Bitok, Thomas, Kiambuthi, Alexander, Otsyeno, Fred Mathew Toboso, Jani, Pankaj G, Mutiso, Vincent Muoki, Ating'a, John EO, Kilonzo, Peter Kavoo, Muoki, James, Mbogori, Makena, Wambugu, Joan Wambui, Torutt, Dorothy, Odok, Christopher, Ngetich, Elisha, Otsyeno, Dean, Wakhayanga, Juma, Nzioka, Desmond, Owende, Deogracia, Lucinde, Ruth, Kariuki, Brian Ngure, Kinyua, Dennis, Kamau, Maureen, Mwancha, Maureen, Murgor, Mellany, Nyabuti, Marilyn, Njoki, Rita, Wanza, Patricia, Odongo, Abraham, Marealle, Paul, Wanini, Athman, Elisha, Marwa, Zumbulu, Damas, Godfrey, Pariyo Bonane, Ndeleva, Benjamin Mukulu, Johnson, Murila, Kimani, Moses, Gichui, Kinuthia, Temu, Rogers Joachin, Mselle, Angela Neofitus, Kimario, Ancelimu Rafael, Ramokgopa, Mmampapatla Thomas, Firth, Gregory, Biscardi, Anna Grisillo, Poopedi, Machuene Ananias, Moolman, Johan, Milner, Brenda, Maluleke, Matimba, Jingo, Maxwell, van Deventer, Susan, Pikor, Timothy, Bhaga, Ravi, Mara, Michael, Mwangi, Geoffrey Chege, Maina, Anthony Muchiri, Gicheru, David Wamae, Mwangi, Carol, Wangai, Isaac Kingori, Maina, Peter Watson, Kiptoo, Ezra Mitei, Temiloluwa, Olufemi Olukemi, Ikechukwu, Adeyeye Adeolu, Olugbenga, Ige Oluwole, Bamidele, Ojodu Ishaq, Akanbi, Oladimeji Oladipupo, Subramanian, Panchu, Mosweu, Olivia L, Hailu, Samuel, Tessema, Geletaw, Bezabih, Bahiru, Ayana, Birhanu, Hailu, Hiwot, Zewdneh, Betelhem, Tesfaye, Hana, Tadesse, Sosena, Konadu-Yeboah, Dominic, Ativor, Vincent, Konadu, Peter, Awariyah, Dominic, Quartey, Raphael, Kumah-Ametepey, Raphael, Saani, Osman, Quansah, Robert Ekow, Baidoo, Paa Kwesi, Trafton, Peter, Anyitey-Korkor, David, Leat, Michael, Sobotie, Johnny, Opuni, Godwin, Kusi, Kwasi, Baah, Twimasi, Okyere, Paul, Mensah, Bernice, Sarpong, Doris Akuoko, Agbenorwu, Felicia, Osei-Donkor, Phyllis, Opoku, Priscilla, Segbefia, Michael, Oguzie, Gerald Chukwuemeka, Iyidobi, Emmanuel Chino, Nwadinigwe, Cajetan Uwatoronye, Oguzie, Sharon Amarachi Uloma, Kesiena, Emina Bami, Ndasi, Henry Tanyi, Ghislain, Nietiayurk Aminake, Shey, Mala Irine, Nanje, Ikose John, Shyam, Ashok, Borate, Madhav, Patil, Sampat Dumbre, Karkamakar, Sachin, Patil, Shailesh, Ranaware, Abhijeet, Tamboli, Shadab, Gandhalikar, Manish, Tupe, Rohini, Chaudhari, Vishal, Joshi, Avanti, Patil, Sanjay, Dalwekar, Mohit Madhukar, Gandhi, Tejas, Latkar, Chintamani, Pundkare, Gopal, Shrivastava, Sandeep, Singh, Pradeep K, Deshpande, Sanjay, Baheti, Sumit, Mittal, Ravi, Sharma, Vijay, Cherian, Vinoo Mathew, Jepegnanam, Thilak Samuel, Titus, Vijay T K, Nithyananth, Manasseh, Boopalan, Palapattu R J V C, Varghese, Viju Daniel, Arockiaraj, Justin, Mahajan, Anupam, John, Bobby, Pandey, Ritesh, Prakash, Jeewan S, Abraham, Valsamma, Rajkumar, Arti, Chhabra, Harvinder Singh, Sharawat, Rajesh, Kumar, Ritabh, Chawla, Pushkar, Yadav, Rashmi, Iyer, Rajagopalan N, Nair, Naveen, Amaravathi, Rajkumar S, Santhanagopa, Srinivasalu, Pilar, Anoop, Tamboowala, Keith Behram, Dhillon, Mandeep S, Dhatt, Sarvdeep S, Chase, Asolie, Bhavsar, Neel M, Musa, Rameez, Shah, Darshan, Chodavadiyah, Sunil, Patel, Pankaj G, Qadir, Raja Irfan, Bukhari, Syed Imran, Baz, Khushnood Ali, Byanjankar, Subin, Joshi, Ruban Raj, Dwivedi, Rajeev, Sharma, Jay Raj, Quang, La Ngoc, Chinh, Nguyen Duc, Hong, Vu Bao, Sa-ngasoongsong, Paphon, Kulachote, Noratep, Sirisreetreerux, Norachart, Pongsamakthai, Wanjak, Tabu, Irewin Alagar, Reyes, Paula Veronica, Caiquep, Iardinne, Bituin, Joni Mitchell Robles, González, Jenna, Golbakhsh, Mohammadreza, Haddadi, Mashyaneh, Saadat, Soheil, Zafarghandi, Mohammadreza, Orozco, Clotilde Fuentes, Ruíz, José de Jesús Martínez, Arreguin, Gustavo Armando Tafoya, Flores, César Eduardo Pinedo, Verduzco, Irydia Guadalupe Pellegrini, Camacho, Miguel Oscar Hernandez, Téllez, Diego Abraham Estrada, López, Rodrigo Salcedo, Navarro, Ileana Guadalupe Canales, Pérez, Mizael Dennis, Carrillo, Daniel de Jesús Enciso, López, Paola Alejandra Álvarez, Gómez, Adán Cervantes, Bravo, Fátima Nohemí Franco, Arias, Eugenia de los Ángeles Reyes, Elguezabal, Igor A. Escalante, Rizzo, Ennio Antonio, Hovsepian, Jean Michel, Rodriguez, Victor, Baldo, Manuel Malaret, Serrano, Andres, Valenciano, Carlos G. Sanchez, Salcedo, Edgar Efren Mercado, Medina, Fryda, Bidolegui, Fernando, Pereira, Sebastian, Aguilar, Gerardo, Rubio-Avila, Jorge, Belangero, William Dias, Mariolani, José Ricardo Lenzi, Livani, Bruno, Lugnani, André, Rossi, Felipe, Katayama, Angela, Baldy, Fernando, de Moraes, Vinícius Ynoe, Fogagnolo, Fabricio, Kojima, Kodi Edson, Silva, Jorge dos Santos, Demange, Marco Kawamura, de Andrade-Silva, Fernando Brandão, da Silva, Adriana Carvalho Gomes, Elias, Nelson, Martinez, Dino Aguilar, Contreras, Fernando, Garuz, Mario, Quintero, Jose Eduardo, Merchan, Gavino, Lurita, Christian M. Lozano, Manrique, Aturo D. Torres, Fernandez, Jorge Hurtado, Vincenti, Sergio Iriarte, Bobarin, Alfredo Pozzo, Sanchez, Dalton Salinas, Altieri, Julio Segovia, Almada, Diego, Bogado, Derlis, Coronel, Carlos, Boveda, Cristian, del Valle, Victor, Montiel, Carlos, Marin, Nelson, Barquet, Antonio, Rienzi, Daniel, Amanquez, Carlos, Beauvoir, Georges, Cutipa, Iván J Salce, Ribeiro, José Eduardo Grandi, Avila, José María Jiménez, Padilla, Luis, Ochoa, Hernando Cuevas, Cano, Hernando Cuevas, González, Adriana Vaca, Gutierrez, Nubia Itzel Gonzalez, Espinola, Victor, Pouramin, Panthea, Busse, Jason W, Devereaux, P J, and Ivers, Rebecca

Published
2020
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38. Population infection estimation from wastewater surveillance for SARS-CoV-2 in Nagpur, India during the second pandemic wave

Author

Acheampong, Edward, primary, Husain, Aliabbas A., additional, Dudani, Hemanshi, additional, Nayak, Amit R., additional, Nag, Aditi, additional, Meena, Ekta, additional, Shrivastava, Sandeep K., additional, McClure, Patrick, additional, Tarr, Alexander W., additional, Crooks, Colin, additional, Lade, Ranjana, additional, Gomes, Rachel L., additional, Singer, Andrew, additional, Kumar, Saravana, additional, Bhatnagar, Tarun, additional, Arora, Sudipti, additional, Kashyap, Rajpal Singh, additional, and Monaghan, Tanya M., additional

Published
2024
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45. Population infection estimation from wastewater surveillance for SARS-CoV-2 in Nagpur, India during the second pandemic wave

Author

Acheampong, Edward, Husain, Aliabbas A., Dudani, Hemanshi, Nayak, Amit R., Nag, Aditi, Meena, Ekta, Shrivastava, Sandeep K., McClure, Patrick, Tarr, Alexander W., Crooks, Colin, Lade, Ranjana, Gomes, Rachel L., Singer, Andrew, Kumar, Saravana, Bhatnagar, Tarun, Arora, Sudipti, Kashyap, Rajpal Singh, Monaghan, Tanya M., Acheampong, Edward, Husain, Aliabbas A., Dudani, Hemanshi, Nayak, Amit R., Nag, Aditi, Meena, Ekta, Shrivastava, Sandeep K., McClure, Patrick, Tarr, Alexander W., Crooks, Colin, Lade, Ranjana, Gomes, Rachel L., Singer, Andrew, Kumar, Saravana, Bhatnagar, Tarun, Arora, Sudipti, Kashyap, Rajpal Singh, and Monaghan, Tanya M.

Abstract

Wastewater-based epidemiology (WBE) has emerged as an effective environmental surveillance tool for predicting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease outbreaks in high-income countries (HICs) with centralized sewage infrastructure. However, few studies have applied WBE alongside epidemic disease modelling to estimate the prevalence of SARS-CoV-2 in low-resource settings. This study aimed to explore the feasibility of collecting untreated wastewater samples from rural and urban catchment areas of Nagpur district, to detect and quantify SARS-CoV-2 using real-time qPCR, to compare geographic differences in viral loads, and to integrate the wastewater data into a modified Susceptible-Exposed-Infectious-Confirmed Positives-Recovered (SEIPR) model. Of the 983 wastewater samples analyzed for SARS-CoV-2 RNA, we detected significantly higher sample positivity rates, 43.7% (95% confidence interval (CI) 40.1, 47.4) and 30.4% (95% CI 24.66, 36.66), and higher viral loads for the urban compared with rural samples, respectively. The Basic reproductive number, R0, positively correlated with population density and negatively correlated with humidity, a proxy for rainfall and dilution of waste in the sewers. The SEIPR model estimated the rate of unreported coronavirus disease 2019 (COVID-19) cases at the start of the wave as 13.97 [95% CI (10.17, 17.0)] times that of confirmed cases, representing a material difference in cases and healthcare resource burden. Wastewater surveillance might prove to be a more reliable way to prepare for surges in COVID-19 cases during future waves for authorities.

Published
2024

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