1 - Predictive models to the COVID-19

Autor: Bernardo Gois, Francisco Nauber, Lima, Alex, Santos, Khennedy, Oliveira, Ramses, Santiago, Valdir, Melo, Saulo, Costa, Rafael, Oliveira, Marcelo, Henrique, Francisco das Chagas Douglas Marques, Neto, José Xavier, Martins Rodrigues Sobrinho, Carlos Roberto, Lôbo Marques, João Alexandre

Publikováno v: In Data Science for COVID-19 2021:1-24

Contributors

Autor: Abayomi-Alli, A., Acheme, Ijegwa David, Adak, Chandranath, Adegboyega, Abayomi Emmanuel, Adelaja, Kunle, Adesemowo, A.K., Adeyanju, Ibrahim A., Aggarwal, Mayank, Agrawal, Prachi, Ahmad, Mohammad Aminu, Ahmed, Sana, Akinyemi, Ebenezer Ajayi, Amar Prabhu, G., Amour, Lamine, Aravinda, C.V., Arogundade, O.T., Aydın, Doğan, Banerjee, Jyoti Sekhar, Bernardo Gois, Francisco Nauber, Bezboruah, Tulshi, Bharati, Subrato, Bhardwaj, Suyash, Bora, Abhijit, Bourak, Hichem, Carrión-García, Andrés, Catak, Ferhat Ozgur, Chakraborty, Arpita, Chattopadhyay, Soumi, Chowdhury, Ranjana Roy, Costa, Rafael, De Falco, I., de Santana, Marcos Cleison, Della Cioppa, A., Dhiravida Chelvi, E., dos Santos, Claudio Filipi Gonçalves, Dutta, Ritam, Elahi, Hassan, Farooq, Muhammad Umar, Frezza, Fabrizio, Gandomi, Amir H., Ganesh, Talari, Gayathri, R., Ghosh, Debmitra, Ghosh, Papri, Grisales, Angela, Gudu, Emmanuel Bala, Guerra, Jorge Guerra, Guhathakurata, Soham, Gupta, Deepak, Handa, Richa, Hassan, Said Ali, Henrique, Francisco das Chagas Douglas Marques, Mondal, M. Rubaiyat Hossain, Hota, H.S., Ilori, Olusoji O., Isaac, Samson, Jabaloyes, José, Johnson, Titilayo Omolara, Joseph, Grace Gudu, Karaarslan, Enis, Karthiga, M., Kim, Hyoung Joong, Kim, Suah, Kose, Utku, Kumar, A. Saran, Kumar, Ambeshwar, Kundu, Souvik, Kızrak, Merve Ayyuce, Lawal, Olumide Mohammed, Lee, Sungho, Lima, Alex, Lin, Meng, Lôbo Marques, João Alexandre, Magesh, S., Manikandan, R., Martins Rodrigues Sobrinho, Carlos Roberto, Melo, Saulo, Mishra, Divya, Mohamed, Ali Wagdy, Mohan, Surapaneni Krishna, Mporas, Iosif, Müftüoğlu, Zümrüt, Munir, Khushboo, Muthazhagan, Balaji, Naronglerdrit, Prasitthichai, Narvaez, Alvaro Aspilcueta, Neto, José Xavier, Norwawi, Norita Md, Odumuyiwa, Victor T., Olaleye, T.O., Olisah, Chollette C., Oliveira, Marcelo, Oliveira, Ramses, Omale, Simeon, Painuli, Deepak, Panchapakesan, Aparnasri, Papa, João Paulo, Passos, Leandro Aparecido, Patan, Rizwan, Podder, Prajoy, Pradeep Mohan Kumar, K., Priya, Veeraraghavan Vishnu, Pustokhin, Denis Alexandrovich, Pustokhina, Irina Valeryevna, Quiniou, Matthieu, Ramesh, S., Rizzi, Antonello, Sahinbas, Kevser, Salgotra, Rohit, Samikannu, Ravi, Santiago, Valdir, Santos, Khennedy, Scafuri, U., Selvakumar, S., Shankar, K., Sharma, Dinesh K., Sheeba Rani, S., Sheikh-Akbari, Akbar, Lorate Shiny, M., Shrivas, A.K., Souihi, Sami, Sountharrajan, S., Soundariya, R.S., Sujathakrishamoorthy, Sundaramoorthy, Suriya, Tarantino, E., Thanh Tai, Duong, Tharsanee, R.M., Tlale, Taolo, Tucci-Piergiovanni, Sara, Udaya Kumar Reddy, K.R., Ullah, Waheed, Usip, Patience U., Uzoechi, Lazarus O., Verma, Nilesh, Vincent, Olufunke Rebecca, Wisdom, Daniel Dauda, Yahya, Abid, Yıldırım, Tülay

Publikováno v: In Data Science for COVID-19 2021:xxi-xxx