Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model

Autor: Olisah, Chollette C., Ilori, Olusoji O., Adelaja, Kunle, Usip, Patience U., Uzoechi, Lazarus O., Adeyanju, Ibrahim A., Odumuyiwa, Victor T.

Publikováno v: Data Science for COVID-19

COVID-19: the new wave of a global pandemic, is bringing about an increasing number of scientific efforts aimed at enabling governments to make informed decisions. In this paper, we explore the negative binomial regression model from the family of ge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmc_________::7056ef8c11710c4febb5a7a97c273930
http://europepmc.org/articles/PMC8137713

31 - Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model

Autor: Olisah, Chollette C., Ilori, Olusoji O., Adelaja, Kunle, Usip, Patience U., Uzoechi, Lazarus O., Adeyanju, Ibrahim A., Odumuyiwa, Victor T.

Publikováno v: In Data Science for COVID-19 2021:583-596

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