Cargando…

Using Data Science to Understand the Coronavirus Pandemic

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: He, Wu
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bradford, West Yorkshire : Emerald Publishing Limited, 2021.
Colección:Information Discovery and Delivery Ser.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mu 4500
001 EBOOKCENTRAL_on1281969566
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |||||||||||
008 211023s2021 xx o ||| 0 eng d
040 |a EBLCP  |b eng  |c EBLCP  |d YDX  |d EBLCP  |d SFB  |d OCLCQ  |d OCLCF  |d OCLCO  |d OCLCQ  |d OCLCL 
019 |a 1280392648  |a 1280459129  |a 1280600153  |a 1281982584 
020 |a 9781802628364 
020 |a 1802628363 
029 1 |a AU@  |b 000073249178 
035 |a (OCoLC)1281969566  |z (OCoLC)1280392648  |z (OCoLC)1280459129  |z (OCoLC)1280600153  |z (OCoLC)1281982584 
050 4 |a RA644.C67  |b .U856 2021 
082 0 4 |a 614.592414  |2 23 
049 |a UAMI 
100 1 |a He, Wu. 
245 1 0 |a Using Data Science to Understand the Coronavirus Pandemic  |h [electronic resource]. 
260 |a Bradford, West Yorkshire :  |b Emerald Publishing Limited,  |c 2021. 
300 |a 1 online resource (81 p.). 
490 1 |a Information Discovery and Delivery Ser. ;  |v v.3 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Guest editorial -- Twitter users' coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods -- A comparative study of modified SIR and logistic predictors using local level database of COVID-19 in India -- An agent-based model for simulating COVID-19 transmissions on university campus and its implications on mitigation interventions: a case study -- An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic 
505 8 |a An analysis of attitude of general public toward COVID-19 crises -- sentimental analysis and a topic modeling study -- COVID-19 and India: what next? -- Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a COVID-19 Pandemic, 2020-  |x Geographic information systems. 
650 6 |a Pandémie de COVID-19, 2020-  |x Systèmes d'information géographique. 
647 7 |a COVID-19 Pandemic  |d (2020-)  |2 fast  |0 (OCoLC)fst02024716  |1 https://id.oclc.org/worldcat/entity/E39Qhp4vB9ppxymcDb8984mKfy 
648 7 |a Since 2020  |2 fast 
655 7 |a Geographic information systems  |2 fast 
758 |i has work:  |a Using Data Science to Understand the Coronavirus Pandemic (Text)  |1 https://id.oclc.org/worldcat/entity/E39PD3b9Y3CQcpvFP7h6wGKx8P  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a He, Wu  |t Using Data Science to Understand the Coronavirus Pandemic  |d Bradford, West Yorkshire : Emerald Publishing Limited,c2021 
830 0 |a Information Discovery and Delivery Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6787965  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL6787965 
938 |a YBP Library Services  |b YANK  |n 17684008 
994 |a 92  |b IZTAP