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00000cam a2200000Mu 4500 |
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EBOOKCENTRAL_on1281969566 |
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OCoLC |
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20240329122006.0 |
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m o d |
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211023s2021 xx o ||| 0 eng d |
040 |
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|a EBLCP
|b eng
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019 |
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|a 1280392648
|a 1280459129
|a 1280600153
|a 1281982584
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|a 9781802628364
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|a 1802628363
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|a AU@
|b 000073249178
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|a (OCoLC)1281969566
|z (OCoLC)1280392648
|z (OCoLC)1280459129
|z (OCoLC)1280600153
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|a RA644.C67
|b .U856 2021
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0 |
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|a 614.592414
|2 23
|
049 |
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|a UAMI
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100 |
1 |
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|a He, Wu.
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245 |
1 |
0 |
|a Using Data Science to Understand the Coronavirus Pandemic
|h [electronic resource].
|
260 |
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|a Bradford, West Yorkshire :
|b Emerald Publishing Limited,
|c 2021.
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300 |
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|a 1 online resource (81 p.).
|
490 |
1 |
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|a Information Discovery and Delivery Ser. ;
|v v.3
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500 |
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|a Description based upon print version of record.
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505 |
0 |
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|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
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505 |
8 |
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|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 |
|
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|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
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL6787965
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|a YBP Library Services
|b YANK
|n 17684008
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994 |
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|a 92
|b IZTAP
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