000 04687naaaa2201153uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/76946
005 20220220042454.0
020 _abooks978-3-0365-2350-7
020 _a9783036523491
020 _a9783036523507
024 7 _a10.3390/books978-3-0365-2350-7
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aMBN
_2bicssc
100 1 _aAhmed, Wasim
_4edt
700 1 _aVidal-Alaball, Josep
_4edt
700 1 _aAhmed, Wasim
_4oth
700 1 _aVidal-Alaball, Josep
_4oth
245 1 0 _aSocial Media and Public Health: Opportunities and Challenges
260 _aBasel, Switzerland
_bMDPI - Multidisciplinary Digital Publishing Institute
_c2021
300 _a1 electronic resource (256 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aSocial media has the potential to provide rapid insights into unfolding public health emergencies such as infectious disease outbreaks. They can also be drawn upon for rapid, survey-based insights into various health topics. Social media has also been utilised by medical professionals for the purposes of sharing scholarly works, international collaboration, and engaging in policy debates. One benefit of using social media platforms to gain insight into health is that they have the ability to capture unfiltered public opinion in large volumes, avoiding the potential biases introduced by surveys or interviews. Social media platforms can also be utilised to pilot surveys, for instance, though the use of Twitter polls. Social media data have also been drawn upon in medical emergencies and crisis situations as a public health surveillance tool. A number of software and online tools also exist, developed specifically to aide public health research utilising social media data. In recent years, ethical issues regarding the retrieval and analysis of data have also arisen.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
650 7 _aPublic health & preventive medicine
_2bicssc
653 _asocial media
653 _adisordered eating behaviours
653 _abody image
653 _afemale
653 _auniversity students
653 _atelemedicine
653 _acarbon dioxide
653 _aair pollutants
653 _avehicle emissions
653 _aprimary care
653 _amachine learning
653 _ateleconsultation
653 _aremote consultation
653 _aclassification
653 _apublic health
653 _ashort video
653 _asocial network
653 _aTAM
653 _acost analysis
653 _ahealth technology assessment
653 _aprovider-to-provider telemedicine
653 _atelehealth
653 _aeconomic analysis
653 _aquestionnaires and surveys
653 _avalidation studies
653 _ahealth personnel
653 _aelectronic nicotine delivery systems
653 _asmoking
653 _atwitter
653 _apoor doctor-patient relationship
653 _ahealthcare consultation
653 _amobile context
653 _acomputer-mediated communication
653 _apoint-of-care systems
653 _aultrasonography
653 _atraffic-related pollution
653 _aprimary health care
653 _aacceptability of health care
653 _asurveys and questionnaires
653 _ahealth communication
653 _aSpanish official medical colleges
653 _astakeholders
653 _aTwitter
653 _asystemic lupus erythematosus (SLE)
653 _anetwork analysis
653 _atopic modeling
653 _atext analysis
653 _aonline media
653 _avaccination
653 _asocial marketing
653 _astroke
653 _aprehospital emergency care
653 _atraining
653 _astroke code
653 _alarge vessel occlusion
653 _aprehospital scales
653 _ahearing loss
653 _alatent topic
653 _aLDA
653 _asocial Q&amp
653 _aA
653 _apublic voice
653 _apublic health emergency
653 _apolicy evolution
653 _aproduct innovation
653 _acooperative governance
653 _aCOVID-19
653 _acoronavirus
653 _amasks
653 _atransmission
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/4537
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/76946
_70
_zDOAB: description of the publication
999 _c64948
_d64948