PMID- 28078449
OWN - NLM
STAT- MEDLINE
DCOM- 20180404
LR  - 20181202
IS  - 1432-1254 (Electronic)
IS  - 0020-7128 (Linking)
VI  - 61
IP  - 7
DP  - 2017 Jul
TI  - Social media responses to heat waves.
PG  - 1247-1260
LID - 10.1007/s00484-016-1302-0 [doi]
AB  - Social network services (SNSs) may benefit public health by augmenting 
      surveillance and distributing information to the public. In this study, we 
      collected Twitter data focusing on six different heat-related themes (air 
      conditioning, cooling center, dehydration, electrical outage, energy assistance, 
      and heat) for 182 days from May 7 to November 3, 2014. First, exploratory linear 
      regression associated outdoor heat exposure to the theme-specific tweet counts 
      for five study cities (Los Angeles, New York, Chicago, Houston, and Atlanta). 
      Next, autoregressive integrated moving average (ARIMA) time series models 
      formally associated heat exposure to the combined count of heat and air 
      conditioning tweets while controlling for temporal autocorrelation. Finally, we 
      examined the spatial and temporal distribution of energy assistance and cooling 
      center tweets. The result indicates that the number of tweets in most themes 
      exhibited a significant positive relationship with maximum temperature. The ARIMA 
      model results suggest that each city shows a slightly different relationship 
      between heat exposure and the tweet count. A one-degree change in the temperature 
      correspondingly increased the Box-Cox transformed tweets by 0.09 for Atlanta, 
      0.07 for Los Angeles, and 0.01 for New York City. The energy assistance and 
      cooling center theme tweets suggest that only a few municipalities used Twitter 
      for public service announcements. The timing of the energy assistance tweets 
      suggests that most jurisdictions provide heating instead of cooling energy 
      assistance.
FAU - Jung, Jihoon
AU  - Jung J
AUID- ORCID: 0000-0002-3757-4783
AD  - Department of Geography, Florida State University, Tallahassee, FL, USA. 
      climategeo@gmail.com.
FAU - Uejio, Christopher K
AU  - Uejio CK
AD  - Department of Geography, Florida State University, Tallahassee, FL, USA.
AD  - Program in Public Health, Florida State University, Tallahassee, FL, USA.
LA  - eng
PT  - Journal Article
DEP - 20170111
PL  - United States
TA  - Int J Biometeorol
JT  - International journal of biometeorology
JID - 0374716
SB  - IM
MH  - Air Conditioning
MH  - Cities
MH  - Dehydration
MH  - *Extreme Heat
MH  - Humans
MH  - Models, Theoretical
MH  - *Social Media
MH  - United States
OTO - NOTNLM
OT  - ARIMA
OT  - Cooling center
OT  - Energy assistance
OT  - Heat wave
OT  - Social media
OT  - Time series
EDAT- 2017/01/13 06:00
MHDA- 2018/04/05 06:00
CRDT- 2017/01/13 06:00
PHST- 2016/10/13 00:00 [received]
PHST- 2016/12/16 00:00 [accepted]
PHST- 2016/12/16 00:00 [revised]
PHST- 2017/01/13 06:00 [pubmed]
PHST- 2018/04/05 06:00 [medline]
PHST- 2017/01/13 06:00 [entrez]
AID - 10.1007/s00484-016-1302-0 [pii]
AID - 10.1007/s00484-016-1302-0 [doi]
PST - ppublish
SO  - Int J Biometeorol. 2017 Jul;61(7):1247-1260. doi: 10.1007/s00484-016-1302-0. Epub 
      2017 Jan 11.