This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
google trends | 216 |
mental health | 125 |
search terms | 123 |
google search | 104 |
public health | 88 |
social media | 70 |
united states | 69 |
big data | 65 |
infectious disease | 59 |
surveillance systems | 51 |
search volume | 50 |
market power | 50 |
using google | 47 |
search engine | 45 |
google flu | 45 |
time series | 43 |
search interest | 42 |
instructional activities | 42 |
infectious diseases | 41 |
disease outbreaks | 40 |
media reporting | 40 |
internet search | 40 |
search queries | 39 |
lockdown rules | 38 |
gaen api | 38 |
smell loss | 37 |
online behavior | 37 |
google searches | 34 |
outdoor recreation | 33 |
health conditions | 33 |
attenuation level | 32 |
relative search | 31 |
google slides | 31 |
public interest | 31 |
coronavirus disease | 31 |
digital systems | 29 |
flu trends | 29 |
anx group | 28 |
search term | 28 |
error correction | 27 |
recreation activity | 26 |
acute pharyngitis | 26 |
celebrity suicide | 26 |
cord uid | 26 |
doc id | 26 |
built environment | 25 |
social distancing | 25 |
college students | 25 |
media reports | 25 |
viral infections | 25 |
data collection | 24 |
trends data | 24 |
informal digital | 23 |
disease surveillance | 23 |
orval model | 22 |
health care | 22 |
based surveillance | 22 |
computer vision | 22 |
strict lockdown | 22 |
behavior changes | 21 |
online behaviors | 21 |
protective film | 21 |
dep group | 21 |
online platforms | 21 |
systematic review | 21 |
bi tools | 20 |
mobility data | 20 |
disease control | 20 |
digital instructional | 20 |
google classroom | 20 |
see adding | 20 |
contact tracing | 20 |
zip code | 20 |
rheumatic diseases | 19 |
data sources | 19 |
street view | 19 |
query data | 19 |
online data | 19 |
previous studies | 19 |
hand sanitiser | 19 |
physical disorder | 19 |
open display | 19 |
exposure notification | 18 |
night activities | 18 |
related search | 18 |
deteriorating mental | 18 |
present study | 17 |
general public | 17 |
search trends | 17 |
google street | 17 |
news media | 17 |
search frequency | 17 |
machine learning | 17 |
google data | 17 |
web search | 17 |
related information | 17 |
using search | 16 |
high prices | 16 |
significant increase | 16 |
traditional surveillance | 16 |
statistically significant | 16 |
health profiles | 16 |
online search | 16 |
smoking cessation | 16 |
zip codes | 15 |
sore throat | 15 |
health problems | 15 |
interest data | 15 |
foreclosure strategy | 15 |
time period | 15 |
stock market | 15 |
industrial revolution | 15 |
signal strength | 15 |
early detection | 15 |
competing bi | 15 |
google bigquery | 15 |
business models | 15 |
cross correlations | 14 |
google forms | 14 |
significant difference | 14 |
google mobility | 14 |
wide range | 14 |
artificial intelligence | 14 |
may also | 14 |
search volumes | 14 |
inactivity periods | 14 |
nonsmell symptoms | 13 |
search results | 13 |
standard deviation | 13 |
general population | 13 |
search query | 13 |
respiratory syndrome | 13 |
choice set | 13 |
risk factors | 13 |
detection rules | 13 |
visitation change | 13 |
shift parameters | 13 |
text boxes | 13 |
internet searches | 13 |
significant differences | 13 |
word cloud | 12 |
instructional content | 12 |
traditional epidemiological | 12 |
disease epidemics | 12 |
received signal | 12 |
th june | 12 |
novel coronavirus | 12 |
navigation arrows | 12 |
entertainment media | 12 |
online media | 12 |
cases per | 12 |
new normality | 12 |
increased interest | 12 |
acute respiratory | 12 |
specialised search | 12 |
false positive | 12 |
web analytics | 12 |
attenuation duration | 12 |
trends tm | 12 |
influenza epidemics | 11 |
daily covid | 11 |
late night | 11 |
adding links | 11 |
exposure notifications | 11 |
built environments | 11 |
price increases | 11 |
single family | 11 |
green streets | 11 |
search advertising | 11 |
digital advertising | 11 |
confirmed cases | 11 |
world health | 11 |
view images | 11 |
environment characteristics | 11 |
emerging infectious | 11 |
engine query | 11 |
surveillance data | 11 |
search engines | 11 |
short event | 11 |
using internet | 11 |
cma found | 11 |
single lane | 11 |
social networks | 10 |
visible utility | 10 |
skin diseases | 10 |
search data | 10 |
influenza virus | 10 |
google applications | 10 |
trends analysis | 10 |
mass media | 10 |
virus infection | 10 |
google trend | 10 |
publicly available | 10 |
behavior features | 10 |
mobile phone | 10 |
new cases | 10 |
transmission dynamics | 10 |
tweet frequency | 10 |
relaxed lockdown | 10 |
market uncertainty | 10 |
prior years | 10 |
health organization | 10 |
second period | 10 |
seeking keywords | 10 |
utility wires | 10 |
borne diseases | 10 |
rank correlation | 10 |
lockdown period | 10 |
recreation behaviour | 10 |
stock markets | 10 |
epidemics using | 10 |
time away | 10 |
global public | 10 |
related queries | 9 |
infectious skin | 9 |
early warning | 9 |
air pollution | 9 |
based tool | 9 |
total number | 9 |
per million | 9 |
rights reserved | 9 |
youtube usages | 9 |
search activity | 9 |
allows us | 9 |
future research | 9 |
orval predictions | 9 |
new york | 9 |
raw materials | 9 |
global pandemic | 9 |
kawasaki disease | 9 |
bluetooth le | 9 |
tracing app | 9 |
observational study | 9 |
lane roads | 9 |
disease activity | 9 |
use google | 9 |
demand shift | 9 |
urban development | 9 |
similar periods | 9 |
percentage change | 9 |
among college | 9 |
research papers | 9 |
suicide reporting | 9 |
time surveillance | 9 |
face mask | 9 |
seeking behaviors | 9 |
detecting influenza | 9 |
knowledge base | 9 |
creative commons | 9 |
dilapidated buildings | 9 |
related terms | 9 |
south korea | 9 |
new daily | 9 |
google drive | 8 |
better understand | 8 |
media platforms | 8 |
large number | 8 |
human mobility | 8 |
history log | 8 |
cloud computing | 8 |
commonly used | 8 |
adding shapes | 8 |
health surveillance | 8 |
day moving | 8 |
users tweeting | 8 |
network effects | 8 |
behavior shifts | 8 |
current covid | 8 |
various aspects | 8 |
data source | 8 |
display market | 8 |
working days | 8 |
media communications | 8 |
mental disorders | 8 |
will need | 8 |
data collected | 8 |
epidemiological methods | 8 |
display advertising | 8 |
neighborhood features | 8 |
content analysis | 8 |
popular search | 8 |
one month | 8 |
deteriorating anxiety | 8 |
skin cancer | 8 |
baseline period | 8 |
positive rate | 8 |
otolaryngology practices | 8 |
user behaviors | 8 |
lancet psychiatry | 8 |
population density | 8 |
contact patterns | 8 |
instructional activity | 8 |
one another | 8 |
realized variance | 8 |
seasonal variations | 8 |
study period | 8 |
value creation | 8 |
relative increase | 8 |
quitting smoking | 8 |
frequency data | 8 |
antiphospholipid syndrome | 8 |
trial teaching | 8 |
table shows | 8 |
speaking countries | 8 |
research activity | 8 |
severe acute | 8 |
werther effect | 8 |
market volatility | 8 |
disease events | 8 |
event intervals | 8 |
health information | 8 |
demographic information | 8 |
reported cases | 8 |
performed using | 8 |
study design | 8 |
web searches | 8 |
reporting guidelines | 8 |
also found | 8 |
cited papers | 7 |
data warehouse | 7 |
real time | 7 |
text box | 7 |
online activities | 7 |
surveillance system | 7 |
infected person | 7 |
significantly increased | 7 |
may indicate | 7 |
correction slide | 7 |
statistically significantly | 7 |
mobile devices | 7 |
psoriatic arthritis | 7 |
west nile | 7 |
print media | 7 |
based data | 7 |
population level | 7 |
see inserting | 7 |
adding text | 7 |
winter months | 7 |
terms relating | 7 |
normal conditions | 7 |
anxiety disorder | 7 |
will also | 7 |
skin disease | 7 |
higher prices | 7 |
behavioral changes | 7 |
care providers | 7 |
based models | 7 |
pixel handsets | 7 |
newly infected | 7 |
google pixel | 7 |
urban areas | 7 |
search metrics | 7 |
online news | 7 |
expert systems | 7 |
praise slide | 7 |
one possible | 7 |
health informatics | 7 |
like illness | 7 |
correction slides | 7 |
copyright holder | 7 |
disease notifications | 7 |
new technologies | 7 |
target response | 7 |
traditional methods | 7 |
vision models | 7 |
troubleshooting tips | 7 |
digital exhaust | 7 |
trend analysis | 7 |
search behaviour | 7 |
first period | 7 |
data analysis | 7 |
viral disease | 7 |
syndrome coronavirus | 7 |
family home | 7 |
volume activity | 7 |
neighborhood environments | 7 |
detection rates | 7 |
attenuation levels | 7 |
influenza surveillance | 7 |
dimensions database | 7 |
united kingdom | 7 |
stationary background | 7 |
inactive periods | 7 |
weighted search | 7 |
positive correlations | 7 |
economic value | 7 |
series data | 7 |
default positions | 7 |
data revolution | 7 |
bcbas will | 7 |
ai applications | 7 |
national level | 7 |
ankylosing spondylitis | 7 |
market study | 7 |
without deteriorating | 7 |
online version | 7 |
different spatial | 7 |
suicide ideations | 6 |
foreclose competing | 6 |
data using | 6 |
daily cases | 6 |
widely read | 6 |
associated vasculitis | 6 |
generalized anxiety | 6 |
virus transmission | 6 |
infected cases | 6 |
dengue fever | 6 |
supervised learning | 6 |
granted medrxiv | 6 |
make use | 6 |
invasive manner | 6 |
google news | 6 |
official data | 6 |
pervasive computing | 6 |
slides presentation | 6 |
increasingly used | 6 |
spatial scales | 6 |
using gt | 6 |
seeking behaviours | 6 |
inserting images | 6 |
research community | 6 |
related symptoms | 6 |
seasonal factors | 6 |
commons licence | 6 |
coronavirus cases | 6 |
population health | 6 |
wide web | 6 |
viral transmission | 6 |
study aims | 6 |
information seeking | 6 |
new covid | 6 |
available online | 6 |
nile virus | 6 |
adding navigation | 6 |
youtube histories | 6 |
depressive disorders | 6 |
concerning covid | 6 |
social anxiety | 6 |
park visitation | 6 |
citation analysis | 6 |
olfactory dysfunction | 6 |
depression levels | 6 |
global health | 6 |
deep learning | 6 |
facebook data | 6 |
world wide | 6 |
seven weeks | 6 |
liwc dimensions | 6 |
supported instructional | 6 |
seeking behavior | 6 |
short period | 6 |
peer review | 6 |
author funder | 6 |
will require | 6 |
health authorities | 6 |
outbreak detection | 6 |
correlation coefficient | 6 |
initial period | 6 |
bdigital exhaust | 6 |
policy makers | 6 |
correlation coefficients | 6 |
price gouging | 6 |
high school | 6 |
results showed | 6 |
paired independent | 6 |
showed significant | 6 |
huge volume | 6 |
gsv images | 6 |
transmission networks | 6 |
inactivity period | 6 |
better understanding | 6 |
analysis using | 6 |
right corner | 6 |
also recorded | 6 |
immune response | 6 |
media coverage | 6 |
navigation arrow | 6 |
twitter users | 6 |
racial ethnic | 6 |
relative changes | 6 |
axial spondyloarthritis | 6 |
health seeking | 6 |
shape image | 6 |
study found | 6 |
time periods | 6 |
audio files | 6 |
leisure time | 6 |
two segments | 6 |
abnormal search | 6 |
terms related | 6 |
analyze search | 6 |
continuous usages | 6 |
cma also | 6 |
adversarial attacks | 6 |
two rounds | 6 |
level google | 6 |
digital resources | 6 |
open source | 6 |
systemic lupus | 6 |
family homes | 6 |
related searches | 6 |
data points | 6 |
user online | 6 |
control measures | 6 |
medical conditions | 6 |
cma considered | 6 |
human behavior | 6 |
dependent variables | 6 |
using data | 6 |
neighborhood indicators | 6 |
code level | 6 |
clinical characteristics | 6 |
task analyses | 6 |
reference event | 6 |
worsened mental | 6 |
natural language | 6 |
disease incidence | 6 |
metropolitan areas | 6 |
different countries | 6 |
lupus erythematosus | 6 |
absolute measure | 6 |
public awareness | 6 |
warning systems | 6 |
mobility reduction | 5 |
poisson regression | 5 |
another study | 5 |
head neck | 5 |
deviation increase | 5 |
suicide rates | 5 |
depressive symptoms | 5 |
mobility reports | 5 |
otolaryngol head | 5 |
google dengue | 5 |
anx groups | 5 |
private data | 5 |
health outcomes | 5 |
increased risk | 5 |
relative mobility | 5 |
substantial contributions | 5 |
analysis showed | 5 |
reported diseases | 5 |
image recognition | 5 |
dilapidated building | 5 |
outside good | 5 |
positive correlation | 5 |
digital markets | 5 |
final approval | 5 |
exposure information | 5 |
deep convolutional | 5 |
key words | 5 |
trends search | 5 |
allowed without | 5 |
care research | 5 |
dengue trends | 5 |
publication behavior | 5 |
influenza season | 5 |
diseases using | 5 |
will continue | 5 |
daily basis | 5 |
inserting audio | 5 |
business model | 5 |
disease detection | 5 |
google form | 5 |
important role | 5 |
online information | 5 |
higher relative | 5 |
gender factor | 5 |
human movement | 5 |
may lead | 5 |
independent instructional | 5 |
electronic medium | 5 |
significant positive | 5 |
five countries | 5 |
reported covid | 5 |
digital platforms | 5 |
annual incidence | 5 |
use data | 5 |
disease breakouts | 5 |
vulnerable individuals | 5 |
google apple | 5 |
neck surg | 5 |
jmir public | 5 |
us national | 5 |
data streams | 5 |
emergency department | 5 |
assessed using | 5 |
regression models | 5 |
related markets | 5 |
march th | 5 |
correct response | 5 |
nan doi | 5 |
study results | 5 |
seek help | 5 |
language processing | 5 |
social networking | 5 |
neighborhood built | 5 |
negative correlations | 5 |
disease outbreak | 5 |
proximity detection | 5 |
news reports | 5 |
fill color | 5 |
strong position | 5 |
february th | 5 |
analytics products | 5 |
without permission | 5 |
organic search | 5 |
search keywords | 5 |
sectional study | 5 |
identified papers | 5 |
english speaking | 5 |
publisher ad | 5 |
notifiable diseases | 5 |
sushant singh | 5 |
trends study | 5 |
reuse allowed | 5 |
mental illness | 5 |
viral epidemiology | 5 |
transmission patterns | 5 |
pandemic preparedness | 5 |
regions within | 5 |
th february | 5 |
tailed paired | 5 |
liwc attributes | 5 |
search behavior | 5 |
digital content | 5 |
advertising market | 5 |
percent black | 5 |
time constraints | 5 |
across england | 5 |
information regarding | 5 |
higher covid | 5 |
relevant search | 5 |
social withdrawal | 5 |
public opinion | 5 |
th may | 5 |
informatics methods | 5 |
satellite imagery | 5 |
internet data | 5 |
significant decrease | 5 |
exhibited significant | 5 |
might also | 5 |
policy documents | 5 |
internet metrics | 5 |
sensational language | 5 |
pilot study | 5 |
search providers | 5 |
social contacts | 5 |
absolute mobility | 5 |
private google | 5 |
advertising inventory | 5 |
neural networks | 5 |
small number | 5 |
creating digital | 5 |
class shares | 5 |
symbol groups | 5 |
undergraduate students | 5 |
study date | 5 |
easily accessible | 5 |
two groups | 5 |
mobility restriction | 5 |
coronavirus pandemic | 5 |
online engagements | 5 |
user behavior | 5 |
epidemiological data | 5 |
rheumatoid arthritis | 5 |
true positive | 5 |
used google | 5 |
health professionals | 5 |
coronavirus crisis | 5 |
one hand | 5 |
standard deviations | 5 |
study also | 5 |
population movement | 5 |
supplementary material | 5 |
neighborhood data | 5 |
dep groups | 5 |
convolutional neural | 5 |
suicide risk | 5 |
medical information | 5 |
increased compared | 5 |
version posted | 5 |
markets around | 5 |
engagement logs | 5 |
concerning smell | 5 |
may increase | 5 |
social stigmas | 5 |
influential papers | 5 |
cross correlation | 5 |
discrete trial | 5 |
class membership | 5 |
online suicide | 5 |
health policy | 5 |
significant correlations | 5 |
grocery retailers | 5 |
google time | 5 |
wikipedia usage | 5 |
posted august | 5 |
latent class | 5 |
data used | 5 |
viral diseases | 5 |
better algorithms | 5 |
open access | 5 |
price variation | 5 |
notifiable disease | 5 |
private mobility | 5 |
based study | 5 |
twitter data | 5 |
user trends | 5 |
technical terms | 4 |
health intelligence | 4 |
main experiment | 4 |
increased activity | 4 |
lockdown may | 4 |
recent years | 4 |
price foreclosure | 4 |
current study | 4 |
negative emotions | 4 |
dengue virus | 4 |
human population | 4 |
category tags | 4 |
suicide method | 4 |
hiv infection | 4 |
diseases surveillance | 4 |
middle east | 4 |
statistical analysis | 4 |
residential roads | 4 |
national comorbidity | 4 |
community mobility | 4 |
survey replication | 4 |
learning algorithms | 4 |
may provide | 4 |
suicide news | 4 |
uk government | 4 |
youtube searches | 4 |
crimson hexagon | 4 |
critical information | 4 |
digital data | 4 |
th century | 4 |
related internet | 4 |
rd march | 4 |
useful information | 4 |
profit margins | 4 |
vulnerable population | 4 |
liwc included | 4 |
relative change | 4 |
training data | 4 |
zika virus | 4 |
transmission pathways | 4 |
rheumatic disease | 4 |
behaviour class | 4 |
widely used | 4 |
data series | 4 |
supply chain | 4 |
national health | 4 |
transmit power | 4 |
independent variable | 4 |
sharing digital | 4 |
full agreement | 4 |
viral pathogenesis | 4 |
study provides | 4 |
google nlp | 4 |
public transport | 4 |
significant increases | 4 |
public policy | 4 |
health behaviors | 4 |
online services | 4 |
first industrial | 4 |
keyword trends | 4 |
school education | 4 |
viral infection | 4 |
five weeks | 4 |
google llc | 4 |
neural network | 4 |
essential products | 4 |
seasonal variation | 4 |
foreclosure mechanisms | 4 |
prospective evidence | 4 |
authors declare | 4 |
search concepts | 4 |
midpoints around | 4 |
market index | 4 |
epidemiological processes | 4 |
particular day | 4 |
increase greater | 4 |
income countries | 4 |
reported rubella | 4 |
hour period | 4 |
reporting suicide | 4 |
near real | 4 |
trends keywords | 4 |
logit model | 4 |
environment indicators | 4 |
related web | 4 |
restriction policies | 4 |
visible wires | 4 |
image using | 4 |
google takeout | 4 |
research team | 4 |
responsible media | 4 |
behavioral features | 4 |
suicide prevention | 4 |
system based | 4 |
bonferroni adjustments | 4 |
data logs | 4 |
tweets concerning | 4 |
relevance score | 4 |
many different | 4 |
environmental features | 4 |
inactivity divergence | 4 |
order models | 4 |
virus outbreak | 4 |
excessive pricing | 4 |
individual online | 4 |
bluetooth received | 4 |
relative volume | 4 |
even though | 4 |
stationary picture | 4 |
first months | 4 |
media reportage | 4 |
information flow | 4 |
internal documents | 4 |
institutional review | 4 |
color icon | 4 |
ad server | 4 |
data business | 4 |
bi tool | 4 |
provide data | 4 |
mode option | 4 |
respiratory disease | 4 |
home orders | 4 |
activities using | 4 |
inactivity distributions | 4 |
keywords representing | 4 |
case definitions | 4 |
private history | 4 |
leisure activities | 4 |
case data | 4 |
measurement study | 4 |
ubiquitous online | 4 |
default youtube | 4 |
least one | 4 |
linked stimuli | 4 |
epidemic class | 4 |
notification app | 4 |
immunodeficiency virus | 4 |
data may | 4 |
time range | 4 |
shown statistically | 4 |
data shows | 4 |
applied behavior | 4 |
recent celebrity | 4 |
takayasu arteritis | 4 |
supply response | 4 |
error term | 4 |
orval estimate | 4 |
significantly decreased | 4 |
similar trends | 4 |
history data | 4 |
class regression | 4 |
gt searches | 4 |
decision tree | 4 |
frequency concerning | 4 |
recent study | 4 |
compulsive youtube | 4 |
online behavioral | 4 |
different terms | 4 |
history logs | 4 |
media exposure | 4 |
face masks | 4 |
global positioning | 4 |
official reports | 4 |
public inquiries | 4 |
two distributions | 4 |
results demonstrated | 4 |
health issues | 4 |
sexually transmissible | 4 |
remote learning | 4 |
systems built | 4 |
attenuation durations | 4 |
quantitative features | 4 |
image data | 4 |
data point | 4 |
infect dis | 4 |
data analytics | 4 |
representing suicide | 4 |
vaccine preventable | 4 |
mode options | 4 |
papers co | 4 |
system aimed | 4 |
praise slides | 4 |
methodology framework | 4 |
furman review | 4 |
classification model | 4 |
real world | 4 |
specific examples | 4 |
highest interest | 4 |
spearman correlations | 4 |
depressive symptom | 4 |
internet usage | 4 |
will likely | 4 |
helpseeking keywords | 4 |
preventable diseases | 4 |
infected patients | 4 |
spatial patterns | 4 |
google looker | 4 |
repeat steps | 4 |
necessary measures | 4 |
outbreaks using | 4 |
sample size | 4 |
previous years | 4 |
independent grocery | 4 |
neighborhood quality | 4 |
whole study | 4 |
advertising services | 4 |
determine whether | 4 |
review board | 4 |
youtube engagement | 4 |
confirmed covid | 4 |
google accounts | 4 |
log contained | 4 |
study aimed | 4 |
around db | 4 |
symptom severity | 4 |
actual lockdown | 4 |
central trend | 4 |
prerequisite skills | 4 |
may need | 4 |
rules counterfactual | 4 |
capture insights | 4 |
data log | 4 |
click add | 4 |
lane residential | 4 |
pandemic outbreak | 4 |
frequency pertaining | 4 |
viral diversity | 4 |
symptomatic therapy | 4 |
percentage increases | 4 |
scale population | 4 |
measurement data | 4 |
query text | 4 |
ethnic minorities | 4 |
basic google | 4 |
peak search | 4 |
important information | 4 |
local covid | 4 |
features except | 4 |
mobile phones | 4 |
initial covid | 4 |
tracing apps | 4 |
longitudinal individual | 4 |
recreation demand | 4 |
taken together | 4 |
th april | 4 |
behavior analysis | 4 |
new infections | 4 |
east respiratory | 4 |
york city | 4 |
high impact | 4 |
based public | 4 |
least years | 4 |
close proximity | 4 |
main experiments | 4 |
data provided | 4 |
ears ringing | 4 |
strongly correlated | 4 |
anxiety levels | 4 |
research output | 4 |
march rd | 4 |
percentage changes | 4 |
without worsened | 4 |
series analysis | 4 |
slides functions | 4 |
data sets | 4 |
urgent need | 4 |
previous study | 4 |
orval estimates | 4 |
control interventions | 4 |
demand model | 4 |
epidemiological research | 4 |
provided information | 4 |
training dataset | 4 |
level identified | 4 |
rural areas | 4 |
infodemiological investigations | 4 |
york times | 4 |
antibiotic therapy | 4 |
trends performance | 4 |
peripheral spondyloarthritis | 4 |
suicidal thoughts | 4 |
gaen system | 4 |
also known | 4 |
preventive behaviors | 4 |
greatly enhanced | 4 |
values used | 4 |
potentially harmful | 4 |
clinically alarming | 4 |
psychological dimensions | 4 |
also collected | 4 |
visitation probabilities | 4 |
explainable features | 4 |
comorbidity survey | 4 |
correlation results | 4 |
disease transmission | 4 |
infected individuals | 4 |
regional differences | 4 |
incidence rates | 4 |
youtube category | 4 |
online advertising | 4 |
travel restrictions | 4 |
results indicated | 4 |
conventional surveillance | 4 |
psychometric properties | 4 |
officially reported | 4 |
related topics | 4 |
correct answer | 4 |
streptococcal pharyngitis | 4 |
percentage increase | 4 |
systems may | 4 |
existing literature | 4 |
measles cases | 4 |
emerging set | 4 |
help delivery | 4 |
national notifiable | 4 |
reliably predict | 4 |
see chapter | 4 |
assessing google | 4 |
third parties | 4 |
mobility sources | 4 |
analysis reveals | 4 |
lower urban | 4 |
research needs | 4 |
using traditional | 4 |
two main | 4 |
google correlate | 4 |
th march | 4 |
physical world | 4 |
april nd | 4 |
particular month | 4 |
monthly reported | 4 |
school year | 4 |
confinement measures | 4 |
score may | 4 |
german detection | 4 |
personal affairs | 4 |
relaxed rules | 4 |
statistical significance | 4 |
confounding factors | 4 |
ebola outbreak | 4 |
square tests | 4 |
submission herein | 4 |
human immunodeficiency | 4 |
gps data | 4 |
possible explanation | 4 |
bcbas may | 4 |
price hikes | 4 |
radio signals | 4 |
basic demographic | 4 |
south china | 4 |
collected data | 4 |
error terms | 4 |
media platform | 4 |
search string | 4 |
two months | 4 |
provide information | 4 |
neighborhood disorder | 4 |
short time | 4 |
revolution will | 4 |
springer nature | 4 |
excellent reliability | 3 |
actual number | 3 |
basic idea | 3 |
previous month | 3 |
commons attribution | 3 |
greater urban | 3 |
frequency regarding | 3 |
natural history | 3 |
risk maps | 3 |
practice recommendations | 3 |
last years | 3 |
also need | 3 |
geographic location | 3 |
detection rule | 3 |
population centered | 3 |
query volumes | 3 |
event interval | 3 |
google interest | 3 |
rsv indices | 3 |
certain month | 3 |
online sources | 3 |
note springer | 3 |
ssion press | 3 |
full attenuation | 3 |
volume index | 3 |
internetbased surveillance | 3 |
rules used | 3 |
analysis revealed | 3 |
raw data | 3 |
go back | 3 |
generalized lockdown | 3 |
particularly useful | 3 |
influenza activity | 3 |
clinical trials | 3 |
investigated whether | 3 |
instructional programming | 3 |
retrospective study | 3 |
three times | 3 |
caregiver support | 3 |
every year | 3 |
predictive models | 3 |
links evolutionary | 3 |
remove link | 3 |
public reactions | 3 |
new normal | 3 |
large enough | 3 |
last week | 3 |
data via | 3 |
computer science | 3 |
single search | 3 |
study designs | 3 |
substitution behaviour | 3 |
border color | 3 |
short run | 3 |
expert system | 3 |
deaths due | 3 |
decision making | 3 |
press corne | 3 |
public sources | 3 |
network architecture | 3 |
host immune | 3 |
transmitter side | 3 |
additional file | 3 |
linking smell | 3 |
hospitalized patients | 3 |
remains neutral | 3 |
phylodynamics links | 3 |
emerging disease | 3 |
search intensity | 3 |
european countries | 3 |
training set | 3 |
health threat | 3 |
implemented policies | 3 |
residential index | 3 |
mail website | 3 |
disease prediction | 3 |
letter matching | 3 |
month combination | 3 |
several search | 3 |
remains unclear | 3 |
travel costs | 3 |
online interactions | 3 |
avian flu | 3 |
lag value | 3 |
also reported | 3 |
loss function | 3 |
detect epidemics | 3 |
mean attenuation | 3 |
porn consumptions | 3 |
selected time | 3 |
greenspace map | 3 |
epidemiological investigation | 3 |
form responses | 3 |
health trends | 3 |
training datasets | 3 |
biggest change | 3 |
google account | 3 |
described previously | 3 |
information related | 3 |
case numbers | 3 |
substantially higher | 3 |
jurisdictional claims | 3 |
middle income | 3 |
create value | 3 |
people search | 3 |
health measures | 3 |
demographic data | 3 |
direct comparison | 3 |
important confounders | 3 |
monthly discovered | 3 |
collects information | 3 |
breast cancer | 3 |
provides information | 3 |
minutes within | 3 |
contact event | 3 |
analysis indicates | 3 |
many otolaryngology | 3 |
low threshold | 3 |
derived built | 3 |
respiratory symptoms | 3 |
missing values | 3 |
pattern recognition | 3 |
recreation patterns | 3 |
google faces | 3 |
commuter bus | 3 |
significant promise | 3 |
including google | 3 |
infectious period | 3 |
train caregivers | 3 |
available data | 3 |
long history | 3 |
private sources | 3 |
across states | 3 |
last two | 3 |
environmental factors | 3 |
new products | 3 |
key topics | 3 |
awareness campaigns | 3 |
may play | 3 |
positive rates | 3 |
link bar | 3 |
disease epidemiology | 3 |
german apps | 3 |
press release | 3 |
disease spread | 3 |
related inquiries | 3 |
haitian cholera | 3 |
trim levels | 3 |
old business | 3 |
disease frequency | 3 |
manually labeled | 3 |
rather different | 3 |
diseases tracked | 3 |
incidence peaks | 3 |
time lag | 3 |
massive data | 3 |
positive detection | 3 |
observed across | 3 |
disease prevention | 3 |
health officials | 3 |
analysis found | 3 |
vosviewer software | 3 |
provide clients | 3 |
spectrum disorder | 3 |
carrying mobile | 3 |
controlled trial | 3 |
based intervention | 3 |
contact network | 3 |
grey vertical | 3 |
weather data | 3 |
antibiotic overuse | 3 |
included countries | 3 |
seeking terms | 3 |
investor fear | 3 |
particularly important | 3 |
recreation site | 3 |
retail sector | 3 |
relative measure | 3 |
wider ecosystem | 3 |
commuter tram | 3 |
first reported | 3 |
immunosuppressive treatments | 3 |
triggering notifications | 3 |
utilized google | 3 |
search requests | 3 |
rank correlations | 3 |
google products | 3 |
handset locations | 3 |
medical professionals | 3 |
competition authorities | 3 |
high threshold | 3 |
health experts | 3 |
orval greenspace | 3 |
communications represent | 3 |
internet users | 3 |
people searching | 3 |
via telehealth | 3 |
new forms | 3 |
reproductive number | 3 |
vision model | 3 |
sample period | 3 |
dengue incidence | 3 |
provide bcbas | 3 |
infodemiological methods | 3 |
significance level | 3 |
options include | 3 |
positioning system | 3 |
collect data | 3 |
public concerns | 3 |
supplementary table | 3 |
software program | 3 |
time detection | 3 |
patient health | 3 |
january st | 3 |
symbol group | 3 |
outbreak investigation | 3 |
national suicide | 3 |
longitudinal data | 3 |
using user | 3 |
decreased significantly | 3 |
informational demands | 3 |
app configuration | 3 |
western countries | 3 |
epidemiological studies | 3 |
temporal arteritis | 3 |
table highlights | 3 |
preliminary analysis | 3 |
title slide | 3 |
will see | 3 |
natural environment | 3 |
lyme disease | 3 |
data set | 3 |
research paper | 3 |
app based | 3 |
asv i | 3 |
multicolored plus | 3 |
notification api | 3 |
briefly review | 3 |
wearable sensors | 3 |
level observed | 3 |
cell arteritis | 3 |
contact events | 3 |
word count | 3 |
suicidal behaviour | 3 |
party platforms | 3 |
system may | 3 |
geographic areas | 3 |
summer months | 3 |
average prices | 3 |
expressed concerns | 3 |
en ip | 3 |
knowledge extraction | 3 |
grocery multiples | 3 |
learner responds | 3 |
retail prices | 3 |
since february | 3 |
screening mental | 3 |
original author | 3 |
randomly selecting | 3 |
model used | 3 |
literature review | 3 |
digital system | 3 |
spatial analysis | 3 |
anonymity reasons | 3 |
regular lockdown | 3 |
johns hopkins | 3 |
tweets containing | 3 |
recreation valuation | 3 |
analytics product | 3 |
impede social | 3 |
contagion effects | 3 |
west africa | 3 |
pneumococcal disease | 3 |
relevant keywords | 3 |
consumer attention | 3 |
duration data | 3 |
northern hemisphere | 3 |
negative effects | 3 |
search user | 3 |
whole lockdown | 3 |
similar time | 3 |
articles provided | 3 |
automatically navigate | 3 |
labeled images | 3 |
increasing distance | 3 |
rd january | 3 |
administrative level | 3 |
mobile internet | 3 |
rules trigger | 3 |
factors including | 3 |
low self | 3 |
preventive information | 3 |
side network | 3 |
platforms inquiry | 3 |
autism spectrum | 3 |
every day | 3 |
also provides | 3 |
sharp increase | 3 |
keywords related | 3 |
period showed | 3 |
shaded area | 3 |
melanoma outcomes | 3 |
likely due | 3 |
relatively low | 3 |
relative terms | 3 |
powerful tool | 3 |
manually annotated | 3 |
human intelligence | 3 |
nature remains | 3 |
use different | 3 |
sensor data | 3 |
valuable data | 3 |
chikungunya outbreaks | 3 |
flu trend | 3 |
com trends | 3 |
tram dataset | 3 |
study used | 3 |
syndromic surveillance | 3 |
robust indicators | 3 |
european center | 3 |
instruction slide | 3 |
personal information | 3 |
little correlation | 3 |
google earth | 3 |
network data | 3 |
scanner api | 3 |
measures taken | 3 |
eu commi | 3 |
ethics committee | 3 |
congenital rubella | 3 |
everyday life | 3 |
specified search | 3 |
country level | 3 |
first step | 3 |
queried using | 3 |
spatial resolution | 3 |
ad servers | 3 |
trends popular | 3 |
will appear | 3 |
vary widely | 3 |
trim level | 3 |
avian influenza | 3 |
regional outbreaks | 3 |
challenges faced | 3 |
regional basis | 3 |
zika pandemic | 3 |
internet penetration | 3 |
current methods | 3 |
inform public | 3 |
disease breakout | 3 |
see suppl | 3 |
change time | 3 |
person interviews | 3 |
healthcare workers | 3 |
cognitive functions | 3 |
significant impact | 3 |
will navigate | 3 |
data gathered | 3 |
final social | 3 |
new data | 3 |
identify potential | 3 |
various stakeholders | 3 |
see practice | 3 |
minimal caregiver | 3 |
behaviour changes | 3 |
looker merger | 3 |
article level | 3 |
google also | 3 |
suicide might | 3 |
significant association | 3 |
orval predicts | 3 |
media publication | 3 |
containing urls | 3 |
potentially helpful | 3 |
developed based | 3 |
passive surveillance | 3 |
transport mode | 3 |
baseline levels | 3 |
different words | 3 |
several years | 3 |
restriction measures | 3 |
provide useful | 3 |
clinical decision | 3 |
suicide deaths | 3 |
recent studies | 3 |
roughly every | 3 |
item relevance | 3 |
financial contagion | 3 |
evenly distributed | 3 |
american academy | 3 |
switching away | 3 |
research questions | 3 |
may represent | 3 |
study carried | 3 |
enhance traditional | 3 |
estimated using | 3 |
infodemiology study | 3 |
using twitter | 3 |
largest percentage | 3 |
consecutive days | 3 |
see press | 3 |
lockdown counterfactual | 3 |
systems data | 3 |
see table | 3 |
exclusionary practices | 3 |
skill acquisition | 3 |
diseases based | 3 |
data concerning | 3 |
free raw | 3 |
media posts | 3 |
porn consumption | 3 |
reports violated | 3 |
correlated google | 3 |
mobility report | 3 |
estimate values | 3 |
unpredictable ways | 3 |
potential covid | 3 |
population data | 3 |
disease epidemic | 3 |
complete list | 3 |
neighborhood characteristics | 3 |
represent important | 3 |
online activity | 3 |
general lockdown | 3 |
human health | 3 |
google may | 3 |
health policies | 3 |
cancer awareness | 3 |
highest correlations | 3 |
including influenza | 3 |
monitoring emerging | 3 |
two time | 3 |
may reflect | 3 |
ebola virus | 3 |
term rheumatologist | 3 |
weekly google | 3 |
positive associations | 3 |
first day | 3 |
greenspace use | 3 |
different search | 3 |
advertising revenues | 3 |
preventive measures | 3 |
healthcare system | 3 |
published maps | 3 |
ai technology | 3 |
parameter estimates | 3 |
college student | 3 |
analysis also | 3 |
health status | 3 |
key aspects | 3 |
nan sha | 3 |
invasive system | 3 |
standard deep | 3 |
years old | 3 |
mobile search | 3 |
distributed across | 3 |
various mental | 3 |
building indicator | 3 |
correlation test | 3 |
discovered cases | 3 |
web pages | 3 |
findings suggest | 3 |
since march | 3 |
category labels | 3 |
may include | 3 |
data will | 3 |
national data | 3 |
release available | 3 |
neighborhood environment | 3 |
youtube videos | 3 |
intelligence network | 3 |
words related | 3 |
correlation analysis | 3 |
time spent | 3 |
instructional materials | 3 |
neck surgery | 3 |
linguistic inquiry | 3 |
research studies | 3 |
market position | 3 |
third party | 3 |
increase exponentially | 3 |
fewer covid | 3 |
english residents | 3 |
three experiments | 3 |
second peak | 3 |
three months | 3 |
near future | 3 |
answered correctly | 3 |
measurements indicate | 3 |
employment income | 3 |
clinical course | 3 |
institutional affiliations | 3 |
web browser | 3 |
health authority | 3 |
december st | 3 |
sars outbreak | 3 |
person treatment | 3 |
merger rationale | 3 |
raw search | 3 |
analyzed using | 3 |
also shows | 3 |
analysis date | 3 |
geographical region | 3 |
national surveillance | 3 |
enables users | 3 |
target class | 3 |
spending minutes | 3 |
also characterised | 3 |
preparedness capabilities | 3 |
service disruptions | 3 |
competition law | 3 |
trends date | 3 |
analytics team | 3 |
orval time | 3 |
predict skin | 3 |
visual stimuli | 3 |
pharyngitis related | 3 |
february rd | 3 |
google trendstm | 3 |
january th | 3 |
two weeks | 3 |
present feature | 3 |
offline selves | 3 |
social network | 3 |
sectional survey | 3 |
health questionnaire | 3 |
per search | 3 |
current slide | 3 |
useful signals | 3 |
following main | 3 |
measures like | 3 |
test set | 3 |
late february | 3 |
problems among | 3 |
giant cell | 3 |
young adults | 3 |
associated diseases | 3 |
exploratory study | 3 |
causal inference | 3 |
mathematical models | 3 |
global population | 3 |
caregiver provides | 3 |
healthcare providers | 3 |
select remove | 3 |
human contact | 3 |
study population | 3 |
causal relationship | 3 |
digital surveillance | 3 |
altmetrics score | 3 |
power level | 3 |
entirely new | 3 |
incubation period | 3 |
alternative uses | 3 |
next day | 3 |
infectious individual | 3 |
comparative interest | 3 |
trips taken | 3 |
dengue mosquito | 3 |
nested logit | 3 |
minute experiment | 3 |
supply chains | 3 |
bbig data | 3 |
using web | 3 |
tile index | 3 |
level classification | 3 |
viral evolution | 3 |
italian detection | 3 |
estimating equations | 3 |
mobility patterns | 3 |
parameters used | 3 |
african countries | 3 |
results suggested | 3 |
commi ssion | 3 |
reported non | 3 |
infodemiological trends | 3 |
quarantinable diseases | 3 |
whether search | 3 |
trends google | 3 |
fewer cases | 3 |
current research | 3 |
key papers | 3 |
papageno effect | 3 |
early example | 3 |
weighted sum | 3 |
apple exposure | 3 |
top co | 3 |
svm model | 3 |
experimental evidence | 3 |
monitoring infectious | 3 |
health system | 3 |
table sa | 3 |
correct slides | 3 |
surgical face | 3 |
financial markets | 3 |
widely available | 3 |
will still | 3 |
retrieved using | 3 |
class behaviour | 3 |
influenza outbreaks | 3 |
engine trends | 3 |
data analyses | 3 |
analyse data | 3 |
related disorders | 3 |
malaria control | 3 |
plus sign | 3 |
depressed mood | 3 |
study suggests | 3 |
international media | 3 |
selective pressures | 3 |
monitor disease | 3 |
household size | 3 |
computational resources | 3 |
competitive constraint | 3 |
white link | 3 |
study using | 3 |
sharp fall | 3 |
department influenza | 3 |
ultimate aim | 3 |
news group | 3 |
second industrial | 2 |
assess whether | 2 |
based information | 2 |
case series | 2 |
unprecedented declines | 2 |
worsened anxiety | 2 |
font size | 2 |
times article | 2 |
different behavior | 2 |
potential use | 2 |
less strict | 2 |
annotated images | 2 |
altmetric score | 2 |
directly input | 2 |
integrated variance | 2 |
resources use | 2 |
special periods | 2 |
might expect | 2 |
alternative ways | 2 |
review association | 2 |
new model | 2 |
early april | 2 |
monthly data | 2 |
community may | 2 |
econometric error | 2 |
trends relating | 2 |
across many | 2 |
rsv means | 2 |
fear gauge | 2 |
social support | 2 |
bacterial infections | 2 |
human interpretation | 2 |
among others | 2 |
click create | 2 |
entertainment industry | 2 |
reporting systems | 2 |
german exposure | 2 |
will allow | 2 |
dataset consists | 2 |
studying anxiety | 2 |
graphical visualization | 2 |
online survey | 2 |
spanish society | 2 |
online history | 2 |
detect outbreaks | 2 |
later hours | 2 |
kn ge | 2 |
lifestyle activity | 2 |
traditional systems | 2 |
sensed environmental | 2 |
one study | 2 |
undergoing antidepressant | 2 |
eta partial | 2 |
categories overlapping | 2 |
level longitudinal | 2 |
sur les | 2 |
retail markets | 2 |
environments may | 2 |
also represent | 2 |
recruitment timeline | 2 |
prospective studies | 2 |
produce unexplainable | 2 |
large datasets | 2 |
data segmentations | 2 |
million images | 2 |
independent activities | 2 |
minnesota inventory | 2 |
national media | 2 |
five quantitative | 2 |
correctly identified | 2 |
first big | 2 |
surveillance models | 2 |
dimensions liwc | 2 |
two data | 2 |
international license | 2 |
people might | 2 |
controlling significant | 2 |
outbreaks worldwide | 2 |
lr model | 2 |
properly interpreting | 2 |
malaria environmental | 2 |
essential services | 2 |
link icon | 2 |
sequential bonferroni | 2 |
longitudinal google | 2 |
first onset | 2 |
special attention | 2 |
rely heavily | 2 |
main route | 2 |
viral outbreak | 2 |
response may | 2 |
flag symptoms | 2 |
mobile objects | 2 |
visit estimates | 2 |
higher level | 2 |
alternative leisure | 2 |
may occur | 2 |
behaviour among | 2 |
sensitive infodemiological | 2 |
predefined categories | 2 |
media provided | 2 |
variance reached | 2 |
potential healthcare | 2 |
term reached | 2 |
region analyses | 2 |
clinical settings | 2 |
across different | 2 |
key knowledge | 2 |
sexually transmitted | 2 |
side platforms | 2 |
ace receptor | 2 |
systemic risk | 2 |
site visited | 2 |
internet patterns | 2 |
indian context | 2 |
polio outbreak | 2 |
psychiatry youtube | 2 |
use similar | 2 |
behavior may | 2 |
family client | 2 |
analyses examining | 2 |
checklist prepared | 2 |
entertainment purposes | 2 |
understand viral | 2 |
molecular studies | 2 |
cdc reported | 2 |
praise statements | 2 |
four classes | 2 |
wise error | 2 |
significant spikes | 2 |
factors interfering | 2 |
population sizes | 2 |
cholera outbreak | 2 |
several markets | 2 |
shaded areas | 2 |
correlations indicated | 2 |
personal safety | 2 |
active google | 2 |
coefficient linking | 2 |
different class | 2 |
related policy | 2 |
thereby reinforcing | 2 |
randomized controlled | 2 |
computing childhood | 2 |
models using | 2 |
monopoly sellers | 2 |
lower incidence | 2 |
course sleep | 2 |
membership probabilities | 2 |
socioeconomic group | 2 |
facebook may | 2 |
slightly lower | 2 |
social norms | 2 |
influenza pandemic | 2 |
used data | 2 |
competing interests | 2 |
less likely | 2 |
health difficulties | 2 |
select insert | 2 |
internet media | 2 |
may impact | 2 |
trend appeared | 2 |
state territory | 2 |
informal systems | 2 |
many search | 2 |
hour mark | 2 |
uncover insights | 2 |
observational studies | 2 |
passively collected | 2 |
monitor public | 2 |
anonymizing data | 2 |
annotations provided | 2 |
smart assistant | 2 |
location reporting | 2 |
visitation observed | 2 |
consuming several | 2 |
daily new | 2 |
follow news | 2 |
daily variance | 2 |
new blank | 2 |
news report | 2 |
social activity | 2 |
data include | 2 |
major depressed | 2 |
tweets production | 2 |
study covers | 2 |
reports received | 2 |
cdc surveillance | 2 |
information completeness | 2 |
us remark | 2 |
ba sro | 2 |
important research | 2 |
validated official | 2 |
model using | 2 |
circulating strains | 2 |
internet sources | 2 |
data shared | 2 |
rapid spread | 2 |
significant features | 2 |
indeed likely | 2 |
text input | 2 |
study populations | 2 |
gt data | 2 |
group simultaneously | 2 |
age distributions | 2 |
world outcomes | 2 |
treatment contact | 2 |
seasonal trends | 2 |
indian newspapers | 2 |
one major | 2 |
based inquiries | 2 |
sv i | 2 |
informed consent | 2 |
researches stated | 2 |
practical tutorial | 2 |
sensor correlates | 2 |
key areas | 2 |
training phases | 2 |
two adjacent | 2 |
significant source | 2 |
open question | 2 |
dengue epidemics | 2 |
collected individual | 2 |
specific data | 2 |
second round | 2 |
global burden | 2 |
information gathered | 2 |
data segments | 2 |
complete breakdown | 2 |
open spaces | 2 |
days later | 2 |
group retailers | 2 |
experiments exploring | 2 |
spss version | 2 |
widely applied | 2 |
diseases use | 2 |
particular period | 2 |
movement restrictions | 2 |
relapsing polychondritis | 2 |
potential biases | 2 |
variables measuring | 2 |
db i | 2 |
tweet productions | 2 |
family members | 2 |
month category | 2 |
attributes captured | 2 |
observed trends | 2 |
people will | 2 |
patterns demands | 2 |
include receptive | 2 |
worsening depression | 2 |
artificial narrow | 2 |
menu will | 2 |
also able | 2 |
ophthalmological research | 2 |
csv files | 2 |
average percentage | 2 |
smoothed covid | 2 |
first peak | 2 |
add content | 2 |
reference behaviour | 2 |
click join | 2 |
collected basic | 2 |
within days | 2 |
two independent | 2 |
app spend | 2 |
specific set | 2 |
future analyses | 2 |
significant demographic | 2 |
using liwc | 2 |
financial difficulties | 2 |
initial sharp | 2 |
trends tool | 2 |
program feedback | 2 |
trinity college | 2 |
viral illnesses | 2 |
two documents | 2 |
systems biology | 2 |
medical interventions | 2 |
similar ranges | 2 |
daily lifestyles | 2 |
studies understanding | 2 |
increasing numbers | 2 |
undocumented infections | 2 |
survey response | 2 |
refer methodology | 2 |
lsoa scale | 2 |
suicide among | 2 |
increased sharply | 2 |
done studying | 2 |
health data | 2 |
media resources | 2 |
media communication | 2 |
involved hampering | 2 |
whole population | 2 |
digital disease | 2 |
individuals interact | 2 |
research change | 2 |
acute infections | 2 |
previous findings | 2 |
indicated otherwise | 2 |
longer period | 2 |
large network | 2 |
influenza strains | 2 |
decision logic | 2 |
false negatives | 2 |
health assessment | 2 |
online reports | 2 |
pandemic tended | 2 |
highest search | 2 |
study revealed | 2 |
popular platforms | 2 |
increasing use | 2 |
truly new | 2 |
pervasive online | 2 |
known outbreak | 2 |
handset models | 2 |
panic buying | 2 |
particular transport | 2 |
preliminary demographic | 2 |
enduring market | 2 |
one unit | 2 |
greatest facilitator | 2 |
survey measurements | 2 |
manually identified | 2 |
systems accumulate | 2 |
learner selects | 2 |
images sampled | 2 |
decision made | 2 |
loss correlations | 2 |
close examination | 2 |
longitudinal online | 2 |
full rights | 2 |
usually occurs | 2 |
disease bulletin | 2 |
several ways | 2 |
high attenuation | 2 |
intended use | 2 |
mechanisms described | 2 |
generated data | 2 |
develop symptoms | 2 |
may mitigate | 2 |
high costs | 2 |
using supervised | 2 |
overnight change | 2 |
particularly valuable | 2 |
google internet | 2 |
media use | 2 |
harmful effects | 2 |
conduct observational | 2 |
technological companies | 2 |
across countries | 2 |
data cleaning | 2 |
extensive researches | 2 |
iveco mmons | 2 |
bayesian analysis | 2 |
disease status | 2 |
rates using | 2 |
midpoint distributions | 2 |
medical image | 2 |
high incidence | 2 |
adopt behaviors | 2 |
geographic information | 2 |
users search | 2 |
caregivers trust | 2 |
authorized users | 2 |
latent periods | 2 |
recent developments | 2 |
effective strategies | 2 |
significant worsened | 2 |
information revolution | 2 |
analysis suggested | 2 |
possibly due | 2 |
retrospective studies | 2 |
special interest | 2 |
two handsets | 2 |
avoid overlapping | 2 |
handsets will | 2 |
since multiple | 2 |
two aspects | 2 |
health research | 2 |
positive predictive | 2 |
videos watched | 2 |
states showed | 2 |
detection settings | 2 |
medical screening | 2 |
find evidence | 2 |
human cognitive | 2 |
third industrial | 2 |
distancing guidelines | 2 |
time within | 2 |
seems likely | 2 |
predict diseases | 2 |
tools access | 2 |
will create | 2 |
google built | 2 |
using digital | 2 |
called google | 2 |
race ethnicity | 2 |
tree classification | 2 |
expert team | 2 |
demand shifts | 2 |
common cold | 2 |
naturalistic prospective | 2 |
trends using | 2 |
learning disabilities | 2 |
within search | 2 |
universally across | 2 |
accessing data | 2 |
free social | 2 |
total population | 2 |
aba services | 2 |
cases within | 2 |
international news | 2 |
url option | 2 |
official youtube | 2 |
newspapers educate | 2 |
first time | 2 |
online publishers | 2 |
suicide statistics | 2 |
recently published | 2 |
intervention sense | 2 |
see panel | 2 |
term dengue | 2 |
rectangle will | 2 |
infected pneumonia | 2 |
search type | 2 |
social engagements | 2 |
across models | 2 |
plos one | 2 |
data resource | 2 |
within metres | 2 |
unique search | 2 |
region analysis | 2 |
communication strategies | 2 |
first performed | 2 |
greatly increased | 2 |
full list | 2 |
english population | 2 |
disease monitoring | 2 |
accessed immuni | 2 |
strong werther | 2 |
study analysed | 2 |
provide instructions | 2 |
measures include | 2 |
seeking behaviour | 2 |
negative impact | 2 |
level innovation | 2 |
platforms underwent | 2 |
maximum likelihood | 2 |
many studies | 2 |
predictive power | 2 |
across experiments | 2 |
seeking information | 2 |
values reported | 2 |
unreasonable effectiveness | 2 |
national subregions | 2 |
binge watching | 2 |
learning bias | 2 |
information pertaining | 2 |
higher share | 2 |
inhibiting sars | 2 |
safety potential | 2 |
mobile handsets | 2 |
included family | 2 |
different algorithms | 2 |
people stay | 2 |
two categories | 2 |
behavioral framework | 2 |
many researchers | 2 |
unnecessary clinic | 2 |
weekend days | 2 |
partially due | 2 |
left trouser | 2 |
positive increases | 2 |
internet information | 2 |
advertising costs | 2 |
assessing ebola | 2 |
complex way | 2 |
experiment participants | 2 |
mostly caused | 2 |
form identifier | 2 |
might contribute | 2 |
significant group | 2 |
additional measures | 2 |
also included | 2 |
structured data | 2 |
public attention | 2 |
also obtained | 2 |
online shopping | 2 |
based systems | 2 |
many ways | 2 |
basic medical | 2 |
early stages | 2 |
lockdown enforced | 2 |
challenges associated | 2 |
news aggregators | 2 |
media professionals | 2 |
slides within | 2 |
phylogeographic models | 2 |
hipaacompliant cloud | 2 |
using looker | 2 |
countries selected | 2 |
years prior | 2 |
alter daily | 2 |
content consumed | 2 |
analyze regional | 2 |
environment indicator | 2 |
common factors | 2 |
large population | 2 |
three features | 2 |
less circadian | 2 |
obtained using | 2 |
ross river | 2 |
nonverbal social | 2 |
us dollars | 2 |
depression screening | 2 |
severe covid | 2 |
research project | 2 |
proven far | 2 |
tm search | 2 |
impressive scale | 2 |
main objective | 2 |
longitudinal behavioral | 2 |
google saw | 2 |
analysis tools | 2 |
abundant usages | 2 |
computer software | 2 |
pandemic waves | 2 |
strong correlations | 2 |
sensors data | 2 |
configuration settings | 2 |
program interface | 2 |
large technological | 2 |
well correlated | 2 |
rubella svm | 2 |
enable comparison | 2 |
provide praise | 2 |
liwc output | 2 |
clinical utility | 2 |
entire individual | 2 |
sleeping patterns | 2 |
understanding associations | 2 |
adult depression | 2 |
thank dr | 2 |
deadly viral | 2 |
thyroid nodule | 2 |
party material | 2 |
certain aspects | 2 |
without leading | 2 |
type answered | 2 |
app follows | 2 |
higher risk | 2 |
notifiable infectious | 2 |
mouth disease | 2 |
circadian lifestyles | 2 |
reports related | 2 |
army research | 2 |
merging firms | 2 |
epidemic classification | 2 |
realistic mathematical | 2 |
drop activities | 2 |
scalable accuracy | 2 |
search events | 2 |
screening requires | 2 |
reluctancy induced | 2 |
cases google | 2 |
neglected tropical | 2 |
experimental setting | 2 |
vertical lines | 2 |
alarming spread | 2 |
content showed | 2 |
appropriate choice | 2 |
understanding human | 2 |
rainfall data | 2 |
recorded regardless | 2 |
successive sampling | 2 |
takeout web | 2 |
body shaming | 2 |
jakob disease | 2 |
illness surveillance | 2 |
influences current | 2 |
viral strains | 2 |
disorders enhancing | 2 |
independent samples | 2 |
chronic conditions | 2 |
bybdn yb | 2 |
identify individuals | 2 |
bias elimination | 2 |
new hosts | 2 |
virus must | 2 |
search costs | 2 |
understanding online | 2 |
smaller platforms | 2 |
standard design | 2 |
consumer choice | 2 |
toward chikungunya | 2 |
screening methods | 2 |
table displays | 2 |
communicable disease | 2 |
important reason | 2 |
neck swelling | 2 |
leaf node | 2 |
higher quality | 2 |
tracking covid | 2 |
comprehensive list | 2 |
stock return | 2 |
contextualized classification | 2 |
health agencies | 2 |
global efforts | 2 |
keywords associated | 2 |
countries like | 2 |
loss compared | 2 |
one useful | 2 |
healthcare frameworks | 2 |
gt allows | 2 |
using expert | 2 |
style section | 2 |
systems using | 2 |
significant associations | 2 |
allowing estimation | 2 |
columns represent | 2 |
individual movement | 2 |
activity happened | 2 |
application program | 2 |
far better | 2 |
presentation will | 2 |
results show | 2 |
first paragraph | 2 |
different states | 2 |
semantic aspect | 2 |
economies india | 2 |
six topics | 2 |
interactions may | 2 |
first introduced | 2 |
collected using | 2 |
previous outbreaks | 2 |
welfare derived | 2 |
european communicable | 2 |
see additional | 2 |
developed signals | 2 |
crowding metrics | 2 |
like twitter | 2 |
social consequences | 2 |
either smell | 2 |
term interest | 2 |
similarity group | 2 |
monitor dengue | 2 |
one fashion | 2 |
great interest | 2 |
i pe | 2 |
introducing quarantine | 2 |
automatic analyses | 2 |
moderately correlated | 2 |
term data | 2 |
measles rises | 2 |
relative orientation | 2 |
tropical disease | 2 |
scalar continuous | 2 |
occur mostly | 2 |
differed across | 2 |
will briefly | 2 |
establish non | 2 |
significant decreases | 2 |
student communities | 2 |
personal affair | 2 |
average attenuation | 2 |
bulletin europeen | 2 |
macro observations | 2 |
model based | 2 |
circadian rhythms | 2 |
states government | 2 |
advanced research | 2 |
literature students | 2 |
health disorders | 2 |
color gradient | 2 |
national search | 2 |
market returns | 2 |
whole period | 2 |
smell tweets | 2 |
searches relating | 2 |
net effect | 2 |
cma analysis | 2 |
advertising business | 2 |
essential items | 2 |
unprecedented scale | 2 |
may prefer | 2 |
epidemiological assessment | 2 |
trends research | 2 |
helpful information | 2 |
models also | 2 |
record data | 2 |
disseminating information | 2 |
polyarteritis nodosa | 2 |
dependent variable | 2 |
insert link | 2 |
question whether | 2 |
identify people | 2 |
caregivers may | 2 |
potential influence | 2 |
papageno effects | 2 |
using time | 2 |
also includes | 2 |
pcr testing | 2 |
daily sleep | 2 |
features included | 2 |
epidemic disease | 2 |
merger assessment | 2 |
mood disorders | 2 |
brief measure | 2 |
flu example | 2 |
loss increased | 2 |
bars indicate | 2 |
main supermarket | 2 |
using several | 2 |
confidence interval | 2 |
data repository | 2 |
polymyalgia rheumatica | 2 |
old one | 2 |
classroom applications | 2 |
disease study | 2 |
customer base | 2 |
facing services | 2 |
disease dynamics | 2 |
travel time | 2 |
lockdown began | 2 |
spatiotemporal dynamics | 2 |
poor adherence | 2 |
affect transmission | 2 |
features captured | 2 |
online identities | 2 |
value flow | 2 |
ubiquitous daily | 2 |
unique ability | 2 |
customers will | 2 |
learner responses | 2 |
permission directly | 2 |
host genomes | 2 |
specified outcomes | 2 |
national influenza | 2 |
screening system | 2 |
revolutionize healthcare | 2 |
investigated countries | 2 |
specific location | 2 |
eyewitness reports | 2 |
inflammatory rheumatic | 2 |
normalized inactivity | 2 |
scientific literature | 2 |
health departments | 2 |
sidewalk indicator | 2 |
flu infection | 2 |
uk symbol | 2 |
data debiasing | 2 |
septic arthritis | 2 |
digital firms | 2 |
adjacent events | 2 |
welfare cost | 2 |
shopping patterns | 2 |
air travel | 2 |
constant flux | 2 |
nll loss | 2 |
online systems | 2 |
infection rate | 2 |
effect sizes | 2 |
contains supplementary | 2 |
gradually recovered | 2 |
point hour | 2 |
voice recorder | 2 |
vast majority | 2 |
presents examples | 2 |
market risks | 2 |
reduced usage | 2 |
obtain information | 2 |
higher range | 2 |
game show | 2 |
tree branches | 2 |
trends related | 2 |
pandemic using | 2 |
italy usa | 2 |
across hours | 2 |
press council | 2 |
one standard | 2 |
annual confounding | 2 |
fundamentally different | 2 |
selected keywords | 2 |
first cases | 2 |
three pairs | 2 |
investigate loss | 2 |
period started | 2 |
related events | 2 |
provides support | 2 |
cause fluctuations | 2 |
national online | 2 |
risk among | 2 |
significant rsv | 2 |
median reported | 2 |
google history | 2 |
previous section | 2 |
circadian pattern | 2 |
single independent | 2 |
pandemic covid | 2 |
economic analysis | 2 |
trends assessing | 2 |
impact factor | 2 |
usage sessions | 2 |
helpful media | 2 |
medical imaging | 2 |
regarding fever | 2 |
energy use | 2 |
reactive arthritis | 2 |
researches involving | 2 |
validated patient | 2 |
ubiquitous data | 2 |