trigram

This is a table of type trigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

trigram	frequency
the united states	55
the number of	55
during the covid	53
in the united	46
as well as	44
the use of	43
google search and	40
mental health conditions	33
search and youtube	33
the gaen api	33
the impact of	31
be used to	31
media reporting of	30
can be used	30
google flu trends	29
the spread of	29
in order to	28
in terms of	28
in this study	28
reporting of suicide	26
during the pandemic	26
of the covid	26
based on the	25
before and after	25
an increase in	25
after the outbreak	25
using google trends	24
relative search volume	24
google trends data	22
of google trends	22
the orval model	22
one of the	22
and after the	22
the fact that	22
increase in the	21
a number of	21
such as the	20
the importance of	20
it can be	19
google trends to	19
as shown in	19
of the population	18
for each participant	18
the quality of	18
the role of	18
based surveillance systems	18
the relationship between	18
deteriorating mental health	18
the change in	17
search interest for	17
there is no	17
a systematic review	17
of this study	17
the present study	17
public interest in	17
of the virus	17
google street view	16
of viral infections	16
of sense of	16
sense of smell	16
loss of smell	16
mental health profiles	16
of the lockdown	16
of infectious disease	16
and google search	16
informal digital systems	16
the anx group	15
can be seen	15
to assess the	15
on the other	15
infodemiology and infoveillance	15
for disease control	15
a range of	15
of disease outbreaks	15
shown in fig	15
the search terms	15
spread of the	15
in the uk	15
due to the	15
most of the	15
that can be	14
when compared to	14
the outbreak of	14
search interest data	14
of infectious diseases	14
of the search	14
the other hand	14
with and without	14
of the study	14
it has been	14
digital instructional activities	14
wide range of	14
and social media	14
disease control and	14
the general public	14
the attenuation level	14
included in the	14
control and prevention	14
the interest in	13
of search terms	13
on the internet	13
a set of	13
online behavior changes	13
mental health problems	13
the google trends	13
the potential to	13
the effects of	13
the period of	13
it is important	13
competing bi tools	13
period of time	13
the protective film	13
than the non	13
from google trends	12
prior to the	12
search volume for	12
infectious disease outbreaks	12
received signal strength	12
and google trends	12
the google data	12
in mental health	12
differences between groups	12
of big data	12
of media reporting	12
a wide range	12
related search terms	12
related to the	12
in the google	12
the changes in	12
of the pandemic	12
and mental health	12
the need for	12
in relative search	12
a source of	12
search engine query	11
the coronavirus disease	11
to be a	11
infectious disease surveillance	11
the effect of	11
to investigate the	11
the potential for	11
to explore the	11
in this paper	11
a significant increase	11
day of the	11
quality of media	11
market power in	11
significant increase in	11
street view images	11
the results of	11
the cma found	11
as a source	11
the online behavior	11
engine query data	11
rubella and measles	11
of celebrity suicide	11
google trends tm	11
the ability of	11
each of the	11
the ability to	11
is important to	11
of informal digital	11
strict lockdown rules	11
in the u	11
of the data	11
early detection of	11
anosmia and ageusia	11
search terms with	11
the case of	11
u r n	10
the search term	10
in this article	10
data from the	10
this type of	10
l p r	10
the lockdown rules	10
the lack of	10
time away from	10
in online behaviors	10
is consistent with	10
the majority of	10
there has been	10
period of lockdown	10
suicide in india	10
anxiety and depression	10
to create a	10
the dep group	10
be due to	10
world health organization	10
over the lockdown	10
visible utility wires	10
using search engine	10
cma found that	10
google search trends	10
in the present	10
with respect to	10
a l p	10
a google trends	10
changes in the	10
swiss and german	10
p r e	10
use of google	10
of public health	10
late night activities	10
r n a	10
r o o	10
o u r	10
a series of	10
o o f	10
months of the	10
and error correction	10
j o u	10
google mobility data	10
of the week	10
n a l	10
differences in the	10
of the google	10
the end of	10
of google searches	10
p r o	10
the time of	10
during the coronavirus	10
the rest of	10
to study the	10
google trends in	10
of the participants	10
built environment characteristics	10
a significant difference	10
the value of	10
search terms that	10
to similar periods	9
in this case	9
such as google	9
found that the	9
google searches and	9
the new normality	9
found that google	9
influenza epidemics using	9
the epidemiology of	9
to address the	9
all of the	9
the strict lockdown	9
we do not	9
the attenuation duration	9
be seen that	9
among college students	9
acute respiratory syndrome	9
the general population	9
of the online	9
the possibility of	9
of the coronavirus	9
we did not	9
traditional surveillance systems	9
the distribution of	9
allows us to	9
has been shown	9
significant differences between	9
detecting influenza epidemics	9
cases per million	9
the level of	9
to determine the	9
was used to	9
in social media	9
in addition to	9
time surveillance of	9
around the world	9
all rights reserved	9
of hand sanitiser	9
centers for disease	9
epidemics using search	9
increased interest in	9
compared to similar	9
google trends analysis	9
to ensure that	9
the development of	9
the anx and	8
the dep and	8
to better understand	8
outbreak of covid	8
the process of	8
had a higher	8
in online behavior	8
the lancet psychiatry	8
the volume of	8
the learner to	8
state of alarm	8
with clients and	8
public health and	8
to capture the	8
number of people	8
source of information	8
as a result	8
surveillance of disease	8
users tweeting about	8
the open display	8
in the gad	8
the occurrence of	8
reported by the	8
in the context	8
the peak of	8
the google mobility	8
used as a	8
be used for	8
single lane roads	8
the percentage change	8
of suicide in	8
surveillance systems have	8
of acute pharyngitis	8
the set of	8
to have a	8
of this disease	8
is able to	8
the current covid	8
of smell and	8
online behavior features	8
the online data	8
traditional epidemiological methods	8
as compared to	8
open display market	8
version of the	8
rest of the	8
large number of	8
systematic review of	8
likely to be	8
search queries and	8
united states during	8
were labeled as	8
labeled as the	8
using the google	8
mass media communications	8
in the first	8
search terms for	8
contact tracing app	8
infectious skin diseases	8
the scope of	8
used in this	8
asv a t	8
have been used	8
it may be	8
global public health	8
of the most	8
impact of the	8
short event intervals	8
the university of	8
during the first	8
click on the	8
in open display	8
based tool for	8
this is a	8
be associated with	8
severe acute respiratory	8
tool for real	8
a variety of	8
the study of	8
the context of	8
is based on	8
its market power	8
on day t	7
we found that	7
true and false	7
a total of	7
to estimate the	7
of public interest	7
search volume activity	7
by the gaen	7
that in the	7
at different spatial	7
navigate to the	7
a foreclosure strategy	7
for infectious disease	7
smoking and alcohol	7
in quitting smoking	7
in the way	7
google pixel handsets	7
total number of	7
to identify the	7
interest in the	7
over the period	7
of exposure to	7
used in the	7
of market power	7
to anosmia and	7
the instructional activity	7
of data collection	7
groups with and	7
on outdoor recreation	7
reporting of celebrity	7
is given by	7
change in the	7
single family home	7
popular search terms	7
also found that	7
during the influenza	7
in the phq	7
health profiles in	7
terms relating to	7
the baseline period	7
adding a protective	7
in other words	7
in step of	7
google search queries	7
google trends and	7
data that are	7
referred to as	7
shortness of breath	7
the distributions of	7
google trends for	7
of strict lockdown	7
some of the	7
for the period	7
act as a	7
the second period	7
information on the	7
the prior years	7
for public health	7
review of the	7
the world health	7
the internet and	7
infectious disease epidemics	7
there is a	7
the data that	7
demand shift parameters	7
which was not	7
percentage change of	7
the form of	7
as long as	7
the troubleshooting tips	7
a protective film	7
in this work	7
time series data	7
adding text boxes	7
respiratory syndrome coronavirus	7
error correction slides	7
from the participants	7
to understand the	7
on the number	7
over the last	7
we calculated the	7
of information on	7
under normal conditions	7
search terms in	7
of the article	7
the swiss and	7
and youtube usages	7
is that the	7
side of the	7
and entertainment media	7
troubleshooting tips in	7
between the two	7
in health care	7
of coronavirus disease	7
navigate the learner	7
the purpose of	7
the copyright holder	7
the beginning of	7
from both hemispheres	7
in the data	7
computer vision models	7
the course of	7
could be used	7
in the literature	7
to the pandemic	7
associated with the	7
seeking and help	7
this article is	7
clients and caregivers	7
were used to	7
countries from both	7
we find that	7
stock market volatility	7
have the potential	7
on the toolbar	7
students in the	7
size of the	7
zip codes with	7
search terms were	7
a standard deviation	7
on social media	7
google and facebook	7
t db and	7
away from google	7
the percentage of	7
the evolution of	7
with an increase	7
there was a	7
and without deteriorating	7
on th june	7
tips in step	7
error correction slide	7
is associated with	7
search frequency data	7
mental health and	7
the total number	7
we focus on	7
to the troubleshooting	7
and public health	7
protective film to	6
the lockdown period	6
for the following	6
changes in user	6
two rounds of	6
shifts in online	6
foreclose competing bi	6
number of new	6
the differences between	6
are capable of	6
the behavior changes	6
online search interest	6
online version of	6
of recreation activity	6
internet search volumes	6
big data revolution	6
celebrity suicide in	6
zip code level	6
for mental health	6
the public interest	6
in which the	6
to foreclose competing	6
google slides presentation	6
to the outdoors	6
emerging infectious disease	6
the demand shift	6
in the usa	6
will need to	6
and false positive	6
google and bing	6
not certified by	6
searches and tweets	6
terms related to	6
consistent with the	6
public health surveillance	6
big data has	6
of newly infected	6
the inactivity periods	6
level google search	6
with regard to	6
the first to	6
world wide web	6
search and tweet	6
in the future	6
west nile virus	6
conflict of interest	6
of each participant	6
various aspects of	6
display the preprint	6
gaen api on	6
with google search	6
for the rest	6
application of internet	6
certified by peer	6
been shown to	6
provided by the	6
online media reports	6
generalized anxiety disorder	6
paired independent t	6
icon on the	6
in both rounds	6
the online version	6
dep and non	6
has granted medrxiv	6
the shape image	6
of the outbreak	6
are included in	6
anxiety or depressive	6
in user behaviors	6
health conditions and	6
to the correct	6
trends to investigate	6
systemic lupus erythematosus	6
the extent to	6
medrxiv a license	6
the prevalence of	6
online platforms and	6
the cma also	6
from the internet	6
and depression levels	6
disorders in the	6
the date of	6
the preprint in	6
the who guidelines	6
is the author	6
periods of the	6
health problems and	6
during the outbreak	6
be used as	6
the reference event	6
levels were assessed	6
interest in rheumatic	6
the risk of	6
used to detect	6
license to display	6
internet and social	6
cases of covid	6
a widely read	6
of college students	6
between the anx	6
on the slide	6
of online media	6
to the study	6
or equals to	6
the first period	6
the rise of	6
a comparison of	6
when engaging with	6
in the last	6
increase in rsv	6
more likely to	6
clients and families	6
evidence in the	6
huge volume of	6
digital systems are	6
change in mental	6
supported instructional activities	6
the rest were	6
the anxiety and	6
theories of harm	6
in the online	6
early warning systems	6
to smell loss	6
the cma considered	6
the utility of	6
the start of	6
about smell loss	6
been used to	6
seen that the	6
to the general	6
distance between handsets	6
any of the	6
to account for	6
public health informatics	6
adding navigation arrows	6
between the dep	6
the study period	6
access to data	6
who has granted	6
an absolute measure	6
and youtube histories	6
for this study	6
search volume of	6
attenuation level is	6
in the study	6
to reduce the	6
second period of	6
states during the	6
compared with the	6
data in the	6
in the case	6
film to the	6
for google trends	6
preprint in perpetuity	6
select the shape	6
volume of research	6
rheumatic diseases and	6
and a significant	6
an increased interest	6
a group of	6
and physical disorder	6
because of the	6
in google trends	6
are able to	6
to evaluate the	6
as mentioned above	6
was not certified	6
the mental health	6
the behavior shifts	6
used to predict	6
the author funder	6
showed that the	6
number of searches	6
extent to which	6
the choice set	6
this study was	6
the performance of	6
the correlation between	6
use of the	6
need to be	6
an indicator of	6
sources of data	6
the size of	6
of them reported	6
the analysis of	6
of the total	6
in a population	6
the nature of	6
a short period	6
half of the	6
relative increase in	6
in rheumatic diseases	6
epidemiology of viral	6
refer to the	6
used by the	6
relating to anosmia	6
of one month	6
clinical characteristics of	6
weighted search interest	6
the true and	6
search queries for	6
it is not	6
the most commonly	6
interest in quitting	6
information about the	6
user online behaviors	6
the efficiency of	6
greater than or	6
at a lag	6
google search frequency	6
of physical disorder	6
granted medrxiv a	6
a license to	6
analysis of the	6
of the first	6
make use of	6
anx and non	6
period of the	6
abnormal search volume	6
to analyze search	6
determined by the	6
outdoor recreation activity	6
the history log	6
than or equals	6
step of adding	6
health conditions of	6
of the internet	6
creative commons licence	6
and green streets	6
transmission dynamics of	6
this data is	6
behavior on the	6
by peer review	6
are used to	6
the relative search	6
lag of one	6
to display the	6
relaxed lockdown rules	6
in the past	6
social media and	6
indicators of physical	6
of the complaints	5
discrete trial teaching	5
in the covid	5
or more times	5
a lag of	5
in south korea	5
we use the	5
disease surveillance systems	5
difference was found	5
for early detection	5
to loss of	5
to the virus	5
health informatics methods	5
for all participants	5
as the distance	5
from the drop	5
media reporting guidelines	5
for each of	5
a small number	5
final approval of	5
head neck surg	5
at the zip	5
ensure that the	5
the aim of	5
search terms are	5
were associated with	5
is similar to	5
search terms to	5
of new cases	5
ginsberg et al	5
any foreclosure strategy	5
correlation between google	5
role in the	5
residents of england	5
that google search	5
our study results	5
markets around the	5
positive rate of	5
by google and	5
on google trends	5
present study is	5
of the disease	5
and distance between	5
to the slide	5
characteristics and covid	5
the cma has	5
the correct response	5
internet search data	5
of an outbreak	5
be caused by	5
the purposes of	5
to be used	5
the celebrity suicide	5
pneumonia in wuhan	5
specialised search providers	5
by the general	5
days before the	5
incidence than anosmia	5
this study is	5
english speaking countries	5
of the prior	5
increased risk of	5
the type of	5
communication and publication	5
the time series	5
for the purposes	5
of the market	5
the findings from	5
in this regard	5
social media as	5
interest over time	5
copyright holder for	5
roads and green	5
the received signal	5
between march and	5
associated with more	5
twitter and google	5
as a consequence	5
of google flu	5
the coronavirus crisis	5
private data sources	5
and web analytics	5
due to their	5
there are several	5
to view a	5
recreation activity over	5
in response to	5
to the region	5
of the gaen	5
compared to the	5
is likely to	5
pertaining to smell	5
has the potential	5
tailed paired independent	5
components of the	5
internet search queries	5
the threshold for	5
similar periods of	5
date of the	5
news media and	5
calculated the percentage	5
creating and sharing	5
a dataset of	5
is the most	5
digital advertising market	5
and publication behavior	5
see adding shapes	5
media as a	5
can also be	5
h n pandemic	5
to region g	5
small number of	5
for the first	5
in the us	5
a higher relative	5
in our experiments	5
related searches during	5
can then be	5
may be useful	5
significant difference in	5
at the end	5
the search queries	5
new daily covid	5
by the who	5
change in online	5
the centers for	5
by the cma	5
emerging infectious diseases	5
of the percentage	5
and the google	5
of the time	5
its impact on	5
data for the	5
that there is	5
with less than	5
as an example	5
have been done	5
the outside good	5
in the july	5
it is possible	5
advertising and web	5
of data about	5
health profiles of	5
web analytics products	5
the built environment	5
during the lockdown	5
disease outbreaks and	5
as a whole	5
less than a	5
advertising market study	5
on the google	5
see adding text	5
has been no	5
there was no	5
preprint this version	5
of news media	5
changes in online	5
for at least	5
surveillance systems are	5
google searches for	5
reuse allowed without	5
to be the	5
most likely to	5
of research activity	5
smell and taste	5
there is little	5
by social stigmas	5
has been demonstrated	5
interpretation of the	5
the sources of	5
higher relative increase	5
there is an	5
the system is	5
first period of	5
where to seek	5
rules on outdoor	5
comparison with the	5
environment characteristics and	5
and the general	5
in line with	5
were found between	5
google trends study	5
to describe the	5
the basis of	5
in the top	5
the severity of	5
for this preprint	5
assessment of the	5
head and neck	5
figure shows the	5
health and surveillance	5
a link to	5
there are many	5
of visits to	5
search volumes for	5
in the media	5
tweet and google	5
has led to	5
this study aims	5
standard deviation increase	5
within a country	5
approved by the	5
that it is	5
data on the	5
a function of	5
of prediction for	5
a stationary background	5
the cma to	5
based on a	5
after the reference	5
detection of infectious	5
increased compared to	5
to in the	5
for all regions	5
over this period	5
not able to	5
allowed without permission	5
of the merger	5
inserting audio files	5
access to the	5
engagement with the	5
of the orval	5
google trends search	5
use of greenspace	5
was carried out	5
were performed to	5
profiles in terms	5
the higher the	5
the source of	5
of the year	5
to the search	5
deviation increase in	5
different spatial scales	5
and tweet frequency	5
google dengue trends	5
the search engine	5
the internet to	5
in the form	5
at the beginning	5
the h n	5
google searches on	5
was a significant	5
national and international	5
shown to be	5
platforms and digital	5
as google search	5
the error correction	5
of the world	5
without deteriorating mental	5
smell loss and	5
has been used	5
terms of the	5
the state of	5
on account of	5
the orval predictions	5
the degree of	5
the large number	5
products and services	5
the same way	5
than m apart	5
health care research	5
of the main	5
relative to the	5
the public to	5
by the user	5
that have been	5
otolaryngol head neck	5
an exposure notification	5
of the demand	5
information about where	5
menon et al	5
db and t	5
digital instructional content	5
visits to the	5
holder for this	5
part of a	5
and in the	5
rheumatologists and immunologists	5
about where to	5
reported an increase	5
social media platforms	5
in the two	5
as an indicator	5
most commonly used	5
center for disease	5
the association between	5
be useful to	5
and has been	5
the zip code	5
b is the	5
and shortness of	5
during this period	5
publication behavior on	5
for influenza surveillance	5
to control the	5
the numbers of	5
is not a	5
surveillance systems for	5
from an array	5
significantly increased compared	5
many of the	5
of competing bi	5
tests were performed	5
this can be	5
focus on the	5
blocked by social	5
natural language processing	5
this version posted	5
is one of	5
a daily basis	5
means that the	5
between google trends	5
a cohort of	5
google time series	5
version posted august	5
jmir public health	5
concerning smell loss	5
in our study	5
the publication of	5
well as to	5
are presented in	5
was associated with	5
the google time	5
overlapping with the	5
google trend analysis	5
and social distancing	5
a result of	5
significant difference was	5
relating to loss	5
platforms such as	5
on a daily	5
to seek help	5
no reuse allowed	5
were observed in	5
increase in relative	5
the coronavirus pandemic	5
observed in the	5
study aims to	5
this preprint this	5
shown in figure	5
google trends was	5
presented in the	5
outbreak in china	5
surrounding this disease	5
with google trends	5
is no evidence	5
green streets were	5
of the five	5
of the model	5
and digital advertising	5
there was an	4
conditions during covid	4
and the impact	4
anx and dep	4
study in the	4
that rely on	4
activities in which	4
in relation to	4
a word cloud	4
are designed to	4
supported by the	4
internet search terms	4
anywhere on the	4
skin disease breakouts	4
study found that	4
during disease epidemics	4
an electronic medium	4
focused on the	4
of the sample	4
a pilot study	4
the behavior and	4
the onset of	4
number of google	4
and t db	4
to what extent	4
investigate if the	4
with previous studies	4
participants in our	4
with google flu	4
the two groups	4
youtube engagement logs	4
in an electronic	4
the link between	4
systems are capable	4
of statistical analysis	4
with online platforms	4
of the global	4
of the them	4
a world of	4
and google classroom	4
a high school	4
around the globe	4
the industrial revolution	4
depression and anxiety	4
the management of	4
by public health	4
we need to	4
work and full	4
the economic value	4
and the united	4
cross correlation results	4
the initial covid	4
first months of	4
of the present	4
that we have	4
provided information about	4
is protected by	4
and alcohol during	4
the distance is	4
data business models	4
depressive disorders during	4
from the online	4
and epidemiological processes	4
health conditions during	4
the population of	4
significant decrease in	4
based on pervasive	4
and it is	4
were utilized as	4
nature of the	4
features of the	4
the probability of	4
influenza virus a	4
severity of the	4
on the data	4
comparison of the	4
lockdown may have	4
be applied to	4
that google is	4
on the same	4
rheumatic diseases during	4
zhang et al	4
the inactivity divergence	4
true positive rate	4
our results demonstrated	4
a google classroom	4
the best of	4
behavior changes was	4
lower than the	4
data is provided	4
in health and	4
keywords representing suicide	4
rounds of the	4
single family homes	4
an examination of	4
those of the	4
false positive rate	4
surveillance systems built	4
study at any	4
the same day	4
also known as	4
private mobility sources	4
in the second	4
google trends keywords	4
in excess of	4
the infected person	4
characteristics of the	4
students with and	4
the participants were	4
worsened mental health	4
and time away	4
youtube as a	4
were in total	4
is the attenuation	4
log contained the	4
to that of	4
evidence from google	4
the outbreak in	4
detection of disease	4
in the number	4
engaging with google	4
college students in	4
statistically significantly increased	4
traced to the	4
shown statistically significant	4
performance in the	4
cross correlations were	4
watched by the	4
mean and standard	4
differences between the	4
see adding links	4
a navigation arrow	4
in infodemiology and	4
from research papers	4
of up to	4
are shown in	4
regional differences in	4
that individuals with	4
will continue to	4
set of features	4
a data warehouse	4
navigate to https	4
in internet search	4
of leisure time	4
to each region	4
scale population movement	4
used to reliably	4
with the lowest	4
of instructional activities	4
association between the	4
bcbas can create	4
our results indicated	4
known to be	4
between groups of	4
the perspective of	4
review and meta	4
reported rubella and	4
table shows the	4
found between the	4
fear of the	4
evidence on the	4
assessed using the	4
image using the	4
each google search	4
and default youtube	4
back to the	4
online media reporting	4
shown in table	4
deteriorating anxiety and	4
at least one	4
the distance between	4
an alternative to	4
gaen api and	4
of the general	4
at least years	4
an image using	4
suggest that the	4
systematic review and	4
to the baseline	4
public awareness of	4
a recent study	4
risk of infection	4
we input the	4
the current study	4
more frequently than	4
outbreaks of influenza	4
as a proxy	4
society at large	4
on the society	4
the proportion of	4
the google takeout	4
or depressive disorders	4
wang et al	4
for the same	4
figure gives an	4
the actual lockdown	4
were assessed using	4
a google slides	4
in the tram	4
an increase greater	4
the development and	4
between groups with	4
behavior features except	4
millions of people	4
economic value of	4
are based on	4
and psychological dimensions	4
bluetooth received signal	4
t is the	4
interest for terms	4
has been reported	4
be leveraged to	4
with the who	4
because of its	4
latent class regression	4
majority of the	4
methods to analyze	4
be traced to	4
to an increase	4
appears to have	4
as they are	4
with all components	4
level identified papers	4
risk factors for	4
for an emerging	4
short period of	4
are required to	4
and may be	4
period of strict	4
the united kingdom	4
as the non	4
between social media	4
day and smith	4
infectious disease events	4
correlations between the	4
of reported cases	4
for terms relating	4
data can be	4
the google search	4
depending on the	4
may lead to	4
recruited a cohort	4
guidelines on suicide	4
of the three	4
significant increases in	4
that the number	4
this market power	4
the physical world	4
behaviors during covid	4
trends in infodemiology	4
url to the	4
behaviour of the	4
machine learning algorithms	4
strongly correlated with	4
the authors declare	4
the related queries	4
the two distributions	4
the correct answer	4
computer vision and	4
and transmission dynamics	4
interest during the	4
for the inactivity	4
a reduction in	4
east respiratory syndrome	4
estimates of the	4
information such as	4
to insert an	4
of the information	4
statistically significant differences	4
online behaviors and	4
range of infectious	4
the gaen system	4
of the cma	4
tools and techniques	4
viral infections and	4
better understanding of	4
regardless of proximity	4
group of researchers	4
stock markets around	4
away from the	4
between deteriorating mental	4
to entry and	4
along with the	4
basic google slides	4
an important role	4
transmitter and receiver	4
a zip code	4
the data used	4
the differences in	4
first industrial revolution	4
increases in online	4
the icon is	4
study and analysis	4
beyond the scope	4
online data logs	4
children with autism	4
the werther effect	4
an average of	4
independent instructional activities	4
a value of	4
new york city	4
indicate that in	4
to quantify the	4
on that day	4
daily cases per	4
all components of	4
the interpretation of	4
of the second	4
caused by the	4
used it as	4
and design of	4
interest for suicide	4
agreement with all	4
using the internet	4
time series analysis	4
help for suicidal	4
evaluate the efficiency	4
end of the	4
the scale of	4
comorbidity survey replication	4
incentive to foreclose	4
which can be	4
preference its own	4
and google forms	4
assume that the	4
from google search	4
of h n	4
were collected from	4
for rheumatologists during	4
flu trends performance	4
incidence in the	4
of data is	4
distributions before and	4
although we did	4
rounds of data	4
the class shares	4
for the whole	4
of mental health	4
with the family	4
for patients with	4
informatics methods to	4
actual lockdown rules	4
republic of korea	4
important role in	4
the us national	4
and its impact	4
it was found	4
was the single	4
to the original	4
seven weeks of	4
one possible explanation	4
all nonsmell symptoms	4
see chapter on	4
of mobility data	4
divergence in the	4
of mental disorders	4
racial ethnic minorities	4
this is consistent	4
the main experiments	4
than a high	4
of work and	4
percentage increases in	4
the google looker	4
in the short	4
spatial patterns of	4
of the submission	4
instructional activities using	4
the them were	4
insert an image	4
acute pharyngitis is	4
identified papers co	4
there were in	4
in which a	4
lower urban development	4
urls and retweets	4
results indicated that	4
increasingly used to	4
with regards to	4
further studies are	4
on the use	4
the submission herein	4
approval of work	4
responsible media reporting	4
after the initial	4
the study at	4
of google search	4
institutional review board	4
the whole study	4
population movement can	4
study was to	4
rsv for suicide	4
higher prices for	4
increase greater than	4
may be due	4
to retrieve the	4
the promise of	4
relative changes of	4
to google forms	4
harshe et al	4
of the whole	4
disease in the	4
does not provide	4
are related to	4
this finding is	4
the target response	4
researches have been	4
cited or more	4
spread of viral	4
been shown that	4
the construction of	4
the impact on	4
we believe that	4
and full agreement	4
to the best	4
the magnitude of	4
shows the distributions	4
online data and	4
rheumatologists during the	4
movement can be	4
for each class	4
of the outdoors	4
recorded the url	4
google search engine	4
see inserting audio	4
less than m	4
in the national	4
it is also	4
is not linked	4
an urgent need	4
can be leveraged	4
bi tools to	4
in close proximity	4
using internet search	4
of built environment	4
the real world	4
the mean and	4
google trends of	4
that capture the	4
indicate that the	4
praise and error	4
the initial period	4
create a new	4
the virus and	4
were unable to	4
the seven weeks	4
and changes in	4
as the behavior	4
university of rochester	4
to public health	4
with the highest	4
a summary of	4
the google flu	4
group were female	4
in which they	4
a significant decrease	4
of a person	4
from mental health	4
full agreement with	4
carried out on	4
of our knowledge	4
set of public	4
google slides functions	4
the first industrial	4
informal digital resources	4
and measles cases	4
youtube category tags	4
niederkrotenthaler et al	4
studies are required	4
features we developed	4
new daily cases	4
participated in both	4
of the screen	4
were extracted from	4
a study of	4
decrease in relative	4
lockdown in england	4
that zip codes	4
for the term	4
and without worsened	4
we assume that	4
to the error	4
the furman review	4
we applied the	4
start of the	4
to specialised search	4
tweeting about smell	4
could be that	4
of covariance were	4
the shifts in	4
of visitation to	4
can be easily	4
understanding of the	4
queries and keyword	4
them reported an	4
indicates that the	4
add the protective	4
in recent years	4
periods during the	4
trends in health	4
could not be	4
strength and distance	4
for suicidal thoughts	4
did not find	4
aspects of this	4
exposure notification app	4
infection or disease	4
composition of manuscript	4
article is protected	4
all search terms	4
period of interest	4
months before and	4
relevance score is	4
data such as	4
correlations were performed	4
the url to	4
the findings of	4
framework for an	4
depressive symptom severity	4
the data is	4
in each dimension	4
to improve the	4
the first months	4
they are not	4
public inquiries into	4
we hope that	4
the data and	4
for es is	4
monthly reported rubella	4
and display advertising	4
and used it	4
psychometric properties of	4
of market uncertainty	4
substantial contributions to	4
the reliability of	4
part of the	4
history log contained	4
was found that	4
and how it	4
private history logs	4
under the actual	4
in this type	4
to engage in	4
end of january	4
newly infected cases	4
scores were labeled	4
an illustration of	4
this sort of	4
part of this	4
park visitation change	4
high school education	4
recreation demand model	4
the national comorbidity	4
had a significant	4
can use google	4
increase than the	4
find that the	4
without worsened mental	4
create and share	4
to be associated	4
the time period	4
and youtube engagement	4
system based on	4
trends performance in	4
for late night	4
is focused on	4
were performed on	4
of visits from	4
inquiries into pharyngitis	4
and the rest	4
a consequence of	4
specific to the	4
in the same	4
an emerging set	4
best of our	4
with mental health	4
and can be	4
design of study	4
an estimate of	4
as a measurement	4
national comorbidity survey	4
percent with less	4
gives an illustration	4
value of greenspace	4
signal strength and	4
the research community	4
and sharing digital	4
bcbas can use	4
also recorded the	4
pair of handsets	4
numbers of newly	4
chandra et al	4
from the first	4
emerging set of	4
the rate of	4
to determine whether	4
in the bottom	4
that there has	4
same day of	4
studies in which	4
contact tracing apps	4
both google and	4
assessing google flu	4
each of these	4
were used for	4
showed significant differences	4
quality of online	4
catalonia and madrid	4
region g on	4
are known to	4
significant difference between	4
internet searches for	4
of this work	4
by differences in	4
showed a significant	4
in this area	4
and german detection	4
using google search	4
to the who	4
have shown statistically	4
using google slides	4
the most important	4
task analyses for	4
by using google	4
might be expected	4
these systems are	4
threshold for es	4
under the strict	4
volume of search	4
data source for	4
it as a	4
in our analysis	4
frequency pertaining to	4
human immunodeficiency virus	4
a and b	4
same way as	4
quitting smoking and	4
internet search metrics	4
the dimensions database	4
correlations were observed	4
conflicts of interest	4
within a short	4
to reliably predict	4
new york times	4
that google trends	4
to arrive at	4
of study and	4
was able to	4
the science of	4
both rounds of	4
to share the	4
activities with clients	4
of the manuscript	4
patterns of transmission	4
sources of mobility	4
in late night	4
the amount of	4
equals to in	4
using data from	4
is available in	4
depression levels were	4
german detection rules	4
us national level	4
remain in tile	4
ability of competing	4
the online media	4
of neighborhood features	4
of value creation	4
during the current	4
to our measurement	4
specific examples of	4
for each disease	4
being able to	4
default youtube category	4
available at https	4
should be the	4
for the google	4
contributed to the	4
the liwc dimensions	4
interest in coronavirus	4
top of the	4
social media platform	4
and the change	4
our study is	4
exposure to the	4
all of them	4
is used to	4
relationship between deteriorating	4
research needs to	4
due to a	4
inactivity divergence in	4
to the cma	4
the google slides	4
from the perspective	4
account of the	4
of changes in	4
independent grocery retailers	4
the research team	4
started to increase	4
on recreation activity	4
that is not	4
behavior changes were	4
a search engine	4
the restrictions on	4
recent celebrity suicide	4
data from google	4
this may be	4
analyses of covariance	4
on the basis	4
with the same	4
worsened during the	4
deep convolutional neural	4
in the end	4
for the liwc	4
of the correct	4
and other factors	4
in real time	4
data from a	4
than its competitors	4
for the terms	4
content analysis of	4
are increasingly used	4
during each round	4
and the number	4
of the user	4
the in the	4
performed to investigate	4
type of activity	4
into the box	4
in these two	4
big data business	4
tweeting about covid	4
basic demographic information	4
in this period	4
for of the	4
over the past	4
lane residential roads	4
the ratio of	4
use of internet	4
the central trend	4
similar to that	4
it does not	4
from january to	4
longer than hours	4
a review of	4
that there was	4
the influenza virus	4
and keyword trends	4
was used in	4
the percentage increases	4
the study found	4
for proximity detection	4
dataset of search	4
interest in covid	4
contributions to conception	4
course of the	4
fluctuations in mental	4
the raw materials	4
response to the	4
distributions of the	4
are correlated with	4
and standard deviation	4
entry and expansion	4
strong position in	4
protected by copyright	4
data to monitor	4
in otolaryngology practices	4
learner to the	4
behaviour under the	4
it should be	4
of user online	4
google and youtube	4
increased activity under	4
restrictions on driving	4
individuals with an	4
from other countries	4
rest were labeled	4
the fill color	4
see adding a	4
to deal with	4
the way that	4
we counted the	4
magnitude of the	4
by the authors	4
used google trends	4
of viral diseases	3
health seeking behavior	3
the first step	3
of a series	3
enables users to	3
has previously been	3
studies have used	3
the peak in	3
organic search results	3
google has leveraged	3
changes in google	3
view a summary	3
terms can be	3
add a link	3
the same data	3
numbers of covid	3
this could be	3
of access to	3
public health intelligence	3
incentive to use	3
declare a particular	3
surveillance systems and	3
orval greenspace map	3
be seen from	3
is beyond the	3
to the praise	3
in the community	3
making it difficult	3
a proxy for	3
rank correlation test	3
led to a	3
the opportunity to	3
search user trends	3
rules trigger no	3
system aimed at	3
access to google	3
or not the	3
not evenly distributed	3
to create and	3
were similar to	3
is not feasible	3
and public policy	3
the lockdown in	3
for websites with	3
out on a	3
in the current	3
the longitudinal data	3
new forms of	3
orval estimate of	3
reproduction in any	3
of visitation change	3
of and a	3
seek help for	3
tweet frequency concerning	3
to identify and	3
on the results	3
region over a	3
cases of ebola	3
in the time	3
scope of the	3
two time series	3
july and august	3
january and april	3
and the potential	3
the integration of	3
online behavior and	3
final social media	3
sense of taste	3
rules on recreation	3
did not show	3
all the people	3
of the changes	3
at the start	3
in the attenuation	3
first day of	3
community mobility reports	3
european center for	3
the incidence of	3
volume for many	3
the strength of	3
to those in	3
the rules on	3
to preventive measures	3
a prevalence of	3
aspects of the	3
as with google	3
attenuation level observed	3
greater than m	3
transmit power level	3
at least of	3
search volume index	3
h n influenza	3
as a continuous	3
correlated google trends	3
related web search	3
of one another	3
the park visitation	3
position in social	3
were able to	3
i t is	3
can be estimated	3
greenspace over the	3
and ageusia and	3
the ultimate aim	3
routes a and	3
at the same	3
rely on data	3
an attempt to	3
an overview of	3
associations between built	3
competitive constraint on	3
which is a	3
introduced in the	3
sources of market	3
that google flu	3
and analytics team	3
in case of	3
the bdigital exhaust	3
developed based on	3
estimate of visits	3
in the parameters	3
a praise slide	3
publisher ad server	3
the first day	3
complete list of	3
a h n	3
face mask and	3
notifications by randomly	3
have reported that	3
on the potential	3
of attenuation level	3
search and display	3
change of late	3
greatly enhanced the	3
results of a	3
is an informal	3
derived built environment	3
available in the	3
provided at level	3
capable of early	3
this line of	3
performance of changes	3
the influence of	3
impact on performance	3
the full attenuation	3
across the open	3
cma considered that	3
for search terms	3
health surveillance and	3
the google classroom	3
science of distribution	3
organize and share	3
which in turn	3
report on the	3
burden of disease	3
use google slides	3
of activities in	3
in which individuals	3
a lag value	3
their offline selves	3
selecting t db	3
that could be	3
citizens of england	3
was obtained from	3
between received signal	3
defined as the	3
evidence of the	3
attenuation duration below	3
the present feature	3
media reports of	3
of implemented policies	3
is a free	3
authors declare no	3
apple exposure notification	3
the choice of	3
between january and	3
the same time	3
out the importance	3
time of the	3
will also need	3
address the informational	3
study is to	3
the s p	3
a novel coronavirus	3
use of this	3
gaen api is	3
ultimate aim to	3
was performed using	3
the parable of	3
as epidemic at	3
for emerging infectious	3
page of j	3
highlight the need	3
this article are	3
loss as the	3
may be caused	3
of all participants	3
air pollution and	3
the population in	3
trends was used	3
market power and	3
search engine and	3
eu commi ssion	3
relevant search results	3
to navigate the	3
might not be	3
and do not	3
spread of influenza	3
between july and	3
who read the	3
in both and	3
in google search	3
with a peak	3
scale of the	3
the informational demands	3
the most relevant	3
current methods for	3
remove link and	3
compensate for the	3
for screening mental	3
features that can	3
patterns and the	3
value of the	3
c in fig	3
of adding links	3
facebook data for	3
in a zip	3
mobility restriction policies	3
in any of	3
over the course	3
residential roads and	3
effects of the	3
and researchers have	3
of this article	3
dilapidated buildings and	3
the near future	3
diseases based on	3
reported cases for	3
to see the	3
accuracy of prediction	3
in the development	3
number of reported	3
of research papers	3
influenza a h	3
hospitalized patients with	3
estimates for covariates	3
of media reports	3
raw search interest	3
data is not	3
trigger an exposure	3
applied the detection	3
during the study	3
were obtained from	3
to decide when	3
parable of google	3
the popularity of	3
the tram there	3
on one hand	3
the history of	3
navigating to the	3
for creating digital	3
the most popular	3
later in the	3
the accuracy of	3
the tram dataset	3
to make use	3
can be due	3
linguistic inquiry and	3
of the outside	3
of each lsoa	3
no significant difference	3
internetbased surveillance systems	3
the human population	3
to examine the	3
to monitoring infectious	3
positive detection rates	3
mental health issues	3
trips to the	3
or very strong	3
can be utilized	3
nonsmell symptoms of	3
to our knowledge	3
counterfactual in which	3
as the model	3
keywords after the	3
neighborhood built environment	3
used to identify	3
the loss function	3
in the open	3
release available at	3
days after the	3
the orval greenspace	3
to a new	3
and youtube searches	3
evolutionary and epidemiological	3
may indicate that	3
various mental health	3
to rely on	3
giant cell arteritis	3
they concluded that	3
measurement study carried	3
estimates of disease	3
screening mental health	3
white link bar	3
beginning of the	3
we are the	3
related search queries	3
recent studies have	3
by residents of	3
belonging to the	3
closure of schools	3
tweets containing urls	3
to a person	3
of human movement	3
that google has	3
train caregivers to	3
the features of	3
information that is	3
search activity for	3
than traditional surveillance	3
with the most	3
and use the	3
were more likely	3
other infectious diseases	3
item relevance score	3
the actual number	3
of smell loss	3
not statistically significant	3
regardless of the	3
long as the	3
over that period	3
and the gaen	3
of a particular	3
prediction for measles	3
phylodynamics links evolutionary	3
autism spectrum disorder	3
traps in big	3
area of research	3
see press release	3
not navigating to	3
applied behavior analysis	3
the removal of	3
of any foreclosure	3
used to analyze	3
of the features	3
google trends on	3
analyse the data	3
and german apps	3
remains neutral with	3
in a future	3
close proximity to	3
and the covid	3
the five countries	3
platform that allows	3
can and cannot	3
terms in the	3
terms during the	3
by calculating the	3
a commuter bus	3
directly from the	3
the location of	3
academy of otolaryngology	3
be used by	3
orval time series	3
developed by the	3
the information is	3
are described in	3
up to search	3
behaviors during disease	3
of relaxed lockdown	3
to google trends	3
at the population	3
the introduction of	3
of residential and	3
the story of	3
the basic idea	3
for more than	3
of the community	3
around of the	3
of the diseases	3
the northern hemisphere	3
data for good	3
use of attenuation	3
used as an	3
bcbas will also	3
number of countries	3
with the ultimate	3
for smoking cessation	3
deaths due to	3
in the following	3
triggering notifications by	3
to the same	3
described in sect	3
google looker merger	3
in the near	3
data with the	3
trained a standard	3
published maps and	3
march to may	3
used in these	3
number of infected	3
research activity in	3
particular month as	3
then be used	3
of infectious skin	3
if the item	3
the focus of	3
and during the	3
of online behavior	3
seeking behaviors during	3
visits to a	3
data about the	3
that the search	3
on a population	3
adherence with the	3
potential to reduce	3
the day of	3
using google applications	3
predict skin disease	3
in the relative	3
signal strength is	3
then trained a	3
the epicenter of	3
shows that the	3
our measurements indicate	3
note springer nature	3
similar to the	3
infectious diseases using	3
false positive detection	3
the influenza season	3
and tweets concerning	3
alternative uses of	3
to declare a	3
spread of coronavirus	3
middle east respiratory	3
between built environment	3
the relative volume	3
death of ssr	3
important confounders that	3
the patterns of	3
the reduction of	3
not linked or	3
in the search	3
tweet frequency regarding	3
the rules of	3
range of possible	3
to inform public	3
to the internet	3
press corne r	3
loss of sense	3
according to this	3
select remove link	3
change time series	3
number of diseases	3
plots the true	3
on february th	3
attenuation duration data	3
to the web	3
words related to	3
specifically the internet	3
economies of scale	3
articles did not	3
found to be	3
impact of covid	3
been able to	3
of images in	3
the periods of	3
the goal of	3
are prone to	3
times in the	3
no exposure notifications	3
people searching for	3
it would be	3
the low threshold	3
to the total	3
viruses and associated	3
neighborhood features that	3
need to consider	3
health and the	3
n all sample	3
built environment indicators	3
models have been	3
the retail sector	3
demonstration of the	3
bdigital exhaust of	3
and other health	3
to outdoor recreation	3
seasonal variation in	3
search frequency pertaining	3
this work we	3
monitoring infectious diseases	3
our focus is	3
the creative commons	3
of popular search	3
no evidence in	3
its own activities	3
have been raised	3
surveillance data and	3
of new infections	3
satellite imagery and	3
more robust indicators	3
keywords related to	3
problems among the	3
the online search	3
in late february	3
of undergraduate students	3
private google search	3
for detection of	3
time and duration	3
of a covid	3
peak of the	3
classification model was	3
the republic of	3
with novel coronavirus	3
a time series	3
since there is	3
is that it	3
activity for many	3
in rsv for	3
of users to	3
visitation to region	3
limitation of this	3
the ability and	3
leading to an	3
not available to	3
search term to	3
detai l en	3
findings of this	3
lane roads and	3
tracked by using	3
the knowledge base	3
jurisdictional claims in	3
for a wide	3
used for all	3
in zip codes	3
excellent reliability for	3
the white link	3
the largest percentage	3
to the public	3
in new york	3
the top of	3
the european center	3
data and google	3
are not navigating	3
and click add	3
seasonal variations in	3
evaluate a dataset	3
by the italian	3
on a commuter	3
a change in	3
significance of the	3
on the spread	3
minimal caregiver support	3
we investigated whether	3
it attempts to	3
activity under strict	3
to use the	3
argue that the	3
middle income countries	3
with more than	3
we aim to	3
that they have	3
and associated diseases	3
sa in the	3
the last two	3
provides information on	3
full attenuation duration	3
we care about	3
linked or linked	3
detection rules used	3
of individuals in	3
google search user	3
with the number	3
reduction of unnecessary	3
as a diagnostic	3
and risk factors	3
has already been	3
to obtain the	3
of all the	3
as to the	3
code of conduct	3
robust indicators of	3
mode of transmission	3
are interested in	3
two of the	3
under strict lockdown	3
is used as	3
creative commons attribution	3
compete more effectively	3
searches for coronavirus	3
performed using google	3
the detection rules	3
represents the biggest	3
can be found	3
an incentive to	3
is in line	3
we used google	3
can be traced	3
web analytics product	3
areas of england	3
management of acute	3
keywords for rubella	3
pandemic in spain	3
at least as	3
health seeking behaviors	3
health care providers	3
from countries with	3
api to obtain	3
regard to jurisdictional	3
influence on the	3
they are able	3
our training dataset	3
results showed that	3
after the pandemic	3
of internet search	3
data were not	3
of the digital	3
detection of epidemics	3
american academy of	3
traffic to specialised	3
temporal and spatial	3
this study for	3
evidence of informal	3
and for all	3
sources such as	3
the mode of	3
correlation between received	3
number of tweets	3
and institutional affiliations	3