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 |
---|---|
mental health | 267 |
exponential growth | 112 |
ffi ffi | 111 |
public authorities | 87 |
italian regions | 86 |
general population | 76 |
reproduction number | 73 |
infected cases | 72 |
growth rate | 71 |
italian population | 71 |
psychological distress | 70 |
depressive symptoms | 61 |
social media | 60 |
perceived stress | 54 |
italian government | 51 |
environmental temperature | 51 |
public health | 51 |
psychological impact | 50 |
health care | 48 |
author funder | 47 |
granted medrxiv | 47 |
present study | 47 |
novel coronavirus | 47 |
coronavirus disease | 46 |
social distancing | 46 |
institutional trust | 44 |
local authorities | 43 |
per cent | 42 |
statistically significant | 42 |
copyright holder | 42 |
national lockdown | 41 |
march th | 40 |
containment measures | 40 |
exponential rate | 40 |
version posted | 40 |
cord uid | 39 |
respiratory syndrome | 39 |
doc id | 39 |
risk factors | 38 |
negative correlation | 37 |
acute respiratory | 36 |
higher levels | 36 |
risk assessment | 35 |
northern italy | 34 |
net reproduction | 34 |
intensive care | 33 |
statistical confidence | 32 |
severe acute | 32 |
positive cases | 32 |
verified users | 31 |
sample points | 30 |
different levels | 30 |
euro area | 29 |
seir model | 28 |
high levels | 28 |
italian version | 27 |
peer review | 27 |
health system | 27 |
healthcare system | 27 |
made available | 27 |
lockdown measures | 26 |
precautionary principle | 25 |
international license | 25 |
sovereign debt | 25 |
public institutions | 25 |
administrative strategy | 25 |
validated network | 25 |
posted may | 24 |
risk regulation | 24 |
institutional actors | 24 |
low bmd | 24 |
mental disorders | 23 |
emotional profiles | 23 |
traumatic stress | 23 |
significant differences | 23 |
economic activities | 23 |
previous studies | 23 |
italian provinces | 23 |
administrative powers | 23 |
stress symptoms | 23 |
young adults | 23 |
total number | 22 |
risk perception | 22 |
right wing | 22 |
online survey | 22 |
fatality rate | 22 |
statistical analysis | 22 |
anxiety symptoms | 22 |
informed consent | 22 |
data collection | 22 |
administrative measures | 22 |
emotional profile | 22 |
regression model | 21 |
emergency risk | 21 |
social isolation | 21 |
health problems | 21 |
suicidal ideation | 21 |
law bonds | 21 |
social discourse | 20 |
without permission | 20 |
allowed without | 20 |
emotional profiling | 20 |
social networks | 20 |
reuse allowed | 20 |
may th | 20 |
infectious disease | 20 |
case fatality | 20 |
negative feelings | 19 |
label propagation | 19 |
new cases | 19 |
health risk | 19 |
human mobility | 19 |
coping strategies | 19 |
italian citizens | 19 |
independent variables | 19 |
social activities | 19 |
rights reserved | 18 |
making process | 18 |
authors declare | 18 |
growth rates | 18 |
actors involved | 18 |
sleep quality | 18 |
emotional stability | 18 |
euro cacs | 18 |
northern regions | 18 |
regression analysis | 18 |
digital media | 18 |
european countries | 18 |
air pollution | 17 |
information sources | 17 |
high number | 17 |
total score | 17 |
health outcomes | 17 |
i will | 17 |
national level | 17 |
united states | 17 |
health status | 17 |
italian public | 17 |
cases per | 17 |
first digit | 17 |
lower levels | 17 |
data analysis | 17 |
growth phase | 17 |
likert scale | 16 |
infected patients | 16 |
value chains | 16 |
th march | 16 |
propensity score | 16 |
physical distancing | 16 |
worth noting | 16 |
digit distribution | 16 |
mortality rate | 16 |
bipartite network | 16 |
care system | 16 |
psychological responses | 16 |
time series | 16 |
sectional study | 16 |
avian influenza | 16 |
state anxiety | 16 |
higher risk | 15 |
infected people | 15 |
sample size | 15 |
political parties | 15 |
creative commons | 15 |
stochastic approach | 15 |
critical temperature | 15 |
world health | 15 |
prime minister | 15 |
bonded debt | 15 |
debt restructuring | 15 |
see table | 15 |
flow diversity | 15 |
toward public | 15 |
incremental approach | 15 |
health services | 15 |
air pollutants | 15 |
associated factors | 15 |
social support | 15 |
occurrence networks | 15 |
medrxiv preprint | 15 |
deterministic approach | 14 |
positive feelings | 14 |
immediate psychological | 14 |
approximating function | 14 |
reduced chi | 14 |
affected regions | 14 |
four days | 14 |
fake news | 14 |
different regions | 14 |
sociodemographic variables | 14 |
southern italy | 14 |
poultry companies | 14 |
early stages | 14 |
health professionals | 14 |
south korea | 14 |
null model | 14 |
regression analyses | 14 |
legal system | 14 |
care units | 14 |
generation time | 14 |
health organization | 14 |
psychological well | 14 |
machine learning | 14 |
emergency measures | 14 |
italian national | 14 |
per million | 14 |
italian data | 14 |
perceived seriousness | 14 |
infectious diseases | 14 |
distancing measures | 14 |
motivated reasoning | 14 |
risk factor | 14 |
european union | 13 |
southern regions | 13 |
italian general | 13 |
gender differences | 13 |
first weeks | 13 |
italian fcv | 13 |
positive correlation | 13 |
closeness centrality | 13 |
stress disorder | 13 |
media use | 13 |
activation energy | 13 |
psychological effects | 13 |
linear fitting | 13 |
deterministic modeling | 13 |
restrictive measures | 13 |
mean age | 13 |
early stage | 13 |
significant difference | 13 |
dashed lines | 13 |
industrial policy | 13 |
healthcare professionals | 13 |
family members | 13 |
italia viva | 13 |
section iii | 13 |
final nrmse | 13 |
area sovereign | 13 |
february th | 13 |
syndrome coronavirus | 13 |
among italian | 13 |
systematic review | 13 |
supplementary material | 13 |
mobile phone | 13 |
red zone | 13 |
public safety | 12 |
po valley | 12 |
confirmed cases | 12 |
may affect | 12 |
nationwide lockdown | 12 |
significantly different | 12 |
posted april | 12 |
higher scores | 12 |
quarantine guidelines | 12 |
non reputable | 12 |
effect size | 12 |
particulate matter | 12 |
descriptive statistics | 12 |
cases infected | 12 |
national government | 12 |
steel blue | 12 |
supplementary materials | 12 |
distress among | 12 |
statistical model | 12 |
population density | 12 |
mortality rates | 12 |
spike protein | 12 |
word networks | 12 |
brain tissues | 12 |
recent studies | 12 |
government measures | 12 |
benford distribution | 12 |
italian situation | 12 |
early phase | 12 |
linear regression | 12 |
global value | 12 |
health emergency | 12 |
italian cohort | 11 |
infectious bronchitis | 11 |
trait anxiety | 11 |
table shows | 11 |
marital status | 11 |
italian cfr | 11 |
april th | 11 |
mineral density | 11 |
regulatory powers | 11 |
discourse around | 11 |
female migrants | 11 |
statistical analyses | 11 |
health authorities | 11 |
null hypothesis | 11 |
official accounts | 11 |
bone mineral | 11 |
emergency management | 11 |
twitter users | 11 |
factors associated | 11 |
hashtag networks | 11 |
related containment | 11 |
rapid review | 11 |
protective factor | 11 |
confirmed sars | 11 |
incubation period | 11 |
high risk | 11 |
high perceived | 11 |
atmospheric factors | 11 |
years old | 11 |
sars outbreak | 11 |
high level | 11 |
odds ratio | 11 |
low levels | 11 |
statistical significance | 11 |
unverified users | 11 |
see section | 10 |
berger hill | 10 |
much higher | 10 |
mobility reduction | 10 |
scientific expertise | 10 |
internal consistency | 10 |
performed using | 10 |
decelerated growth | 10 |
symptom onset | 10 |
externalizing problems | 10 |
circumplex model | 10 |
epidemic escalation | 10 |
italian lockdown | 10 |
wing parties | 10 |
trust toward | 10 |
italian people | 10 |
regression models | 10 |
mood disorder | 10 |
current pandemic | 10 |
veneto region | 10 |
ace expression | 10 |
public debt | 10 |
wide range | 10 |
initial stage | 10 |
severe psychological | 10 |
logistic regression | 10 |
nationwide survey | 10 |
retweet network | 10 |
dependent variable | 10 |
study protocol | 10 |
data points | 10 |
vast majority | 10 |
genetic variability | 10 |
stressful events | 10 |
random expectation | 10 |
th april | 10 |
healthcare workers | 10 |
bronchitis virus | 10 |
effective sharing | 10 |
spread curve | 10 |
regional level | 10 |
emotional responses | 10 |
central government | 10 |
supply chains | 10 |
virus spread | 10 |
short version | 10 |
significantly lower | 10 |
com scientificreports | 10 |
extend maturities | 9 |
negative psychological | 9 |
chinese population | 9 |
european authorities | 9 |
dispersal velocity | 9 |
young people | 9 |
emergency powers | 9 |
national institute | 9 |
grey curve | 9 |
depression anxiety | 9 |
global mental | 9 |
large sample | 9 |
word co | 9 |
personal protective | 9 |
syndromic scales | 9 |
data used | 9 |
fixed effect | 9 |
th may | 9 |
approximate model | 9 |
written informed | 9 |
negative activation | 9 |
health policy | 9 |
directed validated | 9 |
significant predictors | 9 |
anxiety disorders | 9 |
around sciacalli | 9 |
standard deviation | 9 |
ugo panizza | 9 |
positive patients | 9 |
extremely severe | 9 |
policy interventions | 9 |
italian ministry | 9 |
nan doi | 9 |
italian region | 9 |
control measures | 9 |
psychopathological symptomatology | 9 |
red zones | 9 |
first week | 9 |
new york | 9 |
distance entropy | 9 |
western country | 9 |
confidence intervals | 9 |
results suggest | 9 |
environmental variables | 9 |
traumatic growth | 9 |
somatic complaints | 9 |
growth curve | 9 |
production networks | 9 |
existing mental | 9 |
medical staff | 9 |
italian province | 9 |
psychological consequences | 9 |
new restrictions | 9 |
posttraumatic stress | 9 |
general public | 9 |
point likert | 9 |
worldwide populations | 9 |
anxiety stress | 9 |
psychological outcomes | 9 |
italian patients | 9 |
viral transmissibility | 9 |
health consequences | 9 |
best approximate | 9 |
evolution curve | 9 |
frequency distribution | 8 |
power sharing | 8 |
stress scales | 8 |
stricter measures | 8 |
negatively correlated | 8 |
mean number | 8 |
home confinement | 8 |
political debate | 8 |
symptoms compared | 8 |
italian law | 8 |
quarantine group | 8 |
psychiatric symptoms | 8 |
italian cities | 8 |
high statistical | 8 |
epidemic among | 8 |
inverse temperature | 8 |
debt stock | 8 |
given emotion | 8 |
one hand | 8 |
data provided | 8 |
multiple regression | 8 |
statistical computing | 8 |
evaluated using | 8 |
demographic variables | 8 |
older people | 8 |
superiore di | 8 |
ethics committee | 8 |
qx genotype | 8 |
first western | 8 |
sky blue | 8 |
negative effects | 8 |
time intervals | 8 |
time period | 8 |
hiv positive | 8 |
classical seir | 8 |
university students | 8 |
psychometric properties | 8 |
graph distance | 8 |
significant effect | 8 |
stress scale | 8 |
big five | 8 |
commons attribution | 8 |
italian legal | 8 |
several studies | 8 |
health interventions | 8 |
low perceived | 8 |
also performed | 8 |
infected individuals | 8 |
transmission dynamics | 8 |
daily number | 8 |
staff group | 8 |
protective equipment | 8 |
probable scenarios | 8 |
italian adolescents | 8 |
echo chambers | 8 |
structured coalescent | 8 |
civil protection | 8 |
verified user | 8 |
regional variation | 8 |
mig group | 8 |
oncological risk | 8 |
constitutional scenario | 8 |
statistical power | 8 |
sectional survey | 8 |
environmental temperatures | 8 |
health burden | 8 |
correlation analysis | 8 |
best solution | 8 |
psychological traits | 8 |
region movements | 8 |
perceived health | 8 |
us regions | 8 |
health plan | 8 |
section iv | 8 |
influenza virus | 8 |
see methods | 8 |
future research | 8 |
generalized seir | 8 |
sars epidemic | 8 |
personality traits | 8 |
precautionary measures | 8 |
age range | 8 |
average number | 8 |
current situation | 8 |
average environmental | 8 |
italian policies | 8 |
sharing administrative | 8 |
point scale | 8 |
online platform | 8 |
allele frequency | 8 |
internal locus | 8 |
related symptoms | 8 |
istituto superiore | 8 |
property rights | 8 |
severely affected | 8 |
hiv infection | 8 |
across different | 8 |
italian debt | 8 |
global economy | 8 |
stress levels | 7 |
measures adopted | 7 |
mean square | 7 |
eu law | 7 |
death rate | 7 |
preventive measures | 7 |
wing community | 7 |
phone data | 7 |
genetic variants | 7 |
younger people | 7 |
pandemic health | 7 |
local level | 7 |
extremely high | 7 |
significant positive | 7 |
basic reproduction | 7 |
lombardy region | 7 |
family member | 7 |
contact tracing | 7 |
regulatory acts | 7 |
pandemic will | 7 |
non trivial | 7 |
two months | 7 |
age groups | 7 |
even though | 7 |
data fitting | 7 |
testing strategy | 7 |
italy date | 7 |
high values | 7 |
reproduction numbers | 7 |
general italian | 7 |
one month | 7 |
age group | 7 |
data set | 7 |
million people | 7 |
principal amount | 7 |
linear statistical | 7 |
educational level | 7 |
people living | 7 |
loved ones | 7 |
almost always | 7 |
affected countries | 7 |
italian constitution | 7 |
billion euro | 7 |
mobility flows | 7 |
news sources | 7 |
linear model | 7 |
official data | 7 |
crucial role | 7 |
white indicates | 7 |
middle east | 7 |
emilia romagna | 7 |
large number | 7 |
coronavirus outbreak | 7 |
death cases | 7 |
campania region | 7 |
longitudinal study | 7 |
south italy | 7 |
original author | 7 |
lockdown period | 7 |
hashtags co | 7 |
measures taken | 7 |
older patients | 7 |
bone loss | 7 |
attachment style | 7 |
italian normative | 7 |
deep learning | 7 |
employment status | 7 |
starting point | 7 |
public places | 7 |
quarantine period | 7 |
significantly higher | 7 |
term consequences | 7 |
value chain | 7 |
target time | 7 |
time window | 7 |
previously reported | 7 |
legislative decree | 7 |
acute stress | 7 |
economic crisis | 7 |
statistical models | 7 |
variant allele | 7 |
degree sequence | 7 |
event scale | 7 |
care workers | 7 |
commons license | 7 |
psychological research | 7 |
mental disorder | 7 |
psychological outcome | 7 |
psychopathological burden | 7 |
female gender | 7 |
italian healthcare | 7 |
perceived susceptibility | 7 |
weighted mean | 7 |
italian health | 7 |
fitting parameters | 7 |
holdout creditors | 7 |
political sub | 7 |
probably due | 7 |
first step | 7 |
italian administrative | 7 |
protezione civile | 7 |
will include | 7 |
physical health | 7 |
time spent | 7 |
see also | 7 |
lumbar spine | 7 |
demographic characteristics | 7 |
significant negative | 7 |
daily infected | 7 |
european commission | 7 |
depression scale | 7 |
specific phobia | 7 |
two types | 7 |
entire country | 7 |
eeg equipment | 7 |
one week | 7 |
secondary infections | 7 |
statistically significantly | 7 |
structural equation | 7 |
quarantined people | 7 |
lockdown policies | 7 |
bipartite directed | 7 |
emotional contagion | 7 |
observed data | 7 |
positively correlated | 7 |
east respiratory | 7 |
partial restarting | 7 |
less likely | 7 |
level likert | 7 |
root mean | 7 |
geographical area | 7 |
social sciences | 7 |
coping styles | 7 |
epidemic growth | 7 |
model fit | 7 |
findings suggest | 7 |
mitu gulati | 7 |
statistically confident | 7 |
mental well | 7 |
intermediate goods | 7 |
blue community | 7 |
integrated poultry | 7 |
healthcare staff | 7 |
mobility diversity | 7 |
two main | 7 |
particle swarm | 7 |
psychic anxiety | 7 |
mood disorders | 7 |
new coronavirus | 7 |
human participants | 7 |
italian constitutional | 7 |
spatial autocorrelation | 7 |
real network | 7 |
ace variants | 6 |
linear fits | 6 |
difference equations | 6 |
affected areas | 6 |
italian young | 6 |
cognitive science | 6 |
severe mental | 6 |
territorial areas | 6 |
component influenced | 6 |
blue subcommunity | 6 |
stressful situations | 6 |
geographic area | 6 |
regional health | 6 |
rate relationship | 6 |
behavioral sciences | 6 |
education level | 6 |
initial number | 6 |
new infected | 6 |
pharmaceutical interventions | 6 |
lymph nodes | 6 |
recent study | 6 |
serial interval | 6 |
complex emotional | 6 |
stay home | 6 |
behavioural adaptations | 6 |
femoral bmd | 6 |
best model | 6 |
swarm optimization | 6 |
may contribute | 6 |
model prediction | 6 |
severe cases | 6 |
environmental factors | 6 |
linear correlation | 6 |
negative feedback | 6 |
three groups | 6 |
atmospheric conditions | 6 |
converting enzyme | 6 |
respondents reported | 6 |
perceived social | 6 |
bonds issued | 6 |
higher closeness | 6 |
factors affecting | 6 |
physical characteristics | 6 |
lumbar site | 6 |
unilaterally extend | 6 |
backward participation | 6 |
personal discomfort | 6 |
splice site | 6 |
measures implemented | 6 |
fgs regions | 6 |
positive negative | 6 |
wake time | 6 |
control regime | 6 |
community detection | 6 |
control interventions | 6 |
short form | 6 |
covid covid | 6 |
infected regions | 6 |
many countries | 6 |
local law | 6 |
data series | 6 |
viral population | 6 |
san antonio | 6 |
class imbalance | 6 |
configuration model | 6 |
physical activity | 6 |
north italy | 6 |
based null | 6 |
one primary | 6 |
confirmation rate | 6 |
examined region | 6 |
first case | 6 |
primary infector | 6 |
substitution power | 6 |
key legal | 6 |
incidence data | 6 |
human behavioural | 6 |
slightly higher | 6 |
studies carried | 6 |
constitutional separation | 6 |
mean value | 6 |
confidence interval | 6 |
quarantined cases | 6 |
previous section | 6 |
early march | 6 |
flow diversities | 6 |
global production | 6 |
getting covid | 6 |
subcommunity contains | 6 |
ethical review | 6 |
possible solutions | 6 |
asn asp | 6 |
mental illness | 6 |
unemployment rate | 6 |
psychosocial consequences | 6 |
confirmed covid | 6 |
italian prime | 6 |
results obtained | 6 |
densely populated | 6 |
results show | 6 |
severity index | 6 |
second half | 6 |
psychological experiences | 6 |
sleep habits | 6 |
affective temperament | 6 |
closely related | 6 |
significant role | 6 |
test set | 6 |
right panel | 6 |
factor analysis | 6 |
developing depressive | 6 |
loyal cooperation | 6 |
psychopathological symptoms | 6 |
direct contact | 6 |
stable psychological | 6 |
social desirability | 6 |
least one | 6 |
epidemiological data | 6 |
distrust toward | 6 |
eqtl variants | 6 |
sleep disturbances | 6 |
severe symptoms | 6 |
epidemic curve | 6 |
psychological health | 6 |
significant impact | 6 |
solid line | 6 |
administrative regulatory | 6 |
dark orange | 6 |
domestic violence | 6 |
emotional states | 6 |
table reports | 6 |
ptsd symptomatology | 6 |
cubic curve | 6 |
derived slopes | 6 |
ghost deme | 6 |
new infections | 6 |
cd values | 6 |
health emergencies | 6 |
maximum likelihood | 6 |
significant correlation | 6 |
review board | 6 |
treatment strategies | 6 |
health workers | 6 |
infections generated | 6 |
important role | 6 |
posterior distribution | 6 |
million euro | 6 |
regional infected | 6 |
will spread | 6 |
population size | 6 |
null flow | 6 |
urban areas | 6 |
randomized controlled | 6 |
studies conducted | 6 |
individual differences | 6 |
exponential rates | 6 |
undirected version | 6 |
psychological adjustment | 6 |
learning models | 6 |
national pandemic | 6 |
essential economic | 6 |
took place | 6 |
sleep disturbance | 6 |
aggressive behavior | 6 |
interestingly enough | 6 |
items rated | 6 |
cumulative data | 6 |
scientific societies | 6 |
female participants | 6 |
law advantage | 6 |
shannon entropy | 6 |
healthcare systems | 6 |
breaking behavior | 6 |
comparative susceptibility | 6 |
personal strengths | 6 |
central italy | 6 |
snowball sampling | 6 |
available data | 6 |
higher level | 6 |
six months | 6 |
sovereign bonds | 6 |
two companies | 6 |
ftse mib | 6 |
open access | 6 |
scale ranging | 6 |
respiratory distress | 6 |
raw data | 6 |
correct risk | 6 |
financial crisis | 5 |
research received | 5 |
younger age | 5 |
behavioral guidelines | 5 |
medical teams | 5 |
among chinese | 5 |
psychological status | 5 |
negative variation | 5 |
official information | 5 |
daily basis | 5 |
province region | 5 |
occupational status | 5 |
vertical dashed | 5 |
online social | 5 |
representative sample | 5 |
study carried | 5 |
ethical standards | 5 |
false news | 5 |
technological interventions | 5 |
necessarily coincide | 5 |
traumatic symptoms | 5 |
optimal fitting | 5 |
main text | 5 |
confident relationship | 5 |
infection rate | 5 |
participants lived | 5 |
validation study | 5 |
quarantine experience | 5 |
mass media | 5 |
population dynamics | 5 |
recent review | 5 |
quality index | 5 |
susceptible category | 5 |
adopted measures | 5 |
anxious depressed | 5 |
layer co | 5 |
main factors | 5 |
resilience scale | 5 |
needle aspiration | 5 |
affect ace | 5 |
subjective experience | 5 |
three days | 5 |
health policies | 5 |
phase one | 5 |
significantly associated | 5 |
intervention strategies | 5 |
proposed measures | 5 |
january th | 5 |
psychological symptoms | 5 |
scientificreports www | 5 |
black dots | 5 |
high rate | 5 |
variants located | 5 |
economic consequences | 5 |
world economy | 5 |
mobility data | 5 |
cognitive model | 5 |
populated poultry | 5 |
data will | 5 |
asian populations | 5 |
psychological variables | 5 |
multiple comparisons | 5 |
poultry density | 5 |
biosecurity measures | 5 |
individuals may | 5 |
blue curve | 5 |
differences among | 5 |
highest number | 5 |
george livadiotis | 5 |
symptom severity | 5 |
comorbid psychiatric | 5 |
mortality ratio | 5 |
scientific data | 5 |
will give | 5 |
related quality | 5 |
online users | 5 |
given day | 5 |
mainly composed | 5 |
ethical committee | 5 |
previously discussed | 5 |
reputable sources | 5 |
health crisis | 5 |
gender effects | 5 |
scatter plot | 5 |
previous week | 5 |
legal issues | 5 |
overall trust | 5 |
data regarding | 5 |
sleep pattern | 5 |
virus infection | 5 |
high densely | 5 |
long term | 5 |
administrative regulation | 5 |
initial phase | 5 |
inclusion criteria | 5 |
immunodeficiency virus | 5 |
area indicates | 5 |
clinical characteristics | 5 |
italian treasury | 5 |
cumulative curve | 5 |
collect data | 5 |
protein structure | 5 |
predicted peak | 5 |
network science | 5 |
surveillance data | 5 |
dark red | 5 |
reputable news | 5 |
public opinion | 5 |
probable solutions | 5 |
prescriptive measures | 5 |
effective measures | 5 |
high prevalence | 5 |
unique sequence | 5 |
nrc lexicon | 5 |
substance use | 5 |
lines indicate | 5 |
based cross | 5 |
may indicate | 5 |
public interest | 5 |
collective action | 5 |
euro cac | 5 |
public trust | 5 |
total infected | 5 |
economic repercussions | 5 |
amino acid | 5 |
uncertain patients | 5 |
violet red | 5 |
allowed us | 5 |
negative valence | 5 |
financial concerns | 5 |
industrial production | 5 |
forma mentis | 5 |
natural disasters | 5 |
instant messaging | 5 |
valley area | 5 |
exit strategy | 5 |
italy page | 5 |
second wave | 5 |
may increase | 5 |
hashtag network | 5 |
financial relationships | 5 |
action clauses | 5 |
poultry area | 5 |
political situation | 5 |
main areas | 5 |
potential conflict | 5 |
protective factors | 5 |
fine needle | 5 |
deaths per | 5 |
rare variants | 5 |
second week | 5 |
italian local | 5 |
taken together | 5 |
femoral neck | 5 |
reported moderate | 5 |
attitudes toward | 5 |
theresa arnold | 5 |
week april | 5 |
different contexts | 5 |
mild psychological | 5 |
disease outbreak | 5 |
ace receptor | 5 |
psychiatric patients | 5 |
scientific evidence | 5 |
real epidemic | 5 |
health group | 5 |
validated projection | 5 |
economic impact | 5 |
current system | 5 |
appropriate interventions | 5 |
sample consisted | 5 |
behavioral addictions | 5 |
greek restructuring | 5 |
preliminary results | 5 |
disease transmissibility | 5 |
cities gof | 5 |
national health | 5 |
stress disorders | 5 |
pap smears | 5 |
clinical variability | 5 |
different environmental | 5 |
bipartite networks | 5 |
controlled trials | 5 |
model selection | 5 |
main italian | 5 |
methodological choice | 5 |
debt restructurings | 5 |
supply chain | 5 |
equation modeling | 5 |
nationally representative | 5 |
i feel | 5 |
sample reported | 5 |
icu beds | 5 |
different political | 5 |
since march | 5 |
article distributed | 5 |
disease progression | 5 |
hashtag co | 5 |
linear fit | 5 |
first days | 5 |
hospital anxiety | 5 |
identified variants | 5 |
dual diagnosis | 5 |
among different | 5 |
cognitive network | 5 |
mathematical model | 5 |
psychological response | 5 |
data show | 5 |
risk perceptions | 5 |
based approach | 5 |
outcome variable | 5 |
female italians | 5 |
infection control | 5 |
data collected | 5 |
ethical approval | 5 |
protocol number | 5 |
accurate risk | 5 |
prevention measures | 5 |
two regions | 5 |
one way | 5 |
differential equations | 5 |
government imposed | 5 |
mentis networks | 5 |
infected person | 5 |
left wing | 5 |
human immunodeficiency | 5 |
atmospheric pollution | 5 |
emergency response | 5 |
correlation coefficient | 5 |
access article | 5 |
school closures | 5 |
student status | 5 |
sharp contrast | 5 |
older adults | 5 |
ace gene | 5 |
mean values | 5 |
verified twitter | 5 |
available online | 5 |
many patients | 5 |
epidemic data | 5 |
trust boom | 5 |
results clearly | 5 |
protein stability | 5 |
solutions within | 5 |
neural network | 5 |
clinical indications | 5 |
health trial | 5 |
neutrality range | 5 |
risk related | 5 |
missense variants | 5 |
severe levels | 5 |
non verified | 5 |
main problems | 5 |
preliminary analyses | 5 |
also found | 5 |
also used | 5 |
shaded area | 5 |
european law | 5 |
potential impact | 5 |
will likely | 5 |
calculated using | 5 |
good fit | 5 |
participants provided | 5 |
multiple testing | 5 |
complex networks | 5 |
care services | 5 |
bonds without | 5 |
male italians | 5 |
composite reliability | 5 |
sharing powers | 5 |
lower panels | 5 |
quarantine measures | 5 |
data reported | 5 |
disorder patients | 5 |
epidemic threshold | 5 |
moral hazard | 5 |
psychological burden | 5 |
standardized mortality | 5 |
intervention will | 5 |
hospital admission | 5 |
people affected | 5 |
alto adige | 5 |
whole sample | 5 |
pso approach | 5 |
participants completed | 5 |
clinical severity | 5 |
conceptual framework | 5 |
perceived risk | 5 |
based surveillance | 5 |
ibv spreading | 5 |
highly pathogenic | 5 |
examination may | 4 |
political communities | 4 |
onset february | 4 |
european population | 4 |
temperatures averaged | 4 |
federico ii | 4 |
air quality | 4 |
italian authorities | 4 |
excess mortality | 4 |
averaged within | 4 |
slope may | 4 |
growth inventory | 4 |
public healthcare | 4 |
confirmatory factor | 4 |
md simulations | 4 |
global pandemic | 4 |
fixed effects | 4 |
square value | 4 |
depression inventory | 4 |
sars control | 4 |
moving average | 4 |
share administrative | 4 |
significant percentage | 4 |
i believe | 4 |
compulsive inventory | 4 |
area sovereigns | 4 |
unverified accounts | 4 |
participants living | 4 |
academic practice | 4 |
protein function | 4 |
migrant females | 4 |
emergency administrative | 4 |
negative affect | 4 |
example item | 4 |
possible risk | 4 |
order polynomial | 4 |
model vs | 4 |
reported compliance | 4 |
larger values | 4 |
seed labels | 4 |
distress syndrome | 4 |
molecular clock | 4 |
npt staff | 4 |
clinical course | 4 |
left panel | 4 |
taking advantage | 4 |
member working | 4 |
temperature averaged | 4 |
emergency decision | 4 |
infections per | 4 |
factors influencing | 4 |
slate blue | 4 |
analysis showed | 4 |
italian adults | 4 |
spread throughout | 4 |
infected pneumonia | 4 |
raw sample | 4 |
initial cases | 4 |
posttraumatic growth | 4 |
multiple brain | 4 |
attribution license | 4 |
measures issued | 4 |
missense variant | 4 |
cultural context | 4 |
confidence limit | 4 |
chemical reaction | 4 |
italian sample | 4 |
possible heterogeneities | 4 |
health behaviors | 4 |
front psychol | 4 |
low values | 4 |
depressive temperaments | 4 |
linear relationship | 4 |
power analysis | 4 |
used hashtags | 4 |
winter temperature | 4 |
global health | 4 |
care unit | 4 |
multiple imputation | 4 |
ebola outbreak | 4 |
syntactic dependencies | 4 |
studies investigating | 4 |
variance related | 4 |
main results | 4 |
heavily infected | 4 |
discovery rate | 4 |
high oncological | 4 |
perceived comparative | 4 |
trust public | 4 |
ace genetic | 4 |
th february | 4 |
recovered cases | 4 |
copyright owner | 4 |
health service | 4 |
threshold value | 4 |
specific mortality | 4 |
rapid spread | 4 |
recent literature | 4 |
ospedaliera universitaria | 4 |
marche region | 4 |
real time | 4 |
daily life | 4 |
completely different | 4 |
chinese people | 4 |
atmospheric variables | 4 |
symptomatic cases | 4 |
studies showed | 4 |
statistical method | 4 |
dependent reproduction | 4 |
small amount | 4 |
luigi vanvitelli | 4 |
migration rate | 4 |
measures will | 4 |
scenarios predicted | 4 |
harmonized track | 4 |
azienda ospedaliera | 4 |
respiratory tract | 4 |
emerging infectious | 4 |
cycle paths | 4 |
insomnia severity | 4 |
factor model | 4 |
internalizing problems | 4 |
multivariate regression | 4 |
fitting results | 4 |
valence arousal | 4 |
controls compared | 4 |
quantity involved | 4 |
withholding tax | 4 |
final sample | 4 |
social systems | 4 |
united kingdom | 4 |
airborne transmission | 4 |
models suggested | 4 |
extracellular portion | 4 |
video calls | 4 |
first hospital | 4 |
health among | 4 |
random intercept | 4 |
acceptable confidence | 4 |
decay phase | 4 |
psychol doi | 4 |
emotional intensity | 4 |
exonic splicing | 4 |
virus disease | 4 |
time dependent | 4 |
east asia | 4 |
assessment instruments | 4 |
daily new | 4 |
higher among | 4 |
based survey | 4 |
six parameters | 4 |
disease outbreaks | 4 |
powers plays | 4 |
policy recommendations | 4 |
italian poultry | 4 |
measures impact | 4 |
quadratic model | 4 |
geographical areas | 4 |
first phase | 4 |
ibv epidemiology | 4 |
school attendance | 4 |
european industrial | 4 |
summer will | 4 |
significant increase | 4 |
health needs | 4 |
equals zero | 4 |
average temperature | 4 |
regional governments | 4 |
relatively low | 4 |
standard eeg | 4 |
combined measure | 4 |
rmsd value | 4 |
related mortality | 4 |
confirmed positive | 4 |
longitudinal panel | 4 |
stress responses | 4 |
health conditions | 4 |
focal hashtags | 4 |
home care | 4 |
higher mortality | 4 |
contact rate | 4 |
viral load | 4 |
vice versa | 4 |
risk management | 4 |
synonymous variant | 4 |
neurological complications | 4 |
constitutional system | 4 |
also confirmed | 4 |
hiv patients | 4 |
cities sequence | 4 |
member states | 4 |
social network | 4 |
cytological examination | 4 |
first time | 4 |
quarantine zone | 4 |
living alone | 4 |
logistic curve | 4 |
first quarter | 4 |
sociodemographic factors | 4 |
independent samples | 4 |
among health | 4 |
care intensity | 4 |
word cloud | 4 |
emotional impact | 4 |
online questionnaire | 4 |
real world | 4 |
emergency room | 4 |
detrimental effects | 4 |
ill patients | 4 |
italian cumulative | 4 |
following covid | 4 |
asked participants | 4 |
biological delay | 4 |
great recession | 4 |
generalized anxiety | 4 |
symptoms among | 4 |
pandemic situation | 4 |
universal compliance | 4 |
rapidly spread | 4 |
health measures | 4 |
effectively implementing | 4 |
hong kong | 4 |
coronavirus pneumonia | 4 |
one year | 4 |
whole growth | 4 |
may help | 4 |
study showed | 4 |
single people | 4 |
may also | 4 |
results showed | 4 |
take care | 4 |
anxiety depression | 4 |
changes substantially | 4 |
across regions | 4 |
us say | 4 |
five items | 4 |
social psychology | 4 |
references therein | 4 |
neurophysiology technologists | 4 |
average age | 4 |
may suggest | 4 |
early treatment | 4 |
scores indicate | 4 |
projection procedure | 4 |
factors like | 4 |
different categories | 4 |
effect sizes | 4 |
inverse probability | 4 |
heterogeneities within | 4 |
previous literature | 4 |
disease spread | 4 |
fitting model | 4 |
daily reported | 4 |
item scale | 4 |
working group | 4 |
community mobility | 4 |
restriction measures | 4 |
picture changes | 4 |
sufficient number | 4 |
values represent | 4 |
highest level | 4 |
seir modeling | 4 |
democratic party | 4 |
mechanical ventilation | 4 |
study also | 4 |
social consensus | 4 |
italy data | 4 |
national territory | 4 |
college students | 4 |
maslach burnout | 4 |
data include | 4 |
tv programs | 4 |
giving rise | 4 |
physical properties | 4 |
severity levels | 4 |
previous work | 4 |
media users | 4 |
statistical tests | 4 |
previous model | 4 |
effective reproduction | 4 |
will see | 4 |
homogenized datasets | 4 |
older persons | 4 |
ad hoc | 4 |
management system | 4 |
strict lockdown | 4 |
italian twitter | 4 |
main strategy | 4 |
function defined | 4 |
automotive industry | 4 |
hospital admissions | 4 |
stage two | 4 |
viral outbreak | 4 |
italian case | 4 |
campania luigi | 4 |
dispositional traits | 4 |
geographical region | 4 |
feedback i | 4 |
life events | 4 |
italian versions | 4 |
progressively harmonized | 4 |
health problem | 4 |
information regarding | 4 |
false discovery | 4 |
italian samples | 4 |
daily routines | 4 |
possible explanation | 4 |
straight line | 4 |
economic recession | 4 |
neurological symptoms | 4 |
examine whether | 4 |
i argue | 4 |
normal conditions | 4 |
shot cac | 4 |
different italian | 4 |
secure online | 4 |
intensity group | 4 |
italian firms | 4 |
davidson resilience | 4 |
asymptomatic people | 4 |
various institutional | 4 |
universal quantity | 4 |
causal relationship | 4 |
virus throughout | 4 |
time point | 4 |
words eliciting | 4 |
strict measures | 4 |
information received | 4 |
number represents | 4 |
infected population | 4 |
determine whether | 4 |
total population | 4 |
ineffective sharing | 4 |
people will | 4 |
powers across | 4 |
significant concentrations | 4 |
center left | 4 |
pittsburg sleep | 4 |
da covid | 4 |
psychometric evaluation | 4 |
trust attribution | 4 |
psychological stress | 4 |
traumatic event | 4 |
resident population | 4 |
new positive | 4 |
positive indicators | 4 |
life outcomes | 4 |
six weeks | 4 |
clinical practice | 4 |
feature selection | 4 |
santa lucia | 4 |
four time | 4 |
different policies | 4 |
one side | 4 |
mib index | 4 |
exponential phase | 4 |
among patients | 4 |
burnout inventory | 4 |
exome sequencing | 4 |
without cacs | 4 |
reasons behind | 4 |
high school | 4 |
recent italian | 4 |
two items | 4 |
face masks | 4 |
infected individual | 4 |
clinical data | 4 |
first two | 4 |
will need | 4 |
cura italia | 4 |
two classes | 4 |
van bavel | 4 |
anxiety disorder | 4 |
meet friends | 4 |
average temperatures | 4 |
lower bic | 4 |
institutional requirements | 4 |
likelihood function | 4 |
safely carried | 4 |
less affected | 4 |
benford law | 4 |
female respondents | 4 |
new framework | 4 |
report measures | 4 |
entire sample | 4 |
orange curve | 4 |
layer network | 4 |
saturation rate | 4 |
short period | 4 |
will comply | 4 |
general health | 4 |
worth mentioning | 4 |
susceptible population | 4 |
reported number | 4 |
seven items | 4 |
negative effect | 4 |
certain level | 4 |
normative values | 4 |
pathogenic avian | 4 |
depressive disorder | 4 |
symptoms increased | 4 |
outcome measures | 4 |
scientific knowledge | 4 |
strong form | 4 |
ml models | 4 |
daily time | 4 |
may play | 4 |
lumbar bmd | 4 |
quarantine stressors | 4 |
negative impact | 4 |
poultry farms | 4 |
lockdown phase | 4 |
multidimensional scale | 4 |
among populations | 4 |
original publication | 4 |
lower aicc | 4 |
results also | 4 |
hubei province | 4 |
gly arg | 4 |
possible negative | 4 |
assessment study | 4 |
business activities | 4 |
shared among | 4 |
directed network | 4 |
involving human | 4 |
mathematical models | 4 |
different phases | 4 |
increased risk | 4 |
poultry sector | 4 |
giuseppe conte | 4 |
health strategies | 4 |
vulnerable groups | 4 |
different populations | 4 |
tf days | 4 |
increase decrease | 4 |
debt crisis | 4 |
restructuring options | 4 |
participants will | 4 |
several factors | 4 |
tissue expression | 4 |
hospitalized patients | 4 |
verified accounts | 4 |
clinical features | 4 |
parenthesis indicate | 4 |
political affiliation | 4 |
reported higher | 4 |
different weeks | 4 |
decreased risk | 4 |
established statistical | 4 |
readable exponential | 4 |
different brain | 4 |
binary classifier | 4 |
different areas | 4 |
first day | 4 |
high rates | 4 |
daily disease | 4 |
hiv migrants | 4 |
personal contribution | 4 |
personal sacrifice | 4 |
center right | 4 |
frequently used | 4 |
first cut | 4 |
policy makers | 4 |
lower risk | 4 |
temperature may | 4 |
occurrence network | 4 |
high stress | 4 |
italian covid | 4 |
using social | 4 |
environmental variable | 4 |
group covid | 4 |
shadowing lemma | 4 |
epidemic dynamics | 4 |
policies implemented | 4 |
month later | 4 |
epidemiological trend | 4 |
author contributions | 4 |
hastings mcmc | 4 |
fit method | 4 |
previous subsection | 4 |
preventive programs | 4 |
people may | 4 |
infections begins | 4 |
near future | 4 |
attributes scale | 4 |
external locus | 4 |
significance level | 4 |
task force | 4 |
studies suggest | 4 |
word network | 4 |
evolution spread | 4 |
another important | 4 |
level used | 4 |
stress reactions | 4 |
first country | 4 |
leu val | 4 |
bone mass | 4 |
naples federico | 4 |
major depressive | 4 |
daily average | 4 |
pso solutions | 4 |
urban green | 4 |
progressively increased | 4 |
th june | 4 |
large scale | 4 |
low energy | 4 |
exact test | 4 |
provincial level | 4 |
increased levels | 4 |
negative mental | 4 |
ibv qx | 4 |
information criterion | 4 |
accepted academic | 4 |
arrhenius exponential | 4 |
eeg examinations | 4 |
lesser extent | 4 |
signal processing | 4 |
square test | 4 |
explained variance | 4 |
rs variant | 4 |
treasury data | 4 |
negative emotions | 4 |
average time | 4 |
broadband scales | 4 |
moderate severe | 4 |
linear approximation | 4 |
two layers | 4 |
higher perceived | 4 |
generalized linear | 4 |
appendix shows | 4 |
two curves | 4 |
somatic anxiety | 4 |
public response | 4 |
also due | 4 |
participants reported | 4 |
relevant public | 4 |
della salute | 4 |
coping responses | 4 |
ideation attributes | 4 |
male participants | 3 |
hit regions | 3 |
indicate higher | 3 |
grey vertical | 3 |
motor vehicles | 3 |
stochastic errors | 3 |
specific hashtags | 3 |
around iorestoacasa | 3 |
supportive interventions | 3 |
epidemiological figures | 3 |
reported deaths | 3 |
ranking th | 3 |
currently suffering | 3 |
give appropriate | 3 |
multilevel growth | 3 |
integral part | 3 |
poultry production | 3 |
critically ill | 3 |
dipartimento della | 3 |
study aimed | 3 |
line healthcare | 3 |
two quantities | 3 |
di indirizzo | 3 |
large gof | 3 |
cohabiting people | 3 |
intrusive behavior | 3 |
sampling method | 3 |
university hospital | 3 |
focused mindset | 3 |
public authority | 3 |
drastic reduction | 3 |
bipolar disorder | 3 |
detrimental effect | 3 |
validated assessment | 3 |
neurological specialist | 3 |
limited capacity | 3 |
study period | 3 |
previously selected | 3 |
fundamental rights | 3 |
isolated due | 3 |
coding variants | 3 |
monte carlo | 3 |
traumatic symptomatology | 3 |
learned helplessness | 3 |
target groups | 3 |
number variations | 3 |
main factor | 3 |
cytological sample | 3 |
domestic financial | 3 |
epidemiological characteristics | 3 |
interpersonal violence | 3 |
study results | 3 |
patients group | 3 |
mean score | 3 |
government response | 3 |
matteo renzi | 3 |
people directly | 3 |
protective masks | 3 |
attached individuals | 3 |
minimum nmrse | 3 |
main provisions | 3 |
ozone concentration | 3 |
real italian | 3 |
bonferroni correction | 3 |
crisis might | 3 |
indirectly exposed | 3 |
health systems | 3 |
national guidelines | 3 |
overwhelming majority | 3 |
genetic variation | 3 |
higher prevalence | 3 |
role played | 3 |
based trial | 3 |
response team | 3 |
relevant impact | 3 |
lagging period | 3 |
ucla loneliness | 3 |
low mood | 3 |
regulatory reform | 3 |
convey meaning | 3 |
litigation risk | 3 |
high score | 3 |
decree implemented | 3 |
institutional affiliations | 3 |
posted august | 3 |
digital health | 3 |
severe depression | 3 |
universitaria senese | 3 |
clearly shows | 3 |
insufficient compliance | 3 |
new bonds | 3 |
corso di | 3 |
benford gof | 3 |
main parameters | 3 |
org articles | 3 |
deaths recorded | 3 |
movimento stelle | 3 |
immediate future | 3 |
people infected | 3 |
directed configuration | 3 |
two integrated | 3 |
ace wt | 3 |
job market | 3 |
collected data | 3 |
article will | 3 |
small gof | 3 |
assess psychological | 3 |
substantial contributions | 3 |
probable pso | 3 |
new measures | 3 |
eeg examination | 3 |
indices suggested | 3 |
medical problems | 3 |
wave front | 3 |
medical personnel | 3 |
fact checking | 3 |
epidemic curves | 3 |
users carers | 3 |
health concerns | 3 |
tweets containing | 3 |
secondary cases | 3 |
different approaches | 3 |
positive attitude | 3 |
med doi | 3 |
recent data | 3 |
directed bipartite | 3 |
solid lines | 3 |
pandemic perspective | 3 |
depression scores | 3 |
nodes fnas | 3 |
including italy | 3 |
important aspect | 3 |
human ace | 3 |
italian bureau | 3 |
predicted quarantined | 3 |
epidemic onset | 3 |
primary outcome | 3 |
political decision | 3 |
every day | 3 |
local levels | 3 |
kessler psychological | 3 |
news consumption | 3 |
outgoing flows | 3 |
lucia foundation | 3 |
standardized survey | 3 |
generally speaking | 3 |
gender gap | 3 |
rapidly evolving | 3 |
higher allelic | 3 |
taking steps | 3 |
main points | 3 |
prominent words | 3 |
enable us | 3 |
current italian | 3 |
every year | 3 |
successfully used | 3 |
fourth week | 3 |
quarantine restrictions | 3 |
different susceptibility | 3 |
coping mechanisms | 3 |
vertical bars | 3 |
addicted patients | 3 |
severely impacted | 3 |
another limitation | 3 |
take place | 3 |
hospitalized cases | 3 |
previous results | 3 |
laboratory biosafety | 3 |
value significantly | 3 |
principal substance | 3 |
zero slope | 3 |
one might | 3 |
linear models | 3 |
adult attachment | 3 |
springer nature | 3 |
universality may | 3 |
among young | 3 |
panel design | 3 |
time evolution | 3 |
exclusion criteria | 3 |
internet use | 3 |
essential role | 3 |
metropolitan area | 3 |
gtex database | 3 |
containing urls | 3 |
considered reliable | 3 |
nonstatistically significant | 3 |
maximum counted | 3 |
higher number | 3 |
main transmission | 3 |
covid cases | 3 |
also related | 3 |
vertical lines | 3 |
models developed | 3 |
april according | 3 |
online platforms | 3 |
early intervention | 3 |
patients dying | 3 |
early transmission | 3 |
interindividual clinical | 3 |
national outbreak | 3 |
high price | 3 |
fear towards | 3 |
outcomes among | 3 |
last decade | 3 |
section results | 3 |
effective cooperation | 3 |
sociodemographic characteristics | 3 |
genetic background | 3 |
also showed | 3 |
better understand | 3 |
site regions | 3 |
sars caring | 3 |
metropolitan cities | 3 |
safety procedures | 3 |
viral particles | 3 |
targeting ace | 3 |
pandemic started | 3 |
subsequent analyses | 3 |
results section | 3 |
even stronger | 3 |
adult self | 3 |
daily lives | 3 |
significant proportion | 3 |
values accompanying | 3 |
effective power | 3 |
network density | 3 |
mood scales | 3 |
paucisymptomatic patients | 3 |
authorities involved | 3 |
quarantined category | 3 |
increasing age | 3 |
group vs | 3 |
among sars | 3 |
close contact | 3 |
predictors remained | 3 |
pharmacological treatment | 3 |
accounts related | 3 |
high numbers | 3 |
email invitation | 3 |
higher values | 3 |
healthcare expenditure | 3 |
latent time | 3 |
one another | 3 |
found online | 3 |
basal ganglia | 3 |
income per | 3 |
construct validity | 3 |
useful tool | 3 |
among individuals | 3 |
five personality | 3 |
case status | 3 |
national concern | 3 |
front psychiatry | 3 |
bone health | 3 |
american psychiatric | 3 |
monthly income | 3 |
online political | 3 |
validated retweet | 3 |
strict social | 3 |
san diego | 3 |
small minority | 3 |
measures based | 3 |
temporal profile | 3 |
thyroid fnas | 3 |
might use | 3 |
three years | 3 |
anxiety scale | 3 |
di mauro | 3 |
affected patients | 3 |
functional impact | 3 |
many people | 3 |
see roadmap | 3 |
laboratory testing | 3 |
paranoid ideation | 3 |
medium es | 3 |
false positives | 3 |
found less | 3 |
significant barrier | 3 |
life expectancy | 3 |
national institutions | 3 |
hospitalized population | 3 |
influenza pandemic | 3 |
clock model | 3 |
disease severity | 3 |
will start | 3 |
items referring | 3 |
virion intake | 3 |
first data | 3 |
dead patients | 3 |
assessed using | 3 |
collective effort | 3 |
state scale | 3 |
home quarantine | 3 |
healthcare professional | 3 |
wide set | 3 |
technical experts | 3 |
scores indicating | 3 |
eu eea | 3 |
develop symptoms | 3 |
language used | 3 |
emotional state | 3 |
based feature | 3 |
two different | 3 |
scientific community | 3 |
social relationships | 3 |
like italy | 3 |
group includes | 3 |
rural sector | 3 |
several times | 3 |
social distance | 3 |
probability distribution | 3 |
give reason | 3 |
number estimated | 3 |
maximum number | 3 |
small number | 3 |
upper panels | 3 |
expected cost | 3 |
random forest | 3 |
maintenance treatment | 3 |
data relative | 3 |
cope positive | 3 |
frustration due | 3 |
rigorous studies | 3 |
oxygen therapy | 3 |
fatto quotidiano | 3 |
italian medical | 3 |
major changes | 3 |
five inventory | 3 |
two groups | 3 |
embassies around | 3 |
one order | 3 |
drastic decrease | 3 |
sufficient condition | 3 |
task forces | 3 |
knowledge embedded | 3 |
social networking | 3 |
italian model | 3 |
risk benefit | 3 |
stronger statistical | 3 |
acute phase | 3 |
least partially | 3 |
industrial poultry | 3 |
effective participation | 3 |
ng ml | 3 |
missing data | 3 |
single missense | 3 |
study using | 3 |
death trend | 3 |
italy might | 3 |
becomes greater | 3 |
teate depression | 3 |
psychotherapeutic treatment | 3 |
computed similarly | 3 |
teams aiding | 3 |
control may | 3 |
ptsd symptoms | 3 |
allelic frequency | 3 |
viral dispersal | 3 |
strong signals | 3 |
cognitive dissonance | 3 |
values obtained | 3 |
full supplementary | 3 |
personal relationships | 3 |
preventive interventions | 3 |
mental state | 3 |
average population | 3 |
independent variable | 3 |
two times | 3 |
new outbreak | 3 |
high arousal | 3 |
will make | 3 |
coronavirus pandemic | 3 |
possible explanations | 3 |
item questionnaire | 3 |
section describes | 3 |
least squares | 3 |
violent behaviour | 3 |
psychological disorders | 3 |
population trial | 3 |
interested reader | 3 |
emotion lexicon | 3 |
coefficients estimated | 3 |
spreading among | 3 |
patients infected | 3 |
european level | 3 |
decision making | 3 |
psychiatric morbidity | 3 |
asq confidence | 3 |
opposite direction | 3 |
sources considered | 3 |
extending maturities | 3 |
youth population | 3 |
social interactions | 3 |
outcomes considered | 3 |
will help | 3 |
severity measure | 3 |
person will | 3 |
severe depressive | 3 |
specific emotional | 3 |
counted cases | 3 |
demographic data | 3 |
teaching hospital | 3 |
preliminary analysis | 3 |
three different | 3 |
nodes i | 3 |
virus outbreak | 3 |
global score | 3 |
normal way | 3 |
management strategies | 3 |
significantly correlated | 3 |
results indicate | 3 |
news articles | 3 |
first report | 3 |
higher probability | 3 |
restructuring offer | 3 |
measured using | 3 |
values greater | 3 |
restructuring option | 3 |
strongly correlated | 3 |
minimum sample | 3 |
experiencing high | 3 |
sample types | 3 |
essential services | 3 |
relatively small | 3 |
psychological reactions | 3 |
patients participants | 3 |
value added | 3 |
legal doctrine | 3 |
higher fear | 3 |
psychopharmacological treatment | 3 |
people exposed | 3 |
holdout problem | 3 |
training set | 3 |
factors may | 3 |
risk groups | 3 |
quasi reputable | 3 |
section discussion | 3 |
relevant factors | 3 |
lockdown areas | 3 |
last three | 3 |
available studies | 3 |
copy number | 3 |
school activities | 3 |
single nucleotide | 3 |
high percentage | 3 |
recovered patients | 3 |
disseminate appropriate | 3 |
migration among | 3 |
psychosocial interventions | 3 |
march announcement | 3 |
entire week | 3 |
two linear | 3 |
good model | 3 |
without undue | 3 |
tested positive | 3 |
greater severity | 3 |
dynamic system | 3 |
final goal | 3 |
similar results | 3 |
respondents agreed | 3 |
nature remains | 3 |
sars survivors | 3 |
health messaging | 3 |
mailing lists | 3 |
nationwide pandemic | 3 |
perceived probability | 3 |
central bank | 3 |
large part | 3 |
mixed results | 3 |
political groups | 3 |
undue reservation | 3 |
rules governing | 3 |
online debate | 3 |
lines standing | 3 |
case study | 3 |
main predictors | 3 |
implementing emergency | 3 |
national self | 3 |
two hashtags | 3 |
following days | 3 |
hiv mono | 3 |
il fatto | 3 |
italian embassies | 3 |
higher psychological | 3 |
single infected | 3 |
published maps | 3 |
potentially impact | 3 |
survey will | 3 |
eeg monitoring | 3 |
extreme right | 3 |
significance threshold | 3 |
previous study | 3 |
finding suggests | 3 |
major companies | 3 |
two countries | 3 |
negative consequences | 3 |
deceased cases | 3 |
graph signals | 3 |
impact health | 3 |
first seven | 3 |
controlled trial | 3 |
news source | 3 |
distancing following | 3 |
control study | 3 |
pandemic response | 3 |
restructuring plan | 3 |
institutional distrust | 3 |
directly exposed | 3 |
discomfort associated | 3 |
positively related | 3 |
holdout creditor | 3 |
also find | 3 |
community health | 3 |
sovereign bond | 3 |
predicted curves | 3 |
frail patients | 3 |
functional reserve | 3 |
one family | 3 |
four main | 3 |
log scale | 3 |
asterisk indicates | 3 |
tweets featuring | 3 |
overall prevalence | 3 |
procedure described | 3 |
series modification | 3 |
data supporting | 3 |
respiratory diseases | 3 |
includes isolated | 3 |
farms located | 3 |
internal mobility | 3 |
foreign law | 3 |
national authorities | 3 |
connecting nodes | 3 |
various studies | 3 |
shed light | 3 |
fundamental right | 3 |
credit line | 3 |
multicentric italian | 3 |
identical baseline | 3 |
negatively affect | 3 |
links connecting | 3 |
observable heterogeneity | 3 |
wing party | 3 |
initial outbreak | 3 |
common mental | 3 |
among people | 3 |
second model | 3 |
production matrix | 3 |
emotional distress | 3 |
model cacs | 3 |
york city | 3 |
principal components | 3 |
weighted retweet | 3 |
develop efficient | 3 |
org licenses | 3 |
past one | 3 |
asymptomatic cases | 3 |
wider range | 3 |
perceived quality | 3 |
large set | 3 |
introduce time | 3 |
significant eqtl | 3 |
growth modeling | 3 |
real data | 3 |
study investigated | 3 |
fold cross | 3 |
generalized logistic | 3 |
national economy | 3 |
icu capacity | 3 |
social variables | 3 |
lifestyle changes | 3 |
materia di | 3 |
online surveys | 3 |
predictive factors | 3 |
sectional population | 3 |
representative survey | 3 |
predictive model | 3 |
panels black | 3 |
angiotensin converting | 3 |
italian area | 3 |
salivary gland | 3 |
allows us | 3 |
psychiatric conditions | 3 |
temperament evaluation | 3 |
times higher | 3 |
brain injury | 3 |
style questionnaire | 3 |
isolated people | 3 |
surface area | 3 |
seir coefficients | 3 |
italy regions | 3 |
problems experienced | 3 |
aged years | 3 |
among citizens | 3 |
may lead | 3 |
enough data | 3 |
observational study | 3 |
clinically stable | 3 |
chinese one | 3 |
different scenarios | 3 |
periodic assessment | 3 |
epidemic spreading | 3 |
psychological healthcare | 3 |
adolescents living | 3 |
several mental | 3 |
cell entry | 3 |
depressive anxiety | 3 |
pandemic may | 3 |
epidemic peak | 3 |
related risk | 3 |
developed countries | 3 |
italy covid | 3 |
lessons learned | 3 |
made substantial | 3 |
prediction analysis | 3 |
supportive long | 3 |
term impact | 3 |
size indices | 3 |
clinical conditions | 3 |
positive valence | 3 |
proven effective | 3 |
users perceived | 3 |
financial institutions | 3 |
week intervals | 3 |
affect trust | 3 |
curve models | 3 |
time lags | 3 |
uncontrolled growth | 3 |
significant reduction | 3 |
italian territory | 3 |
significant psychological | 3 |
internal loc | 3 |
median age | 3 |
regional scale | 3 |
concerning snvs | 3 |
publicly available | 3 |
give us | 3 |
viral circulation | 3 |
first four | 3 |
authorities may | 3 |
anxious temperament | 3 |
null models | 3 |
index value | 3 |
region coding | 3 |
random noise | 3 |
coordinating center | 3 |
isolation measures | 3 |
depression levels | 3 |
patients requiring | 3 |
previously described | 3 |
province affected | 3 |
first reported | 3 |
world bank | 3 |
upper respiratory | 3 |
administrative decisions | 3 |
many links | 3 |
social denounce | 3 |
mental impact | 3 |
health management | 3 |
asian countries | 3 |
help us | 3 |
listed ones | 3 |
pandemic occurs | 3 |
disease control | 3 |
pandemic management | 3 |
limitations imposed | 3 |
based mental | 3 |
normative data | 3 |
polarised emotional | 3 |
medical conditions | 3 |
word stemming | 3 |
global measure | 3 |
stars movement | 3 |
previous investigations | 3 |
will continue | 3 |
eqtl analysis | 3 |
european economy | 3 |
even harmful | 3 |
reliable computation | 3 |
values lower | 3 |
extraordinary measures | 3 |
framework decree | 3 |
structured sars | 3 |
italian news | 3 |
left panels | 3 |
local indicators | 3 |
use disorders | 3 |
across italy | 3 |
day according | 3 |
psychological adaptation | 3 |
likely characterized | 3 |
distress scale | 3 |
normalized root | 3 |
average daily | 3 |
policy responses | 3 |
right panels | 3 |
network distance | 3 |
will now | 3 |
psychiatric disorders | 3 |
null classifier | 3 |
normal life | 3 |
overall effectiveness | 3 |
survey conducted | 3 |
methodologically rigorous | 3 |
administrative substitution | 3 |
directly indirectly | 3 |
flows network | 3 |
total sample | 3 |
unemployed participants | 3 |
throughout italy | 3 |
will last | 3 |
partner violence | 3 |
experiences related | 3 |
international law | 3 |
null predictor | 3 |
economic costs | 3 |
modern global | 3 |
type scale | 3 |
negative sentiment | 3 |
direct consequence | 3 |
law debt | 3 |
better results | 3 |
sleep problems | 3 |
many studies | 3 |
health questionnaire | 3 |
joint effort | 3 |
another one | 3 |
older age | 3 |
increased alertness | 3 |
different countries | 3 |
appropriate credit | 3 |
dynamics using | 3 |
rate data | 3 |
resilience styles | 3 |
population date | 3 |
extensive testing | 3 |
single sample | 3 |
lys arg | 3 |
italy reported | 3 |
higher percentage | 3 |
incredibly high | 3 |
growth dynamics | 3 |
consent form | 3 |
seven fcv | 3 |
demographic factors | 3 |
italian females | 3 |
dispositional self | 3 |
allow us | 3 |
secondary school | 3 |
italian courts | 3 |
esm treaty | 3 |
grave danger | 3 |
pharmacological treatments | 3 |
attitude toward | 3 |
strategy implemented | 3 |
central regions | 3 |
remains neutral | 3 |
main findings | 3 |
analyses will | 3 |
trait inventory | 3 |
medical health | 3 |
mathematical modeling | 3 |
unprecedented event | 3 |
economic contagion | 3 |
line indicates | 3 |
predisposing genetic | 3 |
maturity extensions | 3 |
may characterize | 3 |
higher incomes | 3 |
brief cope | 3 |
standard deviations | 3 |
epidemic will | 3 |
probable approximating | 3 |
fifty italian | 3 |
values indicate | 3 |
ml algorithms | 3 |
negative economic | 3 |
della protezione | 3 |
findings indicate | 3 |
di emergenza | 3 |
social users | 3 |
italian territorial | 3 |
maladaptive coping | 3 |
welfare services | 3 |
may appear | 3 |
current crisis | 3 |
socioeconomic status | 3 |
italian society | 3 |
fight covid | 3 |
clinical psychology | 3 |
respiratory disease | 3 |
italian industrial | 3 |
first countries | 3 |
difficult times | 3 |
local legislation | 3 |
european court | 3 |
binomial distribution | 3 |
stress class | 3 |
individual rights | 3 |
online misinformation | 3 |
stringent emergency | 3 |
enables us | 3 |
jurisdictional claims | 3 |
use disorder | 3 |
validation procedure | 3 |