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1703107377010155110166
156.709870012870141210246
mRNA9898700128183276377478
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toll-like2347870012869140179218267304344414476
receptors2858870012877139201263333372442488543
3,3436870012899135
7,3606870012899135
8,3776870012899135
and3946870012891161231
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in4348870012869139
the4523870012867138200
nasopharyngeal4758870012899162217286356427489535605674744807870907
epithelial7091111012862133172211280343381420483521
cells12661111012899161200239293
of159411110128107154
coronavirus17831111012899170217287357420489527574644699
disease251711110128107146201263325379441
2019299311110128107177247317
patients334511110128107170208248309380418472
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Z.396411110128122157
Bagheri-Hosseinabadi,415611110128130194264333396443482533634704758813876914983104611151178124812871322
E.551211110128122157
Rezazadeh7091354012894156218281343405475537606
Zarandi,13431354012886148195257326397435471
M.184013540128125160
Mirabzadeh202713540128125164211274343405468537600669
[et27591354012839101139
al.]29261354012863102137183
//3143135401283171
BMC32421354012893218312
infectious35891354012831101148210273311349420490544
diseases.41611354012870108162228290343406461496
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2022.48101354012870140210280316
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P.1-10.10881595012878113184231300369405
157.7091836012870141210246
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and15331836012891161232
diabetes18001836012899137200269332370433487
as23221836012890145
high-risk25031836012898138207277327373412466536
factors30751836012875137199238308355409
for35181836012876146193
severe37461836012883146215278325387
coronavirus41681836012891160207277347410479518564635690
disease48931836012898137191254316370432
201953611836012898168237307
(Covid-19)7092077012847140211280320389437506576623
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Y.146020770128101136
Zhou,16312077012894164234304339
J.2005207701286399
Chi,21482077012893164202237
W.242920770128133166
Lv,26302077012895165200
Y.287420770128102136
Wang305520770128133193264334
[et34252077012856118157
al.]36182077012870109145191
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Diabetes/metabolism397520770128102139202272334373436489528638698737800870940979101810721181
research51892077012856118173236298345407476
and7092320012862133202
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2021.15582320012870139209279315
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37,22922320012870141176
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2.26712320012870105
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P.29162320012878113
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J.G.1710256101286298199233
COVID-1919872561012894195296342444491561632
in26542561012847117
Nursing281625610128101171218271311380450
Homes:331125610128101171279341395435
Calming37902561012894156194304341411482
the43072561012848118181
Perfect45232561012887150195242304367406
Storm49642561012888125195242351
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J.G.5432256101286499200235
Ouslander,70928020128101171226265327397467530577612
D.C.135628020128102136230265
Grabowski//165628020128102148210280350452506575615653693
Journal23842802012855125195242312374412
of28322802012871118
the29852802012839109171
American319128020128101211271318357420482552
Geriatrics377928020128102164210249311350397435498551
Society.43672802012878148211249311350421454
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2020.49682802012871141211281316
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Vol.542728020128101171209245
68,7093044012870141176
№91930440128134
10.10883044012870139175
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P.14043044012878113
2153-2162.15513044012871140210280327396467536606641
159.7093285012870141210246
Panda,98932850128152214285354417452
A.K.147632850128169204305339
CD14185032850128162263333403
(C-159T)228932850128115208256326397467553599
polymorphism292332850128138208247318427495542612683721775885
is384232850128107162
associated403932850128131185240310373411473512574644
with471832850128169208247321
increased507432850128107177240286349411465527597
susceptibility7093527012855125179242304373412451521560599637677747
to14903527012837108
SLE,16323527012878164249283
and19503527012861131202
plasma21863527012870109171225334394
levels26153527012838101171234273327
of29763527012870117
soluble31293527012851122161230301339402
CD1435653527012893195264334
is3935352701283791
a40623527012860
novel41563527012870141211273312
biomarker45013527012870110179289349396466529576
of51103527012871118
disease52613527012871109164226287342405
activity:7093768012862125164202273311351421459
A119437680128102
hospital-based13223768012870140195265305343406444492561623678740810
case-control21583768012863125180243290351421491530577647685
study/2870376801285593164234303340
A.K.323837680128102136238272
Panda,35373768012878140211281344379
R.39423768012894129
Tripathy,40973768012886132171242305344413484517
B.K.46403768012894129230264
Das493237680128101163217
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Lupus.52823768012885155226296350386
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2021.8154010012870139210280315
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Vol.127140100128101169209244
30,15494010012870140176
№175840100128134
2.19274010012871106
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P.21744010012879114
219-227.23224010012870140209257327397466502
160.7094251012870141210246
Pang,98942510128152214285354390
J.1414425101285388
High-Speed153542510128102140210280327406476537600669
railways22394251012846107146185287349419472
and27474251012860131200
the29834251012836107169
spread31874251012853123170232294364
of35854251012870117
Covid-1937344251012894164234272343392461530
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J.4373425101285287
Pang,44944251012878140209279314
Y.484242510128101135
He,501142510128101163198
S.52424251012878114
Shen53894251012878148211281
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Travel8234493012886132194263326364
Behaviour12224493012894156226288358397466537584
and18414493012863131202
Society.20784493012879147210248311349419452
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2023.26734493012870140211281316
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Vol.312944930128101171210246
30.34094493012870140176
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P.37254493012878113
1-10.38714493012871118188258293
1617094735012870141210
Polymorphism95447350128187257297367476544591661732770824934
of19124735012870117
CD1420564735012894195266336
Gene241947350128101163232295
Is2749473501283893
Associated286947350128101155209279341380442481544613
with350947350128101140179249
Adverse378547350128101171240303350403466
Outcome427747350128102171210273342450511
among48154735012862173240311382
Patients52234735012878141180218281350390444
Suffering7094976012878148195242305351389459530
from12744976012858105175285
Cardiovascular16054976012893156202273311381451513568631700738801848
Disease250149760128101139194256319372435
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S.30574976012890125
Schulz,32174976012890153223293332394429
M.369349760128125163
Zielske,38914976012899137200238293362424459
S.43854976012891126
Schneider45464976012891153223293355393464526572
[et51544976012859122160
al.]53494976012875113148194
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Mediators70952170128125187257296359396467514568
of13125217012870116
Inflammation.14645217012846116163202264374482543582621692761797
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2021.24015217012870141211280316
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P.28575217012878113
300243930045217012870141210280350420490
162.7095459012870141210246
Pranzo,98954590128152199261331394463499
A.151554590128101136
M.167854590128125160
R.18655459012894129
Epidemiological20215459012886156195266328438475545585654724763826887926
geography29745459012870133202273320381451521591
at35925459012862101
work:372154590128102171218289327
An407654590128102171
exploratory42755459012863132202241310358420458528576646
review49545459012840102172212274375
about53565459012862133202273311
the7095701012839110172
overall9175701012886156219265328366405
findings13585701012864102172242281351421475
of18685701012888135
spatial20385701012873142205243282345383
analysis24575701012879149211250321374413467
applied29605701012880149218258296359428
to34245701012856126
the35855701012857127189
study38095701012873111181251322
of41645701012888135
CoViD-19433457010128112182284322424476546616
propagation49865701012886133204273336405468506545615684
along7095942012862101172242311
the10565942012847118179
first1270594201285594141196234
pandemic15405942012878141210280342450487550
year/21265942012879140202249288
A.245859420128101136
M.263659420128125160
R.28405942012894129
Pranzo,30055942012886134196266329398434
E.34815942012886121
Dai364559420128101163202
Prà,38825942012886133195230
A415659420128102
Besana43015942012894156211274343406
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GeoJournal.487159420128101163233288358428475545607646680
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2023.7096183012870141210280316
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Vol.116561830128101171209245
88,14446183012871140176
№165461830128134
1.18226183012870106
–19636183012870
P.20696183012878113
1103-1125.22166183012871141211281328397468537607642
163.7096426012870141210246
Predictors98964260128152199261331370433470541588642
of16666426012884132
contracting18336426012877147217255303365427465505574645
COVID-19251464260128107208309355457505575646
in31966426012853122
nursing33546426012885155202256295365435
homes:38256426012884153263323378417
Implications42786426012862171239278318380442481520590659714
for50286426012862131178
clinical52416426012878116154225263326388426
practice7096667012870117180242280320381444
/11886667012833
M.S.125066670128125160238273
Aghili,155166670128101171242280320358393
A.197266670128101136
Darvishpoor213766670128102164210281320375445514585655702
Kakhki,286866670128101163233303373412447
L.33446667012886120
Gachkar,349566670128101163225295366429476511
P.M.40346667012878114238273
Davidson433466670128102164234273344398468538
//4908666701283271
J50146667012849
Adv509266670128101171241
Nurs.536266670128101171217272307
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2022.8156908012870139210280315
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Vol.127169080128101169209244
78,15496908012870140176
№175869080128134
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P.21746908012879114
2799-2806.23226908012870140209280328397466537607642
164.7097149012870141210246
Prevention98971490128152199261331394463502541611681
and17057149012864133204
control19457149012863133202242288357397
of23777149012871118
COVID-1925317149012894195296342444492562633
in31987149012841111
nursing33447149012871141188243281351421
homes,38017149012871140250310365400
orphanages,42367149012872120190259322391453523586640675
and49467149012864133204
prisons51857149012871119156211281351406
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J.709739001285590
Wang,84373900128133193263334370
W.125773900128132166
Yang,146773900128101163233304339
L.18497390012886120
Pan20047390012887150220
[et22597390012856117156
al.]24507390012871110146193
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Environmental27997390012894164234272319388459569629699738801839
Pollution.36747390012887156195234303343381451522557
–42667390012882
2020.43837390012880149220290325
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Vol.486773900128101171209245
266.51477390012878148218253
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P.55507390012886121
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