387
1343085388012870141210
69.1063763012870141177
An14177630128101172
Overview16387630128102172234281351390452553
of2226763012886133
SARS-CoV-22394763012893193286364413507577677725794
Etiopathogenesis32247630128101139178248318381420489559628691760823878916970
and4230763012877147217
recent4483763012862124186249318357
developments4876763012885147217280318388458568630699738793
in709994012839110
COVID-19854994012894194294342443490560630
Vaccines15199940128101163225288326396458513
/2067994012839
D.21429940128101136
S.2313994012878113
Mathew,24619940128124187225295358458494
T.2989994012886122
Pandya,3144994012878141211281351413449
H.36289940128101136
Pandya3799994012878141209279350412
[et4247994012846107146
al.]4429994012862101136183
//464799401283977
Biomolecules.4760994012893133202311380419482544613652714768803
–5598994012873
2023.7091224012870141210280316
–10591224012871
Vol.116412240128101172210246
13,14441224012870140176
№165412240128134
11.18221224012870140175
–20321224012871
P.21381224012879114
1565.22861224012870140209280316
70.10631453012870141177
An141714530128101172
updated16251453012891161231294332395464
meta-analysis212414530128132194232295343406475536576646700739794
on29531453012892162
the31511453012860131192
association33781453012885140194264326365427465505574645
between40581453012892154192293356418487
HIV458114530128124171271
infection48881453012861131177239301340379450519
and54431453012884154224
COVID-197091684012894195296343443491561631
mortality138316840128109180227265327365405443513
/19301684012847
Y.202116840128101137
Wang,220116840128132194264335370
R.26141684012894129
Feng,27781684012886148218289324
J.3136168401286398
Xu327716840128101172
[et34841684012855118157
al.]36761684012871110145192
//3903168401284785
AIDS.403216840128101148249326361
–44281684012883
2021.45461684012879149220290325
–49061684012879
Vol.502916840128101171210246
35,53101684012878147183
№553416840128134
11.7091914012870141176
–9191914012870
P.10251914012878113
1875-1878.11721914012870140211280328397467537607642
71.10632143012870141177
Analysis141721430128101172234273342397436490
of19432143012879126
Drug-Resistance211221430128101149218288337430492546585639679740811873935
characteristics30822143012871142203250312375413476522560615654693755810
and39272143012872142212
genetic41742143012878141211273312350413
diversity46222143012879118188250297351389429498
of51562143012879126
multidrug-resistant5327214301281091782162562977092374012870117188257305352413467506561599662731771
tuberculosis15152374012848119189251298360430469539593632686
based22372374012880143197259328
on26012374012881151
Whole-Genome279823740128133202272310373423523586655726835896
Sequencing37302374012888150221290353422485523592663
on44282374012881151
the46142374012850119182
Hainan484123740128102164203272335404
Island,52812374012857111150212282351387
China7092604012894164203273336
/10792604012845
J.1160260401286096
Wang,129726040128133195264333369
C.17072604012894129
Yu,187626040128102172208
Y.212426040128102137
Xu230126040128102171
[et25082604012853116154
al.]26972604012868107143189
//2922260401284482
Infection30402604012853122170232294332372441511
and35872604012869138207
Drug383626040128101148218288
Resistance.41652604012894155209249303342404474536599634
–48342604012881
2023.49512604012876146216286321
–53072604012877
Vol.542526040128101172210246
16.7092834012870141176
–9192834012870
P.10252834012878113
5783-5798.11722834012870140211280328397467537607642
72.10633064012870141177
Analysis141730640128101172234273342397436490
of19433064012890137
the21143064012859128191
risk23403064012867105160230
factors26053064012866128190229299346400
for30403064012867137184
nosocomial32593064012890159213284347416526563625664
bacterial39593064012889151214252314361400462501
infection44963064012857127174237299337376446516
in50463064012859130
patients52113064012889152190229291361400455
with70932940128101141179249
COVID-1999332940128107208309356456504573644
in16733294012851121
a18293294012876
tertiary19393294012851114161200238301348417
hospital23913294012883153208278316356418456
/28833294012852
K.298232940128101137
Cheng,315432940128106176239309379414
M.361632940128125160
He,382332940128102164200
Q.407032940128101137
Shu42423294012891160230
[et45083294012859122160
al.]47033294012875114150196
//4935329401285089
Risk506032940128106144199269
management5377329401281091722477093524012862133195305366436475
and12193524012862131202
healthcare14553524012870133195233272342405467513575
policy.20653524012870140179218281350385
–24853524012872
2020.25923524012870140210280316
–29413524012870
Vol.304735240128101171210246
13.33263524012870141176
–35373524012870
P.36423524012878113
2593-2599.37903524012870141210280327396467537606642
73.10633754012870141177
Artificial141737540128101149188226273311374412475514
intelligence-based196637540128701401782412803183574274895596226837328028659189811050
tools30523754012869140210248303
to33913754012869139
control35663754012893163232271318388427
healthcare402837540128101164225264303373435497544607
associated46703754012893148202271334372435474536606
infections:53113754012870140187249314709398401283978148219273311
A106339840128101
systematic11983984012862131186225288397458497536598
review18313984012854115186225287388
of22553984012876123
the24133984012845114177
literature2625398401284584123186232295333403449511
/31713984012846
A.325839840128101137
Scardoni,34303984012884147209256325394465504539
F.40043984012885120
Balzarini,41653984012894155194257319366404474513549
C.47553984012894129
Signorelli49193984012885122192263332379442480519558
[et55113984012854116155
al.]7094214012862101137184
//928421401283877
Journal10404214012855124194241311373412
of14864214012870117
infection16384214012839109156218281319358428498
and21724214012861131200
public24084214012870140209249287350
health.27924214012870133195233272342376
–32034214012873
2020.33114214012870141211280316
–36614214012871
Vol.376642140128101172210246
13,40464214012871140176
№425542140128134
8.44244214012871106
–45654214012871
P.46714214012878113
1061-1077.48174214012871141211280328397468537607642
74.10634444012870141177
Association141744440128101156210280343382444483521592661
between21144444012873136175276339400470
tuberculosis26204444012842113182245292354423462532587625680
and33364444012866135205
COVID-1935814444012893195296343443493563633
severity42504444012858120190252299338376446
and47324444012866137206
mortality:497744440128109179227264327366405443514552
A556844440128101
rapid7094675012847109179218289
systematic10334675012861131186225287397458497535598
review16664675012855117186225287388
and20904675012870139209
meta-analysis234246750128109172210272321383452515553623678716771
/31484675012847
Y.323746750128101137
Gao,341746750128101163233269
M.372846750128125160
Liu,39304675012886124195230
Y.420246750128101137
Chen43804675012894164227296
[et47124675012854117155
al.]49024675012870108144191
//5128467501284585
Journal52484675012862131202249318381419
of7094904012870117
medical86149040128110172241280342404443
virology.13394904012870109155226264335404474509
–18844904012870
2021.19904904012870139210280315
–23404904012870
Vol.244449040128102171211246
93,27244904012870141176
№293349040128134
1.31034904012870105
–32434904012871
P.33494904012879114
194-196.34974904012870140209257327397466502
75.10635134012870141177
Association141751340128101156210280343382444483521592661
of21145134012872119
HIV227051340128102149249
infection25555134012841110157220282320360429499
and30895134012865135205
antiretroviral33295134012864135174213260322360407476546585633694733
therapy40975134012841111174221283352422
with455651340128102141179249
the48415134012841111174
occurrence50495134012872135197267315362423493556617
of7095365012870117
an8615365012884153
unfavorable10505365012891161208270339410456518587627690
TB177553650128106199
treatment20095365012860107169232270379442511549
outcome25945365012891161200262332442503
in31315365012860131
a32985365012883
rural34165365012868137184247285
district37365365012892130184224271309371409
hospital41815365012891161216286324363426464
in46815365012860130
Eastern484653650128106169223262324371440
Cape,532253650128115177246309344
South7095594012878148219257327
Africa:107255940128101148194233295358396
A150355940128101
retrospective16405594012846109148195264318389452513552590660723
cohort23985594012862132202272318357
study2791559401285593163233303
/31295594012839
B.32035594012894129
J.3367559401285489
van34915594012870133203
de37305594012870132
Water,389755940128133195234296342378
I.4310559401284681
Fulcher,44265594012878148187250319382429464
S.49255594012878113
Cilliers50725594012894133172212250313360413
[et55215594012846107146
al.]7095824012862101137184
//928582401283877
PLoS10405824012878164233312
One.138558240128102172234269
–16895824012871
2022.17955824012870140209280316
–21445824012871
Vol.225058240128101171211246
17,25295824012871141177
№273958240128134
4.29085824012870106
–30485824012870
P.31545824012878113
e0266082.33025824012862132203272342413482552587
76.10636055012870141177
BA.214176055012894195231301
and17526055012875145215
BA.5200260550128107207243311
omicron23496055012883191230292338408479
differ28626055012883122169216278324
immunologically32216055012852161269339409479518588657697760821860898968
from42246055012860107176285
both45456055012881152190260
BA.1484160550128106206242312
omicron51886055012882192229292339408478
and7096284012862133202
pre-omicron9476284012876122184231300410449510557627697
variants16806284012874137184222283354393447
/21636284012843
A.224662840128101137
Rössler,24236284012894163218272311373420455
A.291762840128102137
Netzl,309362840128102165202265304340
L.34726284012886121
Knabl363262840128102171234304343
[et40106284012853114153
al.]41996284012866105140187
//4421628401284483
Nature454562840128101163202271319381
communications.49616284012867137247355425495533595663709651501283978148219273308
–10526515012870
2022.11576515012870139210280315
–15076515012870
Vol.161165150128102172211246
13,18916515012870140176
№210065150128134
1.22706515012870105
–24106515012871
P.25166515012879114
7701.26636515012870141210280316
77.10636745012870141177
Bhargava,14176745012894164227273342405474537572
A.202667450128101137
The22006745012885156218
potential24536745012873143181243313353391454492
impact29816745012841150219282344382
of33996745012872119
the35536745012841112175
COVID-1937656745012893194295342443493563633
response44336745012850113166236306376430493
related49616745012850111149212251313383
lockdown537867450128431121752457096974012870141242311
on10566974012871141
TB12346974012886180
incidence14486974012841110173211281343413476538
and20216974012864134204
mortality226269740128109178226263326364404442513
in28096974012841111
India29556974012849118188226289
/32796974012840
A.335569740128102137
Bhargava,35296974012894163225272341404474536571
H.413769740128101137
D.430969740128102137
Shewade44836974012878147210310373443505
//5023697401284179
The51386974012886156219
Indian539269740128481171872347097205012862133
journal8777205012839108178225295357396
of13077205012870118
tuberculosis.14607205012839108178241287350419458528583621676712
–22077205012870
2020.23137205012870139209280315
–26627205012870
Vol.276772050128102171211246
67,30477205012870139175
№325672050128134
4S.34267205012870147182
–36437205012871
P.37497205012878113
S139-S146.38977205012878148217287334413481552622657
78.10637435012870141177
Bioarchaeological141774350128941332032653123744435065686386777478168569189801019
and24717435012872141210
molecular272674350128109180218281343412451513560
evidence33217435012872141180250313382445507
of38627435012879126
tuberculosis40247435012848117188251296359429468537592631685
in47447435012848118
human48987435012879149257320390
skeletal532374350128641341962343027097664012839102141
remains8857664012854115224287325395449
from13707664012853100169279
18th-19th16847664012875146185254303373443482552
century22727664012868130200239308356426
orthodox27337664012876123161232302371442512
cemeteries32807664012869131240302341403449489550605
in39217664012844115
Irkutsk,40717664012854101170239279333402438
Eastern45517664012885148202241303350420
Siberia50067664012885123193255302340403
/54447664012845
N.553176640128101137