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In the current SARS-CoV-2 pandemic a key unsolved question is the quality and duration of acquired immunity in recovered individuals. This is crucial to solve, however SARS-CoV-2 has circulated for under five months, precluding a direct study. We therefore monitored 10 subjects over a time span of 35 years (1985-2020), providing a total of 2473 follow up person-months, and determined a) their antibody levels following infection by any of the four seasonal human coronaviruses, and b) the time period after which reinfections by the same virus can occur. An alarmingly short duration of protective immunity to coronaviruses was found by both analyses. We saw frequent reinfections at 12 months post-infection and a substantial reduction in antibody levels as soon as 6 months post-infection.
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1
Humancoronavirusreinfectiondynamics:lessonsforSARS‐CoV‐2
Authors
ArthurW. D.Edridge1,JoannaKaczorowska1, AlexisC.R.Hoste2,Margreet Bakker1,Michelle Klein1,
Maarten F. Jebbink1, Amy Matser3, Cormac M. Kinsella1, Paloma Rueda2, Maria Prins3,4, Patricia
Sastre2,MartinDeijs1,LiavanderHoek1,*
Affiliations
1. Laboratory of Experimental Virology, Department of Medical Microbiology and Infection
Prevention,AmsterdamInfection&ImmunityInstitute,AmsterdamUMC,UniversityofAmsterdam,
Meibergdreef15,1105AZAmsterdam,TheNetherlands.
2.INGENASA,InmunoloayGenéticaAplicadaS.A.,Av.delaInstitución Libre de Enseñanza,39, 
28037Madrid,Spain
3.DepartmentofInfectiousDiseases,PublicHealthServiceofAmsterdam,NieuweAchtergracht100,
1018WTAmsterdamTheNetherlands.
4. Amsterdam UMC, University of Amsterdam, Department of Infectious Diseases, Amsterdam
Infection& ImmunityInstitute,AmsterdamUMC,University ofAmsterdam,Meibergdreef15,1105
AZAmsterdam,TheNetherlands.
*Correspondingauthor
ABSTRACT
InthecurrentSARS‐CoV‐2pandemicakeyunsolvedquestionisthequalityanddurationofacquired
immunity in recovered individuals. This is crucial to solve, however SARS‐CoV‐2 has circulated for
underfivemonths,precludingadirectstudy.Wethereforemonitored10subjectsoveratimespanof
35years(1985‐2020), providinga total of2473follow upperson‐months,and determineda)their
antibodylevelsfollowinginfectionbyanyofthefourseasonalhumancoronaviruses,andb)thetime
periodafterwhichreinfectionsbythesameviruscanoccur.Analarminglyshortdurationofprotective
immunitytocoronaviruseswasfoundbybothanalyses.Wesawfrequentreinfectionsat12months
post‐infectionandsubstantialreductioninantibodylevelsassoonas6monthspost‐infection.
ONESENTENCESUMMARY:Coronavirusprotectiveimmunityisshort‐lasting

. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted May 18, 2020. .https://doi.org/10.1101/2020.05.11.20086439doi: medRxiv preprint
2
MAINTEXT
SARS‐CoV‐2isanovelcoronavirusresponsibleforanongoingpandemic.Itsrapidtransmissionismost
probably caused bythefactthatthe virus entered a grossly naive, thus highly susceptible, human
population, combinedwiththecapacity ofthevirusto transmit duringtheasymptomaticphaseof
infection.Sincenopharmaceuticalinterventionsareuniversallyavailableorapplied,currentpolicies
tolimitthespreadofSARS‐CoV‐2revolvearoundcontainment,socialdistancing,andtheassumption
thatrecovered patientsdevelopprotectiveimmunity.Itisstillunclearwhetherprotectiveimmunity
isindeed inducedafterinfection, andforhowlong.Thedurationofprotectionwillimpactnotonly
theoverallcourseofthecurrentpandemic,butalsothepost‐pandemicperiod.Todate,noconcrete
evidenceofreinfectionbySARS‐CoV‐2isavailable,norisanyexampleofreinfectionbySARS‐CoV‐1or
MERS‐CoV,yetthisislikelyinfluencedbytherecentemergenceofSARS‐CoV‐2andthelimitedscale
of the SARS‐CoV‐1 and MERS‐CoV epidemics. The limited available data on potential protective
immunityagainstcoronavirusreinfectionisderivedfromoneexperimentalinfectionstudyin
volunteers(1),fromwhichitisgenerallyassumedthatreinfectionbycoronavirusescanoccur.Natural
coronavirusinfectionsandsusceptibilitytoreinfectionhavenotbeen investigatedthusfar. If they
occur,reinfectionswillprobablybedictatedbytwovariables:exposuretothevirus,andthequality
ofsustainedimmunity(2).
Even though it is not possible to investigate SARS‐CoV‐2 reinfections yet, the seasonal
coronavirusesmayserveasareliablemodel.Therearefourspeciesofseasonalcoronaviruses,HCoV‐
NL63,HCoV‐229E,HCoV‐OC43,andHCoV‐HKU1.Allareassociatedwithmostlymildrespiratorytract
infections. However, aside from being etiological agents of common cold, the four viruses are
biologically dissimilar. Two belong to the genus Alphacoronavirus, and two to the genus
Betacoronavirus.The virusesuse characteristicreceptormoleculestoentera targetcell,andbased
onreceptordistributiontheydonotallenterthesameepithelialcelltypeinthelungs(3).Giventhis
variability,theseasonalcoronavirusesarethemostrepresentativeviru sgroupfr omwhichtoco nclude
generalcoronaviruscharacteristics,particularlycommondenominatorslikehostprotectiveimmunity
and susceptibility to reinfection. Since most people experience their first seasonal coronavirus
infectionduringearlychildhood(46),reinfectionslaterinlifecanbeinvestigated.
Theaimofthisstudywastoinvestigatethetimeperiodbetweencoronavirusreinfectionsand
thedynamicsofantibodydeclinefollowinginfection.Theseparameterswereassessedbymeasuring
theimmuneresponsetoeachindividualseasonalcoronavirus,overanextendedperiod.Wefollowed
healthysubjectsformultipledecadesatregularintervals.AsIgGlevelsonlyincreaseaftersuccessful
infection and—importantly—remain constant after unsuccessful viral challenge (1), increased
antibodylevelsidentifyaninfection.Weusedthecarboxylterminalofthenucleocapsidprotein(NCt)
as the target antigen in ELISA, as this protein is immunogenic, relatively low in interspecies
conservation,yethighinintraspeciesconservationwhencomparedtotheSpikeprotein(4,710).
Frequencyofinfectionsandreinfections.
Fromaprospectivecohortstudyfollowingadultmales(seeM&Mand (11)), ten subjects were
randoml yselected.Foll ow‐upof subject sstartedin1985 and,besidesagapinfollowupbetween1997
and2003,continueduntil2020atregularintervals(every3monthspriorto1989,andevery6months
afterwards,Table1).Thecumulativeperiodatwhichsubjectswerecontinuouslyfollowedtotaled
morethan200person‐years(2473months).Atstartofthestudy,subjectagerangedfrom27to40
years; by the end of follow‐up , subjects were 49 to 66 years old.Thestudywasapprovedbythe
MedicalEthicsCommitteeoftheAmsterdamUniversityMedicalCenter of the University of
Amsterdam,theNetherlands(MEC07/182).
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted May 18, 2020. .https://doi.org/10.1101/2020.05.11.20086439doi: medRxiv preprint
3
Infections by seasonal coronaviruses were defined as 1.4‐fold increase in antibody levels
occurringbetweentwovisits(1),andadditionallythestandard deviationsofthemeanatbothvisits
notoverlapping.Atotalof132events,rangingfrom3to22persubject,metthesecriteriaandwere
thusconsideredinfections(Table1).Theincidenceratesofseasonalcoronavirusreinfectionsper100
person‐yearsof follow‐upwas15.3 (95%CI10.0‐23.4);20.1(95% CI14.2‐28.7);16.4(95%CI 10.4‐
26.1);6.3(95%CI2.4‐16.8),forHCoV‐NL63,HCoV‐229E,HCoV‐OC43andHCoV‐HKU1respectively.To
test whether serological infection criteria represented symptomatic infections , we compared self‐
reported influenza like illnesses in the interval directly preceding the antibody peaks. Indeed,
reportingoffeverandcoughweresignificantlyassociated(Fisher’sexacttestp=0.031,supplementary
tableS1).
Table1.Studysubjectsandseasonalcoronavirusinfectionsduringfollowup.
Subject Year Age
Continuous
follow‐up
period
CoronavirusInfections
Start End Start End Months Years Total* NL63 229E HKU1 OC43
1 1985 2017 32 64 265 22.1 14 4 3 1 6
2 1985 2019 30 64 310 25.9 15 5 6 3 1
3 1985 2020 29 64 340 28.3 6 2 3 0 1
4 1985 2010 33 59 230 19.2 22 3 12 2 5
5 1985 2010 27 53 232 19.3 9 5 3 1 0
6 1985 1997 37 49 144 12.0 3 1 1 0 1
7 1985 2003 32 49 138 11.5 13 3 5 1 4
8 1986 2014 34 62 256 21.3 10 3 5 0 2
9 1985 2010 40 75 342 28.6 22 7 5 3 7
10 1985 2011 35 60 233 19.4 18 4 6 2 6
Total  2473 205.6 132 37 49 13 33
Medianreinfectiontimesof33(IQR18–60),31(IQR15–42),27(IQR21–49),and46(IQR
36–68)monthswerefoundforHCoV‐NL63,HCoV‐229E,HCoV‐OC43andHCoV‐HKU1,respectively,
and30(IQR18–54)monthsforallvirusescombined(Fig.1A).Therewasnostatisticallysignificant
differencebetweentheinfectionintervallengthsoftheindividualviruses(Kruskal‐Wallistest,P=0.74).
Inafewcases,re‐infectionsoccurredasearlyas6months(twotimesforHCoV‐229Eandonetimefor
HCoV‐OC43)and9months(twotimesforHCoV‐NL63).Themostfrequentobservedreinfectiontime
was 12 months. For reinfections occurring as early as 6 months, we observed no reduction in
antibodies between infections (Fig. 1A, white circles). At longer infection intervals, intermediate
reductionsinantibodylevelswereobserved.
Theability todetect short‐termreinfectionsislimitedbythesamplinginterval.Importantly
though,noreinfectionwasobservedatthefirstsubsequentfollow‐upvisitaftera 3monthinterval
(Fig.1A).Wedidobserveseveralreinfectionsatsubsequentvisitswitha6‐monthinterval,suggesting
that reinfections within 6 month s do not occur. To further support this point, weexamined ratios
betweenantibodylevelsbetweentwovisits,bothfor3and6monthfollow‐ups.AsshowninFig.1B,
only ratios below 1 were found in the observations with every 3monthsampling,andwecan
thereforesafelyconcludethatreinfectionsoccurfrom6monthson,yetmostprobablynotearlier.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted May 18, 2020. .https://doi.org/10.1101/2020.05.11.20086439doi: medRxiv preprint
4
Figure1Infectionandreinfectioncharacteristics,andwaningimmunity for seasonal coronaviruses.(A) The
intervaldurationsbetweenreinfections.Onlyreinfectionswhich were observed within a continuous follow‐u p
periodareshown.Whitedotsindicatereinfectionsforwhichnointermediatedecreaseinantibodylevelscouldbe
observed. Black vertical lines describe median reinfection times. (B) Changes in antib ody levels post‐infection
relativetothefollow‐upintervalduration.Eachcirclerepresentsaninfection. Thex‐axisdescribesthetimeuntil
thenext follow‐upvisit post‐infection.The y‐axisdescribesthechange inantibody levelatthesubsequentvisit.
Largercircles representsahigherratio‐riseinantibodylevelsattheinitialinfection.Thehorizontallineindicates
theborderbetweenincreases(>1.0)ordecreases(<1.0)inantibodylevelsatthenextstudyvisit(C)Kaplan‐Meier
curve showing decline of antibodies post infe ction (100%, 75% and 50%). The visit at which the infection wa s
establishedwas countedas timepoint0,caseswere subsequentlyfollowed. Anevent isdefinedwhen antibody
levels drop below the indicated level. When the antibody level did not decrease to the indicated levels, an
observationwascensoredatthelasttimepointofactivefollow‐up.
Antibodydynamicsafterinfection.
Onsomeoccasions,antibodyrisesreachedhighlevels(uptoratio11),representedinFig.1Baslarger
circles,yetthesehighvalueswereneversustainedatthenextstudyvisit(Fig.1B).Toinvestigatethese
dynamicsfurther,wecalculatedthetimeuntila50%,75%,orfullreturnofantibodylevelstobaseline
(pre‐infectionantibodylevels).AscanbeseeninFig.1C,within6monthspost‐infectionthemajority
ofpeoplelost50%oftheirantibodies,whereasafterayearthemajoritylost75%.Acompletereturn
tobaselinelevelsoccurredwithin4yearsforhalfofinfections(Fig.1C).
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5
Simultaneousinfectionsbyalpha‐andbetacoronaviruses.
AlthoughourELISAtestsusingtheCterminalpartoftheNproteinwerecautiouslydesignedtobe
specificforeachindividualvirus,wecannotruleoutthatacertaindegreeofantibodycross‐reactivity
occurred.Wethereforeinvestigatedhowofteninfectionscoincided,sincecross‐reactivitymayhave
ledtofalselabelingofinfections. We observed no significant simultaneous infections for
Alphacoronavirus(HCoV‐NL63orHCoV‐229E)alongsideBetacoronavirus(HCoV‐HKU1orHCoV‐OC43),
however, we did see that infections by the betacoronaviruses HCoV‐OC43 and HCoV‐HKU1 often
coincided (38.5%, Table 2).Likewise,foralphacoronaviruses,HCoV‐229Einfectionscoincided with
HCoV‐NL63infectionsin59.5%ofthecases,andviceversain44.9%ofthecases.Hence,thereisarisk
thatweoverestimated the numberinfectionsandthus reinfections. We thereforere‐analyzedthe
datawithamorestringentdefinitionofinfection,includingonlythestrongestantibodyriseinduced
bya BetacoronavirusorAlphacoronavirusatagiventimepoint.Underthisdefinitionwestillfound
infectionintervalscomparabletotheoriginaldata(supplementaryFig.S2),withminimuminfection
intervals as short as 6 months and frequent reinfections at 12 months, although the number of
reinfectionswasobviouslyreduced.
Table2.Coincidingcoronavirusinfections
Simultaneousinfections(%)
Infection HCoV‐NL63 HCoV‐229E HCoV‐OC43 HCoV‐HKU1
HCoV‐NL63 NA 44.9 3.0 7.7
HCoV‐229E 59.5 NA 18.2 23.1
HCoV‐OC43 2.7 12.2 NA 38.5
HCoV‐HKU1 2.7 6.1 15.2 NA
Broadly acting antibodies recognizing SARS‐CoV‐2. In theory, antibodies induced by (repeated)
coronavirus infections may have broad coronavirus‐recognizing characteristics. We therefore
performedanadditionalELISAonall10subjects,thistimeusingthecompleteNproteinofSARS‐CoV‐
2, to allow detection of broadly reacting antibodies. Visual inspection suggested that broadly
recognizing antibodies wer e produced, and were most likely induced by combined infections with
HCoV‐NL63andHCoV‐HKU1(subjects2,9and10,supplementaryFig.S1).
Coronavirusinfectionsinchangingseasons.
To date it is uncertain whether SARS‐CoV‐2 will share the same winter prevalence peak that is
observedforseasonalcoronavirusesinnon‐equatorialcountries.However,itisimportanttoconsider
thatwinterpreferenceof seasonal coronaviruses has only beendetermined by testingrespiratory
samplesofpeoplethatexperienceddisease(12).Samplingandstorageisthereforedictatedbyhaving
symptomsandnotbystudyprotocol.Ifco ronavirusspreadcontinuesunabatedinsummer,yetpeople
rarely display symptoms (e.g. because of higher vita min D levels) and are therefore not sampl ed,
infectionswillremainundetected.Ourserologicalstudyisuniquebecauseitavoidsthissamplingbias.
TheNetherlandshas a typicaltemperateclimate,andour study samples werecollectedatregular
intervals.Thesamplingofeachsubjectstartedatdifferenttimesoftheyear,and,becauseofthe3or
6monthsregimeofvisits,sampleswerecollectedthroughoutallseasons.Consequently,wecanfor
thefirsttimevisualizeinanunbiasedmannertheseasonalityofcoronavirusinfections.Asshownin
Fig.2,May,June,July,AugustandSeptemberindeedshowthelowestprobabilityofinfectionsforall
fourseasonalcoronaviruses(Wilcoxonsigned‐ranktest,p=0.005).
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6
Fig.2Seasonalityofinfections.Theprevalenceof thefour seasonal coronavirusesshown as theprobability of infection
onsetforaspecificmonth.Themonthsbetweenandincludingthemonthsofthefollow‐upvisitsatwhichtheinfectionwas
establishedandthepriorfollow‐upvisitwerecounted.Thevaluepermonthwasdividedbythenumberofmonthsbetween
follow‐upvisits.

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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted May 18, 2020. .https://doi.org/10.1101/2020.05.11.20086439doi: medRxiv preprint
7
DISCUSSION
Weshow,forthefirsttime,thatreinfectionswithallseasonal coronaviruses occur in nature.The
majorityofreinfectionsoccurredwithin3years.IfSARS‐CoV‐2willbehavelikeaseasonalcoronavirus
inthefuture,asimilarpatternmaybeexpected.However,thistimespanbetweeninfectionsdoesno t
indicatethatan individual’sprotectiveimmunitylastsforthesameperiodoftime,asreinfectionis
alsodependentonre‐exposure.Infact,basedontheminimuminfectionintervalsandthedynamics
ofantibodywaningthatweobserved,theprotectiveimmunity maylast aslittle as6 to12 months.
Recently Kissler et al.modeledthe protective immunity andreinfectiondynamicsHCoV‐OC43 and
HCoV‐HKU1 and estimated a 45 week period of protective immunity(13).Ourserologicalstudy
confirmsthisprediction.
WhenweviewourfindingsinlightofthecurrentcontrolactionstakenforSARS‐CoV2,itis
clearthatcoronavirusreinfectionriskiskeytopublichealthpolicy.Herewerevealariskthatinthe
nearfuture,serologybasedteststhatmeasurepreviousinfectionsforSARS‐CoV‐2mayhavelimited
use if that infection has occurred >1 year prior to sampling. Additionally, vaccine studies should
anticipate that sustained protective immunity may be uncertain for coronaviruses, and repeated
yearlyorhalf‐yearlyvaccinationsmaybeneededtocircumventongoingtransmission.
ThereisongoingdiscussionregardingherdimmunityforSARS‐CoV‐2control.Herdimmunity
occurswhenathresholdproportion ofapopulation isimmunetoacertainpathogen,andprotects
evennon‐immune individuals against theinfectionbylimitingoverall spread. This effect has been
observedforavarietyofviruses,mainlythosethatarepartiallycontrolledviavaccinationprograms,
suchashepatitisAvirus(14),influenzaAvirus(15), andhuman papillomavirus(16).Inthecaseof
SARS‐CoV‐2,achievingherdimmunitymaybechallengingduetorapidlossofprotectiveimmunity.It
wasrecentlysuggestedthatrecoveredindividualsshouldreceiveaso‐called“immunitypassport”(17)
whichwouldallowthemtorelaxsocialdistancingmeasuresandprovide governmentswith dataon
herdimmunitylevels inthepopulation. However,asprotective immunitymaybelostby6 months
post infection, the prospe ct of reaching functional herd immunity by natural infection seems very
unlikely.
It is generally assumed that exposure to each seasonal coronavirus is not equal. The
BetacoronavirusHCoV‐HKU1is consideredtohave thelowestprevalence (4,13)andwefoundthe
same. We also observed that antibody levels to HCoV‐HKU1 were low over the whole range (all
samplestested).WhetherthisindicatesHCoV‐HKU1infectionelicitsapoorinductionofantibodiesis
intriguing,yetnot answerableinourstudy. Weuseda relativelysmallpartoftheNproteinasthe
antigeninourtests,tomostspecificallyidentifyinfectionsbyeachvirusindividually.Thissmallpart
oftheproteinmaynotcontainthemostimmunodominantepitopesofHCoV‐HKU1.Aneutralization
testwouldideallybedonetosolvetheissueofprotectiveimmunityraisedbyHCoV‐HKU1;however,
unfortunatelynoculturingsystemsuitableforneutralizationtestingisavailableforHCoV‐HKU1(18).
WenoticedthreesubjectstocarryantibodiesrecognizingSARSCoV‐2N protein atcertain
timepoints.ItisunlikelythattheyhadbeeninfectedwithaSARS‐CoV‐2‐likevirusin1985(subject10),
1992(subject2),or 2006(subject 9),and wethereforesuggestthatbroadly actingantibodiesmay
havebee ninduce dbycoin cidin ginfect ionsofanAlpha‐andaBetacoronavirus(inoursub ject(s) HCoV
HKU1andHCoV‐NL63).Toexplorethisfindingwelookedat thegenetic distanceandconsequently
aminoacid differencesinthestructuralproteinofthevariouscoronaviruses(supplementaryTable
S2).Notably,SARS‐CoV‐2Nproteinhasonly32%and34%identityontheaminoacidlevelwiththeN
proteinofHCoV‐OC43andHCoV‐HKU1respectively,andonly26%and24%identitywithHCoV‐NL63
andHCoV‐229Erespectively. Similarly,thedistancebetweenAlphacoronavirusandBetacoronavirus
Nproteinislarge (only 24% to26%aminoacid identity). Still, we cannot exclude the presenceof
conserved(conformational) epitopesin HCoV‐HKU1andHCoV‐NL63 Nproteinthat mayresultin a
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8
more broadly acting antibody response, due to simultaneous exposure in concurrent infections.
Additionalscreening,includingmoresubjects,isrequiredforconfirmation.
Ourstudywassubjecttolimitations.Oneistheinabilitytosequencethevirusgenomeduring
infection.Intheory,strainvariationcouldplayaroleinsusceptibilitytoreinfection.HCoV‐NL63,HCoV‐
OC43,andHCoV‐HKU1allshowdifferentco‐circulatinggeneticclusters(1921).ForHCoV‐229E,there
arenomajorgeneticsubtypesknown,likethecurrentSARS‐CoV‐2situation(22,23).Itcouldbethat
ourobservationofshort‐termimmunityisinfluencedbygenotypevariation,andastudyonprotective
immunitywouldthereforeideallyallowsequencingofre‐infectingstrainsfromrespiratorymaterial;
however,thisisintractableinanaturalinfectionstudybecausevirussheddinginreinfectionscanbe
asshortasoneday(1).Anotherlimitationisthatthestudiessubjectswereallmales.ForCOVID‐19,
andalsoHCoV‐NL63,menhaveahigherincidenceofdisease(25,26),anditisthereforeofinterestto
determinethedynamicsofprotectiveimmunityalsoinacohortofhealthywomen.
In conclusion, seasonal human coronaviruses have little in common, apart from causing
commoncold.Still,theyallseemtoinduceashort‐lastingimmunitywithrapidlossofantibodies.This
maywellbeageneraldenominatorforhumancoronaviruses.
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Acknowledgments
TheauthorsgratefullyacknowledgetheAmsterdamCohortStudies(ACS)onHIVinfectionandAIDS,acollaborationbetween
the Public Health Service of Amsterdam, the Amsterdam UMC of the University of Amsterdam, Sanquin B lood Supply
Foundation,MedicalCenter JanvanGoyen, andthe HIVFocusCenteroftheDC‐Clinics.ItispartoftheNetherlandsHIV
MonitoringFoundation andfinanciallysupportedbytheCenterforInfectiousDiseaseControlof theNetherlandsNational
InstituteforPublicHealthandtheEnvironment.TheauthorsthankallACSparticipantsfortheircontribution,aswellasthe
ACS study nurses, data‐managers, and lab technicians. This work was supported by a grant from the European Union's
Horizon2020researchandinnovationprogramme,undertheMarieSkłodowska‐CurieActionsgrantagreementno.721367
(HONOURs),AmsterdamUMCfundingconnectedtoHONOURs,andtheAmsterdamUMCPhDscholarshipofA.W.D.Edridge.
Authorcontributions:A.W.D.E:Conceptualization,Writing– originaldraft,review andediting,Investigation,Visualization,
Formal Analysis, Validation;  J.K.: Investigation, Writing  – original draft, review and editing, A.C.R.H.: Resources; M.B.:
Investigation,Resources;M.K.: Investigation;M.F.J.: Investigation,Methodology;A.M.: FormalAnalysis;C.M.K.:Writing–
originaldraft,reviewandediting,FormalAnalysis; P.R.:Resources; M.P.:Resources;P.S.: Resources;M.D.:Investigation,
Methodology;L.v.d.H.:Conceptualization,Writing–originaldraft,Writing‐reviewandediting,Supervision.Competing
interests:Authorsdeclarenocompetinginterests.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted May 18, 2020. .https://doi.org/10.1101/2020.05.11.20086439doi: medRxiv preprint
... Reaching an avidity index of more than 0.6 was the exception and only found in rare cases in the time window between 50 and 90 days. These findings are in contrast to the findings for infection with other viruses, such as EBV, where low avidity of IgG is characteristic for the early phase of infection and is regularly followed by high avidity (24,25,(30)(31)(32); see also Supplementary Figure 1). Importantly, avidity indices for IgG directed towards S1 and RBD of SARS CoV-2 seemed to be very similar in most samples, whereas there were marked differences in avidity between IgG towards these two markers and IgG directed towards NP. ...
... Based on the findings that high avidity IgG is required for efficient protection towards infection after immunization or reinfection, incomplete avidity maturation of the immune response towards corona viruses, particularly their S1 protein, including the receptor binding domain (RBD) might indicate that the establishment of an IgG response is not sufficient in all cases to prevent reinfection. Interestingly, our finding on low avidity of IgG towards seasonal corona viruses correlates very well with the frequent reinfection with seasonal corona viruses (30,31). This phenomenon has been particulary determined for OC43 and HKU1. ...
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The humoral immune systems controls viral infections through recognition of critical viral target structures, selective proliferation stimulation of IgM-presenting B cells, class switch to IgG-generating B cells and subsequent affinity maturation of IgG. Affinity maturation is achieved through proliferation, hypermutation and clonal selection of IgG-generating B cells (1-4). The establishment of high affinity IgG is essential for sustained protective antiviral effects (5-10). While analyzing the maturation of functional affinity (avidity) of IgG towards SARS CoV-2 nucleoprotein, surface protein and its receptor-binding domain, we realized that avidity maturation was frequently not completed after infection. This finding gives insight into the biological strategy of SARS CoV-2 and is important for serodiagnosis. Incomplete avidity maturation might explain the observed decline of the humoral response (11-14), allow for secondary SARS CoV-2 infections and prevent the establishment of herd immunity. Therefore, future immunization strategies should achieve the goal to induce neutralizing IgG of high avidity.
... Here, we show that GX-19 induces potent antigen-specific CD4 + and CD8 + T cell activation and robust release of immune-modulatory cytokines in mice and NHPs, indicating that GX-19 can effectively control the disease of SARS-CoV-2. Therefore, clinical cases in which antibody responses rapidly decrease and disappear after SARS-CoV-2 infection indicate the importance of vaccines that can induce long-term immunological memory [48][49][50]. GX-19 induced potent CD4 + and CD8 + T cells in both animal models and it may confer long-lasting immunity against coronaviruses as indicated in SARS survivors, where CD8 + T cell immunity persisted up to 11 years [44,51]. We observed the protective benefits against viral infection about 10 weeks after the last vaccination, along with an elevated antibody response 8 weeks after the last vaccination. ...
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The unprecedented and rapid spread of SARS-CoV-2 (severe acute respiratory syndrome-coronavirus-2) has motivated the need for a rapidly producible and scalable vaccine. Here, we developed a synthetic soluble SARS-CoV-2 spike (S) DNA-based vaccine candidate, GX-19. In mice, immunization with GX-19 elicited not only S-specific systemic and pulmonary antibody responses but also Th1-biased T cell responses in a dose-dependent manner. GX-19-vaccinated nonhuman primates seroconverted rapidly and exhibited a detectable neutralizing antibody response as well as multifunctional CD4+ and CD8+ T cell responses. Notably, when the immunized nonhuman primates were challenged at 10 weeks after the last vaccination with GX-19, they had reduced viral loads in contrast to non-vaccinated primates as a control. These findings indicate that GX-19 vaccination provides a durable protective immune response and also support further development of GX-19 as a vaccine candidate for SARS-CoV-2.
... However, more knowledge on the contribution of neutralizing antibodies to protection against future infections is needed. A study that investigated antibody response and immunity to the well-known seasonal coronaviruses HCoV-NL63, HCoV-229E, HCoV-OC43, and HCoV-HKU1 has shown substantial reduction of antibodies as soon as 6 months post-infection and frequent reinfections 12 months post-infection [22]. Moreover, there is much debate on the possibility of waning immunity, with a growing amount of evidence of a decline in neutralizing antibodies [20,23,24]. ...
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A variety of serological tests have been developed to detect the presence of antibodies against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We evaluated the performance of 18 commercially available SARS-CoV-2 antibody assays. Early (6–8 days after the start of symptoms) and late sera (>14 days) from ICU patients (n=10 and n=16, respectively) and healthcare workers (n=5 and n=9, respectively) were included. Additionally, 22 sera were included to detect potential cross-reactivity. Test characteristics were determined for the 18 assays. In >14 days samples, the Vircell IgG and Wantai Ig ELISAs had superior sensitivity compared to the other ELISAs (96%). Furthermore, the Roche Ig, the Epitope Diagnostics IgM, Wantai IgM, Euroimmun IgG, and IgA all showed a specificity of 100%. The POCTs of Boson Biotech and ACRO Biotech showed the highest sensitivities: 100% and 96% (83.5–99.8), respectively. The POCT of Orient Gene Biotech, VOMED Diagnostics, and Coris-Bioconcept showed highest specificities (100%). For the IgM and IgA assays, the Euroimmun IgA test showed the highest sensitivity in early samples: 46.7% (23.5–70.9) to 53.3% (29.1–76.5). In general, all tests performed better in patients with severe symptoms (ICU patients). We conclude that the Wantai Ig and Vircell IgG ELISAs may be suitable for diagnostic purposes. The IgM/IgA tests performed poorer than their IgG/Ig counterparts but may have a role in diagnoses of SARS-CoV-2 in a population in which the background seroprevalence of IgG high, and IgM and/or IgA may distinguish between acute or past infection.
... COVID-19 can also reoccur after the first infection. It was confirmatively reported that one patient had a re-infection instead of persistent viral shedding from the first infection, by the epidemiological, clinical, serological, and genomic analyses [135]. These results showed that SARS-CoV-2 may continue to circulate among human populations. ...
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Background and Aim: Although constitutional and respiratory symptoms such as cough and fever are the most common symptoms in patients infected with COVID-19, gastrointestinal (GI) tract involvement has been observed by endoscopic biopsies. Multiple GI symptoms, including diarrhea, nausea or vomiting and abdominal pain, have also been reported. This review aims to present the currently available data regarding the GI symptoms of COVID-19 patients, and to compare the frequency of GI symptoms in early stage (Eastern) mostly Chinese data to the current stage (Western) non-Chinese data. Methods: We performed a systematic literature search to identify both published studies by using PubMed, Google Scholar, and CNKI (Chinese medical search engine), and yet unpublished studies through medRxiv and bioRxiv. We also reviewed the cross references of the detected articles. We conducted a Medical Subject Headings (MeSH) search up until 20 September 2020. We pooled the prevalence of symptoms of diarrhea, anorexia, nausea, vomiting, and abdominal pain by using the Freeman-Tukey's transforming random effect model. Results: A total of 118 studies were included in the systematic review and 44 of them were included in the meta-analysis. There was a significant heterogeneity between the studies; therefore, the random effects model was used. The pooled prevalence estimate of any GI symptoms reported was found to be 0.21 (95%CI, 0.16-0.27). Anorexia was the most commonly reported GI symptom at 18% (95%CI, 0.10-0.27) followed by diarrhea at 15% (95%CI, 0.12-0.19). Diarrhea, abdominal pain, nausea/vomiting, and respiratory symptoms were more common in non-Chinese studies. The prevalence of abdominal pain was lower in the "inpatient-only" studies when compared with studies that included outpatients only and those including both inpatients and outpatients. Conclusions: In this comprehensive systematic review and meta-analysis study, we observed higher rates of diarrhea, nausea/vomiting, and abdominal pain in COVID-19 infected patients among non-Chinese studies compared to Chinese studies. We also observed a higher prevalence of GI symptoms in Chinese studies than was reported previously. Non-respiratory symptoms, including GI tract symptoms, should be more thoroughly and carefully evaluated and reported in future studies.
... It should be noted that studying the equilibria of the associated dynamic system and its stability is of crucial importance as it helps in collecting information around the infection dynamics. As immunity to reinfection from COVID-19 lasts in a short time [18] and, the virus can mute and evade the immunity, the SIRS model is suitable to examine the spread of COVID-19. ...
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The novel COVID-19 pandemic is a current, major global health threat. Up till now, there is no fully approved pharmacological treatment or a vaccine. In this study, simple mathematical models were employed to examine the dynamics of transmission and control of COVID-19 taking into consideration social distancing and community awareness. Both situations of homogeneous and nonhomogeneous population were considered. Based on the calculations, a sufficient degree of social distancing based on its reproductive ratio is found to be effective in controlling COVID-19, even in the absence of a vaccine. With a vaccine, social distancing minimizes the sufficient vaccination rate to control the disease. Community awareness also has a great impact in eradicating the virus transmission. The model is simulated on small-world networks and the role of social distancing in controlling the infection is explained.
... It should be noted, the fact that Ab levels are falling does not mean that our immune system is not capable of inducing a protective immune response. Reinfections with seasonal coronaviruses (HCoV-OC43 and HCoV-HKU1) occur in nature, usually within three years [8]. Although the primary infection with SARS-CoV-2 was shown to protect Rhesus macaques from the subsequent challenge [9], demonstration of long-term protection in humans from the same virus will require future studies. ...
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Spike and nucleocapsid proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2-SP, SARS-CoV-2-NP) are the main immunogenic targets for antibodies. We herein demonstrate that the glycosylation of SARS-CoV-2-NP masks some of its antibody epitopes. In many cases, this can lead to false-negative serological tests. Deglycosylation of SARS-CoV-2-NP significantly increased the number of positive tests. The glycosylation pattern analysis of this protein revealed that the putative N-linked glycosylation sites, at the amino acid positions 48 and 270, co-located with two of the main immunodominant B cell epitopes.
... It is noteworthy that human coronaviruses, although less virulent, have been causing seasonal infections, much like influenza, which indicates that either viral mutation enables coronaviruses to evade antibodies and/or antibody-mediated protection is short-lived [5]. Indeed, studies show that reinfection with seasonal coronaviruses occurs frequently, with protective immunity lasting as little as 80 days [6,7]. Similarly, an early study on SARS-CoV-2 reported that some individuals who apparently recovered from laboratory-confirmed COVID-19 have tested positive a second time, an indication of potential reinfection [8,9]. ...
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Despite accumulating preclinical data demonstrating a crucial role of cytotoxic T cell immunity during viral infections, ongoing efforts on developing COVID-19 vaccines are mostly focused on antibodies. In this commentary article, we discuss potential benefits of cytotoxic T cells in providing long-term protection against COVID-19. Further, we propose that gamma-ray irradiation, which is a previously tested inactivation method, may be utilized to prepare an experimental COVID-19 vaccine that can provide balanced immunity involving both B and T cells.
... 58 These coronaviruses do not provide lasting protection as challenge experiments suggest, despite having a detectable Ab. 59 In a recent prospective study, 10 individuals were observed over 35 years (1985--2020) for their antibody responses against N-protein fragment of four different common-cold coronaviruses. 60 Protective immunity was ill-sustained, waned substantially by 6-month postinfection, and frequent reinfections were noticed after 1 year of initial infection. In another study, 59 individuals were experimentally infected with endemic alphacoronavirus 229E and it was found that high Ab titers were generated after 2 weeks but these rapidly declined in the following 11 weeks and by 1 year, the mean Ab titers had reduced further but they were still higher than before the first virus challenge. ...
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The COVID-19 pandemic mandates the development of a safe and effective Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) vaccine. This review analyzes the complexities, challenges, and other vital issues associated with the development of the SARS-CoV-2 vaccine. A brief review of the immune responses (innate, antibody, and T-cell) to SARS-CoV-2, including immune targets, correlates of protection, and duration of immunity is presented. Approaches to vaccine development including different vaccine platforms, critical attributes of novel vaccine candidates, the status of the ongoing clinical trials, and the ways to speed up vaccine development are also reviewed. Despite a historical average success rate of only 6%, and a usual gestation period of 10-12 years for the development of a new vaccine, the world is on the verge of developing COVID-19 vaccines in an extraordinary short time span. ARTICLE HISTORY
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Since the initial identification of the novel coronavirus SARS-CoV-2 in December of 2019, researchers have raced to understand its pathogenesis and begun devising vaccine and treatment strategies. An accurate understanding of the body's temporal immune response against SARS-CoV-2 is paramount to successful vaccine development and disease progression monitoring. To provide insight into the antibody response against SARS-CoV-2, plasma samples from 181 PCR-confirmed COVID-19 patients collected at various time-points post-symptom onset (PSO) were tested for the presence of anti-SARS-CoV-2 IgM and IgG antibodies via lateral flow. Additionally, 21 donors were tracked over time to elucidate patient-specific immune responses. We found sustained levels of anti-SARS-CoV-2 antibodies past 130 days PSO, with 99% positivity observed at 31-60 days PSO. By 61-90 days PSO, the percentage of IgM-/IgG+ results were nearly equal to that of IgM+/IgG+ results, demonstrating a shift in the immune response with a decrease in IgM antibody levels. Results from this study not only provide evidence that the antibody response to COVID-19 can persist for over 4 months, but also demonstrates the ability of Easy Check™ to monitor seroconversion and antibody response of patients. Easy Check was sufficiently sensitive to detect antibodies in patient samples as early as 1-4 days PSO with 86% positivity observed at 5-7 days PSO. Further studies are required to determine the longevity and efficacy of anti-SARS-CoV-2 antibodies, and whether they are protective against re-infection.
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The emergence of coronavirus disease 2019 (COVID-19) is globally a major healthcare threat. There is little information regarding the mechanisms and roles of the humoral response in SARS-CoV-2 infection. The aim of this study was to analyze the antibody levels (IgM and IgG) by chemiluminescence immunoassay in 54 subjects positive to SARS-CoV-2 swab test in relation to their clinical status (whether asymptomatic, pauci-symptomatic or with mild, sever or critical symptoms), the time from the symptom onset, sex, age, and comorbidities. Overall, the presence of comorbidities and the age of subjects were associated with their clinical status. The IgG concentrations were significantly higher in patients who developed critical and severe symptoms and seemed to be independent from age, sex and comorbidities. IgG titers peaked around day 60, and then began gradually to drop, decreasing by approximately 50% on the 180th day, while the IgM titers progressively decreased as early as the tenth day, but they could be detected even at later time points. Despite the small number of individuals, some peculiar characteristics of the humoral response in COVID-19 emerged. We observed a high inter-individual variability, an ephemeral IgG half-life in several patients, and a persistence of IgM in others.
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It is urgent to understand the future of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) transmission. We used estimates of seasonality, immunity, and cross-immunity for betacoronaviruses OC43 and HKU1 from time series data from the USA to inform a model of SARS-CoV-2 transmission. We projected that recurrent wintertime outbreaks of SARS-CoV-2 will probably occur after the initial, most severe pandemic wave. Absent other interventions, a key metric for the success of social distancing is whether critical care capacities are exceeded. To avoid this, prolonged or intermittent social distancing may be necessary into 2022. Additional interventions, including expanded critical care capacity and an effective therapeutic, would improve the success of intermittent distancing and hasten the acquisition of herd immunity. Longitudinal serological studies are urgently needed to determine the extent and duration of immunity to SARS-CoV-2. Even in the event of apparent elimination, SARS-CoV-2 surveillance should be maintained since a resurgence in contagion could be possible as late as 2024.
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In 2008, a national human papillonnavirus (HPV) immunization program using a bivalent vaccine against HPV types 16 and 18 was implemented in Scotland along with a national surveillance program designed to determine the longitudinal effects of vaccination on HPV infection at the population level. Each year during 2009-2013, the surveillance program conducted HPV testing on a proportion of liquid-based cytology samples from women undergoing their first cervical screening test for precancerous cervical disease. By linking vaccination, cervical screening, and HPV testing data, over the study period we found a decline in HPV types 16 and 18, significant decreases in HPV types 31, 33, and 45 (suggesting cross-protection), and a nonsignificant increase in HPV 51. In addition, among nonvaccinated women, HPV types 16 and 18 infections were significantly lower in 2013 than in 2009. Our results preliminarily indicate herd immunity and sustained effectiveness of the bivalent vaccine on virologic outcomes at the population level.
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Non-severe acute respiratory syndrome (non-SARS)-related human coronaviruses (HCoVs), including HCoV-229E, -HKU1, -NL63, and -OC43, have been detected in respiratory tract samples from children and adults. However, the natural prevalence of antibodies against these viruses in serum among population is unknown. To measure antibodies to the spike (S) protein of the four common non-SARS HCoVs, recombinant S proteins of the four HCoVs were expressed and characterised in 293 T cell. An S-protein-based indirect immunofluorescence assay (IFA) was then developed to detect anti-S IgG and IgM for the four individual HCoVs and applied to serum samples from a general asymptomatic population (218 children and 576 adults) in Beijing. Of 794 blood samples tested, only 29 (3.65%) were negative for anti-S IgG. The seropositivity of the four anti-S IgG antibodies was >70% within the general population. The majority of seroconversions to four-HCoV positivity first occurred in children. Both S-IgG and S-IgM antibodies were detectable among children and increased with age, reaching a plateau at 6 years of age. However, no anti-S IgM was detected in healthy adults. Large proportions of children and adults in Beijing have evidence of anti-S IgG against four the HCoVs, and first infections by all four non-SARS HCoVs takes place during childhood.
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Seasonal influenza is a significant public health concern in the United States and globally. While influenza vaccines are the single most effective intervention to reduce influenza morbidity and mortality, there is considerable debate surrounding the merits and consequences of repeated seasonal vaccination. Here, we describe a two-season influenza epidemic contact network model and use it to demonstrate that increasing the level of continuity in vaccination across seasons reduces the burden on public health. We show that revaccination reduces the influenza attack rate not only because it reduces the overall number of susceptible individuals, but also because it better protects highly-connected individuals, who would otherwise make a disproportionately large contribution to influenza transmission. Our work thus contributes a population-level perspective to debates about the merits of repeated influenza vaccination and advocates for public health policy to incorporate individual vaccine histories.
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Human coronavirus 229E has been identified in the mid-1960s, yet still only one full-genome sequence is available. This full-length sequence has been determined from the cDNA-clone Inf-1 that is based on the lab-adapted strain VR-740. Lab-adaptation might have resulted in genomic changes, due to insufficient pressure to maintain gene integrity of non-essential genes. We present here the first full-length genome sequence of two clinical isolates. Each encoded gene was compared to Inf-1. In general, little sequence changes were noted, most could be attributed to genetic drift, since the clinical isolates originate from 2009 to 2010 and VR740 from 1962. Hot spots of substitutions were situated in the S1 region of the Spike, the nucleocapsid gene, and the non-structural protein 3 gene, whereas several deletions were detected in the 3'UTR. Most notable was the difference in genome organization: instead of an ORF4A and ORF4B, an intact ORF4 was present in clinical isolates.
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Although human coronavirus OC43-OC43 (HCoV-OC43) is the coronavirus most commonly associated with human infections, little is known about its molecular epidemiology and evolution. We conducted a molecular epidemiology study to investigate different genotypes and potential recombination in HCoV-OC43. Twenty-nine HCoV-OC43 strains from nasopharyngeal aspirates, collected from 2004 to 2011, were subjected to RNA-dependent RNA polymerase (RdRp), spike, and nucleocapsid gene analysis. Phylogenetic analysis showed at least three distinct clusters of HCoV-OC43, although 10 unusual strains displayed incongruent phylogenetic positions between RdRp and spike genes. This suggested the presence of four HCoV-OC43 genotypes (A to D), with genotype D most likely arising from recombination. The complete genome sequencing of two genotype C and D strains and bootscan analysis showed recombination events between genotypes B and C in the generation of genotype D. Of the 29 strains, none belonged to the more ancient genotype A, 5 from 2004 belonged to genotype B, 15 from 2004 to 2006 belonged to genotype C, and 1 from 2004 and all 8 from 2008 to 2011 belonged to the recombinant genotype D. Molecular clock analysis using spike and nucleocapsid genes dated the most recent common ancestor of all genotypes to the 1950s, genotype B and C to the 1980s, genotype B to the 1990s, and genotype C to the late 1990s to early 2000s, while the recombinant genotype D strains were detected as early as 2004. This represents the first study to describe natural recombination in HCoV-OC43 and the evolution of different genotypes over time, leading to the emergence of novel genotype D, which is associated with pneumonia in our elderly population.
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Background: Since December 2019, novel coronavirus (SARS-CoV-2)-infected pneumonia (COVID-19) occurred in Wuhan, and rapidly spread throughout China. This study aimed to clarify the characteristics of patients with refractory COVID-19. Methods: In this retrospective single-center study, we included 155 consecutive patients with confirmed COVID-19 in Zhongnan Hospital of Wuhan University from January 1st to February 5th. The cases were divided into general and refractory COVID-19 groups according to the clinical efficacy after hospitalization, and the difference between groups were compared. Results: Compared with general COVID-19 patients (45.2%), refractory patients had an older age, male sex, more underlying comorbidities, lower incidence of fever, higher levels of maximum temperature among fever cases, higher incidence of breath shortness and anorexia, severer disease assessment on admission, high levels of neutrophil, aspartate aminotransferase (AST), lactate dehydrogenase (LDH) and C-reactive protein, lower levels of platelets and albumin, and higher incidence of bilateral pneumonia and pleural effusion (P<0.05). Refractory COVID-19 patients were more likely to receive oxygen, mechanical ventilation, expectorant, and adjunctive treatment including corticosteroid, antiviral drugs and immune enhancer (P<0.05). After adjustment, those with refractory COVID-19 were also more likely to have a male sex and manifestations of anorexia and fever on admission, and receive oxygen, expectorant and adjunctive agents (P<0.05) when considering the factors of disease severity on admission, mechanical ventilation, and ICU transfer. Conclusion: Nearly 50% COVID-19 patients could not reach obvious clinical and radiological remission within 10 days after hospitalization. The patients with male sex, anorexia and no fever on admission predicted poor efficacy.
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Objectives: We investigated changes in incidence rates of HIV and sexually transmitted infections (STI) and trends in sexual behavior in MSM from 2009-2017. Design: Open prospective cohort study. Methods: HIV-negative MSM enrolled in the Amsterdam Cohort Studies were included. Participants semiannually completed a questionnaire on sexual behavior and were tested for HIV-1, syphilis, and urethral, anal and pharyngeal chlamydia and gonorrhea. Time trends in incidence rates were analyzed using exponential survival models. Results: During follow-up, 42 of 905 MSM acquired HIV. The HIV incidence rate was 1.9/100 person-years (PY) (95%-confidence interval (CI) 1.0-3.7) in 2009 and decreased to 0.5/100 PY (95%-CI 0.2-1.4) in 2017 (p = 0.03). The largest decrease was observed in participants aged ≥35 years (p = 0.005), while the trend remained stable in 18-34 year olds (p = 0.4). The incidence rate for any bacterial STI was 16.8/100 PY (95%-CI 13.4-21.0) in 2010, and increased to 33.1/100 PY (95%-CI 29.0-37.9) in 2017 (p < 0.001). Between 2009-2017, the percentage reporting condomless anal sex (CAS) with casual partners increased from 26.9% to 39.4% (p < 0.001), and the mean number of casual partners from 8 (95%-CI 8-8) to 11 (95%-CI 10-11) (p = 0.05). CAS with steady partner(s) remained stable over time (p = 0.5). Conclusions: Among MSM in Amsterdam, incidence rates of HIV versus other STI show diverging trends. The increase in STI incidence coincides with a decrease in condom use with casual partners. The decrease in HIV incidence, despite increased sexual risk behavior, suggests that other HIV prevention methods have been successful in reducing HIV transmission among MSM.
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A high seroprevalence of hepatitis A virus (81%) among HIV negative high risk men who have sex with men is likely why this community was largely spared from a recent HAV outbreak in San Diego, CA.
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It is unknown to what extent the human coronaviruses (HCoVs) OC43, HKU1, 229E and NL63 infect healthy children. Frequencies of infections are only known for hospitalized children. Comparing infection frequencies in children who have mild infections with frequencies in children needing hospital uptake will determine whether infection by one of the four HCoVs leads to more severe disease. In addition, the sequence of seroconversions can reveal whether infection by one HCoV protects from infection by other HCoVs. Two distinct study groups were monitored: healthy children and children hospitalized due to respiratory infection. HCoV natural infection rates in healthy children were obtained by serology in 25 newborns (followed 0-20months). The frequencies of severe HCoVs infection was determined by real time RT-PCR among 1471 hospitalized infants (<2-years old) with acute respiratory tract disease. The majority of healthy children seroconverted for HCoV-OC43 (n=19) and HCoV-NL63 (n=17), less for HCoV-HKU1 (n=9) and HCoV-229E (n=5). Notably, HCoV-HKU1 seroconversion was absent after HCoV-OC43 infection. Also HCoV-229E infection was rarely observed after HCoV-NL63 infection (1 out of 5). In the hospital 207 (14%) out of 1471 children were HCoV positive. Again we observed most infection by HCoV-OC43 (n=85) and HCoV-NL63 (n=60), followed by HCoV-HKU1 (n=47) and HCoV-229E (n=15). HCoV-NL63 and HCoV-OC43 infections occur frequently in early childhood, more often than HCoV-HKU1 or HCoV-229E infections. HCoV-OC43 and HCoV-NL63 may elicit immunity that protects from subsequent HCoV-HKU1 and HCoV-229E infection, respectively, which would explain why HCoV-OC43 and HCoV-NL63 are the most frequently infecting HCoVs. There are no indications that infection by one of the HCoVs is more pathogenic than others.