,,iv  #aaf? ,,congress  #b;d ,session   
,h4 ,,res4 #ajhd  ,,9 ,,! ,,h\se ,,(    
,,repres5tatives  ,augu/ #ad1 #bjbj,mr4 
,s*iff 7= himself1 ,ms4 ,norton1 ,mr4   
,soto1 ,mr4 ,ca/ro ( ,texas1 ,mr4       
,m\lton1 ,mr4 ,mc,govern1 ,mr4 ,?ompson 
( ,cali=nia1 ,ms4 ,lee ( ,cali=nia1 &   
,ms4 ,%]rill7 submitt$ ! foll[+         
resolution2 :i* 0 ref]r$ to ! ,committee
 on ,en]gy & ,comm]ce  ,,resolution     
,express+ support = ! designation (     
,augu/ #g ?r\gh #ad1 #bjbj1 z ,_w ,mask 
,week1 & enc\rag+ all ,am]icans to we>  
appropriate face cov]+s to protect      
!mselves & to protect old] ,am]icans or 
o!rs ) heal? conditions t increase !    
risks ( s]i\s illness due to            
,,covid-#ai4  ,:]eas clo? face cov]+s1  
or nonm$ical masks1 s]ve z a b>ri] to   
,,s>s-,co,v-#b-;c>ry+ droplets1 help+ to
 prev5t ! spread ( ,,covid-#ai & save   
lives2 ,:]eas a sub/antial portion ( p  
infect$ ) ,,s>s-,co,v-#b are            
asymptomatic or presymptomatic & c      
transmit ! virus to o!rs :5 !y d n "k !y

 are infect$2 ,:]eas rese>* conduct$    
long be=e ! ,,covid-#ai p&emic has %[n !
 utility ( we>+ masks 9 provid+         
protection aga9/ ! transmission (       
respiratory infections2 ,:]eas v>i\s    
types ( clo? masks1 includ+ masks made (
 cotton1 gauze1 & o!r fabrics1 r$uc$    
infection rates among heal? c>e work]s &
 o!rs dur+ ! ,spani% ,flu p&emic ( #aiah
 & ! ,man*urian plague ( #aibj ?r\gh    
#aiba1 & 7 us$ by heal? c>e work]s &    
o!rs to protect aga9/ tub]culosis 9 !   
#aicjs & #aidjs2 ,:]eas a model         
projection ( ,,covid-#ai dea?s by !     
,in/itute = ,heal? ,metrics &           
,evaluation at ! ,univ]sity ( ,wa%+ton  
%[$ if #ie p]c5t ( p 9 ! ,unit$ ,/ates  
wore a mask 9 public spaces1 ne>ly      
#cd1jjj few] p w\ld die f ! disease2    
,:]eas1 on ,april #c1 #bjbj1 ! ,c5t]s = 
,disease ,control & ,prev5tion recomm5d$
 all individuals two ye>s ( age & old] &
 m$ically able to we> a mask1 we>       
nonm$ical1 clo? masks 9 public sett+s & 
:5 ar\nd p :o don't live 9 _! h\sehold2 

,:]eas a survey conduct$ by ! ,c5t]s =  
,disease ,control & ,prev5tion f ,may   
#aa ?r\gh ,may #ac1 #bjbj1 f\nd t #gf   
p]c5t ( adults support mask-we>+ outside
 ( ! home2 ,:]eas a /udy publi%$ by !   
,c5t]s = ,disease ,control & ,prev5tion 
on ,july #ag1 #bjbj1 f\nd no second>y   
cases ( ,,covid-#ai 9 #aci mask-we>+    
cli5ts ( two mask-we>+ hair /yli/s )    
confirm$ cases ( ,,covid-#ai2 ,:]eas to 
suppress ,,covid-#ai transmission1 ! ,_w
 ,heal? ,organization advises gov]nm5ts 
to enc\rage ! g5]al public to use       
nonm$ical clo? masks z "p ( a           
compreh5sive disease control /rategy 9  
areas ( widespread transmission2 ,:]eas 
c\ntries 9 ,s\!a/ ,asia ) a /rong       
mask-we>+ culture l ,japan & ! ,republic
 ( ,s\? ,korea h be5 f> m successful 9  
controll+ ,,covid-#ai1 exp]i5c+ few     
cases & l[] mortality levels )\t        
in/itut+ sev]e re/rictions on _!        
populations2 ,:]eas rais+ aw>5ess ab\t !
 effectiv5ess ( ev]yone we>+ clo? masks 
:5 9 public w\ld enc\rage ! adoption (  

mask-we>+1 help to prev5t ! spread (    
,,covid-#ai1 & save lives bo? at home & 
abroad2 ,:]eas "o rec5t economic        
analysis e/imat$ t univ]sal mask+ c\ld  
save five p]c5t ( ,,gdp1 or "o trillion 
doll>s1 by mak+ lockd[ns unnecess>y &   
gett+ p back to "w e>li]2 & ,:]eas !    
,c5t]s = ,disease ,control & ,prev5tion 
& ! ,p&emic ,action ,network are p>tn]+ 
) m ?an #dj organizations to ho/ ,_w    
,mask ,week f ,augu/ #g ?r\gh #ad1      
#bjbj1 9 an ef=t to increase ! use (    
face cov]+s across ! globe3 ,n[1 !re=e1 
be x ,t ! ,h\se ( ,repres5tatives-- 7#a7
 supports ! designation ( ,_w ,mask     
,week2  7#b7 enc\rages ,am]icans to we> 
appropriate face cov]+s 9 situations :]e
 social di/anc+ is difficult or         
impossible1 p>ticul>ly 9 indoor         
environm5ts1 bo? to protect !mselves &  
to protect old] ,am]icans or o!rs )     
heal? conditions t increase ! risks (   
s]i\s illness due to ,,covid-#ai2  7#c7 
recognizes t mask-we>+ %\ld be c\pl$ )  
o!r measures recomm5d$ by ! ,c5t]s =    

,disease ,control & ,prev5tion & ,/ate &
 local public heal? ag5cies1 includ+    
frequ5t h&wa%+ & physical di/anc+1 to   
fur!r r$uce ! risk ( ,,covid-#ai        
transmission2 &  7#d7 enc\rages foll[+ !
 cons5sus advice ( public heal? exp]ts  
to we> face cov]+s to mean+fully r$uce  
transmission rates = ,,covid-#ai1       
result+ 9 few] dea?s1 few] ,am]icans    
made s]i\sly ill1 & l[] economic        
disruption4