,,ii #aag? ,,congress #a/ ,session ,s4 #eab ,,9 ,,! ,,s5ate ,,( ,,! ,,unit$ ,,/ates ,m>* #a1 #bjba ,ms4 ,w>r5 7= h]self1 ,ms4 ,baldw91 ,mr4 ,blum5?al1 ,mr4 ,book]1 ,mr4 ,ka9e1 ,ms4 ,klobu*>1 ,mr4 ,m>key1 ,mr4 ,m]kley1 ,ms4 ,ros51 ,ms4 ,/ab5[1 ,mr4 ,van ,holl51 & ,mr4 ,wyd57 introduc$ ! foll[+ bill2 :i* 0 read twice & ref]r$ to ! ,committee on ,heal?1 ,education1 ,labor1 & ,p5sions ,a ,,bill ,to require ! ,c5t]s = ,disease ,control & ,prev5tion to collect & report c]ta9 data conc]n+ ,,covid-#ai4 #a4 ,%ort title ,?is ,act may be cit$ z ! ,equitable ,data ,collection & ,disclosure on ,,covid-#ai ,act ( #bjba4 #b4 ,f9d+s ,congress makes ! foll[+ f9d+s3 7#a7 ,! ,_w ,heal? ,organization 7,,:o7 decl>$ ,,covid-#ai a ,public ,heal? ,em]g5cy ( ,int]national ,conc]n on ,janu>y #cj1 #bjbj4 ,by late ,janu>y #bjba1 !re h be5 ov] #bb1jjj1jjj confirm$ cases (1 & #chc1cea dea?s associat$ )1 ,,covid-#ai 9 ! ,unit$ ,/ates4 7#b7 ,f ! beg9n+ ( ?is p&emic1 ,black1 ,br[n1 & ,am]ican ,indian_/,alaska ,native 79 ?is section ref]r$ to z ,,ai_/,,an7 p 9 ! ,unit$ ,/ates h suff]$ ! l>ge/ burd5 ( illness1 hospitalization1 & dea? f ,,covid-#ai4 ,! ,c5t]s = ,disease ,control & ,prev5tion 7,,cdc7 reports t ,,ai_/,,an p are #d times z likely z ,:ite p to be hospitaliz$ = ,,covid-#ai1 & t ,black & ,hispanic_/,lat9o p are #b4h times z likely to die ( ,,covid-#ai z ,:ite p4 7#c7 ,hi/orically1 /ructures & sy/ems su* z racism1 ableism1 & class oppression h r5d]$ affect$ ,black & ,br[n communities m vuln]able to inequities & h prev5t$ p f a*iev+ optimal heal? ev5 :5 !re is n a crisis ( p&emic proportions1 highlight+ t racism & n race pres5ts z a risk factor driv+ inequities 9 illness & dea?4 7#d7 ,significant diff]5ces 9 access to heal? c>e1 specifically to prim>y heal? c>e provid]s1 heal? c>e in=mation1 & great] p]ceiv$ discrim9ation 9 heal? c>e place ,black1 ,br[n1 & ,,ai_/,,an communities1 individuals ) disabilities1 & ,limit$ ,engli% ,pr(ici5t individuals at great] risk ( receiv+ delay$1 & p]haps poor]1 heal? c>e4 7#e7 ,/>k racial inequities across ! ,unit$ ,/ates1 includ+ unequal access to /able h\s+1 quality education1 & dec5t employm5t1 significantly impact ! ability ( ,black1 ,hispanic_/,lat9x1 & ,,ai_/,,an individuals to take c>e ( _! mo/ basic heal? ne$s4 ,black & ,br[n communities are m likely to exp]i5ce homelessness & /ruggle ) l[-pay+ jobs or unemploym5t4 ,an analysis by ! ,univ]sity ( ,new ,hamp%ire f\nd t 9 e mon? betwe5 ,m>* & ,augu/ #bjbj1 ,black & ,lat9o work]s _h significantly high] unemploym5t rates ?an ,:ite work]s1 ev5 aft] adju/+ = age & education /atus4 7#f7 ,black1 ,hispanic_/,lat9x1 & ,,ai_/,,an communities exp]i5ce high] rates ( *ronic disease & disabilities1 su* z diabetes1 hyp]t5sion1 & a/hma1 ?an non-,hispanic ,:ite communities1 :i* pr$isposes !m to great] risk ( complications & mortality %\ld !y contract ,,covid-#ai4 7#g7 ,rese>* exp]ts recognize t !re are und]ly+ diff]5ces 9 illness & dea? :5 ea* ( ^! factors is exam9$ ?r\gh socioeconomic & racial or e?nic l5ses4 ,^! socially det]m9ant factors ( heal? accel]ate disease & degradation4 7#h7 ,language b>ri]s are highly correlat$ ) m$ication noncompliance & inconsi/5t engagem5t ) heal? sy/ems4 ,)\t language accessibility data & rese>* ar\nd ,,covid-#ai1 communities ) limit$ ,engli% pr(ici5cy are less likely to receive critical te/+ & prev5tive heal? s]vices4 ,yet1 to date1 ! ,c5t]s = ,disease ,control & ,prev5tion does n dissem9ate ,,covid-#ai messag+ 9 critical languages1 includ+ ,m&>9 ,*9ese1 ,spani%1 & ,korean )9 ! same timeframe z in=mation 9 ,engli% despite requirem5ts to ensure limit$ ,engli% pr(ici5t populations are n discrim9at$ aga9/ "u title ,,vi ( ! ,civil ,rights ,act ( #aifd & subsequ5t laws & ,f$]al policies4 7#i7 ,fur!r1 x is critical to disaggregate data fur!r by ance/ry to address disp>ities among ,asian ,am]ican1 ,native ,hawaiian1 & ,pacific ,isl&] gr\ps4 ,accord+ to ! ,national ,equity ,atlas1 :ile #ac p]c5t ( ! ,asian population ov]all liv$ 9 pov]ty 9 #bjae1 #ci p]c5t ( ,burmese p1 #bi p]c5t ( ,hmong p1 & #ba p]c5t ( ,pacific ,isl&]s liv$ 9 pov]ty4 7#aj7 ,utiliz+ disaggregation ( enrollm5t 9 ,af=dable ,c>e ,act-sponsor$ heal? insurance1 ! ,asian & ,pacific ,isl&] ,am]ican ,heal? ,=um f\nd t prior to ! passage ( ! ,pati5t ,protection & ,af=dable ,c>e ,act 7,public ,law #aaa-adh71 ,korean ,am]icans _h a high un9sur$ rate ( #bc p]c5t1 comp>$ to j #ab p]c5t = all ,asian ,am]icans4 ,develop+ t>get$ outrea* ef=ts assi/$ #a1jjj1jjj p & result$ 9 a #ef p]c5t decrease 9 ! un9sur$ among ! ,asian1 ,native ,hawaiian1 & ,pacific ,isl&] population4 ,su* ef=ts %[ t disaggregat$ data is ess5tial to public heal? mobilizations ef=ts4 7#aa7 ,)\t cle> und]/&+ ( h[ ,,covid-#ai impacts m>g9aliz$ racial & e?nic communities1 !re w be exac]bat$ risk ( endang]+ ! mo/ hi/orically vuln]able ( our ,nation4 ,a rec5t national /udy f\nd t ,am]ican ,indian_/,alaska ,natives 7 #c4e times m likely to be infect$ ) ,,covid-#ai1 h[ev] t data exclud$ #bg ,/ates z !y _h report$ less ?an #gj p]c5t ( race_/e?nicity data to ! ,c5t]s = ,disease ,control & ,prev5tion mak+ x impossible to include !m 9 ! analysis ?us creat+ a significant data gap = und]/&+ ! impact ( ,,covid-#ai on ?is vuln]able population4 7#ab7 ,! consequ5ces ( misund]/&+ ! racial & e?nic impact ( ,,covid-#ai exp\nd beyond communities ( color su* t x w\ld impact all4 7#ac7 ,race & e?nicity are valuable rese>* & practice v>iables :5 us$ & int]pret$ appropriately4 ,heal? data collect$ on pati5ts by race & e?nicity w boo/ & m effici5tly direct critical res\rces & in=m risk communication developm5t 9 languages & at appropriate heal? lit]acy levels1 :i* resonate ) hi/orically vuln]able communities ( color4 7#ad7 ,to date1 race & e?nicity data on ,,covid-#ai cases1 te/1 hospitalizations1 dea?s1 & vacc9ations is incomplete & lack+4 ,! inconsi/5cy ( data collection by ,f$]al1 ,/ate1 & local heal? au?orities poses a ?reat to analysis & syn!sis ( ! p&emic impact on ,black1 ,hispanic_/,lat9x1 & ,,ai_/,,an communities4 ,h[ev]1 rese>* & m$ical exp]ts ( ,hi/orically ,black ,colleges & ,univ]sities & ,tribal ,colleges & ,univ]sities1 academic heal? c>e in/itutions :i* are hi/orically & geographically emb$d$ 9 m9oritiz$ & m>g9aliz$ communities1 g5]ally also possess rapport ) ! communities !y s]ve4 ,!y are well-position$1 z tru/$ ?\ght lead]s & heal? c>e s]vice provid]s1 to collect data & conduct rese>* t[>d creat+ holi/ic solutions to rem$y ! inequitable impact ( ?is & future public heal? crises4 7#ae7 ,well-design$1 e?ically s\nd rese>* aligns ) ! goals ( m$ic9e1 addresses que/ions relevant to ! population among :om ! /udy w be c>ri$ out1 balances ! pot5tial = b5efit aga9/ ! pot5tial = h>m1 employs /udy designs t w yield sci5tifically valid & significant data1 & g5]ates useful k4 7#af7 ,! de>? ( racially & e?nically disaggregat$ data reflect+ ! heal? ( ,black1 ,hispanic_/,lat9x1 & ,,ai_/,,an communities und]lies ! *all5ges ( a fully in=m$ public heal? response4 7#ag7 ,)\t collect+ race & e?nicity data associat$ ) ,,covid-#ai vacc9ations1 te/+1 hospitalizations1 morbidities1 & mortalities1 z well z publicly disclos+ x1 ,black1 ,hispanic_/,lat9x1 & ,,ai_/,,an communities w rema9 at great] risk ( disease & dea?4 #c4 ,em]g5cy fund+ = ,f$]al data collection on ! racial1 e?nic1 & o!r demographic disp>ities ( ,,covid-#ai ,to conduct or support data collection on ! racial1 e?nic1 & o!r demographic implications ( ,,covid-#ai 9 ! ,unit$ ,/ates & its t]ritories1 includ+ support to assi/ 9 ! capacity build+ = ,/ate & local public heal? dep>tm5ts to collect & transmit racial1 e?nic1 & o!r demographic data to ! relevant ,dep>tm5t ( ,heal? & ,human ,s]vices ag5cies1 !re is au?oriz$ to be appropriat$-- 7#a7 to ! ,c5t]s = ,disease ,control & ,prev5tion1 #ab1jjj1jjj2 7#b7 to ,/ate & t]ritorial public heal? ag5cies1 di/ribut$ proportionally bas$ on ! total population ( _! resid5ts :o are enroll$ 9 ,m$icaid or :o h no heal? insurance1 #ae1jjj1jjj2 7#c7 to ! ,indian ,heal? ,s]vice1 ,indian ,tribes & ,tribal organizations 7z def9$ 9 section #d ( ! ,indian ,self-,det]m9ation & ,education ,assi/ance ,act71 & urban ,indian organizations 7z def9$ 9 section #d ( ! ,indian ,heal? ,c>e ,improvem5t ,act71 #c1jjj1jjj2 7#d7 to ! ,c5t]s = ,m$ic>e ,m$icaid ,s]vices1 #e1jjj1jjj2 7#e7 to ! ,food & ,drug ,adm9i/ration1 #e1jjj1jjj2 7#f7 to ! ,ag5cy = ,heal?c>e ,rese>* & ,quality1 #e1jjj1jjj2 & 7#g7 to ! ,(fice ( ! ,national ,coord9ator = ,heal? ,in=mation ,te*nology1 #e1jjj1jjj4 #d4 ,,covid-#ai data collection & disclosure 7a7 ,data collection ,! ,secret>y ( ,heal? & ,human ,s]vices 7ref]r$ to 9 ?is ,act z ! ,secret>y71 act+ ?r\gh ! ,director ( ! ,c5t]s = ,disease ,control & ,prev5tion & ! ,adm9i/rator ( ! ,c5t]s = ,m$ic>e ,m$icaid ,s]vices1 %all make publicly available on ! website ( ! ,c5t]s = ,disease ,control & ,prev5tion data collect$ across all surveillance sy/ems relat+ to ,,covid-#ai1 disaggregat$ by race1 e?nicity1 sex1 age1 prim>y language1 socioeconomic /atus1 disability /atus1 & c\nty1 includ+ ! foll[+3 7#a7 ,data relat$ to all ,,covid-#ai te/+1 includ+ ! numb] ( individuals te/$ & ! numb] ( te/s t 7 positive4 7#b7 ,data relat$ to treatm5t = ,,covid-#ai1 includ+ hospitalizations & int5sive c>e unit admissions4 7#c7 ,data relat$ to ,,covid-#ai outcomes1 includ+ total fatalities & case fatality rates 7express$ z ! proportion ( individuals :o 7 infect$ ) ,,covid-#ai & di$ f ! virus74 7#d7 ,data relat$ to ,,covid-#ai vacc9ations1 includ+-- 7,a7 ! numb] ( vacc9es adm9i/]$2 7,b7 ! numb] ( vacc9ations (f]$1 accept$1 & refus$2 7,c7 ! mo/ common reasons = refusal2 & 7,d7 ! p]c5tage ( vacc9e doses allocat$ & adm9i/]$ to ea* priority gr\p4 7b7 ,application ( /&>ds ,to ! ext5t practicable1 data collection "u ?is section %all foll[ /&>ds develop$ by ! ,dep>tm5t ( ,heal? & ,human ,s]vices ,(fice ( ,m9ority ,heal? & be collect$1 analyz$1 & report$ 9 accordance ) ! /&>ds promulgat$ by ! ,assi/ant ,secret>y = ,plann+ & ,evaluation "u title ,,xxxi ( ! ,public ,heal? ,s]vice ,act 7#db ,u4,s4,c4 #cjjkk et seq474 7c7 ,timel9e ,! data made available "u ?is section %all be updat$ on a daily basis ?r\gh\t ! public heal? em]g5cy4 7d7 ,privacy ,9 publi%+ data "u ?is section1 ! ,secret>y %all take all necess>y /eps to protect ! privacy ( individuals ^: in=mation is includ$ 9 su* data1 includ+-- 7#a7 comply+ ) privacy protections provid$ "u ! regulations promulgat$ "u section #bfd7;c7 ( ! ,heal? ,insurance ,portability & ,acc\ntability ,act ( #aiif2 & 7#b7 protections f all inappropriate int]nal use by an entity t collects1 /ores1 or receives ! data1 includ+ use ( su* data 9 det]m9ations ( eligibility 7or cont9u$ eligibility7 9 heal? plans1 & f inappropriate uses4 7e7 ,indian ,heal? ,s]vice ,! ,indian ,heal? ,s]vice %all consult ) ,indian ,tribes & conf] ) urban ,indian organizations on data collection & report+ = purposes ( ?is ,act4 7f7 ,summ>y ,n lat] ?an #fj days aft] ! date on :i* ! ,secret>y c]tifies t ! public heal? em]g5cy relat$ to ,,covid-#ai has end$1 ! ,secret>y %all make publicly available a summ>y ( ! f9al /ati/ics relat$ to ,,covid-#ai4 7g7 ,report ,n lat] ?an #fj days aft] ! date on :i* ! ,secret>y c]tifies t ! public heal? em]g5cy relat$ to ,,covid-#ai has end$1 ! ,dep>tm5t ( ,heal? & ,human ,s]vices %all compile & submit to ! ,committee on ,heal?1 ,education1 ,labor1 & ,p5sions & ! ,committee on ,f9ance ( ! ,s5ate & ! ,committee on ,en]gy & ,comm]ce & ! ,committee on ,ways & ,means ( ! ,h\se ( ,repres5tatives a prelim9>y report-- 7#a7 describ+ ! te/+1 hospitalization1 mortality rates1 vacc9ation rates1 & pref]r$ language ( pati5ts associat$ ) ,,covid-#ai by race & e?nicity2 & 7#b7 propos+ evid5c$-bas$ response /rategies to safegu>d ! heal? ( ^! communities 9 future p&emics4 7h7 ,tribal exception ,indian ,tribes may opt out ( any ( ! requirem5ts ( ?is section4 #e4 ,commission on ensur+ data = hea? equity 7a7 ,9 g5]al ,n lat] ?an #cj days aft] ! date ( enactm5t ( ?is ,act1 ! ,secret>y %all e/abli% a commission1 to be kn[n z ! ,commission on ,ensur+ ,data = ,hea? ,equity 7ref]r$ to 9 ?is section z ! ,commission7 to provide cle> & robu/ guidance on h[ to improve ! collection1 analysis1 & use ( demographic data 9 respond+ to future public heal? em]g5cies4 7b7 ,memb]%ip & *airp]son 7#a7 ,memb]%ip ,! ,commission %all be compos$ (-- 7,a7 ! ,director ( ! ,c5t]s = ,disease ,control & ,prev5tion2 7,b7 ! ,director ( ! ,national ,in/itutes ( ,heal?2 7,c7 ! ,commission] ( ,food & ,drugs2 7,d7 ! ,adm9i/rator ( ! ,f$]al ,em]g5cy ,managem5t ,ag5cy2 7,e7 ! ,director ( ! ,national ,in/itute on ,m9ority ,heal? & ,heal? ,disp>ities2 7,f7 ! ,director ( ! ,indian ,heal? ,s]vice2 7,g7 ! ,adm9i/rator ( ! ,c5t]s = ,m$ic>e ,m$icaid ,s]vices2 7,h7 ! ,director ( ! ,ag5cy = ,heal?c>e ,rese>* & ,quality2 7,i7 ! ,surgeon ,g5]al2 7,j7 ! ,adm9i/rator ( ! ,heal? ,res\rces & ,s]vices ,adm9i/ration2 7,k7 ! ,director ( ! ,(fice ( ,m9ority ,heal?2 7,l7 ! ,director ( ! ,(fice ( ,wom5's ,heal?2 7,m7 ! ,*airp]son ( ! ,national ,c\ncil on ,disability2 7,n7 at lea/ #d ,/ate1 local1 t]ritorial1 & ,tribal public heal? (ficials repres5t+ dep>tm5ts ( public heal?1 or an urban ,indian heal? repres5tative1 :o %all repres5t jurisdictions f diff]5t regions ( ! ,unit$ ,/ates ) relatively high conc5trations ( hi/orically m>g9aliz$ populations1 to be appo9t$ by ! ,secret>y2 & 7,o7 at lea/ #c indep5d5t exp]ts ( racially & e?nically div]se repres5tation ) k or field exp]i5ce ) racial & e?nic disp>ities 9 public heal? appo9t$ by ! ,secret>y4 7#b7 ,*airp]son ,! ,presid5t ( ! ,national ,academies ( ,sci5ces1 ,eng9e]+1 & ,m$ic9e1 or designee1 %all s]ve z ! *airp]son ( ! ,commission4 7c7 ,duties ,! ,commission %all-- 7#a7 exam9e b>ri]s to collect+1 analyz+1 & us+ demographic data2 7#b7 det]m9e h[ to be/ use su* data to promote heal? equity across ! ,unit$ ,/ates & r$uce racial1 ,tribal1 & o!r demographic disp>ities 9 heal? outcomes2 7#c7 ga!r available data relat$ to treatm5t ( individuals ) disabilities dur+ ! ,,covid-#ai p&emic & o!r public heal? em]g5cies1 includ+ access to vacc9ations1 d5ial ( treatm5t = pre-exi/+ conditions1 removal or d5ial ( disability relat$ equipm5t 7includ+ v5tilators & ,,cpap ma*9es71 & data on completion ( ,,dnr ord]s1 & id5tify b>ri]s to obta9+ accurate & timely data relat$ to treatm5t ( su* individuals2 7#d7 solicit input f public heal? (ficials1 community-connect$ organizations1 heal? c>e provid]s1 ,/ate & local ag5cy (ficials1 ,tribal (ficials1 & o!r exp]ts on b>ri]s to1 & be/ practices =1 collect+ demographic data2 & 7#e7 recomm5d policy *anges t ! data indicates are necess>y to r$uce disp>ities4 7d7 ,report ,n lat] ?an #a ye> aft] ! date ( enactm5t ( ?is ,act1 ! ,commission %all submit a writt5 report ( its f9d+s & recomm5dations to ,congress & po/ su* report on ! website ( ! ,dep>tm5t ( ,heal? & ,human ,s]vices4 ,su* reports %all conta9 in=mation conc]n+-- 7#a7 h[ to enhance ,/ate1 local1 t]ritorial1 & ,tribal capacity to conduct public heal? rese>* on ,,covid-#ai & 9 future public heal? em]g5cies1 ) a focus on exp&$ capacity to analyze data on disp>ities correlat$ ) race1 e?nicity1 income1 sex1 age1 disability /atus1 specific geographic areas1 & o!r relevant demographic *>act]i/ics1 & an analysis ( :at demographic data is curr5tly be+ collect$1 ! accuracy ( t data & any gaps1 h[ ?is data is curr5tly be+ us$ to in=m ef=ts to combat ,,covid-#ai1 & :at res\rces are ne$$ to supplem5t exi/+ public heal? data collection2 7#b7 h[ to collect1 process1 & disclose to ! public ! data describ$ 9 p>agraph 7#a7 9 a way t ma9ta9s individual privacy :ile help+ direct ! ,/ate1 local1 & ,tribal response to public heal? em]g5cies2 7#c7 h[ to improve demographic data collection relat$ to ,,covid-#ai & o!r public heal? em]g5cies 9 ! %ort- & long-t]m1 includ+ h[ to cont9ue to gr[ & value ! ,tribal sov]eignty ( data & in=mation conc]n+ urban & rural ,tribal communities2 7#d7 to ! ext5t possible1 an analysis ( racial & o!r demographic disp>ities 9 ,,covid-#ai mortality1 includ+ an analysis ( comorbidities & case fatality rates2 7#e7 to ! ext5t possible1 an analysis ( sex1 g5d]1 sexual ori5tation1 & g5d] id5tity disp>ities 9 ,,covid-#ai treatm5t & mortality2 7#f7 an analysis ( ,,covid-#ai treatm5t ( individuals ) disabilities1 includ+ equity ( access to treatm5t & equipm5t & int]sections ( disability /atus ) o!r demographic factors1 includ+ race1 & recomm5dations = h[ to improve transp>5cy & equity ( treatm5t = su* individuals dur+ ! ,,covid-#ai public heal? em]g5cy & future em]g5cies2 7#g7 h[ to support ,/ate1 local1 & ,tribal capacity to elim9ate b>ri]s to vacc9ations1 te/+1 & treatm5t dur+ ! ,,covid-#ai p&emic & future public heal? em]g5cies2 & 7#h7 to ! ext5t possible1 an analysis ( ,f$]al ,gov]nm5t policies t disp>ately exac]bate ! ,,covid-#ai impact1 & recomm5dations to improve racial & o!r demographic disp>ities 9 heal? outcomes4 7e7 ,au?orization ( appropriations ,!re is au?oriz$ to be appropriat$ su* sums z may be necess>y to c>ry out ?is section4