﻿The_NP0 Information_NN1 Desert_NN1 
In_PRP a_AT0 crisis_NN1 ,_PUN we_PNP often_AV0 don’t_AJ0 have_VHB time_NN1 to_TO0 wait_VVI for_PRP deep_AJ0 analysis_NN1 ._SENT We’re_NP0 forced_VVD to_TO0 make_VVI the_AT0 most_AV0 effective_AJ0 decisions_NN2 we_PNP can_VM0 on_PRP the_AT0 best_AJS information_NN1 we_PNP have_VHB available_AJ0 at_PRP the_AT0 moment_NN1 ._SENT In_PRP a_AT0 moment_NN1 of_PRF public_AJ0 health_NN1 crisis_NN1 ,_PUN that_DT0 information_NN1 is_VBZ always_AV0 going_VVG to_TO0 turn_VVI on_PRP some_DT0 complement_NN1 of_PRF raw_AJ0 data_NN0 and_CJC conjecture_NN1 ._SENT 
However_AV0 ,_PUN the_AT0 CDC_NP0 isn’t_NN1 in_PRP the_AT0 business_NN1 of_PRF providing_VVG this_DT0 kind_NN1 of_PRF real-time_AJ0 ,_PUN actionable_AJ0 ,_PUN but_CJC often_AV0 notional_AJ0 information_NN1 ._SENT It’s_NP0 counter_NN1 to_PRP the_AT0 agency’s_AJ0 culture_NN1 ._SENT While_CJS the_AT0 CDC_NP0 does_VDZ provide_VVI some_DT0 near-real-time_AJ0 data_NN0 streams_NN2 like_PRP their_DPS flu_NN1 surveillance_NN1 program_NN1 ,_PUN their_DPS best_AJS reporting_NN1 comes_VVZ from_PRP longer-term_AJ0 investigations_NN2 that_CJT are_VBB often_AV0 wrapped_VVN into_PRP their_DPS Morbidity_NN1 and_CJC Mortality_NN1 Weekly_NN1 Reports_NN2 ,_PUN the_AT0 CDC’s_NP0 epidemiological_AJ0 digest_NN1 that_CJT provides_VVZ deep_AJ0 analysis_NN1 of_PRF disease_NN1 trends_NN2 ._SENT 
After_PRP an_AT0 especially_AV0 devastating_AJ0 flu_NN1 epidemic_NN1 struck_VVD the_AT0 US_NP0 in_PRP the_AT0 winter_NN1 of_PRF 2018_CRD ,_PUN it_PNP took_VVD the_AT0 CDC_NP0 a_AT0 year_NN1 to_TO0 establish_VVI just_AV0 how_AVQ deadly_AJ0 it_PNP had_VHD been_VBN ,_PUN and_CJC start_VVB drawing_VVG inferences_NN2 on_PRP why_AVQ it_PNP was_VBD so_AV0 lethal.2_AJ0 I_PNP was_VBD running_VVG the_AT0 FDA_NN1 during_PRP that_DT0 2017_CRD –_PUN 18_CRD flu_NN1 season_NN1 and_CJC ,_PUN during_PRP that_DT0 winter_NN1 ,_PUN I_PNP wanted_VVD to_TO0 share_VVI our_DPS concerns_NN2 with_PRP the_AT0 public_NN1 ,_PUN and_CJC warn_VVB them_PNP about_PRP the_AT0 unusual_AJ0 severity_NN1 of_PRF the_AT0 flu_NN1 ,_PUN and_CJC our_DPS agency’s_AJ0 belief_NN1 that_CJT the_AT0 vaccine_NN1 might_VM0 not_XX0 have_VHI been_VBN protecting_VVG people_NN0 as_CJS well_AV0 as_CJS it_PNP had_VHD in_PRP past_AJ0 years_NN2 ._SENT The_AT0 FDA_NN1 wanted_VVD to_TO0 urge_VVI people_NN0 to_TO0 be_VBI cautious_AJ0 and_CJC take_VVB added_AJ0 precautions_NN2 to_TO0 avoid_VVI infection_NN1 ._SENT 
The_AT0 CDC_NP0 tried_VVD to_TO0 stop_VVI my_DPS communications_NN2 ,_PUN appealing_VVG to_PRP the_AT0 Office_NN1 of_PRF the_AT0 Secretary_NN1 of_PRF Health_NN1 and_CJC Human_AJ0 Services_NN2 to_TO0 intervene_VVI and_CJC block_VVI me_PNP from_PRP issuing_VVG my_DPS warning_NN1 ._SENT The_AT0 CDC_NP0 was_VBD arguing_VVG that_CJT it_PNP ,_PUN and_CJC not_XX0 the_AT0 FDA_NN1 ,_PUN should_VM0 be_VBI commenting_VVG on_PRP the_AT0 severity_NN1 of_PRF the_AT0 flu_NN1 ._SENT They_PNP said_VVD it_PNP was_VBD the_AT0 CDC’s_NP0 job_NN1 to_TO0 discuss_VVI disease_NN1 trends_NN2 with_PRP the_AT0 public_NN1 ,_PUN and_CJC they_PNP weren’t_VVD ready_AJ0 to_TO0 draw_VVI any_DT0 firm_AJ0 conclusions_NN2 about_PRP that_DT0 particular_AJ0 flu_NN1 season_NN1 ._SENT The_AT0 CDC_NP0 was_VBD still_AV0 gathering_VVG and_CJC analyzing_VVG their_DPS data_NN0 ._SENT 
I_PNP released_VVD my_DPS warning_NN1 anyway_AV0 ,_PUN except_CJS that_CJT instead_AV0 of_PRF issuing_VVG it_PNP as_PRP a_AT0 public_AJ0 health_NN1 advisory_AJ0 commenting_VVG on_PRP the_AT0 flu_NN1 season_NN1 ,_PUN I_PNP fashioned_VVD it_PNP as_PRP a_AT0 safety_NN1 update_NN1 on_PRP the_AT0 vaccine_NN1 ._SENT The_AT0 FDA_NN1 regulated_VVD the_AT0 flu_NN1 vaccine_NN1 ,_PUN not_XX0 the_AT0 CDC_NP0 ._SENT The_AT0 CDC_NP0 couldn’t_NN1 stop_VVB me_PNP from_PRP commenting_VVG on_PRP an_AT0 FDA-regulated_AJ0 product_NN1 and_CJC the_AT0 FDA’s_AJ0 belief_NN1 that_CJT the_AT0 vaccine_NN1 might_VM0 not_XX0 be_VBI protecting_VVG patients_NN2 from_PRP flu_NN1 as_CJS well_AV0 as_CJS intended_AJ0 ._SENT 
Because_CJS we_PNP didn’t_VVB know_VVB for_PRP certain_AJ0 the_AT0 reason_NN1 behind_PRP the_AT0 rising_AJ0 death_NN1 and_CJC disease_NN1 from_PRP flu_NN1 ,_PUN and_CJC whether_CJS reduced_AJ0 effectiveness_NN1 of_PRF the_AT0 vaccine_NN1 was_VBD definitely_AV0 the_AT0 culprit_NN1 ,_PUN the_AT0 CDC_NP0 didn’t_NN1 want_VVB to_TO0 say_VVI anything_PNI that_CJT was_VBD potentially_AV0 wrong_AJ0 ._SENT But_CJC at_PRP the_AT0 FDA_NN1 ,_PUN I_PNP wanted_VVD to_TO0 warn_VVI the_AT0 public_NN1 based_VVN on_PRP what_DTQ we_PNP knew_VVD ,_PUN while_CJS explaining_VVG that_CJT we_PNP weren’t_VVB certain_AJ0 ._SENT The_AT0 CDC_NP0 wanted_VVD to_TO0 wait_VVI and_CJC do_VDI more_DT0 investigations_NN2 ._SENT Later_AJC analysis_NN1 would_VM0 show_VVI that_CJT the_AT0 vaccine_NN1 was_VBD only_AV0 about_PRP 25_CRD percent_NN0 effective_AJ0 against_PRP the_AT0 predominant_AJ0 strain_NN1 of_PRF H3N2_CRD influenza_NN1 A_AT0 that_DT0 was_VBD circulating_VVG that_DT0 season_NN1 ._SENT 
It_PNP isn’t_VVD a_AT0 question_NN1 of_PRF competency_NN1 or_CJC public_AJ0 health_NN1 commitment_NN1 ._SENT CDC_NP0 officials_NN2 are_VBB deeply_AV0 devoted_VVN to_PRP their_DPS public_AJ0 health_NN1 mission_NN1 ._SENT It’s_NP0 just_AV0 a_AT0 question_NN1 of_PRF institutional_AJ0 style_NN1 ,_PUN structure_NN1 ,_PUN and_CJC culture_NN1 ._SENT 
The_AT0 CDC’s_NP0 reporting_NN1 is_VBZ reflective_AJ0 and_CJC aims_VVZ to_TO0 provide_VVI definitive_AJ0 analysis_NN1 ._SENT It_PNP isn’t_VVD geared_VVN to_PRP providing_VVG the_AT0 sort_NN1 of_PRF real-time_AJ0 information_NN1 that’s_NN2 often_AV0 early_AJ0 ,_PUN imprecise_AJ0 ,_PUN and_CJC incomplete_AJ0 ,_PUN but_CJC an_AT0 essential_AJ0 currency_NN1 in_PRP helping_VVG inform_VVB policymaking_NN1 in_PRP a_AT0 crisis_NN1 ._SENT The_AT0 CDC’s_NP0 output_NN1 is_VBZ more_AV0 akin_AJ0 to_PRP the_AT0 journal_NN1 articles_NN2 issued_VVN by_PRP an_AT0 academic_AJ0 department_NN1 of_PRF epidemiology_NN1 than_CJS a_AT0 battlefield_NN1 report_NN1 issued_VVN by_PRP the_AT0 Joint_AJ0 Special_AJ0 Operations_NN2 Command_NN1 ._SENT Providing_VVG timelier_NN1 and_CJC more_AV0 actionable_AJ0 reporting_NN1 would_VM0 require_VVI a_AT0 reengineering_NN1 of_PRF the_AT0 CDC’s_NP0 commitments_NN2 ,_PUN capabilities_NN2 ,_PUN and_CJC ethos_NN1 ._SENT 
During_PRP COVID_NP0 ,_PUN the_AT0 general_AJ0 refrain_NN1 ,_PUN quite_AV0 appropriately_AV0 ,_PUN was_VBD that_CJT our_DPS policy_NN1 decisions_NN2 should_VM0 be_VBI guided_VVN by_PRP ,_PUN and_CJC shouldn’t_NN1 get_VVB ahead_AV0 of_PRF ,_PUN the_AT0 science_NN1 ._SENT However_AV0 ,_PUN what_DTQ slowed_VVD action_NN1 ,_PUN and_CJC left_VVD our_DPS decisions_NN2 less_AV0 well_AV0 informed_VVN ,_PUN was_VBD that_CJT this_DT0 common_AJ0 refrain_NN1 is_VBZ actually_AV0 a_AT0 lot_NN1 more_AV0 complex_AJ0 when_CJS applied_VVN to_PRP our_DPS response_NN1 to_PRP COVID_NP0 ._SENT It_PNP wasn’t_VVD the_AT0 scientific_AJ0 data_NN0 that_CJT the_AT0 CDC_NP0 didn’t_NN1 want_VVB policymakers_NN2 to_TO0 ignore_VVI or_CJC second-guess_NN1 ;_PUN it_PNP was_VBD the_AT0 CDC’s_NP0 interpretation_NN1 of_PRF that_DT0 data_NN0 ._SENT 
The_AT0 problem_NN1 was_VBD that_CJT the_AT0 CDC’s_NP0 analysis_NN1 was_VBD never_AV0 timely_AJ0 or_CJC complete_AJ0 ._SENT The_AT0 CDC’s_NP0 edicts_NN2 ,_PUN contained_VVN in_PRP careful_AJ0 journal_NN1 papers_NN2 published_VVN in_PRP the_AT0 Morbidity_NN1 and_CJC Mortality_NN1 Weekly_NN1 Report_NN1 ,_PUN were_VBD often_AV0 thorough_AJ0 ,_PUN data_NN0 driven_VVN ,_PUN well_AV0 researched_VVN ,_PUN and_CJC late_AJ0 ._SENT The_AT0 agency_NN1 issued_VVN recommendations_NN2 on_PRP the_AT0 risk_NN1 of_PRF coronavirus_NN1 transmission_NN1 through_PRP touching_VVG contaminated_AJ0 surfaces_NN2 (_PUL fomites_NN2 )_PUR ,_PUN measures_VVZ to_TO0 improve_VVI safety_NN1 in_PRP schools_NN2 ,_PUN the_AT0 role_NN1 of_PRF respiratory_AJ0 aerosols_NN2 and_CJC droplets_NN2 ,_PUN and_CJC countless_AJ0 other_AJ0 aspects_NN2 of_PRF COVID’s_NP0 pathogenicity_NN1 and_CJC spread_NN1 that_CJT took_VVD many_DT0 months_NN2 to_TO0 generate_VVI ;_PUN and_CJC were_VBD often_AV0 published_VVN long_AV0 after_PRP decisions_NN2 based_VVN on_PRP these_DT0 important_AJ0 parameters_NN2 had_VHD to_TO0 be_VBI made_VVN by_PRP patients_NN2 ,_PUN providers_NN2 ,_PUN and_CJC policymakers_NN2 ._SENT 
The_AT0 resulting_AJ0 information_NN1 desert_NN1 that_CJT plagued_VVD real-time_AJ0 decision_NN1 making_VVG impacted_AJ0 more_AV0 than_CJS policy_NN1 ,_PUN it_PNP was_VBD also_AV0 felt_VVN in_PRP clinical_AJ0 practice_NN1 ._SENT Even_AV0 after_CJS we_PNP were_VBD months_NN2 into_PRP the_AT0 COVID_AJ0 epidemic_NN1 ,_PUN there_EX0 was_VBD no_AT0 reliable_AJ0 information_NN1 on_PRP doctors’_AJ0 collective_AJ0 experience_NN1 in_PRP treating_VVG COVID_AJ0 patients_NN2 ._SENT We_PNP had_VHD not_XX0 tracked_VVN and_CJC reported_VVN what_DTQ treatments_NN2 and_CJC interventions_NN2 medical_AJ0 providers_NN2 were_VBD relying_VVG on_AVP and_CJC the_AT0 outcomes_NN2 of_PRF patients_NN2 who_PNQ received_VVD different_AJ0 forms_NN2 of_PRF care_NN1 ._SENT The_AT0 best_AJS information_NN1 linking_VVG different_AJ0 approaches_NN2 to_TO0 care_VVI with_PRP outcomes_NN2 was_VBD coming_VVG from_PRP Italy_NP0 and_CJC China_NP0 ._SENT These_DT0 countries_NN2 had_VHD earlier_AJC experiences_NN2 with_PRP the_AT0 virus_NN1 ,_PUN but_CJC they_PNP also_AV0 did_VDD a_AT0 much_AV0 better_AJC job_NN1 than_CJS our_DPS CDC_NP0 in_PRP tracking_VVG and_CJC collecting_VVG clinical_AJ0 experience_NN1 ,_PUN and_CJC sharing_VVG timely_AJ0 ,_PUN bottom-line_AJ0 data_NN0 with_PRP providers_NN2 ._SENT 
For_PRP clinical_AJ0 data_NN0 ,_PUN the_AT0 CDC_NP0 largely_AV0 relied_VVN on_PRP information_NN1 derived_VVN from_PRP death_NN1 certificates_NN2 ,_PUN but_CJC reporting_VVG from_PRP these_DT0 documents_NN2 was_VBD usually_AV0 delayed_VVN by_PRP one_CRD to_PRP two_CRD months_NN2 ._SENT That’s_NP0 why_AVQ a_AT0 lot_NN1 of_PRF the_AT0 early_AJ0 clinical_AJ0 data_NN0 that_CJT informed_VVD doctors_NN2 in_PRP the_AT0 US_NP0 and_CJC helped_VVD them_PNP determine_VVI which_DTQ patients_NN2 were_VBD most_AV0 likely_AJ0 to_TO0 have_VHI the_AT0 worst_AJS outcomes_NN2 was_VBD coming_VVG from_PRP other_AJ0 countries_NN2 ._SENT Nations_NN2 in_PRP Europe_NP0 derived_VVD this_DT0 information_NN1 from_PRP their_DPS electronic_AJ0 health_NN1 records_NN2 in_PRP a_AT0 near_AJ0 real-time_AJ0 fashion_NN1 ._SENT They_PNP thus_AV0 had_VHD better_AJC information_NN1 about_PRP patient_AJ0 experiences_NN2 to_TO0 guide_VVI clinical_AJ0 practice_NN1 ._SENT 
We_PNP also_AV0 lacked_VVD timely_AJ0 ,_PUN reliable_AJ0 epidemiological_AJ0 data_NN0 derived_VVN from_PRP effective_AJ0 contract_NN1 tracing_NN1 and_CJC used_VVD to_TO0 inform_VVI policymakers_NN2 on_PRP the_AT0 settings_NN2 where_AVQ spread_NN1 was_VBD most_AV0 likely_AJ0 to_TO0 occur_VVI ._SENT These_DT0 data_NN0 could_VM0 have_VHI helped_VVN us_PNP better_AJC target_NN1 mitigation_NN1 to_PRP the_AT0 highest-risk_AJ0 venues_NN2 ._SENT Studies_NN2 show_VVB that_CJT people_NN0 will_VM0 generally_AV0 follow_VVI public_AJ0 health_NN1 directives_NN2 for_PRP about_AV0 two_CRD weeks_NN2 ,_PUN and_CJC then_AV0 compliance_NN1 will_VM0 break_VVI down_AVP ._SENT Without_PRP better_AJC ways_NN2 to_TO0 focus_VVI our_DPS interventions_NN2 on_PRP regions_NN2 where_AVQ there_EX0 was_VBD the_AT0 greatest_AJS spread_NN1 ,_PUN we_PNP eroded_VVD public_AJ0 trust_NN1 and_CJC squandered_VVD the_AT0 social_AJ0 and_CJC political_AJ0 capital_NN1 needed_VVD to_TO0 maintain_VVI consent_NN1 ._SENT 
Bars_NN2 were_VBD closed_VVN basically_AV0 on_PRP a_AT0 hunch_NN1 that_CJT they_PNP were_VBD a_AT0 significant_AJ0 source_NN1 of_PRF spread_NN1 ._SENT There_EX0 was_VBD some_DT0 contact_NN1 tracing_VVG to_TO0 support_VVI this_DT0 policy_NN1 ,_PUN but_CJC the_AT0 data_NN0 were_VBD imperfect_AJ0 ._SENT Early_AV0 in_PRP the_AT0 epidemic_NN1 ,_PUN we_PNP left_VVD many_DT0 schools_NN2 and_CJC day_NN1 care_NN1 sites_NN2 open_VVB for_PRP essential_AJ0 workers_NN2 ,_PUN but_CJC we_PNP didn’t_VVB systematically_AV0 monitor_VVI whether_CJS those_DT0 settings_NN2 became_VVD sources_NN2 of_PRF spread_NN1 ,_PUN or_CJC which_DTQ interventions_NN2 helped_VVN reduce_VVB the_AT0 likelihood_NN1 of_PRF outbreaks_NN2 ._SENT So_AV0 we_PNP missed_VVD a_AT0 critical_AJ0 chance_NN1 to_TO0 collect_VVI data_NN0 that_CJT could_VM0 have_VHI informed_VVN future_AJ0 policymaking_NN1 on_PRP the_AT0 issue_NN1 of_PRF opening_AJ0 schools_NN2 ._SENT Lots_PNI of_PRF other_AJ0 gaps_NN2 could_VM0 have_VHI been_VBN plugged_VVN ,_PUN risks_NN2 reduced_VVN ,_PUN and_CJC hardships_NN2 avoided_VVN with_PRP timelier_NN1 and_CJC more_AV0 complete_AJ0 information_NN1 ._SENT 
Could_VM0 the_AT0 quarantine_NN1 period_NN1 after_PRP a_AT0 COVID_AJ0 exposure_NN1 have_VHB been_VBN shortened_VVN ?_SENT 
Almost_AV0 a_AT0 year_NN1 after_PRP the_AT0 pandemic_AJ0 began_VVD ,_PUN the_AT0 CDC_NP0 shortened_VVD the_AT0 recommended_AJ0 quarantine_NN1 for_PRP those_DT0 exposed_VVN to_PRP the_AT0 virus_NN1 from_PRP fourteen_CRD to_PRP ten_CRD days_NN2 ,_PUN and_CJC then_AV0 seven_CRD days_NN2 if_CJS a_AT0 person_NN1 tested_VVD negative_AJ0 for_PRP the_AT0 virus_NN1 seven_CRD days_NN2 after_PRP exposure.7_CRD 
Was_VBD six_CRD feet_NN2 the_AT0 right_AJ0 minimum_AJ0 distance_NN1 ?_SENT 
The_AT0 2006_CRD pandemic_AJ0 playbook_NN1 had_VHD discussed_VVN the_AT0 use_NN1 of_PRF three_CRD feet_NN2 of_PRF separation_NN1 ._SENT The_AT0 six-foot_AJ0 rule_NN1 led_VVN to_PRP situations_NN2 in_PRP which_DTQ people_NN0 congregating_VVG indoors_AV0 ,_PUN in_PRP spaces_NN2 that_CJT were_VBD poorly_AV0 ventilated_VVN and_CJC created_VVN easy_AJ0 conditions_NN2 for_PRP spread_NN1 ,_PUN but_CJC who_PNQ were_VBD kept_VVN six_CRD feet_NN2 apart_AV0 ,_PUN felt_VVD they_PNP could_VM0 take_VVI their_DPS masks_NN2 off_AVP if_CJS they_PNP remained_VVD outside_PRP a_AT0 six-foot_AJ0 circle_NN1 ._SENT 
Was_VBD fifteen_CRD minutes_NN2 of_PRF exposure_NN1 the_AT0 right_AJ0 measure_NN1 to_TO0 determine_VVI when_CJS someone_PNI who_PNQ was_VBD in_PRP contact_NN1 with_PRP an_AT0 infected_AJ0 individual_NN1 might_VM0 have_VHI contracted_VVN the_AT0 virus_NN1 ?_SENT 
It_PNP seemed_VVD like_PRP an_AT0 arbitrary_AJ0 judgment_NN1 and_CJC led_VVD to_PRP manipulation_NN1 of_PRF the_AT0 agency’s_AJ0 advice_NN1 ._SENT The_AT0 CDC_NP0 eventually_AV0 changed_VVD its_DPS guidance_NN1 from_PRP fifteen_CRD minutes_NN2 of_PRF sustained_AJ0 exposure_NN1 to_PRP fifteen_CRD minutes_NN2 of_PRF cumulative_AJ0 exposure_NN1 ,_PUN but_CJC how_AVQ could_VM0 you_PNP measure_VVI your_DPS cumulative_AJ0 exposure_NN1 to_PRP a_AT0 person_NN1 ?_SENT 8_CRD It_PNP was_VBD almost_AV0 as_AV0 if_CJS the_AT0 CDC_NP0 was_VBD treating_VVG exposure_NN1 to_PRP the_AT0 virus_NN1 like_PRP exposure_NN1 to_PRP radiation_NN1 and_CJC trying_VVG to_TO0 measure_VVI a_AT0 cumulative_AJ0 dose_NN1 ._SENT It_PNP was_VBD reported_VVN that_CJT some_DT0 establishments_NN2 moved_VVD people_NN0 around_AVP at_PRP the_AT0 fourteenth_ORD minute_NN1 to_TO0 avoid_VVI passing_VVG the_AT0 fifteen-minute_AJ0 regulatory_AJ0 threshold_NN1 ._SENT 
As_CJS sociologist_NN1 Dr._NP0 Zeynep_NP0 Tufekci_NP0 noted_VVD in_PRP The_AT0 Atlantic_NP0 ,_PUN “_NP0 None_PNI of_PRF this_DT0 made_VVN any_DT0 practical_AJ0 sense_NN1 ._SENT What_DTQ happened_VVD at_PRP minute_NN1 16_CRD ?_SENT Was_VBD five_CRD feet_NN2 okay_AV0 ?_SENT Faux_NN1 precision_NN1 isn’t_NN1 more_AV0 informative_AJ0 ;_PUN it’s_NN2 misleading_AJ0 ._SENT ”_VVB The_AT0 evidence_NN1 behind_PRP these_DT0 recommendations_NN2 was_VBD always_AV0 shaky_AJ0 ,_PUN and_CJC the_AT0 measures_NN2 hard_AJ0 to_TO0 implement_VVI ._SENT The_AT0 CDC_NP0 had_VHD to_TO0 start_VVI somewhere_AV0 ,_PUN and_CJC so_AV0 some_DT0 of_PRF the_AT0 initial_AJ0 recommendations_NN2 were_VBD based_VVN on_PRP imprecise_AJ0 evidence_NN1 ,_PUN but_CJC the_AT0 agency_NN1 should_VM0 have_VHI been_VBN more_AV0 transparent_AJ0 on_PRP just_AV0 how_AVQ weak_AJ0 some_DT0 of_PRF the_AT0 data_NN0 were_VBD ._SENT People_NN0 could_VM0 have_VHI made_VVN more_DT0 informed_AJ0 judgments_NN2 about_PRP where_AVQ to_TO0 apply_VVI limited_AJ0 resources_NN2 ,_PUN focusing_VVG on_PRP the_AT0 guidance_NN1 that_CJT had_VHD the_AT0 greatest_AJS chance_NN1 of_PRF reducing_VVG risk_NN1 or_CJC the_AT0 strongest_AJS scientific_AJ0 foundation_NN1 ._SENT Good_AJ0 epidemiological_AJ0 surveillance_NN1 ,_PUN conducted_VVN by_PRP the_AT0 CDC_NP0 ,_PUN could_VM0 have_VHI informed_VVN more_DT0 precise_AJ0 recommendations_NN2 ,_PUN and_CJC the_AT0 CDC_NP0 could_VM0 have_VHI provided_VVN us_PNP with_PRP more_DT0 information_NN1 about_PRP the_AT0 conditions_NN2 that_CJT contributed_VVD the_AT0 most_DT0 to_TO0 spread_VVI ,_PUN improving_VVG our_DPS ability_NN1 to_TO0 keep_VVI people_NN0 safe_AJ0 ._SENT Without_PRP reliable_AJ0 and_CJC actionable_AJ0 data_NN0 ,_PUN and_CJC good_AJ0 systems_NN2 for_PRP collecting_VVG and_CJC reporting_VVG information_NN1 ,_PUN we_PNP lacked_VVD the_AT0 infrastructure_NN1 to_TO0 try_VVI to_TO0 build_VVI a_AT0 new_AJ0 evidence_NN1 base_NN1 for_PRP a_AT0 novel_AJ0 pathogen_NN1 ._SENT So_AV0 we_PNP largely_AV0 worked_VVD from_PRP what_DTQ we_PNP knew_VVD about_PRP flu_NN1 ,_PUN which_DTQ in_PRP many_DT0 important_AJ0 respects_NN2 didn’t_NN1 apply_VVB to_PRP the_AT0 crisis_NN1 we_PNP faced_VVD from_PRP COVID_NP0 ._SENT 
Some_DT0 of_PRF the_AT0 CDC_NP0 documents_NN2 were_VBD subject_AJ0 to_PRP revisions_NN2 or_CJC delays_NN2 by_PRP political_AJ0 officials_NN2 at_PRP HHS_NP0 and_CJC the_AT0 White_AJ0 House_NN1 ,_PUN and_CJC the_AT0 general_AJ0 refrain_NN1 was_VBD that_CJT this_DT0 interference_NN1 made_VVD the_AT0 CDC_NP0 reluctant_AJ0 to_TO0 advance_VVI other_AJ0 guidance_NN1 or_CJC degraded_VVD the_AT0 impact_NN1 of_PRF the_AT0 recommendations_NN2 it_PNP issued_VVD ._SENT But_CJC there_EX0 were_VBD plenty_PNI of_PRF matters_NN2 the_AT0 CDC_NP0 opined_VVD on_AVP ,_PUN that_DT0 flew_VVD well_AV0 below_PRP the_AT0 radar_NN1 of_PRF its_DPS political_AJ0 interlopers_NN2 ,_PUN where_CJS the_AT0 CDC_NP0 had_VHD failed_VVN to_TO0 release_VVI relevant_AJ0 and_CJC timely_AJ0 information_NN1 ._SENT Moreover_AV0 ,_PUN the_AT0 CDC’s_NP0 approach_NN1 to_PRP these_DT0 efforts_NN2 didn’t_NN1 change_NN1 much_AV0 once_CJS President_NP0 Biden_NP0 took_VVD over_AVP ._SENT Two_CRD of_PRF the_AT0 CDC’s_NN2 most_AV0 senior_AJ0 career_NN1 officials_NN2 left_VVD the_AT0 agency_NN1 within_PRP the_AT0 first_ORD six_CRD months_NN2 of_PRF Biden’s_NP0 term_NN1 ,_PUN in_PRP part_NN1 ,_PUN I’m_NP0 told_VVD ,_PUN over_PRP friction_NN1 with_PRP the_AT0 new_AJ0 replaced-dns_NN2 with_PRP the_AT0 agency_NN1 ,_PUN it_PNP seemed_VVD ,_PUN had_VHD bipartisan_AJ0 appeal_NN1 ._SENT It’s_NP0 perhaps_AV0 convenient_AJ0 ,_PUN but_CJC self-serving_AJ0 ,_PUN to_TO0 blame_VVI all_DT0 of_PRF the_AT0 CDC’s_NP0 faults_NN2 during_PRP the_AT0 Trump_NN1 term_NN1 on_PRP political_AJ0 interference_NN1 into_PRP its_DPS work_NN1 ._SENT The_AT0 CDC_NP0 wasn’t_NN1 just_AV0 slow_AJ0 to_TO0 develop_VVI this_DT0 evidence_NN1 ,_PUN it_PNP also_AV0 didn’t_VVB offer_VVB it_PNP in_PRP practical_AJ0 terms_NN2 that_CJT made_VVD it_PNP actionable_AJ0 ._SENT 
Still_AV0 ,_PUN there_EX0 were_VBD White_AJ0 House_NN1 and_CJC HHS_NP0 political_AJ0 staff_NN0 who_PNQ wrongly_AV0 believed_VVD that_CJT more_DT0 information_NN1 would_VM0 confuse_VVI or_CJC alarm_VVI the_AT0 public_NN1 and_CJC drive_NN1 people_NN0 to_TO0 take_VVI decisions_NN2 that_CJT conflicted_VVD with_PRP the_AT0 Trump_NN1 administration’s_NN2 reopening_VVG goals_NN2 ._SENT So_AV0 the_AT0 CDC_NP0 was_VBD ,_PUN at_PRP times_NN2 ,_PUN intentionally_AV0 stymied_VVN ._SENT In_PRP other_AJ0 cases_NN2 ,_PUN the_AT0 White_AJ0 House_NN1 and_CJC HHS_NP0 lost_VVD confidence_NN1 in_PRP the_AT0 CDC_NP0 and_CJC ,_PUN not_XX0 knowing_VVG how_AVQ to_TO0 reform_VVI the_AT0 agency_NN1 ,_PUN they_PNP moved_VVD instead_AV0 to_TO0 suppress_VVI its_DPS work_NN1 ,_PUN isolate_VVB its_DPS leadership_NN1 ,_PUN and_CJC usurp_VVB some_DT0 of_PRF its_DPS responsibilities_NN2 ._SENT 
However_AV0 ,_PUN what_DTQ I_PNP also_AV0 saw_VVD were_VBD political_AJ0 officials_NN2 who_PNQ misread_VVB the_AT0 practical_AJ0 value_NN1 of_PRF providing_VVG consumers_NN2 with_PRP better_AJC information_NN1 ,_PUN and_CJC the_AT0 benefit_NN1 in_PRP leveraging_VVG the_AT0 CDC_NP0 to_TO0 help_VVI gather_VVI and_CJC report_VVI it_PNP ._SENT Reliable_AJ0 information_NN1 about_PRP risks_NN2 would_VM0 help_VVI advance_VVI the_AT0 policy_NN1 goals_NN2 of_PRF reopening_NN1 schools_NN2 and_CJC businesses_NN2 ,_PUN because_CJS the_AT0 absence_NN1 of_PRF information_NN1 created_VVN uncertainty_NN1 ,_PUN and_CJC uncertainty_NN1 bred_VVN indecision_NN1 ._SENT People_NN0 chose_VVD to_TO0 take_VVI no_AT0 action_NN1 at_PRP all_DT0 if_CJS they_PNP didn’t_NN1 have_VHB data_NN0 that_CJT could_VM0 help_VVI them_PNP correctly_AV0 calculate_VVB ,_PUN and_CJC lessen_VVB ,_PUN the_AT0 risks_NN2 of_PRF the_AT0 actions_NN2 that_CJT they_PNP wanted_VVD to_TO0 pursue_VVI ._SENT 
Take_VVB the_AT0 issue_NN1 of_PRF opening_AJ0 schools_NN2 ._SENT The_AT0 White_AJ0 House_NN1 wanted_VVD schools_NN2 to_TO0 be_VBI reopened_VVN in_PRP fall_NN1 2020._CRD But_CJC political_AJ0 officials_NN2 feared_VVD that_CJT more_DT0 information_NN1 about_PRP transmission_NN1 in_PRP schools_NN2 and_CJC the_AT0 conditions_NN2 that_CJT led_VVD to_PRP outbreaks_NN2 could_VM0 frighten_VVI additional_AJ0 schools_NN2 into_PRP staying_VVG shut_AJ0 ._SENT 
