Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis | Paper Citation Record

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This paper cites Paid Leave and Access to Telework as Work Attendance Determinants during Acute Respiratory Illness, United States, 2017-2018.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Paid Leave and Access to Telework as Work Attendance Determinants during Acute Respiratory Illness, United States, 2017-2018

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This paper cites covidcast: Client for Delphi’s COVIDcast Epidata API, 2023.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis covidcast: Client for Delphi’s COVIDcast Epidata API, 2023

Reference 2

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This paper cites Vaccine effectiveness against trans- mission of alpha, delta and omicron sars-cov-2-infection, belgian contact tracing, 2021–2022.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Vaccine effectiveness against trans- mission of alpha, delta and omicron sars-cov-2-infection, belgian contact tracing, 2021–2022

Reference 3

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This paper cites Science brief: Commu- nity use of masks to control the spread of SARS-CoV-2 | CDC.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Science brief: Commu- nity use of masks to control the spread of SARS-CoV-2 | CDC

Reference 4

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This paper cites Guidance for Antigen Testing for SARS- CoV-2 for Healthcare Providers Testing Individuals in the Community, 2020.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Guidance for Antigen Testing for SARS- CoV-2 for Healthcare Providers Testing Individuals in the Community, 2020

Reference 5

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis COVID-19 Quarantine and Isolation | CDC, 2021

Reference 6

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This paper cites Estimated COVID-19 Burden, 2021.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Estimated COVID-19 Burden, 2021

Reference 7

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Unresolved cited work

Reference 8

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis PU-UNet: Stable Multiplicative Interactions for Medical Image Segmentation

Reference 9

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This paper cites Influenza in workplaces: transmission, workers’ adherence to sick leave advice and European sick leave recommendations.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Influenza in workplaces: transmission, workers’ adherence to sick leave advice and European sick leave recommendations

Reference 10

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Ferguson, D

Reference 11

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This paper cites COVID-19 vaccinations in the united states,county.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis COVID-19 vaccinations in the united states,county

Reference 12

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This paper cites Sars-cov-2 incubation period across variants of concern, individual factors, and circumstances of infection in france: a case series analysis from the comcor study.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Sars-cov-2 incubation period across variants of concern, individual factors, and circumstances of infection in france: a case series analysis from the comcor study

Reference 13

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Unresolved cited work

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This paper cites COVID-19 Community Mobility Reports, 2020.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis COVID-19 Community Mobility Reports, 2020

Reference 15

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Ornstein, Rob Purcell, Matthew D

Reference 16

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Unresolved cited work

Reference 17

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis COVID-19 statistics

Reference 18

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis IHME COVID-19 Projections, 2020

Reference 19

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Iwen, Joseph Fauver, Bryan Buss, and Matthew Donahue

Reference 20

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This paper cites COVID-19.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis COVID-19

Reference 21

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Use of rapid antigen tests during the omicron wave

Reference 22

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This paper cites Kerr, Robyn M.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Kerr, Robyn M

Reference 23

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Outward and in- ward protection efficiencies of different mask designs for different respiratory activities

Reference 24

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This paper cites Laitman, Joshua A.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Laitman, Joshua A

Reference 25

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Evaluation of waning of sars-cov-2 vaccine–induced immunity: a systematic review and meta-analysis

Reference 26

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Data downloads | COVID-19 outbreak

Reference 27

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This paper cites Quantifying inequities in covid-19 vaccine distribution over time by social vulnerability, race and ethnicity, and location: A population-level analysis in st.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Quantifying inequities in covid-19 vaccine distribution over time by social vulnerability, race and ethnicity, and location: A population-level analysis in st

Reference 28

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Clinical performance of rapid antigen tests in comparison to rt-pcr for sars-cov-2 diagnosis in omicron variant: A systematic review and meta-analysis

Reference 29

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis 2022 School Pulse Panel, 2022

Reference 30

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Active epidemiological investigation on SARS-CoV-2 infection caused by Omicron variant (Pango lineage B.1.1.529) in Japan: preliminary report on infectious period, 2022

Reference 31

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Rosenblatt, Laurent H ´ebert-Dufresne, Rob Purcell, Matt Kasman, and Ross A

Reference 32

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Mod- elling the potential impact of mask use in schools and society on covid-19 control in the uk

Reference 33

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Unreported sars-cov-2 home testing and test positivity

Reference 34

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This paper cites Cabrera, Andrew Chin, Eu Jing Chua, Brian Clark, Sarah Colquhoun, Nat DeFries, David C.

Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Cabrera, Andrew Chin, Eu Jing Chua, Brian Clark, Sarah Colquhoun, Nat DeFries, David C

Reference 35

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correction dated 2026-06-29. Source: crossref record 10.1073/pnas.2620564123->10.1073/pnas.2111452118:correction, observed 2026-07-11T03:07:17.710181+00:00. This notice travels one citation hop only.

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with covid-19 in the new york city area

Reference 36

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Serial Intervals and Household Transmission of SARS-CoV-2 Omicron Variant, South Korea, 2021

Reference 37

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis False-positive COVID- 19 results: hidden problems and costs

Reference 38

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis The durability of immunity against reinfection by SARS-CoV-2: a comparative evolutionary study

Reference 39

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Pa- tients’ Compliance With Quarantine Requirements for Exposure or Potential Symptoms of COVID-19

Reference 40

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:28:02.399463Z

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis Effectiveness of Face Masks in Preventing Airborne Transmission of SARS-CoV-

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:28:04.533487Z

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Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis ISSN 2379-5042

Reference 42

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Pith citing papers