Resources

Hier verzamelen we bronnen die gebruikt kunnen worden voor het bepalen van exit-strategieën; we updaten deze pagina voortdurend. Neem contact met ons op als je een waardevolle bron kent die niet in deze lijst voorkomt, dan zullen we deze toevoegen. Let wel, we kunnen de accuraatheid van deze bronnen niet garanderen.

Wetenschappelijke artikelen

AuteurTitelJaarLinkCodeOverig
Acemoglu, Chernozhukov, Werning & WhinstonA Multi-Risk SIR Model with Optimally Targeted Lockdown2020[Link][Webapp]
Allard et al.The role of directionality, heterogeneity and correlations in epidemic risk and spreadPreprint[Link]
Anderson, Heesterbeek, Klinkenberg & HollingsworthHow will country-based mitigation measures influence the course of the COVID-19 epidemic?2020[Link][Code]
Brethouwer, van de Rijt, Lindelauf, & Fokking"Stay Nearby or Get Checked": A Covid-19 Lockdown Exit Strategy2020[Link][Video]
Brotherhood, Kircher, Santos & TertiltAn economic model of the Covid-19 epidemic: The importance of testing and age-specific policies2020[Link]
Davies et al.The effect of non-pharmaceutical interventions on COVID-19 cases, deaths and demand for hospital services in the UK: a modelling study Preprint[Link][Code][Website]
Davies et al.Age-dependent effects in the transmission and control of COVID-19 epidemicsPreprint[Link][Code]
del Rio-Chanona, Mealy, Pichler, Lafond, & FarmerSupply and demand shocks in the COVID-19 pandemic: An industry and occupation perspectivePreprint[Link]
De Vlas & CoffengA phased lift of control: a practical strategy to achieve herd immunity against Covid-19 at the country levelPreprint[Link][Code]
Donnat & HolmesModeling the Heterogeneity in COVID-19's Reproductive Number and its Impact on Predictive ScenariosPreprint[Link]
Farboodi, Jarosch & ShimerInternal and External Effects of Social Distancing in a Pandemic2020[Link]
Ferguson et al.Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demandPreprint[Link]
Ferretti et al.Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing2020[Link][Webapp]
Flaxman, Mishra, Gandy et al.Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries2020[Link][Code][Webapp]
GibneyWhose coronavirus strategy worked best? Scientists hunt most effective policies2020[Link]
Gomes et al.Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity thresholdPreprint[Link]
Hale et al.Lockdown rollback checklist: Do countries meet WHO recommendations for rolling back lockdown?2020[Link]
Hamzah et al.CoronaTracker: World-wide COVID-19 Outbreak Data Analysis and PredictionSubmitted[Link][Webapp]
Hébert-Dufresne et al.Beyond R0: Heterogeneity in secondary infections and probabilistic epidemic forecastingPreprint[Link]
Heesterbeek et al.Modeling infectious disease dynamics in the complex landscape of global health2015[Link]
Kai et al.Universal Masking is Urgent in the COVID-19 Pandemic: SEIR and Agent Based Models, Empirical Validation, Policy Recommendations2020[Link]
Kissler, Tedijanto, Lipsitch & GradSocial distancing strategies for curbing the COVID-19 epidemicPreprint[Link]
Kissler et al.Projecting te transmission dynamics of SARS-CoV-2 through the postpandemic period2020[Link]
Kojaku, Hébert-Dufresne, & AhnThe effectiveness of contact tracing in heterogeneous networksPreprint[Link]
Kretzschmar, Rozhnova & Van BovenEffectiveness of isolation and contact tracing for containment and slowing down a COVID-19 epidemic: a modelling studyPreprint[Link]
Kretzschmar et al. Time is of the essence: impact of delays on effectiveness of contact tracing for COVID-19Preprint[Link]
Mongey, Pilossoph & WeinbergWhich Workers Bear the Burden of Social Distancing Policies?2020[Link]
Pichler, Pangallo, del Rio-Chanona, Lafond, & FarmerProduction networks and epidemic spreading: How to restart the UK economy?Preprint[Link][Webapp]
Prasse, Achterberg, Ma, & Van MieghemNetwork-based prediction of the 2019-ncov epidemic outbreak in the Chinese province Hubei.2020[Link][Webapp]
Salje, Tran Kiem, et al.Estimating the burden of SARS-CoV-2 in FrancePublished[Link]
Van Bavel et al.Using social and behavioural science to support COVID-19 pandemic responseIn Press[Link]
Van Wees, Osinga, van der Kuip, Tanck, Hanegraaf, Pluymaekers et al.Forecasting hospitalization and ICU rates of the COVID-19 outbreak: an efficient SEIR modelSubmitted[Link][Code]
Westerhoff & KolodkinAdvice from a systems-biology model of the Corona epidemicsPreprint[Link]

Blog Posts

  • Jimi Adams. What are COVID-19 Models Modeling? [Link]

Computer Code

  • OpenABM-Covid19: Agent-based model for modelling the Covid-19 [Link]
  • COVID-19 models used by the SSI modelling group [Link]
  • Ryan Seamus McGee. SEIRS on Networks Python Package [Link] [Overview]
  • ASReview: Active Learning to find relevant papers in de CORD19 database [Link] [GitHub]
  • De Vlas & Coffeng. A phased lift of control: a practical strategy to achieve herd immunity against Covid-19 at the country level [Link]
  • Van Wees, J. D., Osinga, S., van der Kuip, M., Tanck, M., Hanegraaf, M., & Pluymaekers, M. Forecasting hospitalization and ICU rates of the COVID-19 outbreak: an efficient SEIR model [Link]

Visualisaties

  • Alison Hill et al. (2020). Modeling COVID-19 Spread vs Healthcare Capacity [Link]
  • EndCoronavirus. Which countries should take action? [Link]
  • Our World in Data. Policy Responses to the Coronavirus Pandemic [Link]
  • New York Times. See Which States Are Reopening and Which Are Still Shut Down [Link]
  • Financial Times. Exiting lockdowns: tracking governments’ changing coronavirus responses [Link]
  • Dong & Gardner (2020). An interactive web-based dashboard to track COVID-19 in real time [Link] [Webapp]
  • What Happens Next? COVID-19 Futures, Explained With Playable Simulations [Link]
  • Richard Neher et al. COVID-19 Scenarios [Link]
  • Vermeulen,  Pyka, & Müller. An agent-based policy laboratory for COVID-19 containment strategies [Link]
  • ​Alessandro Vespignani et al. Global Epidemic and Mobility Model for COVID-19 in the US [Link]
  • Ferretti et al. (2020). Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science, pii: eabb6936. [Link] [Webapp]

Overig

  • The MITRE Corporation. COVID-19 Dashboard and Tools for the United States. [Link]
  • Moll (2020). Lockdowns in SIR Models [Link]
  • Live update Rt Covid-19 across the United States [Link]
  • Repository with previous and ongoing work on Covid-19 from the Centre for the Mathematical Modelling of Infectious Diseases (CMMID) at the London School of Hygiene & Tropical Medicine. [Link]
  • Our World in Data. Coronavirus Pandemic (COVID-19) [Link]
  • COVID Analytics [Link]
  • European Centre for Disease Prevention and Control. Today’s data on the geographic distribution of COVID-19 cases worldwide [Link]
  • COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University [Link]
  • New York Times Daily Podcast. The Next Year (or Two) of the Pandemic [Link]
  • Transmissions: Santa Fe Institute insights into COVID-19 [Link]
  • A tracker of trackers: COVID-19 policy responses and data [Link]
  • RIVM reported numbers on the Coronavirus outbreak in The Netherlands [Link]
  • Hale, Thomas, Sam Webster, Anna Petherick, Toby Phillips, and Beatriz Kira (2020). Oxford COVID-19 Government Response Tracker. [Link]
  • Desvars-Larrive et al. CCCSL: Complexity Science Hub Covid-19 Control Strategies List [Link]
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