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Research proposal

More details about our plans are available through the research proposal:

Background reading

Selected publications

  • Some publications that provide an introductory overview to some aspects of this research project:
    • Morgan, Oliver (2019). "How decision makers can use quantitative approaches to guide outbreak responses". Philosophical Transactions of the Royal Society B: Biological Sciences. 374 (1776): 20180365. doi:10.1098/rstb.2018.0365
    • Riley, Steven; Mossong, Joël; Hens, Niel; Jit, Mark; Beutels, Philippe; Auranen, Kari; Mikolajczyk, Rafael; Massari, Marco; Salmaso, Stefania; Tomba, Gianpaolo Scalia; Wallinga, Jacco; Heijne, Janneke; Sadkowska-Todys, Malgorzata; Rosinska, Magdalena; Edmunds, W. John (2008). "Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases". PLoS Medicine. 5 (3): e74. doi:10.1371/journal.pmed.0050074.
    • Siegenfeld, Alexander F.; Taleb, Nassim N.; Bar-Yam, Yaneer (2020). "Opinion: What models can and cannot tell us about COVID-19". Proceedings of the National Academy of Sciences. 117 (28): 16092–16095. doi:10.1073/pnas.2011542117.
    • Mullen, Lucia; Potter, Christina; Gostin, Lawrence O; Cicero, Anita; Nuzzo, Jennifer B (2020). "An analysis of International Health Regulations Emergency Committees and Public Health Emergency of International Concern Designations". BMJ Global Health. 5 (6): e002502. doi:10.1136/bmjgh-2020-002502.
    • Atzrodt, Cassandra L.; Maknojia, Insha; McCarthy, Robert D.P.; Oldfield, Tiara M.; Po, Jonathan; Ta, Kenny T.L.; Stepp, Hannah E.; Clements, Thomas P. (2020). "A Guide to COVID‐19: a global pandemic caused by the novel coronavirus SARS‐CoV‐2". The FEBS Journal. doi:10.1111/febs.15375.
    • Friston, Karl J.; Parr, Thomas; Zeidman, Peter; Razi, Adeel; Flandin, Guillaume; Daunizeau, Jean; Hulme, Oliver J.; Billig, Alexander J.; Litvak, Vladimir; Moran, Rosalyn J.; Price, Cathy J.; Lambert, Christian (2020-04-09). "Dynamic causal modelling of COVID-19". arXiv:2004.04463.
      • See also this interview with the lead author, in which he announces that the software will be made available with the next release of SPM. As of 7 September 2020, the latest release is still SPM12, last updated on January 13, 2020.
  • Tropical marine sciences: Knowledge production in a web of path dependencies
  • Sheikh, Asiyah; Sheikh, Zakariya; Sheikh, Aziz (2020). "Novel approaches to estimate compliance with lockdown measures in the COVID-19 pandemic". Journal of Global Health. 10 (1). doi:10.7189/jogh.10.010348.
    • Chretien, Jean-Paul; Rivers, Caitlin M.; Johansson, Michael A. (2016). "Make Data Sharing Routine to Prepare for Public Health Emergencies". PLOS Medicine. 13 (8): e1002109. doi:10.1371/journal.pmed.1002109
    • Weichselgartner, Juergen; Pigeon, Patrick (2015). "The Role of Knowledge in Disaster Risk Reduction". International Journal of Disaster Risk Science. 6 (2): 107–116. doi:10.1007/s13753-015-0052-7
      • more on disaster knowledge:
        • National Academies of Sciences, Engineering, and Medicine. 2016. Exploring Disaster Risk Reduction Through Community-Level Approaches to Promote Healthy Outcomes: Proceedings of a Workshop—in Brief. Washington, DC: The National Academies Press. doi:10.17226/23600
        • Spiekermann, Raphael; Kienberger, Stefan; Norton, John; Briones, Fernando; Weichselgartner, Juergen (2015). "The Disaster-Knowledge Matrix – Reframing and evaluating the knowledge challenges in disaster risk reduction". International Journal of Disaster Risk Reduction. 13: 96–108. doi:10.1016/j.ijdrr.2015.05.002
        • Marincioni, Fausto (2007). "Information technologies and the sharing of disaster knowledge: the critical role of professional culture". Disasters. 31 (4): 459–476. doi:10.1111/j.1467-7717.2007.01019.x.
    • van Panhuis, Willem G; Paul, Proma; Emerson, Claudia; Grefenstette, John; Wilder, Richard; Herbst, Abraham J; Heymann, David; Burke, Donald S (2014). "A systematic review of barriers to data sharing in public health". BMC Public Health. 14 (1). doi:10.1186/1471-2458-14-1144.
    • Stone, Lewi; He, Daihai; Lehnstaedt, Stephan; Artzy-Randrup, Yael (2020). "Extraordinary curtailment of massive typhus epidemic in the Warsaw Ghetto". Science Advances. 6 (30): eabc0927. doi:10.1126/sciadv.abc0927.
    • Althouse, Benjamin M; Scarpino, Samuel V; Meyers, Lauren Ancel; Ayers, John W; Bargsten, Marisa; Baumbach, Joan; Brownstein, John S; Castro, Lauren; Clapham, Hannah; Cummings, Derek AT; Del Valle, Sara; Eubank, Stephen; Fairchild, Geoffrey; Finelli, Lyn; Generous, Nicholas; George, Dylan; Harper, David R; Hébert-Dufresne, Laurent; Johansson, Michael A; Konty, Kevin; Lipsitch, Marc; Milinovich, Gabriel; Miller, Joseph D; Nsoesie, Elaine O; Olson, Donald R; Paul, Michael; Polgreen, Philip M; Priedhorsky, Reid; Read, Jonathan M; Rodríguez-Barraquer, Isabel; Smith, Derek J; Stefansen, Christian; Swerdlow, David L; Thompson, Deborah; Vespignani, Alessandro; Wesolowski, Amy (2015). "Enhancing disease surveillance with novel data streams: challenges and opportunities". EPJ Data Science. 4 (1). doi:10.1140/epjds/s13688-015-0054-0.
    • Nowakowska, Joanna; Sobocińska, Joanna; Lewicki, Mateusz; Lemańska, Żaneta; Rzymski, Piotr (2020). "When science goes viral: The research response during three months of the COVID-19 outbreak". Biomedicine & Pharmacotherapy: 110451. doi:10.1016/j.biopha.2020.110451.
    • Keeling, Matt (2005). "The implications of network structure for epidemic dynamics". Theoretical Population Biology. 67 (1): 1–8. doi:10.1016/j.tpb.2004.08.002
    • Grindrod, Peter (2016). "Beyond privacy and exposure: ethical issues within citizen-facing analytics". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 374 (2083): 20160132. doi:10.1098/rsta.2016.0132.
    • RDA COVID-19 Working Group. Recommendations and Guidelines on data sharing. Research Data Alliance, 2020. DOI: 10.15497/rda00052.
    • Gewin, Virginia (2020). "Six tips for data sharing in the age of the coronavirus". Nature. doi:10.1038/d41586-020-01516-0.
    • Crosbie, Nicholas D.; Vanrolleghem, Peter A.; Deere, Dan; Zamyadi, Arash; Hill, Kelly (2020). "SARS-CoV-2 known and unknowns, implications for the water sector and wastewater-based epidemiology to support national responses worldwide: early review of global experiences with the COVID-19 pandemic". Water Quality Research Journal. doi:10.2166/wqrj.2020.100.
      • with some thoughts around "supporting decision-making relating to medical and social interventions"
    • Ledford, Heidi (2020). "Coronavirus breakthrough: dexamethasone is first drug shown to save lives". Nature. doi:10.1038/d41586-020-01824-5.
      • dedicated website for the trial
      • Scholia profile
      • see also this press release:

        • "Dexamethasone reduced deaths by one-third in ventilated patients (rate ratio 0.65 [95% confidence interval 0.48 to 0.88]; p=0.0003) and by one fifth in other patients receiving oxygen only (0.80 [0.67 to 0.96]; p=0.0021). There was no benefit among those patients who did not require respiratory support (1.22 [0.86 to 1.75; p=0.14)."

  • Crusoe, J., Melin, U., (2018), Investigating open government data barriers: A literature review and conceptualization, Electronic Government, 169-183. doi:10.1007/978-3-319-98690-6_15
  • Kapiriri, Lydia; Ross, Alison (2018). "The Politics of Disease Epidemics: a Comparative Analysis of the SARS, Zika, and Ebola Outbreaks". Global Social Welfare. 7 (1): 33–45. doi:10.1007/s40609-018-0123-y.
  • Medema, Gertjan; Heijnen, Leo; Elsinga, Goffe; Italiaander, Ronald; Brouwer, Anke (2020). "Presence of SARS-Coronavirus-2 RNA in Sewage and Correlation with Reported COVID-19 Prevalence in the Early Stage of the Epidemic in The Netherlands". Environmental Science & Technology Letters. doi:10.1021/acs.estlett.0c00357.
    • London, Alex John; Kimmelman, Jonathan (2020). "Against pandemic research exceptionalism". Science. 368 (6490): 476–477. doi:10.1126/science.abc1731

      • "incentivize participation in efforts that uphold the criteria outlined here and to foster robust participation in multicenter studies so that data can be generated from different institutions"

    • Elliott, Jacobi; Gordon, Alicia; Tong, Catherine E.; Stolee, Paul (2020). "We've got the home care data, what do we do with it?": understanding data use in decision making and quality improvement". BMC Health Services Research. 20 (1). doi:10.1186/s12913-020-5018-9.
    • Cuypers, Lize; Libin, Pieter; Simmonds, Peter; Nowé, Ann; Muñoz-Jordán, Jorge; Alcantara, Luiz; Vandamme, Anne-Mieke; Santiago, Gilberto; Theys, Kristof (2018). "Time to Harmonize Dengue Nomenclature and Classification". Viruses. 10 (10): 569. doi:10.3390/v10100569.
    • Chao, Dennis L.; Elizabeth Halloran, M.; Longini, Jr, Ira M. (2010). "School Opening Dates Predict Pandemic Influenza A(H1N1) Outbreaks in the United States". The Journal of Infectious Diseases. 202 (6): 877–880. doi:10.1086/655810.
    • Megahed, Naglaa A.; Ghoneim, Ehab M. (2020). "Antivirus-built environment: Lessons learned from Covid-19 pandemic". Sustainable Cities and Society. 61: 102350. doi:10.1016/j.scs.2020.102350.
    • Maxmen, Amy (2020). "Ebola prepared these countries for coronavirus — but now even they are floundering". Nature. doi:10.1038/d41586-020-02173-z.
    • Castro, K. G. (2007). "Tuberculosis Surveillance: Data for Decision-Making". Clinical Infectious Diseases. 44 (10): 1268–1270. doi:10.1086/514351
    • Gostin, Lawrence O. (2004). "Pandemic Influenza: Public Health Preparedness for the Next Global Health Emergency". The Journal of Law, Medicine & Ethics. 32 (4): 565–573. doi:10.1111/j.1748-720X.2004.tb01962.x.
  • Haug, Nils; Geyrhofer, Lukas; Londei, Alessandro; Dervic, Elma; Desvars-Larrive, Amélie; Loreto, Vittorio; Pinior, Beate; Thurner, Stefan; Klimek, Peter (2020). "Ranking the effectiveness of worldwide COVID-19 government interventions". Nature Human Behaviour. 4 (12): 1303–1312. doi:10.1038/s41562-020-01009-0.
  • Dean, Natalie (2021). "COVID vaccination studies: plan now to pool data, or be bogged down in confusion". Nature. 591 (7849): 179–179. doi:10.1038/d41586-021-00563-5.

Topic profiles