The effect of public health measures on the 1918 influenza pandemic in U.S. cities
By M. Bootsma, Neil M. Ferguson. Proceedings of the National Academy of Sciences of the United States of America, 2007
685 citations recorded by the source corpus.
Subfields: Epidemiology, Health, Toxicology and Mutagenesis, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/545b7fd7eee863f2f86458e4509c34f6f0dc1eee
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Epidemiology
- Marcel Salathé
- Alessandro Vespignani
- Nicola Perra
- Anja Pabel
- Michelle Thompson
- Edward C. Holmes
- D. Morens
- B. Prideaux
In Health, Toxicology and Mutagenesis
In Modeling and Simulation
- Nicola Perra
- Alessandro Vespignani
- Zhen Wang
- Marcel Salathé
- Chris T. Bauch
- George O. Mohler
- Martin B. Short
- Alex Arenas
Citations in the corpus
- Coupled Contagion Dynamics of Fear and Disease: Mathematical and Computational Explorations (2008, background): “There has been elegant recent work adapting earlier ideas (Kremer, 1996) of prevalence elasticity to this important case (Bootsma and Ferguson, 2007).”
- The spread of awareness and its impact on epidemic outbreaks (2009, background): “Efforts to assess the potential for prevention of future outbreaks of contagious diseases have motivated previous studies on the effects of social distancing (11, 12) which, however, focused on behavioral changes imposed by a central organization on the population level.”
- Modeling human mobility responses to the large-scale spreading of infectious diseases (2011, background): “In the recent literature, a few attempts to model behavioral changes have been done [8, 9, 10, 11, 12, 13, 14] but any of these tackle the effect of social disruption inside a metapopulation framework.”
- The challenges of modeling and forecasting the spread of COVID-19 (2020, methodology): “The SEIR model was shown to fit historical death record data from the 1918 influenza epidemic (43), during which governments implemented extensive social distancing measures, including bans on public events, school closures, and quarantine and isolation measures.”
- The economics of COVID-19: initial empirical evidence on how family firms in five European countries cope with the corona crisis (2020, background): “The economy during the COVID-19 crisis The imposed non-pharmaceutical interventions have had a very negative impact on the economy (Anderson et al., 2020; Bootsma and Ferguson, 2007; Lee et al., 2012).”
- Pandemic, Shutdown and Consumer Spending: Lessons from Scandinavian Policy Responses to COVID-19 (2020, background): “5This is consistent with historical evidence that public health interventions to contain flu pandemics reduced mortality (Bootsma and Ferguson, 2007) without depressing the economy (Correia et al., 2020).”
- Statistical physics of vaccination (2016, background): “Other model fitting and data analysis exercises without mechanistic representations of behavior have likewise shown the importance of accounting for behavior when explaining observed epidemic patterns [401, 402].”
- Modelling the influence of human behaviour on the spread of infectious diseases: a review (2010, neutral): “, 1997) and traffic jams (Wilson, 2008), but efforts to study human behaviour in the context of epidemics usually concentrated on judging the effectiveness of various institutionally enforced public health measures such as school closures (e.g., Hatchett et al., 2007; Bootsma and Ferguson, 2007).”
- Lessons from COVID-19 can prepare global tourism for the economic transformation needed to combat climate change (2020, methodology): “A study of the Spanish Flu pandemic in US cities using the susceptible-exposedinfected-recovered (SEIR) epidemic model (Bootsma & Ferguson, 2007) found that NPIs reduced the level of mortality.”