Journal Article - Nature
Coronavirus Modelling — Boost Developing World Capacity
Correspondence
Computational models of the likely spread of the SARS-CoV-2 coronavirus have been instrumental in guiding governments' strategies to limit disease transmission and control the current public-health crisis. In developing countries, where the pandemic is potentially at its most dangerous and costly, we call for governments to work with academic institutions to build and sustain modelling capacity....
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For Academic Citation:
Iychettira, Kaveri and Afreen Siddiqi. "Coronavirus Modelling — Boost Developing World Capacity." Nature, vol. 581. no. 384. (May 26, 2020).
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Computational models of the likely spread of the SARS-CoV-2 coronavirus have been instrumental in guiding governments' strategies to limit disease transmission and control the current public-health crisis. In developing countries, where the pandemic is potentially at its most dangerous and costly, we call for governments to work with academic institutions to build and sustain modelling capacity....
Want to Read More?
The full text of this publication is available via Nature.Iychettira, Kaveri and Afreen Siddiqi. "Coronavirus Modelling — Boost Developing World Capacity." Nature, vol. 581. no. 384. (May 26, 2020).
- Recommended
- In the Spotlight
- Most Viewed
Recommended
Analysis & Opinions - Project Syndicate
What Policymakers Should Ask Modelers
Analysis & Opinions - The Boston Globe
The Collateral Damage of the Coronavirus
Analysis & Opinions - The New York Times
We Must Prepare for the Next Pandemic
In the Spotlight
Most Viewed
Policy Brief - Quarterly Journal: International Security
The Future of U.S. Nuclear Policy: The Case for No First Use
Discussion Paper - Belfer Center for Science and International Affairs, Harvard Kennedy School
Why the United States Should Spread Democracy


