Software for COVID-19 pandemic mitigation

Software for COVID-19 pandemic mitigation takes many forms. It includes mobile apps for contact tracing and notifications about infection risks, vaccine passports, software for enabling – or improving the effectiveness of – lockdowns and social distancing, Web software for the creation of related information services, and research and development software. A common issue is that few apps interoperate, reducing their effectiveness.

See also: Impact of the COVID-19 pandemic on science and technology and Public health mitigation of COVID-19 § Information technology

The , National Science Foundation, NASA, industry, and nine universities pooled resources to access supercomputers from IBM, combined with cloud computing resources from Hewlett Packard Enterprise, Amazon, Microsoft, and Google, for drug discovery.^[54]^[55] The COVID-19 High Performance Computing Consortium attempted to forecast disease spread, model vaccines, and screen thousands of chemical compounds.^[54]^[55] The Consortium had used 437 petaFLOPS of computing power by May 2020.^[56]

United States Department of Energy

The C3.ai Digital Transformation Institute, an additional consortium of Microsoft, six universities (including MIT), and the in Illinois, working under the auspices of artificial intelligence software company C3.ai pooled supercomputer resources toward drug discovery, medical protocol development and public health strategy improvement, as well as awarding grants for similar purposes.^[57]^[58]

National Center for Supercomputer Applications

Timeline of computing 2020–present

Pandemic prevention § Surveillance and mapping

COVID-19 surveillance

Teamwork

Open-source software development

Information management

COVID-19 pandemic#Information dissemination

Open-source ventilator

Bioinformatics

Impact of the COVID-19 pandemic on science and technology#Computing and machine learning research and citizen science

Public health mitigation of COVID-19 § Information technology

Technology policy

Asadzadeh, Afsoon; Pakkhoo, Saba; Saeidabad, Mahsa Mirzaei; Khezri, Hero; Ferdousi, Reza (1 January 2020). . Informatics in Medicine Unlocked. 21: 100475. doi:10.1016/j.imu.2020.100475. ISSN 2352-9148. PMC 7661942. PMID 33204821., a scientific review for an overview of how IT applications could be used during the COVID-19 outbreak and pandemic