[HTML][HTML] On the reliability of predictions on Covid-19 dynamics: A systematic and critical review of modelling techniques
JE Gnanvi, KV Salako, GB Kotanmi… - Infectious Disease …, 2021 - Elsevier
Since the emergence of the novel 2019 coronavirus pandemic in December 2019 (COVID-
19), numerous modellers have used diverse techniques to assess the dynamics of …
19), numerous modellers have used diverse techniques to assess the dynamics of …
Substantial underestimation of SARS-CoV-2 infection in the United States
Accurate estimates of the burden of SARS-CoV-2 infection are critical to informing pandemic
response. Confirmed COVID-19 case counts in the US do not capture the total burden of the …
response. Confirmed COVID-19 case counts in the US do not capture the total burden of the …
Molecular basis of SARS-CoV-2 infection and rational design of potential antiviral agents: modeling and simulation approaches
The emergence in late 2019 of the coronavirus SARS-CoV-2 has resulted in the
breakthrough of the COVID-19 pandemic that is presently affecting a growing number of …
breakthrough of the COVID-19 pandemic that is presently affecting a growing number of …
Epidemiology and transmission dynamics of COVID-19 in two Indian states
Although most cases of coronavirus disease 2019 (COVID-19) have occurred in low-
resource countries, little is known about the epidemiology of the disease in such contexts …
resource countries, little is known about the epidemiology of the disease in such contexts …
Forecasting for COVID-19 has failed
Epidemic forecasting has a dubious track-record, and its failures became more prominent
with COVID-19. Poor data input, wrong modeling assumptions, high sensitivity of estimates …
with COVID-19. Poor data input, wrong modeling assumptions, high sensitivity of estimates …
A stochastic agent-based model of the SARS-CoV-2 epidemic in France
Many European countries have responded to the COVID-19 pandemic by implementing
nationwide protection measures and lockdowns. However, the epidemic could rebound …
nationwide protection measures and lockdowns. However, the epidemic could rebound …
Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty
Algorithmic transparency entails exposing system properties to various stakeholders for
purposes that include understanding, improving, and contesting predictions. Until now, most …
purposes that include understanding, improving, and contesting predictions. Until now, most …
Association of mobile phone location data indications of travel and stay-at-home mandates with COVID-19 infection rates in the US
Importance A stay-at-home social distancing mandate is a key nonpharmacological
measure to reduce the transmission rate of severe acute respiratory syndrome coronavirus-2 …
measure to reduce the transmission rate of severe acute respiratory syndrome coronavirus-2 …
Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study
JA Lewnard, VX Liu, ML Jackson, MA Schmidt… - bmj, 2020 - bmj.com
Objective To understand the epidemiology and burden of severe coronavirus disease 2019
(covid-19) during the first epidemic wave on the west coast of the United States. Design …
(covid-19) during the first epidemic wave on the west coast of the United States. Design …
Neural network powered COVID-19 spread forecasting model
Virus spread prediction is very important to actively plan actions. Viruses are unfortunately
not easy to control, since speed and reach of spread depends on many factors from …
not easy to control, since speed and reach of spread depends on many factors from …