Non-pharmaceutical interventions during the COVID-19 pandemic: A review

N Perra - Physics Reports, 2021 - Elsevier
Infectious diseases and human behavior are intertwined. On one side, our movements and
interactions are the engines of transmission. On the other, the unfolding of viruses might …

[HTML][HTML] Emerging technologies for use in the study, diagnosis, and treatment of patients with COVID-19

M Tsikala Vafea, E Atalla, J Georgakas… - Cellular and molecular …, 2020 - Springer
Introduction The COVID-19 pandemic has caused an unprecedented health and economic
worldwide crisis. Innovative solutions are imperative given limited resources and immediate …

The role of social media in the advent of COVID-19 pandemic: crisis management, mental health challenges and implications

J Abbas, D Wang, Z Su, A Ziapour - Risk management and …, 2021 - Taylor & Francis
Background This study focuses on how educating people through social media platforms
can help reduce the mental health consequences of the COVID-19 to manage the global …

Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: A survey

KO Kwok, KK Li, WI Wei, A Tang, SYS Wong… - International journal of …, 2021 - Elsevier
Background A healthy healthcare system requires healthy healthcare workers. Protecting
healthcare workers including nurses against COVID-19 is crucial, and vaccination could be …

[HTML][HTML] Global research activity on mathematical modeling of transmission and control of 23 selected infectious disease outbreak

WM Sweileh - Globalization and health, 2022 - Springer
Background Mathematical analysis and modeling allow policymakers to understand and
predict the dynamics of an infectious disease under several different scenarios. The current …

[HTML][HTML] Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil

JF Oliveira, DCP Jorge, RV Veiga… - Nature …, 2021 - nature.com
COVID-19 is affecting healthcare resources worldwide, with lower and middle-income
countries being particularly disadvantaged to mitigate the challenges imposed by the …

[HTML][HTML] Optimizing COVID-19 vaccination programs during vaccine shortages

K Liu, Y Lou - Infectious Disease Modelling, 2022 - Elsevier
During the ongoing COVID-19 pandemic, vaccine shortages occur due to various types of
constraints, including interruptions in production/supply, higher-than-expected demands …

[HTML][HTML] SIRVD-DL: A COVID-19 deep learning prediction model based on time-dependent SIRVD

Z Liao, P Lan, X Fan, B Kelly, A Innes, Z Liao - Computers in Biology and …, 2021 - Elsevier
COVID-19 is one of the biggest challenges that human beings have faced recently. Many
researchers have proposed different prediction methods for establishing a virus …

[HTML][HTML] Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany

C Fritz, E Dorigatti, D Rügamer - Scientific Reports, 2022 - nature.com
During 2020, the infection rate of COVID-19 has been investigated by many scholars from
different research fields. In this context, reliable and interpretable forecasts of disease …

[HTML][HTML] Forecasting COVID-19 cases: A comparative analysis between recurrent and convolutional neural networks

KN Nabi, MT Tahmid, A Rafi, ME Kader, MA Haider - Results in Physics, 2021 - Elsevier
Though many countries have already launched COVID-19 mass vaccination programs to
control the disease outbreak quickly, numerous countries around worldwide are grappling …