Using social and behavioural science to support COVID-19 pandemic response

JJV Bavel, K Baicker, PS Boggio, V Capraro… - Nature human …, 2020 - nature.com
The COVID-19 pandemic represents a massive global health crisis. Because the crisis
requires large-scale behaviour change and places significant psychological burdens on …

Epidemic processes in complex networks

R Pastor-Satorras, C Castellano, P Van Mieghem… - Reviews of modern …, 2015 - APS
In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

[HTML][HTML] Population flow drives spatio-temporal distribution of COVID-19 in China

JS Jia, X Lu, Y Yuan, G Xu, J Jia, NA Christakis - Nature, 2020 - nature.com
Sudden, large-scale and diffuse human migration can amplify localized outbreaks of
disease into widespread epidemics 1, 2, 3, 4. Rapid and accurate tracking of aggregate …

Social connectedness: Measurement, determinants, and effects

M Bailey, R Cao, T Kuchler, J Stroebel… - Journal of Economic …, 2018 - aeaweb.org
Social networks can shape many aspects of social and economic activity: migration and
trade, job-seeking, innovation, consumer preferences and sentiment, public health, social …

Increasing vaccination: putting psychological science into action

NT Brewer, GB Chapman, AJ Rothman… - … Science in the …, 2017 - journals.sagepub.com
Vaccination is one of the great achievements of the 20th century, yet persistent public-health
problems include inadequate, delayed, and unstable vaccination uptake. Psychology offers …

[HTML][HTML] Herd immunity and implications for SARS-CoV-2 control

SB Omer, I Yildirim, HP Forman - Jama, 2020 - jamanetwork.com
Herd immunity, also known as indirect protection, community immunity, or community
protection, refers to the protection of susceptible individuals against an infection when a …

Mathematics of epidemics on networks

IZ Kiss, JC Miller, PL Simon - Cham: Springer, 2017 - Springer
Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

[HTML][HTML] Citizens' adherence to COVID-19 mitigation recommendations by the government: a 3-country comparative evaluation using web-based cross-sectional …

A Al-Hasan, D Yim, J Khuntia - Journal of medical Internet research, 2020 - jmir.org
Background Social distancing is an effective preventative policy for the coronavirus disease
(COVID-19) that is enforced by governments worldwide. However, significant variations are …

[PDF][PDF] Instagram photos reveal predictive markers of depression

AG Reece, CM Danforth - EPJ Data Science, 2017 - Springer
Using Instagram data from 166 individuals, we applied machine learning tools to
successfully identify markers of depression. Statistical features were computationally …

Internet Addiction in adolescence: Neurobiological, psychosocial and clinical issues

L Cerniglia, F Zoratto, S Cimino, G Laviola… - Neuroscience & …, 2017 - Elsevier
Despite it has not been formally included in DSM-5 as a disorder,'Internet addiction (IA)'has
become a worldwide issue. It can be broadly defined as a non-chemical, behavioral …