Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Forecasting zoonotic infectious disease response to climate change: mosquito vectors and a changing environment

AW Bartlow, C Manore, C Xu, KA Kaufeld… - Veterinary …, 2019 - mdpi.com
Infectious diseases are changing due to the environment and altered interactions among
hosts, reservoirs, vectors, and pathogens. This is particularly true for zoonotic diseases that …

[HTML][HTML] Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and …

H Al-Dmour, A Salman, M Abuhashesh… - Journal of medical …, 2020 - jmir.org
Background: Despite the growing body of literature examining social media in health
contexts, including public health communication, promotion, and surveillance, limited insight …

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time

NE Kogan, L Clemente, P Liautaud, J Kaashoek… - Science …, 2021 - science.org
Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …

Combining search, social media, and traditional data sources to improve influenza surveillance

M Santillana, AT Nguyen, M Dredze… - PLoS computational …, 2015 - journals.plos.org
We present a machine learning-based methodology capable of providing real-time
(“nowcast”) and forecast estimates of influenza activity in the US by leveraging data from …

Dynamics of the impact of COVID-19 on the economic activity of Peru

L Varona, JR Gonzales - Plos one, 2021 - journals.plos.org
Background The COVID-19 virus impacts human health and the world economy, causing in
Peru, more than 800 thousand infected and a strong recession expressed in a drop of-12 …

Forecasting Zika incidence in the 2016 Latin America outbreak combining traditional disease surveillance with search, social media, and news report data

SF McGough, JS Brownstein, JB Hawkins… - PLoS neglected …, 2017 - journals.plos.org
Background Over 400,000 people across the Americas are thought to have been infected
with Zika virus as a consequence of the 2015–2016 Latin American outbreak. Official …

Dynamic forecasting of Zika epidemics using Google Trends

Y Teng, D Bi, G Xie, Y Jin, Y Huang, B Lin, X An… - PloS one, 2017 - journals.plos.org
We developed a dynamic forecasting model for Zika virus (ZIKV), based on real-time online
search data from Google Trends (GTs). It was designed to provide Zika virus disease (ZVD) …

Customers online engagement with social media influencers' content related to COVID 19

M Al Khasawneh, M Abuhashesh, A Ahmad… - The effect of coronavirus …, 2021 - Springer
The purpose of the current research is to investigate the impact of social media influencers
on customer engagement in Jordan with content related to COVID19. Built on a literature …

Infectious disease surveillance in the big data era: towards faster and locally relevant systems

L Simonsen, JR Gog, D Olson… - The Journal of infectious …, 2016 - academic.oup.com
While big data have proven immensely useful in fields such as marketing and earth
sciences, public health is still relying on more traditional surveillance systems and awaiting …