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 …

Correlation between Google Trends on dengue fever and national surveillance report in Indonesia

A Husnayain, A Fuad, L Lazuardi - Global health action, 2019 - Taylor & Francis
Background: Digital traces are rapidly used for health monitoring purposes in recent years.
This approach is growing as the consequence of increased use of mobile phone, Internet …

Dengue models based on machine learning techniques: A systematic literature review

W Hoyos, J Aguilar, M Toro - Artificial intelligence in medicine, 2021 - Elsevier
Background Dengue modeling is a research topic that has increased in recent years. Early
prediction and decision-making are key factors to control dengue. This Systematic Literature …

Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review

E Sylvestre, C Joachim, E Cecilia-Joseph… - PLoS neglected …, 2022 - journals.plos.org
Background Traditionally, dengue surveillance is based on case reporting to a central health
agency. However, the delay between a case and its notification can limit the system …

[HTML][HTML] The application of internet-based sources for public health surveillance (infoveillance): systematic review

JM Barros, J Duggan… - Journal of medical internet …, 2020 - jmir.org
Background Public health surveillance is based on the continuous and systematic collection,
analysis, and interpretation of data. This informs the development of early warning systems …

A multi-stage machine learning approach to predict dengue incidence: a case study in Mexico

A Appice, YR Gel, I Iliev, V Lyubchich, D Malerba - Ieee Access, 2020 - ieeexplore.ieee.org
The mosquito-borne dengue fever is a major public health problem in tropical countries,
where it is strongly conditioned by climate factors such as temperature. In this paper, we …

Can Google Trends data improve forecasting of Lyme disease incidence?

M Kapitány‐Fövény, T Ferenci, Z Sulyok… - Zoonoses and public …, 2019 - Wiley Online Library
Background Online activity‐based epidemiological surveillance and forecasting is getting
more and more attention. To date, Google search volumes have not been assessed for …

Open data mining for Taiwan's dengue epidemic

CH Wu, SC Kao, CH Shih, MH Kan - Acta tropica, 2018 - Elsevier
By using a quantitative approach, this study examines the applicability of data mining
technique to discover knowledge from open data related to Taiwan's dengue epidemic. We …

Mapping the residual incidence of taeniasis and cysticercosis in Colombia, 2009–2013, using geographical information systems: Implications for public health and …

AJ Rodríguez-Morales, MC Yepes-Echeverri… - Travel medicine and …, 2018 - Elsevier
Abstract Background In Colombia, taeniasis and cysticercosis have been significantly
reduced over the past decades, however still reported with implications for public health and …