Social physics
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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?
Background Online activity‐based epidemiological surveillance and forecasting is getting
more and more attention. To date, Google search volumes have not been assessed for …
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 …
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 …
reduced over the past decades, however still reported with implications for public health and …