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Public health decisions must be made about when and how to implement interventions to control an infectious disease epidemic. These decisions should be informed by data on the epidemic as well as current understanding about the transmission…

Applications · Statistics 2024-08-15 Jesse Wheeler , AnnaElaine Rosengart , Zhuoxun Jiang , Kevin Tan , Noah Treutle , Edward Ionides

Ear disease contributes significantly to global hearing loss, with recurrent otitis media being a primary preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic…

Climate change threatens biodiversity directly by influencing biophysical variables that drive species' geographic distributions and indirectly through socio-economic changes that influence land use patterns, driven by global consumption,…

Populations and Evolution · Quantitative Biology 2020-02-10 Simon Kapitza , Pham Van Ha , Tom Kompas , Nick Golding , Natasha C. R. Cadenhead , Payal Bal , Brendan A. Wintle

The COVID-19 pandemic has forced public health experts to develop contingent policies to stem the spread of infection, including measures such as partial/complete lockdowns. The effectiveness of these policies has varied with geography,…

Social and Information Networks · Computer Science 2020-10-29 Parth Asawa , Manas Gaur , Kaushik Roy , Amit Sheth

Mosquitoes are vectors of many human diseases. In particular, Aedes \ae gypti (Linnaeus) is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America and it represents a global threat. Public health policies that aim at…

Machine Learning · Statistics 2018-05-08 J. M. Scavuzzo , F. Trucco , M. Espinosa , C. B. Tauro , M. Abril , C. M. Scavuzzo , A. C. Frery

Surveillance data serving for epidemic alert systems are typically fully aggregated in space. However, epidemics may be spatially heterogeneous, undergoing distinct dynamics in distinct regions of the surveillance area. We unveil this in…

Populations and Evolution · Quantitative Biology 2018-03-30 Pavel Polyakov , Cécile Souty , Pierre-Yves Böelle , Romulus Breban

Accurate real-time tracking of influenza outbreaks helps public health officials make timely and meaningful decisions that could save lives. We propose an influenza tracking model, ARGO (AutoRegression with GOogle search data), that uses…

Applications · Statistics 2015-11-17 Shihao Yang , Mauricio Santillana , S. C. Kou

Over the last ten years, the US Centers for Disease Control and Prevention (CDC) has organized an annual influenza forecasting challenge with the motivation that accurate probabilistic forecasts could improve situational awareness and yield…

Machine Learning · Statistics 2024-07-30 Evan L. Ray , Yijin Wang , Russell D. Wolfinger , Nicholas G. Reich

Seasonal influenza forecasting is critical for public health and individual decision making. We investigate whether the inclusion of data about influenza activity in neighboring states can improve point predictions and distribution…

Applications · Statistics 2024-08-26 Gabrielle Thivierge , Aaron Rumack , F. William Townes

Seasonal influenza epidemics cause consistent, considerable, widespread loss annually in terms of economic burden, morbidity, and mortality. With access to accurate and reliable forecasts of a current or upcoming influenza epidemic's…

Populations and Evolution · Quantitative Biology 2016-02-17 Logan C. Brooks , David C. Farrow , Sangwon Hyun , Ryan J. Tibshirani , Roni Rosenfeld

The COVID-19 pandemic considerably affects public health systems around the world. The lack of knowledge about the virus, the extension of this phenomenon, and the speed of the evolution of the infection are all factors that highlight the…

Computers and Society · Computer Science 2022-10-25 Andrea Loreggia , Anna Passarelli , Maria Silvia Pini

Influenza poses a significant threat to public health, particularly among the elderly, young children, and people with underlying dis-eases. The manifestation of severe conditions, such as pneumonia, highlights the importance of preventing…

Machine Learning · Computer Science 2024-02-23 Yanhua Xu , Dominik Wojtczak

We analyze the dynamics of the COVID-19 epidemic taking into account the role of the unreported cases. After a first section in which we deal with a framework of very slow test capacity, we turn to the model recently introduced/implemented…

Populations and Evolution · Quantitative Biology 2020-06-05 Andrés Navas , Gastón Vergara-Hermosilla

Objectives: Our research adopts computational techniques to analyze disease outbreaks weekly over a large geographic area while maintaining local-level analysis by incorporating relevant high-spatial resolution cultural and environmental…

Machine Learning · Computer Science 2024-11-12 Scott Pezanowski , Etien Luc Koua , Joseph C Okeibunor , Abdou Salam Gueye

In Fall 2020, several European countries reported rapid increases in COVID-19 cases along with growing estimates of the effective reproduction rates. Such an acceleration in epidemic spread is usually attributed to time-dependent effects,…

Populations and Evolution · Quantitative Biology 2022-11-30 Nazmi Burak Budanur , Björn Hof

Influenza viruses undergo continual antigenic evolution allowing mutant viruses to evade host immunity acquired to previous virus strains. Antigenic phenotype is often assessed through pairwise measurement of cross-reactivity between…

We introduce a new probabilistic model to estimate the real spread of the novel SARS-CoV-2 virus along regions or countries. Our model simulates the behavior of each individual in a population according to a probabilistic model through an…

Populations and Evolution · Quantitative Biology 2020-05-05 Marcos Matabuena , Carlos Meijide-García , Pablo Rodríguez-Mier , Víctor Leborán

The Influenza Pandemic of 1918-1919, also called Spanish Flu Pandemic, was one of the severest pandemics in history. It is thought that the First World War much influenced the spread of the pandemic. In this paper, we model the pandemic…

Populations and Evolution · Quantitative Biology 2010-06-02 Teruhiko Yoneyama , Mukkai S. Krishnamoorthy

Burden of disease measures the impact of living with illness and injury and dying prematurely and it is increasing worldwide leading cause of death both global and national. This paper aimed to propose an index of diseases and evaluate a…

Applications · Statistics 2021-05-12 Marvin G. Pizon , Emelyn F. Sagrado

The spread of viral pathogens is inherently a spatial process. While the temporal aspects of viral spread at the epidemiological level have been increasingly well characterized, the spatial aspects of viral spread are still understudied due…

General Economics · Economics 2022-12-14 Yigit Aydede , Jan Ditzen