A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States

A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States

As infectious disease modelers, one of the greatest challenges we face is in accurately reflecting the complexities of transmission, particularly human behavior. Important factors we…

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Disasters collide at the intersection of extreme weather and infectious diseases

Disasters collide at the intersection of extreme weather and infectious diseases

Natural disasters like hurricanes, droughts, and floods are becoming increasingly frequent and severe as a result of global climate change and human activities. Perhaps more…

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Anticipating epidemic transitions in metapopulations with multivariate spectral similarity

Anticipating epidemic transitions in metapopulations with multivariate spectral similarity

The control and prediction of emerging pathogens are major challenges for the health and safety of the public, as they are among the most unpredictable…

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OutbreakTrees: an Open-access database of infectious disease transmission trees

OutbreakTrees: an Open-access database of infectious disease transmission trees

Transmission trees describe who infected whom during outbreaks of infectious diseases (see example tree below). These data are routinely collected through resource intensive methods including…

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Environmental Predictors of Schistosomiasis Persistent Hotspots following Mass Treatment with Praziquantel

Environmental Predictors of Schistosomiasis Persistent Hotspots following Mass Treatment with Praziquantel

Schistosomiasis is a parasitic disease that impairs the physical and cognitive development of more than 200 million individuals globally, as a result of physiological disruptions…

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Disentangling reporting and disease transmission

Disentangling reporting and disease transmission

Second order statistics such as variance and autocorrelation can in principle provide early warning of disease (re-)emergence. Such statistics can detect the approach to an…

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The statistics of epidemic transitions

The statistics of epidemic transitions

The prevalence of a pathogen emerging in a population varies in a complex manner that is difficult to model and predict, due in part to…

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Transmissibility of emerging viral zoonoses

Transmissibility of emerging viral zoonoses

Effective public health efforts require an accurate understanding of which virus species are capable of spreading between humans or may develop this ability in the…

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Oocysts of the genus Eimeria, a group of protozoans that infect a wide range of animal species

Predicting cryptic links in host-parasite networks

Host-parasite networks are built from a vast number of interactions, which may change seasonally or based on host densities. This combination of complexity and uncertainty…

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Data-driven identification of potential Zika virus vectors

Data-driven identification of potential Zika virus vectors

Zika is an emerging virus whose rapid spread is of great public health concern. Knowledge about transmission remains incomplete, especially concerning potential transmission in geographic…

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