Coming up with Bayesian models for spatial data is easy, but performing inference with them
can be challenging. Writing fast inference code for a complex spatial model with realistically …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Influenza epidemics vary in intensity from year to year, driven by climatic conditions and by
viral antigenic evolution. However, important spatial variation remains unexplained. Here we …

The lower an individual's socioeconomic position, the higher their risk of poor health in low-,
middle-, and high-income settings alike. As health inequities grow, it is imperative that we …

Infectious disease prevention, control and forecasting rely on sentinel observations;
however, many locations lack the capacity for routine surveillance. Here we show that, by …

Mitigating the effects of disease outbreaks with timely and effective interventions requires
accurate real-time surveillance and forecasting of disease activity, but traditional health care …

Classical swine fever (CSF), caused by CSF virus (CSFV), is considered one of the most
important infectious diseases with devasting consequences for the pig industry. Recent …

Cities and urban thinking might be challenged by the present reality of quarantine, social
distancing, and global disconnection. Will, all of these, drive a change in the way we plan …

Influenza viruses continually evolve new antigenic variants, through mutations in epitopes of
their major surface proteins, hemagglutinin (HA) and neuraminidase (NA). Antigenic drift …

Influenza (sometimes referred to as “flu”) is a contagious viral infection of the airways in the
lungs that affects a significant portion of the world's population. Clinical symptoms of …