During the last three decades, Bayesian methods have developed greatly in the field of
epidemiology. Their main challenge focusses around computation, but the advent of Markov …

The use of complex statistical models has recently increased substantially in the context of
species distribution behavior. This complexity has made the inferential and predictive …

Background Leishmaniasis is endemic in 98 countries with an estimated 350 million people
at risk and approximately 2 million cases annually. Brazil is one of the most severely affected …

Modern methods for quantifying, predicting and mapping species distributions have played
a crucial part in biodiversity conservation. Occupancy models have become a popular …

Monitoring and control of West Nile virus (WNV) presents a challenge to state and local
vector control managers. Models of mosquito presence and viral incidence have revealed …

Understanding the distribution of traffic in time and space over available infrastructure is a
fundamental problem in transportation research. However, pedestrian activity is rarely …

Exposure to high levels of air pollutant concentration is known to be associated with
respiratory problems which can translate into higher morbidity and mortality rates. The link …

As an alternative to traditional venture capital investment, crowdfunding has emerged as a
novel method and potentially disruptive innovation for financing a variety of new …

The main goal of disease mapping is to estimate disease risk and identify high-risk areas.
Such analyses are hampered by the limited geographical resolution of the available data …

This study was designed to compare the performance–in terms of bias and accuracy–of four
different parametric, semiparametric and nonparametric methods in spatially predicting a …