Background Interest is growing in predictive risk mapping for neglected tropical diseases
(NTDs), particularly to scale up preventive chemotherapy, surveillance, and elimination …

The primary aim of this review was to evaluate the state of knowledge of the geographical
distribution of all infectious diseases of clinical significance to humans. A systematic review …

Background Quantifying the burden of parasitic diseases in relation to other diseases and
injuries requires reliable estimates of prevalence for each disease and an analytic …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Background Transmission intensity affects almost all aspects of malaria epidemiology and
the impact of malaria on human populations. Maps of transmission intensity are necessary to …

Conventional geostatistical methodology solves the problem of predicting the realized value
of a linear functional of a Gaussian spatial stochastic process S (x) based on observations …

The simple and partial Mantel tests are routinely used in many areas of evolutionary biology
to assess the significance of the association between two or more matrices of distances …

Spatial autocorrelation is a well‐recognized concern for observational data in general, and
more specifically for spatial data in ecology. Generalized linear mixed models (GLMMs) with …

Background Efficient allocation of resources to intervene against malaria requires a detailed
understanding of the contemporary spatial distribution of malaria risk. It is exactly 40 y since …

Background Loiasis is a major obstacle to ivermectin treatment for onchocerciasis control
and lymphatic filariasis elimination in central Africa. In communities with a high level of …