Dominant malaria vector species in Nigeria: Modelling potential distribution of Anopheles gambiae sensu lato and its siblings with MaxEnt

Potential distribution of mosquito vector species in a primary malaria endemic region of Colombia

(2017) Mariano Altamiranda-Saavedra et al.   PLoS One

Large diurnal temperature range increases bird sensitivity to climate change

(2015) Michael Briga et al.   Scientific Reports

Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias

(2014) Yoan Fourcade et al.   PLoS One

The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models

(2013) Mindy M. Syfert et al.   PLoS One

Mathematical modeling of infectious disease dynamics

(2013) Constantinos I. Siettos et al.   Virulence

Nigeria Anopheles Vector Database: An Overview of 100 Years' Research

(2011) Patricia Nkem Okorie et al.   PLoS One

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

High Resolution Niche Models of Malaria Vectors in Northern Tanzania: A New Capacity to Predict Malaria Risk?

(2010) Manisha A. Kulkarni et al.   PLoS One

Climate change and the distribution and intensity of infectious diseases

(2009) Richard S. Ostfeld   ECOLOGY

Geographic Distribution and Ecology of Potential Malaria Vectors in the Republic of Korea

(2009) Desmond H. Foley et al.   JOURNAL OF MEDICAL ENTOMOLOGY

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

(2008) Steven J. Phillips et al.   ECOGRAPHY