Using traditional remedies to inspire modern medicines
This interdisplinary study seeks inspiration for modern medicine by investigating how Amazonian populations of different culture perceive disease and how this affects the choice of treatment.
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Building a network of Chagas vectors and hosts
Using co-occurrences of mammalian hosts and insect vectors to understand transmission patterns of the Chagas parasite.
Origins of Renaissance medicine
An analysis of ethnobotanical traditions in 16th century medicine production
Predicting potential zoonotic hosts
Using Complex Inference Networks to predict zoonotic multi-host systems
Modelling the distribution of the southern house mosquito
This study uses GBIF-mediated occurrences to model current and future distributions of a potential vector of several disease-causing agents
Mapping the risk of tick-borne disease
This study presents an interaction network for ticks, hosts and the pathogens their carry
Predicting and preventing further outbreaks of Ebola
Reassessing risk of Ebola through new confirmed cases of human disease combined with virus findings in animals.
Predicting zoonotic spillovers under future environmental stressors
How will global change impact emergence and spread of human infectious diseases?
Predicting risk of malaria in Southeast Asia
This study explores the distributions of reservoir and vector species of the malaria parasite, Plasmodium knowlesi.
Trapping leishmaniasis in Mexico
In Latin America, the protozoan parasite Leishmania mexicana is the causal agent of cutaneous leishmaniasis. Spread by sand flies, this ulcer-causing disease represents a serious public health problem in Mexico.