Pathocenosis: a holistic approach to disease ecology.

The history of medicine describes the emergence and recognition of infectious diseases, and human attempts to stem them. It also throws light on the role of changing environmental conditions on disease emergence/re-emergence, establishment and, sometimes, disappearance. However, the dynamics of infectious diseases is also influenced by the relationships between the community of interacting infectious agents present at a given time in a given territory, a concept that Mirko Grmek, an historian of medicine, conceptualized with the word "pathocenosis".

Modelling the effect of temperature on transmission of dengue.

The main entomological parameters involved in the rate of dengue virus transmission include the longevity of female mosquitoes, the time interval between bites and the extrinsic incubation period of the virus. Field and laboratory data provide estimates for these parameters, but their interactions with other factors (e.g.

Using dynamic stochastic modelling to estimate population risk factors in infectious disease: the example of FIV in 15 cat populations.

Background: In natural cat populations, Feline Immunodeficiency Virus (FIV) is transmitted through bites between individuals. Factors such as the density of cats within the population or the sex-ratio can have potentially strong effects on the frequency of fight between individuals and hence appear as important population risk factors for FIV.

Methodology/principal Findings: To study such population risk factors, we present data on FIV prevalence in 15 cat populations in northeastern France.

Emergence of infectious diseases: when hidden pathogens break out.

Our understanding of disease emergence is largely limited by the assumption that disease emergence is the result of increased exposure to pathogenic agents. Pathogen exposure is thought to arise through an increase in the number of interactions between humans and their natural environment, changes in demography and mobility, or through genetic variation in the infectious agents which may alter virulence or ability to infect new host species. The study of new diseases (which are often revealed by unusually severe symptoms or atypical epidemiological patterns) applies the most effort to the research of new pathogens.

When domestic cat (Felis silvestris catus) population structures interact with their viruses.

Many theoretical studies have proposed different causal mechanisms by which the structure of a host population could have important implications for life history traits of pathogens. However, little information is available from real systems to test these hypotheses. The domestic cat, Felis silvestris catus, whose populations exhibit a great variability in social and spatial structure, represent an ideal case study to assess this question.