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Vynnycky, E.

Publications and source records attributed to Vynnycky, E..

2 recordsLinked to original sources

Positively interacting strains that circulate in a network structured population induce cycling epidemics of Mycoplasma Pneumoniae

In many countries Mycoplasma pneumoniae (MP) epidemics last approximately one to two years and occur every three to seven years. Poor understanding of the drivers of recurrent MP epidemics limits the predictability of and dynamic responses to the outbreak. Taking into account network structured contacts among people and co-circulating strains of MP, we propose a multi-strain SIRS network model of epidemics of MP where different strains interact during re-infection and within secondary infection. Simulations show that although strain interactions and network-mediated spatial correlations are two separate mechanisms for MP epidemics cycling, each requires very restricted model parameter values such as strong strain interactions and strong network contacts, respectively. When both mechanisms work collectively, MP recurrent epidemics become feasible within the plausible ranges of model parameters. This indicates that positively interacting strains that co-circulate within network contacts induce periodicity and dominant strain shift in observed MP incidence.

epidemiology

Simulations for Designing and Interpreting Intervention Trials in Infectious Diseases

Here we urge the adoption of a new paradigm for the design and interpretation of intervention trials in infectious diseases, particularly in emerging infectious disease, that more accurately reflects the dynamics of the transmission process. Interventions in infectious diseases can have indirect effects on those not receiving the intervention as well as direct effects on those receiving the intervention. Combinations of interventions can have complex interactions at the population level. These often cannot be adequately addressed with standard study designs and analytic methods. Simulations can help to accurately represent transmission dynamics in an increasingly complex world which is critical for proper trial design and interpretation. Some ethical aspects of a trial can also be quantified using simulations. After a trial has been conducted, simulations can be used to explore possible explanations for the observed effects. A great deal is to be gained through a multidisciplinary approach that builds collaborations among experts in infectious disease dynamics, epidemiology, statistical science, economics, simulation methods and the conduct of clinical trials.

epidemiology