Tommi Asikainen

PhD student

Postal adress
Matematiska institutionen
Stockholms universitet
106 91 Stockholm

Visiting adress
Kräftriket
(Roslagsv. 101, Stockholm)

Room 314
House 6
Tel +46 8 16 4507
Email tommimath.su.se

Areas of interest
Probability theory
Stochastic modelling of infectious diseases:
Delayed vaccination, in reality all people do not get vaccinated at the same age. The delay can be many years long, there does not seem to be a good stochastic model(yet) if the population is assumed to be heterogeneous.
Spatial models.
Household models, that is we have a heterogeneous population divided into school classes or families. These are the interacting with each other.
Contact tracing versus mass vaccination. Which is the best strategy to prevent further spread of a new disease?
Analysing "hot" diseases, such as SARS and avian flu.
Giving statistical advice in the building of a vaccination registry at SMI, called "SVEVAC".
My research is a co-operation between Stockholm university, Karolinska Institute, Swedish institute for infectious disease control and DG-SANCO . Other work
I am also engaged part-time as a consultant in mathematical statistics at the Swedish institute for infectious disease control, SMI (Smittskyddsinstitutet in swedish). This gives a good way to come in contact with real problems where your statistical knowledge will be stretched to the maximum.
Presentations(in swedish)
Inbjuden föreläsare på SMI-dag om barnvaccinationer för smittskyddsläkare, Smittskyddsinstitutet, september 2002
Inbjuden föreläsare på SMI-dag om vaccinationer i grundskolan för skolsköterskor, Smittskyddsinstitutet, oktober 2003
Inbjuden föreläsare om effekter av minskande vaccinationstäckning mot mässling, Läkarstämman, november 2003
Statistisk analys av smittkoppsutbrottet i Stockholm 1963, EU-modellerar expert möte Salisbury, England, januari 2004
My supervisors
Luckily I have got many competent, enthusiastic and comical supervisors:
Supervisor1: Åke Svensson
who is professor in mathematical statistics, Stockholm University. He is also my colleague at SMI. We are both involved in MODELREL which is an EU-group consisting of the available expertise in epidemic modelling within EU.
Supervisor2: Johan Giesecke
who is state epidemiologist at SMI and professor in infection epidemiology at Karolinska Institutet. He is also my boss at SMI.
And a bunch of people at SMI who help me with practical solutions and and give me new problems. Which is useful since at the university I do not encounter these issues. This is good since medical people rarely think about the statistical issues, while mathematicians do not (always) think about the realistic issues in their models.

Supervision
I do sometimes supervise students in different subjects.
Maria Gahm, Department of statistics, Stockholm university, Salmonella types related to hospital treatment.
Aysel Kulbay, Karolinska hospital, subject not decided.

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