Martin Camitz
Karolinska Institutet
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Featured researches published by Martin Camitz.
PLOS ONE | 2012
Linus Bengtsson; Xin Lu; Quoc Cuong Nguyen; Martin Camitz; Nguyen Le Hoang; Tuan Anh Nguyen; Fredrik Liljeros; Anna Thorson
Objective Lack of representative data about hidden groups, like men who have sex with men (MSM), hinders an evidence-based response to the HIV epidemics. Respondent-driven sampling (RDS) was developed to overcome sampling challenges in studies of populations like MSM for which sampling frames are absent. Internet-based RDS (webRDS) can potentially circumvent limitations of the original RDS method. We aimed to implement and evaluate webRDS among a hidden population. Methods and Design This cross-sectional study took place 18 February to 12 April, 2011 among MSM in Vietnam. Inclusion criteria were men, aged 18 and above, who had ever had sex with another man and were living in Vietnam. Participants were invited by an MSM friend, logged in, and answered a survey. Participants could recruit up to four MSM friends. We evaluated the system by its success in generating sustained recruitment and the degree to which the sample compositions stabilized with increasing sample size. Results Twenty starting participants generated 676 participants over 24 recruitment waves. Analyses did not show evidence of bias due to ineligible participation. Estimated mean age was 22 years and 82% came from the two large metropolitan areas. 32 out of 63 provinces were represented. The median number of sexual partners during the last six months was two. The sample composition stabilized well for 16 out of 17 variables. Conclusion Results indicate that webRDS could be implemented at a low cost among Internet-using MSM in Vietnam. WebRDS may be a promising method for sampling of Internet-using MSM and other hidden groups.
BMC Medicine | 2006
Martin Camitz; Fredrik Liljeros
BackgroundMuch research in epidemiology has been focused on evaluating conventional methods of control strategies in the event of an epidemic or pandemic. Travel restrictions are often suggested as an efficient way to reduce the spread of a contagious disease that threatens public health, but few papers have studied in depth the effects of travel restrictions. In this study, we investigated what effect different levels of travel restrictions might have on the speed and geographical spread of an outbreak of a disease similar to severe acute respiratory syndrome (SARS).MethodsWe used a stochastic simulation model incorporating survey data of travel patterns between municipalities in Sweden collected over 3 years. We tested scenarios of travel restrictions in which travel over distances >50 km and 20 km would be banned, taking into account different levels of compliance.ResultsWe found that a ban on journeys >50 km would drastically reduce the speed and geographical spread of outbreaks, even when compliance is < 100%. The result was found to be robust for different rates of intermunicipality transmission intensities.ConclusionThis study supports travel restrictions as an effective way to mitigate the effect of a future disease outbreak.
Applied Mathematics and Computation | 2011
Xin Lu; Martin Camitz
By repeatedly combining the source node’s nearest neighbor, we propose a node combination (NC) method to implement the Dijkstra’s algorithm. The NC algorithm finds the shortest paths with three simple iterative steps: find the nearest neighbor of the source node, combine that node with the source node, and modify the weights on edges that connect to the nearest neighbor. The NC algorithm is more comprehensible and convenient for programming as there is no need to maintain a set with the nodes’ distances. Experimental evaluations on various networks reveal that the NC algorithm is as efficient as Dijkstra’s algorithm. As the whole process of the NC algorithm can be implemented with vectors, we also show how to find the shortest paths on a weight matrix.
Archive | 2011
Martin Camitz; Fredrik Liljeros
Much research in epidemiology has been focused on evaluating conventional methods of control strategies in the event of an epidemic or pandemic. Travel restrictions are often suggested as an effici ...
Journal of The Royal Statistical Society Series A-statistics in Society | 2012
Xin Lu; Linus Bengtsson; Tom Britton; Martin Camitz; Beom Jun Kim; Anna Thorson; Fredrik Liljeros
Eurosurveillance | 2009
Lisa Brouwers; Baki Cakici; Martin Camitz; Anders Tegnell; Magnus Boman
arXiv: Applications | 2010
Xin Lu; Linus Bengtsson; Tom Britton; Martin Camitz; Beom Jun Kim; Anna Thorson; Fredrik Liljeros
Eurosurveillance | 2010
Lisa Brouwers; Magnus Boman; Martin Camitz; Kalle Mäkilä; Anders Tegnell
Eurosurveillance | 2009
Martin Camitz
arXiv: Other Computer Science | 2009
Lisa Brouwers; Martin Camitz; Baki Cakici; Kalle Mäkilä; Paul Saretok