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The diversity of Borrelia species discovered in California appears to be particularly high. A divergent group of Borrelia strains collected from Ixodes ticks in California was described by Postic and co-workers and designated 'genomospecies 2' (Postic D, Garnier M, Baranton G. 1998;36:3497-3504). We performed multilocus sequence analysis (MLSA) using eight housekeeping loci (clpA, clpX, nifS, pepX, pyrG, recG, rplB and uvrA) on 12 strains of this Borrelia genospecies to confirm that these strains form a distinct group within the Borrelia burgdorferi s. l. complex (Margos G, Hojgaard A, Lane RS, Cornet M, Fingerle V et al. Ticks Tick Borne Dis 2010;1:151-158). Phylogenetic and genetic distance analyses based on sequences of the MLSA housekeeping genes corroborated the distinctness of this group; genetic distances to all other members of the B. burgdorferi s.l. complex were 96 % or lower. We propose the name Borrelia lanei sp. nov. for this genospecies in honor of Professor Robert S. Lane, University of California Berkeley, for his contributions to Borrelia and tick research. The type strain for Borrelia lanei sp. nov., strain CA28-91 T , has been deposited to two culture collections (=DSM 17992 T =CIP 109135 T ).

BackgroundThere is a high incidence of diarrhea in traveling populations. Norovirus (NV) infection is a common cause of diarrhea and is associated with 7% of all diarrhea related deaths in the US. However, data on the overall prevalence of NV infection in traveling populations is limited. Furthermore, the prevalence of NV amongst travelers returning to Europe has not been reported. This study determined the prevalence of NV among international travelers returning to Germany from over 50 destinations in and outside Europe.MethodsStool samples of a total of 104 patients with a recent (< 14days) history of international travel (55 male, mean age 37 yrs.) were tested for the presence of NV genogroup (GG) I and II infection using a sensitive and well established quantitative RT PCR method. 57 patients experienced diarrhea at the time of presentation at the Department of Infectious Diseases & Tropical Medicine. The remaining 47 patients had no experience of diarrhea or other gastrointestinal symptoms for at least 14 days prior to their date of presentation at our institute.ResultsIn our cohort, NV infection was detected in 15.7% of returning travelers with diarrhea. The closer to the date of return symptoms appeared, the higher the incidence of NV, ranging as high as 21.2% within the first four days after return.ConclusionsIn our cohort, NV infection was shown to be frequent among returning travelers especially in those with diarrhea, with over 1/5 of diarrhea patients tested positive for NV within the first four days after their return to Germany. Due to this prevalence, routine testing for NV infection and hygienic precautions may be warranted in this group. This is especially applicable to patients at an increased risk of spreading the disease, such as healthcare workers, teachers or food-handlers.

For influenza surveillance and diagnosis typical clinical symptoms are traditionally used to discriminate influenza virus infections from infections by other pathogens. During the 2013 influenza season we performed a multiplex assay for 16 different viruses in 665 swabs from patients with acute respiratory infections (ARIs) to display the variety of different pathogens causing ARI and to test the diagnostic value of both the commonly used case definitions [ARI, and influenza like illness (ILI)] as well as the clinical judgement of physicians, respectively, to achieve a laboratory-confirmed influenza diagnosis. Fourteen different viruses were identified as causing ARI/ILI. Influenza diagnosis based on clinical signs overestimated the number of laboratory-confirmed influenza cases and misclassified cases. Furthermore, ILI case definition and physicians agreed in only 287/651 (44%) cases with laboratory confirmation. Influenza case management has to be supported by laboratory confirmation to allow evidence-based decisions. Epidemiological syndromic surveillance data should be supported by laboratory confirmation for reasonable interpretation.