Use of norovirus genotype profiles to differentiate origins of foodborne outbreaks

Linda Verhoef; Harry Vennema; Wilfrid van Pelt; David Lees; Hendriek Boshuizen; Kathleen Henshilwood; Marion Koopmans; B. Böttiger; K. Mølbak; C. Johnsen; K. H. von Bonsdorff; L. Maunula; M. Kuusi; P. Pothier; K. Balay; J. Kaplon; G. Belliot; S. le Guyader; E. Schreier; K. Stark; J. Koch; M. Höhne; G. Szücs; G. Reuter; K. Krisztalovics; M. Lynch; B. Foley; P. McKeown; S. Coughlan; E. Duizer; A. Kroneman; Y. van Duynhoven; K. Vainio; K. Nygard; G. Kapperud; M. Poljsak-Prijatelj; D. Barlic-Maganja; A. Hocevar Grom; F. Ruggeri; I. di Bartolo; A. Bosch; A. Dominguez; J. Buesa; A. Sanchez Fauquier; G. Hernández-Pezzi; K. O. Hedlund; Y. Andersson; M. Thorhagen; M. Lysén; M. Hjertqvist

doi:10.3201/eid1604.090723

Use of norovirus genotype profiles to differentiate origins of foodborne outbreaks

Linda Verhoef^*
, Harry Vennema
, Wilfrid van Pelt
, David Lees
, Hendriek Boshuizen
, Kathleen Henshilwood
, Marion Koopmans
, B. Böttiger
, K. Mølbak
, C. Johnsen
, K. H. von Bonsdorff
, L. Maunula
, M. Kuusi
, P. Pothier
, K. Balay
, J. Kaplon
, G. Belliot
, S. le Guyader
, E. Schreier
, K. Stark

J. Koch, M. Höhne, G. Szücs, G. Reuter, K. Krisztalovics, M. Lynch, B. Foley, P. McKeown, S. Coughlan, E. Duizer, A. Kroneman, Y. van Duynhoven, K. Vainio, K. Nygard, G. Kapperud, M. Poljsak-Prijatelj, D. Barlic-Maganja, A. Hocevar Grom, F. Ruggeri, I. di Bartolo, A. Bosch, A. Dominguez, J. Buesa, A. Sanchez Fauquier, G. Hernández-Pezzi, K. O. Hedlund, Y. Andersson, M. Thorhagen, M. Lysén, M. Hjertqvist

^*Corresponding author for this work

National Institute of Public Health and the Environment
Centre for the Environment Fisheries and Aquaculture Science
Food-Borne Viruses in Europe Network

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Because secondary transmission masks the connection between sources and outbreaks, estimating the proportion of foodborne norovirus infections is difficult. We studied whether norovirus genotype frequency distributions (genotype profiles) can enhance detection of the sources of foodborne outbreaks. Control measures differ substantially; therefore, differentiating this transmission mode from person-borne or food handler-borne outbreaks is of public health interest. Comparison of bivalve mollusks collected during monitoring (n = 295) and outbreak surveillance strains (n = 2,858) showed 2 distinguishable genotype profiles in 1) human feces and 2) source-contaminated food and bivalve mollusks; genotypes I.2 and I.4 were more frequently detected in foodborne outbreaks. Overall, ≈21% of all outbreaks were foodborne; further analysis showed that 25% of the outbreaks reported as food handler-associated were probably caused by source contamination of the food.

Original language	English
Pages (from-to)	617-624
Number of pages	8
Journal	Emerging Infectious Diseases
Volume	16
Issue number	4
DOIs	https://doi.org/10.3201/eid1604.090723
Publication status	Published - Apr 2010

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Verhoef, L., Vennema, H., van Pelt, W., Lees, D., Boshuizen, H., Henshilwood, K., Koopmans, M., Böttiger, B., Mølbak, K., Johnsen, C., von Bonsdorff, K. H., Maunula, L., Kuusi, M., Pothier, P., Balay, K., Kaplon, J., Belliot, G., le Guyader, S., Schreier, E., ... Hjertqvist, M. (2010). Use of norovirus genotype profiles to differentiate origins of foodborne outbreaks. Emerging Infectious Diseases, 16(4), 617-624. https://doi.org/10.3201/eid1604.090723

@article{31afcf2013444f0eb7024cbffcd14a8b,

title = "Use of norovirus genotype profiles to differentiate origins of foodborne outbreaks",

abstract = "Because secondary transmission masks the connection between sources and outbreaks, estimating the proportion of foodborne norovirus infections is difficult. We studied whether norovirus genotype frequency distributions (genotype profiles) can enhance detection of the sources of foodborne outbreaks. Control measures differ substantially; therefore, differentiating this transmission mode from person-borne or food handler-borne outbreaks is of public health interest. Comparison of bivalve mollusks collected during monitoring (n = 295) and outbreak surveillance strains (n = 2,858) showed 2 distinguishable genotype profiles in 1) human feces and 2) source-contaminated food and bivalve mollusks; genotypes I.2 and I.4 were more frequently detected in foodborne outbreaks. Overall, ≈21\% of all outbreaks were foodborne; further analysis showed that 25\% of the outbreaks reported as food handler-associated were probably caused by source contamination of the food.",

author = "Linda Verhoef and Harry Vennema and \{van Pelt\}, Wilfrid and David Lees and Hendriek Boshuizen and Kathleen Henshilwood and Marion Koopmans and B. B{\"o}ttiger and K. M{\o}lbak and C. Johnsen and \{von Bonsdorff\}, \{K. H.\} and L. Maunula and M. Kuusi and P. Pothier and K. Balay and J. Kaplon and G. Belliot and \{le Guyader\}, S. and E. Schreier and K. Stark and J. Koch and M. H{\"o}hne and G. Sz{\"u}cs and G. Reuter and K. Krisztalovics and M. Lynch and B. Foley and P. McKeown and S. Coughlan and E. Duizer and A. Kroneman and \{van Duynhoven\}, Y. and K. Vainio and K. Nygard and G. Kapperud and M. Poljsak-Prijatelj and D. Barlic-Maganja and Grom, \{A. Hocevar\} and F. Ruggeri and \{di Bartolo\}, I. and A. Bosch and A. Dominguez and J. Buesa and Fauquier, \{A. Sanchez\} and G. Hern{\'a}ndez-Pezzi and Hedlund, \{K. O.\} and Y. Andersson and M. Thorhagen and M. Lys{\'e}n and M. Hjertqvist",

year = "2010",

month = apr,

doi = "10.3201/eid1604.090723",

language = "English",

volume = "16",

pages = "617--624",

journal = "Emerging Infectious Diseases",

issn = "1080-6040",

publisher = "Centers for Disease Control and Prevention (CDC)",

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Verhoef, L, Vennema, H, van Pelt, W, Lees, D, Boshuizen, H, Henshilwood, K, Koopmans, M, Böttiger, B, Mølbak, K, Johnsen, C, von Bonsdorff, KH, Maunula, L, Kuusi, M, Pothier, P, Balay, K, Kaplon, J, Belliot, G, le Guyader, S, Schreier, E, Stark, K, Koch, J, Höhne, M, Szücs, G, Reuter, G, Krisztalovics, K, Lynch, M, Foley, B, McKeown, P, Coughlan, S, Duizer, E, Kroneman, A, van Duynhoven, Y, Vainio, K, Nygard, K, Kapperud, G, Poljsak-Prijatelj, M, Barlic-Maganja, D, Grom, AH, Ruggeri, F, di Bartolo, I, Bosch, A, Dominguez, A, Buesa, J, Fauquier, AS, Hernández-Pezzi, G, Hedlund, KO, Andersson, Y, Thorhagen, M, Lysén, M & Hjertqvist, M 2010, 'Use of norovirus genotype profiles to differentiate origins of foodborne outbreaks', Emerging Infectious Diseases, vol. 16, no. 4, pp. 617-624. https://doi.org/10.3201/eid1604.090723

TY - JOUR

T1 - Use of norovirus genotype profiles to differentiate origins of foodborne outbreaks

AU - Verhoef, Linda

AU - Vennema, Harry

AU - van Pelt, Wilfrid

AU - Lees, David

AU - Boshuizen, Hendriek

AU - Henshilwood, Kathleen

AU - Koopmans, Marion

AU - Böttiger, B.

AU - Mølbak, K.

AU - Johnsen, C.

AU - von Bonsdorff, K. H.

AU - Maunula, L.

AU - Kuusi, M.

AU - Pothier, P.

AU - Balay, K.

AU - Kaplon, J.

AU - Belliot, G.

AU - le Guyader, S.

AU - Schreier, E.

AU - Stark, K.

AU - Koch, J.

AU - Höhne, M.

AU - Szücs, G.

AU - Reuter, G.

AU - Krisztalovics, K.

AU - Lynch, M.

AU - Foley, B.

AU - McKeown, P.

AU - Coughlan, S.

AU - Duizer, E.

AU - Kroneman, A.

AU - van Duynhoven, Y.

AU - Vainio, K.

AU - Nygard, K.

AU - Kapperud, G.

AU - Poljsak-Prijatelj, M.

AU - Barlic-Maganja, D.

AU - Grom, A. Hocevar

AU - Ruggeri, F.

AU - di Bartolo, I.

AU - Bosch, A.

AU - Dominguez, A.

AU - Buesa, J.

AU - Fauquier, A. Sanchez

AU - Hernández-Pezzi, G.

AU - Hedlund, K. O.

AU - Andersson, Y.

AU - Thorhagen, M.

AU - Lysén, M.

AU - Hjertqvist, M.

PY - 2010/4

Y1 - 2010/4

N2 - Because secondary transmission masks the connection between sources and outbreaks, estimating the proportion of foodborne norovirus infections is difficult. We studied whether norovirus genotype frequency distributions (genotype profiles) can enhance detection of the sources of foodborne outbreaks. Control measures differ substantially; therefore, differentiating this transmission mode from person-borne or food handler-borne outbreaks is of public health interest. Comparison of bivalve mollusks collected during monitoring (n = 295) and outbreak surveillance strains (n = 2,858) showed 2 distinguishable genotype profiles in 1) human feces and 2) source-contaminated food and bivalve mollusks; genotypes I.2 and I.4 were more frequently detected in foodborne outbreaks. Overall, ≈21% of all outbreaks were foodborne; further analysis showed that 25% of the outbreaks reported as food handler-associated were probably caused by source contamination of the food.

AB - Because secondary transmission masks the connection between sources and outbreaks, estimating the proportion of foodborne norovirus infections is difficult. We studied whether norovirus genotype frequency distributions (genotype profiles) can enhance detection of the sources of foodborne outbreaks. Control measures differ substantially; therefore, differentiating this transmission mode from person-borne or food handler-borne outbreaks is of public health interest. Comparison of bivalve mollusks collected during monitoring (n = 295) and outbreak surveillance strains (n = 2,858) showed 2 distinguishable genotype profiles in 1) human feces and 2) source-contaminated food and bivalve mollusks; genotypes I.2 and I.4 were more frequently detected in foodborne outbreaks. Overall, ≈21% of all outbreaks were foodborne; further analysis showed that 25% of the outbreaks reported as food handler-associated were probably caused by source contamination of the food.

UR - https://www.scopus.com/pages/publications/77950638451

U2 - 10.3201/eid1604.090723

DO - 10.3201/eid1604.090723

M3 - Article

C2 - 20350375

AN - SCOPUS:77950638451

SN - 1080-6040

VL - 16

SP - 617

EP - 624

JO - Emerging Infectious Diseases

JF - Emerging Infectious Diseases

IS - 4

ER -

Use of norovirus genotype profiles to differentiate origins of foodborne outbreaks

Abstract

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