| Literature DB >> 28176295 |
Francis Hassard1, Jasmine H Sharp2, Helen Taft3, Lewis LeVay1, John P Harris4, James E McDonald5, Karen Tuson1, James Wilson6, David L Jones3, Shelagh K Malham7.
Abstract
We review the risk of norovirus (NoV) infection to the human population from consumption of contaminated shellfish. From a UK perspective, risk is apportioned for different vectors of NoV infection within the population. NoV spreads mainly by person-to-person contact or via unsanitary food handling. NoV also enters the coastal zone via wastewater discharges resulting in contamination of shellfish waters. Typically, NoV persists in the marine environment for several days, with its presence strongly linked to human population density, wastewater discharge rate, and efficacy of wastewater treatment. Shellfish bioaccumulate NoV and current post-harvest depuration is inefficient in its removal. While NoV can be inactivated by cooking (e.g. mussels), consumption of contaminated raw shellfish (e.g. oysters) represents a risk to human health. Consumption of contaminated food accounts for 3-11% of NoV cases in the UK (~74,000 cases/year), of which 16% are attributable to oyster consumption (11,800 cases/year). However, environmental and human factors influencing NoV infectivity remain poorly understood. Lack of standard methods for accurate quantification of infective and non-infective (damaged) NoV particles represent a major barrier, hampering identification of an appropriate lower NoV contamination limit for shellfish. Future management strategies may include shellfish quality assessment (at point of harvest or at point of supply) or harvesting controls. However, poor understanding of NoV inactivation in shellfish and the environment currently limits accurate apportionment and risk assessment for NoV and hence the identification of appropriate shellfish or environmental quality standards.Entities:
Keywords: Aquaculture; Food safety; Norovirus; Norwalk; Oyster; Shellfish
Mesh:
Year: 2017 PMID: 28176295 PMCID: PMC5429388 DOI: 10.1007/s12560-017-9279-3
Source DB: PubMed Journal: Food Environ Virol ISSN: 1867-0334 Impact factor: 2.778
Fig. 1Shellfish areas and sewage outflow distribution in UK waters. Insert top—Northwest Wales coast; inset bottom—Southeast England
data adapted from sanitary survey data (Kershaw et al. 2012)
Prevalence and concentration of norovirus in marine, estuarine, and riverine waters
| Environment | Location | Prevalence % (samples) | Concentration (log10 gc l−1) | Reference | ||
|---|---|---|---|---|---|---|
| GI | GII | GI | GII | |||
| Marine | Brazil | 0% (0/4) | 25.0% (1/4) | – | 6.1 | Marques Souza et al. ( |
| Brazil | 7.5% (10/132) | 4.5% (6/132) | 4.3–5.5 | – | Moresco et al. ( | |
| Brazil | 8.3% (1/12) to 16.7% (2/12) | 8.3% (1/12) | – | – | Victoria et al. ( | |
| China | 66.7% (4/6) | 100% (6/6) | 2.6 ± 1.7 to 3.6 ± 2.1 | 2.7 ± 1.8 to 3.6 ± 2.6 | Yang et al. ( | |
| Europe | 7.9% (38/482) | 8.5% (41/482) | – | – | Wyn-Jones et al. ( | |
| Italy | 30.0%b | – | – | – | Wyn-Jones et al. ( | |
| Italy | – | 16.3%b | – | – | Wyn-Jones et al. ( | |
| Estuarine | Brazil | 8.3% (1/12) | 0% (0/12) | – | – | Victoria et al. ( |
| France | 7.0% (5/70) | 24.0% (17/70) | 3.4 (2.1–3.7) | 4.3 (2.6–5.0) | Zakhour et al. ( | |
| Mexico | – | – | – | – | Hernandez-Morga et al. ( | |
| N. Zealand | 60.0% (9/15) | 100% (15/15) | 1.7 (1.7–1.8) | 2.9 (2.4–3.4) | Hewitt et al. ( | |
| Riverine | Brazil | 41.7% (5/12) | 8.3% (1/12) | – | – | Victoria et al. ( |
| Europe | – | – | – | – | Wyn-Jones et al. ( | |
| Japan | 47.0% (28/60) | 30.0% (18/60) | – | – | Kitajima et al. ( | |
| Japan | – | – | – | – | Ueki et al. ( | |
| N. Zealand | 37.1% (13/35) to 95.2% (20/21) | 37.1% (13/35) to 95.2% (20/21) | 1.7 (1.7–1.7) | 2.0 (1.7–2.4) | Hewitt et al. ( | |
| S. Africa | 12.5% (3/24) to 23.8% (5/21) | 4.8% (1/21) to 23.5% (25/106) | 2.9 (1.7–3.3) | 2.6 (2.0–2.9) | Mans et al. ( | |
| S. Korea | 20.0% (5/25) | 56.0% (14/25) | – | – | Park et al. ( | |
| Netherlands | – | 15.0%b | – | – | Wyn-Jones et al. ( | |
| UK | 10.0%b | – | – | – | Wyn-Jones et al. ( | |
aLog10 genome copies or viral particles per litre of water
bNumber of samples not stated
Estimated food-associated norovirus transmission rates, by country
| Country | Proportion of infections that are food-associated (%) | Reference |
|---|---|---|
| Australia | 25 | Hall et al. ( |
| France | 14 | Vaillant et al. ( |
| The Netherlands | 17 | Havelaar et al. ( |
| UK | 11 | Adak et al. ( |
| USA | 25 | Scallan et al. ( |
Adapted from: ACMSF (2014)
Estimated community cases, GP consultations, and hospital admissions related to food-associated norovirus transmission in the UK using different approaches (2009)
| Modelling approach | Community cases | GP consultations | Hospital admissions |
|---|---|---|---|
| Cases (95% CI) | Cases (95% CI) | Cases (95% CI) | |
| Monte Carlo | 73,420 | 3240 | 470 |
| (50,320–104,000) | (1985–5162) | (270–779) | |
| Bayesian | 74,100 | 3276 | 332 |
| (61,150–89,660) | (2240–4729) | (248–440) |
Adapted from: Tam et al. (2014)
Estimated fraction of norovirus transmitted via different food categories
| Food category | Proportion of food-borne norovirus (%) | |||
|---|---|---|---|---|
| UKa | Netherlandsb | Canadac | USAd | |
| Fish and shellfish | 29 | 34.7 | 35.7 | 35.6 |
| Poultry | 16 | 6.5 | 2.2 | 1.6 |
| Composite and ‘other’ foods | 16 | 10.9 | 7.9 | 0.2 |
| Fruit and vegetables (produce) | 12 | 15.2 | 31.5 | 39 |
| Pork | 11 | 6.5 | 2.3 | 1.5 |
| Eggs | 7 | 4.3 | 0.9 | 1.1 |
| Grains and beans | 7 | 10.8 | 4.3 | 6.1 |
| Unspecified red meat and game | 1 | 0.2 | 9.9 | 10.4 |
| Beef and lamb | 0.5 | 6.5 | 2.7 | 1.5 |
| Dairy products | 0.5 | 4.3 | 2.5 | 3 |
Adapted from: ACMSF (2014)
aTam et al. (2014)
bHavelaar et al. (2008)
cDavidson et al. (2011)
dHoffman et al. (2007)
Number of outbreaks reported to public health England associated with the consumption of shellfish and crustacean between 1992 and 2014 (PHE 2015)
| Year | Outbreaks | Number of individuals affected | |||
|---|---|---|---|---|---|
| Seafood | Shellfish/crustacea | Oysters | Number affected (crustacea/shellfish) | Number affected (oysters) | |
| 1992 | 17 | 14 | 10 | 324 | 183 |
| 1993 | 14 | 10 | 5 | 203 | 74 |
| 1994 | 20 | 11 | 7 | 125 | 104 |
| 1995 | 26 | 15 | 7 | 869 | 76 |
| 1996 | 21 | 8 | 5 | 254 | 81 |
| 1997 | 30 | 14 | 10 | 182 | 100 |
| 1998 | 11 | 6 | 3 | 156 | 42 |
| 1999 | 14 | 4 | 2 | 53 | 27 |
| 2000 | 11 | 7 | 5 | 164 | 32 |
| 2001 | 9 | 5 | 3 | 46 | 21 |
| 2002 | 2 | 1 | 1 | 7 | 7 |
| 2003 | 2 | 2 | 1 | 7 | 3 |
| 2004 | 7 | 5 | 3 | 108 | 37 |
| 2005 | 15 | 9 | 8 | 126 | 92 |
| 2006 | 12 | 11 | 9 | 186 | 44 |
| 2007 | 5 | 2 | 2 | 12 | 12 |
| 2008 | 6 | 5 | 4 | 26 | 24 |
| 2009 | 16 | 11 | 11 | 732 | 732 |
| 2010 | 15 | 13 | 11 | 132 | 101 |
| 2011 | 9 | 7 | 4 | 59 | 32 |
| 2012 | 6 | 4 | 1 | 30 | 13 |
| 2013 | 13 | 13 | 5 | 329 | 91 |
| 2014 | 8 | 6 | 3 | 166 | 18 |
| Total | 289 | 183 | 120 | 4296 | 1946 |
Fig. 2Outbreak size for confirmed and suspected norovirus outbreaks associated with oysters between 1992 and 2014 (PHE 2015)
Fig. 3Number of people affected by gastrointestinal infection outbreaks reported where oysters are the implicated food product, by month of outbreak, between 1992 and 2014 (PHE 2015)
Estimated community cases, GP consultations, and hospital admissions related to shellfish-borne norovirus transmission in the UK (2009)
| Modelling approach | Community cases | GP consultations | Hospital admissions |
|---|---|---|---|
| Cases (95% CI) | Cases (95% CI) | Cases (95% CI) | |
| Monte Carlo | 21,292 | 940 | 136 |
| Bayesian | 21,489 | 950 | 96 |
Calculated from: ACMSF (2014) and Tam et al. (2014)
Assumes a shellfish-borne rate equivalent to the rate of seafood-borne infection