| Literature DB >> 28287609 |
Miguel Bao1,2, Graham J Pierce1,3, Santiago Pascual4, Miguel González-Muñoz5, Simonetta Mattiucci6, Ivona Mladineo7, Paolo Cipriani6,8, Ivana Bušelić7, Norval J C Strachan2,9.
Abstract
Anisakiasis is an emerging zoonosis caused by the fish parasitic nematode Anisakis. Spain appears to have the highest reported incidence in Europe and marinated anchovies are recognised as the main food vehicle. Using data on fishery landings, fish infection rates and consumption habits of the Spanish population from questionnaires, we developed a quantitative risk assessment (QRA) model for the anchovy value chain. Spaniards were estimated to consume on average 0.66 Anisakis per untreated (non-frozen) raw or marinated anchovy meal. A dose-response relationship was generated and the probability of anisakiasis was calculated to be 9.56 × 10-5 per meal, and the number of annual anisakiasis cases requiring medical attention was predicted between 7,700 and 8,320. Monte Carlo simulations estimated post-mortem migration of Anisakis from viscera to flesh increases the disease burden by >1000% whilst an education campaign to freeze anchovy before consumption may reduce cases by 80%. However, most of the questionnaire respondents who ate untreated meals knew how to prevent Anisakis infection. The QRA suggests that previously reported figures of 500 anisakiasis per year in Europe is a considerable underestimate. The QRA tool can be used by policy makers and informs industry, health professionals and consumers about this underdiagnosed zoonosis.Entities:
Mesh:
Year: 2017 PMID: 28287609 PMCID: PMC5347442 DOI: 10.1038/srep43699
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Value chain and process model outline for untreated raw and marinated home-prepared anchovy.
QRA model variables used to determine the probability of anisakiasis per untreated anchovy meal.
| Short description | Section in paper | Variable | Units | Distribution, fixed value or selection | Data source |
|---|---|---|---|---|---|
| Selecting Sea area | Fishing area | Area | Number | RiskDiscrete({1,2,3},{.55,.43,.03}) | |
| Prevalence in muscle fishing area 1 | Prevalence & Intensity | PArea1 | Proportion | 137/2,913 (approximately 0.05) | |
| Prevalence in muscle fishing area 2 | Prevalence & Intensity | PArea2 | Proportion | 136/886 (approximately 0.15) | |
| Prevalence in muscle fishing area 3 | Prevalence & Intensity | PArea3 | Proportion | Fixed value at 0.1313 | |
| Prevalence in muscle of “Area” selected | Prevalence & Intensity | Pselected | Proportion | By IFs from “Area” selected | |
| Number of | Prevalence & Intensity | NparasitesArea1 | Number | RiskDiscrete({1,2,3,4},{.825,.139,.029,.007}) | |
| Number of | Prevalence & Intensity | NparasitesArea2 | Number | RiskDiscrete({1,2,3,4},{.801,.147,.022,.029}) | |
| Number of | Prevalence & Intensity | NparasitesArea3 | Number | RiskDiscrete({1,2,3,4},{.808,.115,.058,.019}) | |
| Number of fillets in a meal | Consumption | Nfillet | Number | RiskDiscrete({1:39},{0.00462: 0.00003}) | Anchovy meal size sub-model; |
| Number of fish in the meal | Consumption | Nfish | Number | Obtained from Nfillet but corrects for 2 fillets per fish | |
| Number of fish with at least one parasite present | Consumption | Nfishinf | Number | RiskBinomial(Nfish,Pselected) | |
| Number of | Consumption | Nparasite | Number | IF(Area = 1,NparasitesArea1)*Nfishinf Select NParasitesArea1 if Area1, do likewise if Area2 or Area3. | |
| Proportion of | Viability | Propviable | Proportion | Set at 1 (100% viable). Also, 0.5 and 0.1. | |
| Number of viable | Viability | Dose | Number | ROUND(Nparasite*Propviable,0) | |
| Dose of parasite required to produce disease in 50 percent of subjects | Hazard characterization | ID50 | Number | RiskDiscrete({5018,24897,8153,15737,10439,45594,10276,32737,828},{.11,.11,.11,.11,.11,.11,.11,.11,.11}) | |
| Probability of one parasite surviving in host to cause disease | Hazard characterization | R | Number | R = -Ln(0.5)/ID50 | |
| Probability of disease per untreated anchovy meal | Risk calculation | Pdisunt | 1-EXP(-R*Dose) | ||
QRA Risk Characterization model variables to determine the number of anisakiasis in Spain (method 1 or Base scenario) and in Spain and its Autonomous Communities (method 2 or Community scenario).
| RISK CHARACTERIZATION SCENARIOS | |||||
|---|---|---|---|---|---|
| METHOD 1 (Base scenario) estimates the number of anisakiasis per year in Spain using anchovy consumption data from questionnaire 1 | |||||
| Short description | Section in paper | Variable | Units | Fixed value | Data source |
| Number of questionnaire respondents | RC Scenarios | Popsize | Number | 716 | Questionnaire 1 |
| Untreated anchovy meals eaten by questionnaire respondents per year | RC Scenarios | Mealsyear | Number | 1,508 | |
| Spanish population aged 18 and over (at 01_07_13) | RC Scenarios | Spanishpop | Number | 38,241,133 | INE |
| Untreated anchovy meals eaten by Spanish population per year | RC Scenarios | Mealsyearspain | Number | Mealsyear*Spanishpop/Popsize = 80,541,619 | |
| Mean number of anisakiasis in Spain per year caused by untreated anchovy meals | RC Scenarios | Anispain | Number | Mealsyearspain*Pdisunt | |
| Standard deviation of Anispain | RC Scenarios | Anispainsd | Number | (Mealsyearspain*Pdisunt*(1-Pdisunt))^0.5 | |
| Normal approximation of the binomial distribution | RiskNormal(Anispain, Anispainsd) | ||||
| Untreated anchovy meals eaten in Spain and its autonomous communities per year | RC Scenarios | Nmunt | Number | Values of “Nmunt” in | |
| Mean number of anisakiasis in Spain and its autonomous communities per year caused by untreated anchovy meals | RC Scenarios | Anispain2 | Number | Nmunt*Pdisunt | |
| Standard deviation of Anispain2 | RC Scenarios | Anispain2sd | Number | (Nmunt*Pdisunt*(1-Pdisunt))0.5 | |
| Normal approximation of the binomial distribution | Number | RiskNormal(Anispain2,Anispain2sd) | |||
aINE (Spanish Statistical Office). Available at: http://www.ine.es/.
bPdisunt: Probability of disease per untreated anchovy meal, see Table 1 at Risk Characterization.
Descriptors of Anisakis spp. infection in European anchovy and fish biometrics.
| Fishing area (n) | Year | TW ± SD (range) | Ninf | Ptotal | Im (range) | Source of data |
|---|---|---|---|---|---|---|
| 1: FAO 37 (2,913) | 2013, 2014, 2015 | 14.90 ± 4.16 (4–31) | 137 | 5% | 1.22 (1–4) | PARASITE project |
| 2: FAO 27 (886) | 2014, 2015 | 21.54 ± 4.83 (12–42) | 136 | 15% | 1.28 (1–4) | PARASITE project |
| 3: FAO 34 (396) | 1998, 1999 | Not available | 52 | 13% | 1.28 (1–4) | Estimated from Rello |
Fishing area (n), area of capture and number of anchovies analysed; year; TW ± SD (range), total mean weight and standard deviation (minimum – maximum) (g); Ninf, number of anchovies with infection in muscle; Ptotal, prevalence of infection in muscle; Im (range), mean intensity of infection in muscle (minimum – maximum).
*Data generated within the EU FP7 PARASITE project (GA no. 312068).
**The TW of 501 anchovies was not available and therefore not included in calculations.
Distribution of the number of parasites in the muscle of infected anchovies by fishing area. N, number of Anisakis spp. in muscle per infected anchovy; Frequency, number of fish infected; Proportion, proportion of fish with Anisakis spp. infection.
| Fishing area 1 | Fishing area 2 | Fishing area 3 | |
|---|---|---|---|
| N | Frequency (proportion) | Frequency (proportion) | Frequency (proportion) |
| 1 | 113 (0.825) | 109 (0.801) | 42 (0.808) |
| 2 | 19 (0.139) | 20 (0.147) | 6 (0.115) |
| 3 | 4 (0.029) | 3 (0.022) | 3 (0.058) |
| 4 | 1 (0.007) | 4 (0.029) | 1 (0.019) |
| Total | 137 (1) | 136 (1) | 52 (1) |
Dose response ID50 values determined for hospital populations (H1, “La Paz”; H2, “Virgen de la Salud”; H3, “Antequera” and H4, “Carlos III”) using dose response methods 1 and 2, and for the questionnaire population (Qaire) using method 3. Results for different viabilities of Anisakis spp. are also presented (100% (Base scenario), 50% and 10%).
| Viability | Method 1 | Method 2 | Method 3 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| H1 | H2 | H3 | H4 | H1 | H2 | H3 | H4 | Qaire | |
| 100% | 5,018 | 24,897 | 8,153 | 15,737 | 10,439 | 45,594 | 10,276 | 32,737 | 828 |
| 50% | 3,421 | 16,975 | 5,559 | 10,730 | 7,117 | 31,087 | 7,006 | 22,321 | 565 |
| 10% | 76 | 377 | 124 | 238 | 158 | 691 | 156 | 496 | 13 |
Figure 2Probability density function of the number of viable Anisakis spp. consumed per untreated anchovy meal with 100% viability (mean 0.66, SD 1.15).
Figure 3(i) Dose response for Anisakis spp. (ID50, mean 17,000, SD 14,000), (ii) inset of dose response at higher resolution for low doses (i.e. exposure between 1 and 10 parasites).
Figure 4Probability density function of the probability of disease (anisakiasis) per untreated anchovy meal (mean 9.56 × 10−5, SD 3.68 × 10−4).
QRA model estimated anisakiasis cases and incidence of disease in Spain during 2013.
| Risk characterization | Anisakiasis ± SD | Percentage | Incidence (cases per 100,000 inhabitants/year) |
|---|---|---|---|
| RC method 1 (Base scenario) | 7,700 ± 90 | 20 | |
| RC method 2 (Community scenario) | 8,320 ± 90 | 7% | 18 |
| Worst case scenario (migration) | 91,100 ± 300 | >1,000% | |
| Risk mitigation scenario (education) | 1,540 ± 40 | −80% |
aPercentage increase/decrease compared to risk characterization method 1.
bIncidence of anisakiasis for Spanish population aged 18 and over (i.e. 38,241,133 inhabitants) (at 01_07_13) (Source: INE (Spanish Statistical Office) available from: http://www.ine.es/).
cIncidence of anisakiasis in the whole Spanish population (i.e. 46,593,236 inhabitants) (at 01_07_13) (Source: INE (Spanish Statistical Office) available from: http://www.ine.es/).
Estimated cases of anisakiasis and its incidence (i.e. cases per 100,000 inhabitants/year) in Spain and its autonomous communities in 2013 using risk characterization method 2 (Community scenario).
| Community | Anisakiasis ± SD | Incidence | Community | Anisakiasis ± SD | Incidence |
|---|---|---|---|---|---|
| Total Spain | 8,320 ± 90 | 18 | Cataluña | 1,140 ± 30 | 15 |
| Andalucía | 2,220 ± 50 | 27 | Extremadura | 160 ± 10 | 14 |
| Aragón | 190 ± 10 | 14 | Galicia | 160 ± 10 | 6 |
| Asturias | 190 ± 10 | 18 | La Rioja | 70 ± 10 | 21 |
| Baleares | 90 ± 10 | 8 | Madrid | 1,280 ± 40 | 20 |
| Canarias | 20 ± 4 | 1 | Murcia | 210 ± 10 | 14 |
| Cantabria | 210 ± 10 | 35 | Navarra | 110 ± 10 | 16 |
| Castilla la Mancha | 430 ± 20 | 21 | País Vasco | 670 ± 30 | 31 |
| Castilla y León | 460 ± 20 | 18 | Valencia | 730 ± 30 | 15 |