Skip to main content

ORIGINAL RESEARCH article

Front. Vet. Sci., 09 May 2024
Sec. Veterinary Infectious Diseases
This article is part of the Research Topic One Health Approach in Addressing Microbial Food-Safety Challenges View all 5 articles

Assessing concordance between Campylobacter prevalence in broilers and human cases before and during the COVID-19 pandemic in Lower Saxony, Germany, considering fresh chicken meat consumption patterns

  • 1Science and Innovation for Sustainable Poultry Production (WING), University of Veterinary Medicine Hannover, Foundation, Vechta, Germany
  • 2Institute for Animal Nutrition, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany
  • 3Institute for Animal Hygiene, Animal Welfare and Farm Animal Behaviour, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany

As the most common foodborne disease, number of campylobacteriosis decreased in Germany with the beginning of the COVID-19 pandemic in 2020. As the consumption of fresh chicken meat is a major risk factor for human infection, this study investigated the relationship between Campylobacter contamination levels on chicken carcasses and human cases in Lower Saxony, Germany and observed fresh chicken meat consumption patterns between 2018 and 2021 including the time of the COVID-19 pandemic. Campylobacter levels in broilers and human cases were classified based on the median and descriptively analysed per week using contingency tables. Before the COVID-19 pandemic (2018 and 2019), high Campylobacter contamination levels on neck samples and many human cases were more present, whereas with the beginning of the COVID-19 pandemic (2020 and 2021), low contamination levels on chicken carcasses and few human cases were more present. Lowest concordance between both parameters was shown in 2018 (Cohen’s cappa coefficient: 0.37) and 2020 (0.38). The highest concordance was examined in 2021 (0.69). The private consumption of fresh chicken meat in Lower Saxony increased significantly with the beginning of the COVID-19 pandemic in 2020 by 63.9 tonnes compared to 2019 to an average of 453.5 tonnes per week. Public health measures and a reduced number of medical treatments have undoubtedly had an impact on less reported human cases during the COVID-19 pandemic. However, number of human cases remained at a low level in Germany in 2023 while chicken meat consumption increased. Thus, further risk assessments regarding the risk of campyloabcteriosis due to chicken meat consumption should include the country of origin, as the level of contamination of chicken carcasses varies between European countries.

1 Introduction

Campylobacter spp. is the most common foodborne bacterial pathogen in Germany and the European Union (1, 2). The consumption of chicken meat has been identified as an important risk factor for campylobacteriosis in several countries (36). Around one third of human cases could be avoided if the risk factor of eating chicken was not present (7). Chickens as a reservoir for Campylobacter can attribute for 50 to 80% of human cases (8). Controlling campylobacteriosis as a zoonotic pathogen is part of the One Health Approach, which states that human and animal health and the environment are closely interlinked. With the introduction of mandatory testing for Campylobacter at slaughterhouses as part of the process hygiene criterion (PHC) for Campylobacter to reduce the risk of campylobacteriosis, the One Health approach has become increasingly important along the chicken meat production value chain in recent years (9). An evaluation of neck skin samples of chicken carcasses from several slaughter lines in Northwest Germany since the beginning of microbiological testing for Campylobacter in January 2018 showed, that the proportion of highly contaminated samples (>1,000 colony forming units per gram (cfu/g)) of Campylobacter dropped by almost half from 19.4% in 2018 to 10.5% in 2021 (10).

The per capita consumption of chicken meat in Germany increased by 1 kg from 14.3 kg in 2018 to 15.3 kg in 2021 (11). Thus, chicken meat plays an increasingly important role for nutritional reasons and the poultry sector is therefore of growing economic importance. In Germany, 486,331 tonnes of poultry meat were purchased at retail in 2020 (12). This was 14.6% more than the previous year and can be related to the temporary closure of restaurants at certain times during the COVID-19 pandemic. Panzone et al. (13) showed that the COVID-19 restrictions in the UK resulted in an increase in sales for food retailers and a simultaneous loss in sales for restaurants and non-food retailers (13).

The number of notifiable gastrointestinal diseases decreased in Germany with the beginning of the COVID-19 pandemic in 2020. Regarding campylobacteriosis, only 46,000 human cases were reported in 2020, which was 33% less than the median of the five previous years (1). The number of Campylobacter enteritis cases decreased in many countries worldwide in 2020 (14). In the European Union, a total of about 120,000 cases of campylobacteriosis were reported in 2020 (15). Previous studies have shown seasonal fluctuations with a higher number of human cases in the summer months (16, 17). Higher prevalences of Campylobacter in the summer months were also detected in broiler flocks (18, 19). Jore et al. (20) described a concordant seasonality between Campylobacter in broilers and human Campylobacter enteritis cases in six European countries (20). Thus, there seems to be a relationship between Campylobacter in broilers and the number of campylobacteriosis. Correlation analysis showed a higher association between highly contaminated (>1,000 cfu/g Campylobacter) neck samples of chicken carcasses and Campylobacter enteritis cases in Northwest Germany before the COVID-19 pandemic than during the pandemic (10).

With the beginning of the COVID-19 pandemic, government at federal and state level revised strict public health measures to reduce the spread of the coronavirus. There are numerous hypotheses to what extent a decrease in gastrointestinal diseases like Campylobacter was related to the COVID-19 pandemic and the associated public health measures in Germany (21). These include fewer restaurant visits, the ban on major events, improved hand hygiene, less travel activities and reduced use of medical care (2224). As restaurants were closed at certain times during the COVID-19 pandemic, the risk factor of Campylobacter infection due to the consumption of chicken meat at the restaurant should have been less relevant at that time.

This study analysed the relationship between Campylobacter contamination levels in broilers at slaughterhouses in Northwest Germany and the number of Campylobacter enteritis cases in Lower Saxony (LS), a federal state of Germany with a population of around 8 million people. The period of investigation covered 4 years from 2018 to 2021. The aim was to analyse to which extent Campylobacter contamination levels on chicken carcasses in slaughterhouses and the number of Campylobacter enteritis cases in LS are related. Taking into account the special situation of the COVID-19 pandemic, the aim of the study was to understand the risk associated with the private consumption of fresh chicken meat during the pandemic. With Campylobacter being the most important zoonotic pathogen regarding foodborne diarrhoeal diseases, the scientific results also serve the One Health approach in Germany.

2 Materials and methods

2.1 Campylobacter levels in broilers

As part of the PHC for Campylobacter, slaughterhouses in the European Union have been obliged to test neck skin samples of chicken carcasses for Campylobacter since 1 January 2018. This study included the Campylobacter contamination levels on chicken carcasses, obtained from the food business operators as part of the PHC in accordance with Regulation (EC) No 2017/1495, from several slaughterhouses in Northwest Germany from 2018 to 2021 (9). A total of 15 neck skin samples were analysed weekly. Three samples were pooled (one pool sample weighing 26 g) and examined in the laboratory using the analytical reference method ISO 10272-2 (25). Thus, 9 portions (234 mL) of buffered peptone water were added to the 26 g test quantity for the initial dilution in the laboratory. 10 mL of the mixture of the initial dilution were added to an empty sterile tube; 1 mL of this 10 mL were used for the enumeration of Campylobacter on selective plates. Each slaughterhouse had five weekly quantitative microbiological results on the occurrence of Campylobacter available since 1 January 2018.

2.2 Data on human Campylobacter cases

According to (§7) of the German Protection against Infection Act, campylobacteriosis is a notifiable disease. The laboratory detection is reported to the Robert Koch Institute (RKI), the federal public health institute, via the health authorities (16). The number of Campylobacter enteritis cases are publicly accessible via SurvStat@RKI 2.0 (26). In this research project, the number of reported Campylobacter enteritis cases in LS, Germany from 2018 to 2021 were included.

2.3 Methodology

The neck skin samples of chicken carcasses according to PHC for Campylobacter were valued based on the slaughter quantity of the individual slaughter lines. The geometric mean of all microbiological results (cfu/g Campylobacter) from all slaughter lines per calendar week (CW) was calculated. The median was determined using the geometric mean values from the first CW of 2018 to the 52nd CW of 2021. The median of 176 cfu/g Campylobacter was used to classify the contamination levels of chicken carcass neck samples into “low level of contamination” and “high level of contamination.”

A similar classification was used for the weekly reported human Campylobacter enteritis cases in LS. The median of reported Campylobacter enteritis cases from the first CW of 2018 to the 52nd CW of 2021 was determined (88 human cases) and used to classify the amount of cases into “few human cases” and “many human cases.”

For further analysis, a two-week delay was calculated between the examination of chicken carcasses at slaughterhouses and human cases, as has already been done in previous studies (27, 28).

2.4 Private consumption behavior of fresh chicken meat in Lower Saxony

The Association for Consumer Research (Gesellschaft für Konsumforschung (GfK)) is a consumer panel with a representative sample of consumers whose (purchasing) behavior is measured. This study considered the weekly private consumption behavior of fresh chicken meat in tonnes in LS from 1 January 2018 to 31 December 2021, in order to determine differences in the quantity of the private consumption behavior of fresh chicken meat. The average weekly private consumption behavior of fresh chicken meat in tonnes in LS was compared annually from 2018 to 2021. In addition, data were compared between specific time periods within a year. A time period extended over four CWs. A calendar year began with time period one from week 1–4, followed by time period two from week 5–8, etc., and the calendar year ended with time period 13 from week 49–52. This amounted to 13 time periods per calendar year.

2.5 Treatment cases in Lower Saxony specific to specialist groups

The Association of Statutory Health Insurance Physicians of LS (Kassenärztliche Vereinigung Niedersachsen (KVN)) provided the total number of human medical treatments for all specialist groups in LS. The number of medical treatments is available to us on a quarterly basis and is presented on a comparative basis from the first quarter of 2018 to the fourth quarter of 2021.

2.6 Statistical analysis

Data analysis was performed using the SAS statistical software package, version 7.1 (SAS Inst., Cary, NC, United States). After classification of Campylobacter contamination levels of chicken carcass neck samples and human cases, both characteristics were shown and descriptively analysed using table analyses. Pearson’s chi-square homogeneity test was used to determine if there was an association between the two parameters. Cohen’s kappa coefficient as a descriptive measure of agreement was analysed and evaluated according to Altman: values of <0.20 are poor, 0.21–0.40 fair, 0.41–0.60 moderate, 0.61–0.80 good and 0.81–1.00 very good (29). In addition, the McNemar test was used for differences in the marginal distributions.

The data on private consumption behavior of fresh chicken meat were analysed descriptively by mean values, minimum, maximum and standard deviation. To test for normal distribution, a Shapiro–Wilk test was performed. Data were checked for significant differences with the Ryan-Einot-Gabriel-Welsch-test (one-way ANOVA). All statements of statistical significance were based on p < 0.05.

3 Results

3.1 Relationship between Campylobacter levels in broilers and human Campylobacter enteritis cases

In the following section, each table (Tables 14) shows the relationship between Campylobacter levels on neck samples of chicken carcasses at slaughterhouse and human cases in LS for 1 year from 2018 to 2021. Campylobacter contamination levels on neck samples were classified into “low level of contamination” and “high level of contamination.” Human cases were also classified into “few cases” and “many cases.” Each table (Tables 14) illustrates 1 year (52 CWs) from 2018 to 2021.

Table 1
www.frontiersin.org

Table 1. Relationship between Campylobacter contamination levels on chicken carcasses and human Campylobacter enteritis cases in Lower Saxony in 52 calendar weeks in 2018.

Table 2
www.frontiersin.org

Table 2. Relationship between Campylobacter contamination levels on chicken carcasses and human Campylobacter enteritis cases in Lower Saxony in 52 calendar weeks in 2019.

Table 3
www.frontiersin.org

Table 3. Relationship between Campylobacter contamination levels on chicken carcasses and human Campylobacter enteritis cases in Lower Saxony in 52 calendar weeks in 2020.

Table 4
www.frontiersin.org

Table 4. Relationship between Campylobacter contamination levels on chicken carcasses and human Campylobacter enteritis cases in Lower Saxony in 52 calendar weeks in 2021.

As shown in Table 1, most of the 52 CWs were located in the lower right quadrant in 2018. Thus, a “high level of contamination” on neck samples and “many human cases” occurred at the same time in 24 CWs. The smallest number was located in the upper right quadrant, 4 weeks in which “few human cases” and a “high level of contamination” on neck samples occurred at the same time. In 2018, “many human cases” were reported in a total of 36 CWs, whereas “few human cases” were reported in 16 CWs.

Table 2 shows the highest number in the lower right quadrant, 21 CWs in which “high level of contamination” on neck samples and “many human cases” occurred at the same time in 2019. In 18 CWs, a “low level of contamination” on neck samples and “few human cases” occurred simultaneously. The smallest number (five CWs) is shown in the upper right quadrant with a “high level of contamination” on neck samples and “few human cases” reported at the same time. “Few human cases” were reported in 23 CWs, “many human cases” in 29 CWs.

In 22 CWs, there were a “low level of contamination” on neck samples and “few human cases” at the same time in 2020 as shown in Table 3. A “high level of contamination” and “many human cases” were reported in 14 CWs. The lowest amount (4 CWs) is located in the lower left quadrant in 2020 with a “low level of contamination” and “many human cases” reported at the same time. In 2020, “few human cases” were reported in 34 CWs and “many human cases” in 18 CWs.

As shown in Table 4, most 24 CWs were located in the upper left quadrant in which a “low level of contamination” on chicken carcass neck samples and “few human cases” occurred at the same time. In 19 CWs, a “high level of contamination” and “many human cases” were reported simultaneously. The lowest amount of 3 CWs was located in the lower left quadrant in 2021 in which a “low level of contamination” on neck samples and “many human cases” occurred at the same time. “Few human cases” were reported in 30 CWs and “many human cases” in 22 CWs.

Table 5 shows the statistical results of Cohen’s kappa coefficient and the McNemar test for each contingency table (Tables 14) from 2018 to 2021. The lowest Cohen’s kappa-coefficient value of 0.37 was obtained in 2018 and the highest value in 2021 (0.69). In 2020, the Cohen’s kappa-coefficient value of 0.38 was almost as low compared to 2018. In 2019, there was a Cohen’s kappa-coefficient value of 0.5. McNemar test with a value of 4 showed that there was a higher difference in the marginal distributions in 2018 and 2020 compared to 2019 and 2021. However, the p-value of the McNemar test was not significant, neither in 2018 nor in 2020.

Table 5
www.frontiersin.org

Table 5. Cohen’s kappa coefficient, McNemar test and exact p-value of McNemar test for contingency tables (Tables 14) from 2018 to 2021.

Table 6 shows the development of the following parameters from 2018 to 2021: Proportion (%) of CWs with ‘high’ Campylobacter contamination levels on chicken carcasses, proportion (%) of CWs with ‘many’ human Campylobacter enteritis cases, and the average weekly private consumption behavior of fresh chicken meat (tonnes) in Lower Saxony. The percentage of CWs with high Campylobacter contamination levels on chicken carcasses was highest in 2018 (53.8%) and lowest in 2021 (48.1%). In 69.2% of the CWs in 2018, many human cases were reported. In 2020, many human cases were reported in only 34.6% of the CWs. The average weekly private consumption of fresh chicken meat was highest in 2020. The lowest amount was consumed in 2018. Statistical analyses of this parameter are shown in Table 7.

Table 6
www.frontiersin.org

Table 6. Overview of the development of the following parameters: proportion (%) of calendar weeks with ‘high’ Campylobacter contamination levels on chicken carcasses, proportion (%) of calendar weeks with ‘many’ human Campylobacter enteritis cases, and the average weekly private consumption behavior of fresh chicken meat (tonnes) in Lower Saxony from 2018 to 2021.

Table 7
www.frontiersin.org

Table 7. Average weekly private consumption behavior of fresh chicken meat in tonnes in Lower Saxony from 2018 to 2021 according to Gesellschaft für Konsumforschung (GfK).

3.2 Private consumption behavior of fresh chicken meat in LS

In the following section, the private consumption behavior of fresh chicken meat in tonnes in LS from 2018 to 2021 is presented.

3.2.1 Private consumption behavior of fresh chicken meat per year

Table 7 displays and compares the average weekly private consumption behavior of fresh chicken meat in tonnes in LS from 2018 to 2021. There was a significantly higher amount of fresh chicken meat consumed in 2020 and 2021 compared to 2018 and 2019 (p < 0.05) with the highest amount consumed in 2020 with 453.4 tonnes. The lowest amount of fresh chicken meat was consumed in 2018 (352.6 tonnes), this was about 100 tonnes less compared to 2020.

3.2.2 Private consumption behavior of fresh chicken meat per time period

Figure 1 shows the average weekly private consumption behavior of fresh chicken meat in tonnes in LS for each time period from 2018 to 2021. Additional statistical analyses are shown in Supplementary Table A.

Figure 1
www.frontiersin.org

Figure 1. Average weekly private consumption behavior of fresh chicken meat in tonnes in Lower Saxony for each time period from 2018 to 2021 according to Gesellschaft für Konsumforschung (GfK).

As shown in Figure 1, in 2018 and 2019 the private consumption behavior of fresh chicken meat was significantly higher in time period 2 (Supplementary Table A). In 2020, a significantly higher amount was consumed in time period 12 and in 2021, the consumption was significantly higher in time period 1 (Supplementary Table A). Over the 4 years from 2018 to 2021, a significantly lower proportion was consumed in time period 8 in each year (p < 0.05) (Supplementary Table A).

3.3 Medical treatments in Lower Saxony

Figure 2 shows the number of human medical treatments in LS provided by the Association of Statutory Health Insurance Physicians of LS (KVN) from the first quarter of 2018 to the fourth quarter of 2021.

Figure 2
www.frontiersin.org

Figure 2. Number of total human medical treatments in Lower Saxony from first quarter 2018 to fourth quarter 2021 according to Kassenärztliche Vereinigung Niedersachsen (KVN).

As shown in Figure 2, the number of medical treatments were lower in the second quarter 2020 (12.5 million medical treatments) compared to the other quarters.

4 Discussion

4.1 Relationship between Campylobacter levels in broilers and human Campylobacter enteritis cases

The temporal relationship between Campylobacter contamination levels in broilers in slaughterhouses and human cases in LS was analysed from 2018 to 2021. A delay of 2 weeks between microbiological testing of chicken carcass neck samples and human cases in LS was calculated based on an expected time lag between slaughter and consumption up to the laboratory diagnostic detection of campylobacteriosis. A two-week delay has been adopted in previous studies (27, 28).

During the investigated period, which included the COVID-19 pandemic, the highest concordance between contamination levels on neck samples and reported Campylobacter enteritis cases in LS was analysed in 2021 (Cohen’s Kappa Coefficient: 0.69) (Table 5). A lower concordance was examined in 2018 (0.37) and 2020 (0.38). A concordant seasonality of broiler prevalence and human cases has been shown before in the literature (20). Concerning the relationship between Campylobacter in broilers and human cases, an infection of poultry and humans by a common source has been discussed previously (30, 31). Thus, climatic factors such as temperature and humidity were considered as a source of human incidence (32, 33).

This study showed that before the COVID-19 pandemic, in 2018 and 2019, in the majority of the 52 CWs a high Campylobacter contamination level on neck samples and many human cases were recorded at the same time. However, with the beginning of the COVID-19 pandemic in 2020, in most of the CWs a low level of contamination on chicken carcasses and few human cases were present simultaneously in 2020 and 2021. These results align with Rosenquist et al. (34) who identified an association between a reduction in contamination levels of Campylobacter found on chicken carcasses in slaughterhouses and a reduction in Campylobacter enteritis cases. The closing of restaurants at various times during the COVID-19 pandemic might have led to fewer reported human cases, as eating at restaurants poses a high risk of campylobacteriosis (7). To analyse this risk factor during the COVID-19 pandemic, additional data on the proportion of chicken meat consumed at restaurants would be necessary. However, there is no data acquisition from the state or private sector on the amount of chicken meat consumed in the hospitality industry in LS. With eating at restaurants being a risk factor for campylobacteriosis, the country of origin of chicken meat consumed at restaurants is of great interest, as Campylobacter contamination levels on chicken carcasses in slaughterhouses, examined in frame of the PHC for Campylobacter, vary between European countries (2, 35). Depending on whether chicken meat originated from German farms or abroad with possibly higher Campylobacter contamination levels on chicken carcasses, this could have influenced the risk of campylobacteriosis due to chicken meat consumed at German restaurants. Tedersoo et al. (36) investigated a higher risk of campylobacteriosis by imported fresh chicken meat compared to chicken meat originating from Estonia. Low Campylobacter contamination levels on chicken carcasses at domestic abattoirs, as previously described in Northwest Germany, would therefore have had an impact on less reported human cases during the COVID-19 pandemic (10). Skarp et al. (31) mentioned that in countries with low Campylobacter levels in broilers, other sources than broilers may play a larger role for human infection.

Other risk factors for campylobacteriosis might have also been less relevant during the COVID-19 pandemic, despite the risk factor of chicken meat consumption. Regarding the discordant values (Tables 14) before the pandemic, in 2018 and 2019, low contamination levels on chicken carcasses and many human cases were reported at the same time in the majority of the weeks. During the pandemic (2020 and 2021), those values shifted and high contamination levels on chicken carcasses and few human cases were reported simultaneously in the majority of the weeks. Especially in 2018 and 2020 the asymmetry was high (p-value of McNemar test in both years: 0.08) (Table 5). In 2018 in particular, a low level of Campylobacter on chicken carcasses and many human cases were reported in 12 CWs as shown in Table 1, whereas in 2020, high Campylobacter levels on chicken carcasses and few human cases were reported in the majority of the 12 CWs as shown in Table 3. These results suggest that before the COVID-19 pandemic in 2018 and 2019 external risk factors which are not related to the consumption of chicken meat, such as travelling abroad, may have contributed more to the number of Campylobacter enteritis cases than during the COVID-19 pandemic (37). Since foreign travel in Germany decreased in 2020 due to the pandemic compared to the previous year (38). In contrast, with the beginning of the COVID-19 pandemic, public health measures like social distancing and handwashing, and a lower number of visits to the physicians may have led to a reduced number of human cases despite the simultaneously high Campylobacter contamination level on chicken carcasses at that time (Tables 3, 4).

With the beginning of the COVID-19 pandemic in Germany in March 2020, fewer Campylobacter enteritis cases were reported to the RKI in LS compared to previous years (Supplementary Table B). With the first measures enacted by the state government in CW 12 in 2020 to reduce the spread of the coronavirus, less than half as many human cases were reported in LS in the time period four from week 13–16 in 2020 (99 human cases) compared to the same period in 2019 (227 human cases) (39, 40) (Supplementary Table B). It can be assumed that the fewer reported human cases were partly attributed to a reduced utilisation of medical care with the beginning of the pandemic. As shown in Figure 2 the number of human medical treatments in LS were lower in the second quarter of 2020 compared to other quarters. Jördens et al. (41) reported a decrease in gastroenterology consultations in Germany in the second quarter of 2020 compared to 2019. Thus, during the COVID-19 pandemic Campylobacter enteritis cases and other infectious diseases were probably not detected as often as in previous quarters, especially during the second quarter of 2020 (Figure 2). It is likely that person-to-person transmitted diseases showed a stronger decrease compared to foodborne transmitted pathogens like Campylobacter because of public health measures like social distancing and hand washing (4244). A direct risk assessment including the number of human medical treatments in LS could not be carried out, since the Association of Statutory Health Insurance Physicians of LS [Kassenärztliche Vereinigung Niedersachsen (KVN)] provided the data only on a quarterly basis. In addition, the number of human medical treatments in LS included all specialist groups, therefore a differentiation between specialist groups is not possible. The number of gastroenterology consultations would have been necessary for a differentiated risk assessment.

4.2 Private consumption behavior of fresh chicken meat in LS

Campylobacter incidence was probably affected by different public health restrictions to contain the spread of the coronavirus, which included the closure of restaurants at various times during the COVID-19 pandemic in LS. This primarily implicated the first hard lockdown starting in CW 12 in 2020 and the second partial lockdown starting in CW 45 in 2020 (39, 40, 45). This led to a massive decline in eating out consumption and a sharp drop in sales in the hospitality industry from March to June 2020 and from November 2020 to March 2021 as shown in Supplementary Figure B, with highest sales losses in April 2020 (−72.6%). Since gradual lifting of the measures in the hospitality sector was first decreed in May 2020, more precisely in CW 20 in 2020 and CW 21 in 2020 (46, 47), the continued high sales losses in LS of 38.8% in June 2020 compared to 2019 and an ongoing reduced mobility behavior in LS in June 2020 could be an indication that citizens were unsettled by the coronavirus and still avoided eating out (Supplementary Figures B,C)

The per capita consumption of chicken meat in Germany increased from 14.4 kg in 2019 to 14.9 kg in 2020 (11). The temporary closure of restaurants during the COVID-19 pandemic suggests that chicken meat consumption shifted from restaurants to private consumption at home. The average weekly private consumption behavior of fresh chicken meat in LS was significantly higher in 2020 and 2021 compared to 2018 and 2019, leading to the highest consumption behavior with an average of 453.4 tonnes per week in 2020 (Table 7). This was 63.9 tonnes per week more than in 2019, the year before the COVID-19 pandemic began. A particularly large amount of fresh chicken meat was consumed at the end of 2020 in time period 12 (573.5 tonnes per week) and time period 13 (522.5 tonnes per week) and at the beginning of 2021 with 555.6 tonnes per week in time period 1 (Figure 1). This in particular reflected the consequence of restaurants being closed at that time. There are previous studies that analysed a shift from out-of-home consumption towards food retailing at the time of the COVID-19 pandemic (48, 49). In particular, Weersink et al. (50) mentioned an increase of 50% in fresh chicken meat sold in grocery stores in Canada in mid-March 2020 compared to the same week in the previous year.

Fresh chicken meat from retail is often associated with an increased risk for campylobacteriosis due to a high prevalence of Campylobacter (5153). Cross-contamination and poor hygienic behavior in the own kitchen pose additional risk factors for human incidence (54). It can therefore be assumed that the high amount of fresh chicken meat prepared at home during the COVID-19 pandemic in LS was accompanied by an increased risk of Campylobacter infection to consumers. However, the risk of contaminated retail chicken meat should have decreased in Germany in recent years due to lower Campylobacter contamination levels in slaughterhouses (10).

Contact reductions and restrictions in the event sector were further measures enacted by the government to reduce the spread of the coronavirus, with a potential influence on the reduced number of reported Campylobacter enteritis cases. As fewer major events and family celebrations such as weddings took place during the COVID-19, the risk factor of commercial food establishments experiencing campylobacteriosis was less prevalent at that time (37, 55). Social distancing may have also led to people having fewer barbecues so that the risk of Campylobacter transmission via barbecues was no longer present to the same extent as before the COVID-19 pandemic (5, 5659).

5 Conclusion

The relationship between Campylobacter contamination levels on chicken carcass neck samples and reported human cases in LS was investigated between 2018 and 2021. The results show concordances between Campylobacter levels on chicken carcasses and human cases before and during the COVID-19 pandemic. The highest concordance was shown in 2021 (Cohen’s Kappa Coefficient: 0.69) and a lower concordance was shown in 2018 (0.37) and 2020 (0.38). The results of our study suggest that risk factors for campylobacteriosis, such as travelling abroad and eating at restaurants, had a different impact on the number of Campylobacter enteritis cases before and during the COVID-19 pandemic.

The private consumption behavior of fresh chicken meat in LS increased significantly in 2020 compared to the previous year by around 63.9 tonnes to an average of 453.5 tonnes per week, which is mainly due to the temporary closure of restaurants during the COVID-19 pandemic. A particularly high proportion of fresh chicken meat was consumed in LS at the end of 2020 and beginning of 2021. The highest consumption of 573.5 tonnes per week was recorded in time period 12 in 2020. As the consumption of fresh retail chicken meat is often associated with an increased risk of campylobacteriosis, this indicates that the risk was particularly high at that time (5153). However, the risk should have decreased in recent years due to lower Campylobacter contamination levels in German slaughterhouses (10). Campylobacteriosis remains a challenge and must be pursued further as part of the One Health approach. A multifactorial approach is required to minimize Campylobacter as a pathogen at various stages along the chicken meat production value chain. This includes raising consumer awareness of campylobacteriosis as the most common foodborne pathogen in order to avoid Campylobacter infections and to reduce the number of human cases.

Data availability statement

Data transfer and use agreements were made in order to receive and use the data from the food business operators. Requests to access the datasets should be directed to TN VG9iaWFzLk5vbHRlQHRpaG8taGFubm92ZXIuZGU=.

Author contributions

TN: Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft. FS: Data curation, Formal analysis, Methodology, Visualization, Writing – review & editing. A-KJ: Funding acquisition, Writing – review & editing. NK: Conceptualization, Funding acquisition, Project administration, Supervision, Writing – review & editing. CV: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the QS-Wissenschaftsfonds. We acknowledge financial support by the Open Access Publication Fund of the University of Veterinary Medicine Hannover, Foundation.

Acknowledgments

We would like to thank the food business operators that participated in this study and also Frances Sherwood-Brock for proofreading the manuscript to ensure correct English.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2024.1392677/full#supplementary-material

References

1. Koch-Institut, R . Infektionsepidemiologischse Jahrbuch meldepflichtiger Krankheiten für 2020. Berlin: Robert Koch-Institut (2021).

Google Scholar

2. EFSA and ECDC . The European Union one health 2021 Zoonoses report. EFSA J. (2022) 20:e07666. doi: 10.2903/j.efsa.2022.7666

Crossref Full Text | Google Scholar

3. Danis, K, Di Renzi, M, O’Neill, W, Smyth, B, McKeown, P, Foley, B, et al. Risk factors for sporadic Campylobacter infection: an all-Ireland case-control study. Eur Secur. (2009) 14:19123. doi: 10.2807/ese.14.07.19123-en

Crossref Full Text | Google Scholar

4. Rosner, BM, Schielke, A, Didelot, X, Kops, F, Breidenbach, J, Willrich, N, et al. A combined case-control and molecular source attribution study of human Campylobacter infections in Germany, 2011–2014. Sci Rep. (2017) 7:5139. doi: 10.1038/s41598-017-05227-x

PubMed Abstract | Crossref Full Text | Google Scholar

5. Doorduyn, Y, Van Den Brandhof, W, Van Duynhoven, Y, Breukink, B, Wagenaar, J, and Van Pelt, W. Risk factors for indigenous Campylobacter jejuni and Campylobacter coli infections in the Netherlands: a case-control study. Epidemiol Infect. (2010) 138:1391–404. doi: 10.1017/S095026881000052X

PubMed Abstract | Crossref Full Text | Google Scholar

6. MacDonald, E, White, R, Mexia, R, Bruun, T, Kapperud, G, Lange, H, et al. Risk factors for sporadic domestically acquired Campylobacter infections in Norway 2010–2011: a national prospective case-control study. PLoS One. (2015) 10:e0139636. doi: 10.1371/journal.pone.0139636

PubMed Abstract | Crossref Full Text | Google Scholar

7. Koch-Institut, R . Epidemiologisches Bulletin 44 / 2017. Berlin: Robert Koch-Institut (2017).

Google Scholar

8. EFSA Panel on Biological Hazards (BIOHAZ) . Scientific opinion on quantification of the risk posed by broiler meat to human campylobacteriosis in the EU. EFSA J. (2010) 8:1437. doi: 10.2903/j.efsa.2010.1437

Crossref Full Text | Google Scholar

9. EC . Commission Regulation (EU) 2017/1495-of 23 August 2017-amending Regulation (EC) No 2073/2005 as regards Campylobacter in broiler carcases. Brussels: Official Journal of the European Union (2017).

Google Scholar

10. Nolte, T, Spieß, F, Jacobs, A-K, Kemper, N, and Visscher, C. Process hygiene criterion for Campylobacter and number of Campylobacter enteritis cases in Northwest Germany. Food Secur. (2024) 13:281. doi: 10.3390/foods13020281

PubMed Abstract | Crossref Full Text | Google Scholar

11. Beck, MM . MEG Marktbilanz 2023. Eugen Ulmer KG: Stuttgart-Hohenheim, Germany (2023).

Google Scholar

12. Beck, MM . MEG Marktbilanz 2021. Eugen Ulmer KG: Stuttgart-Hohenheim, Germany (2021).

Google Scholar

13. Panzone, LA, Larcom, S, and She, P-W. Estimating the impact of the first COVID-19 lockdown on UK food retailers and the restaurant sector. Glob Food Sec. (2021) 28:100495. doi: 10.1016/j.gfs.2021.100495

PubMed Abstract | Crossref Full Text | Google Scholar

14. Liu, F, Lee, SA, Xue, J, Riordan, SM, and Zhang, L. Global epidemiology of campylobacteriosis and the impact of COVID-19. Front Cell Infect Microbiol. (2022) 12:1666. doi: 10.3389/fcimb.2022.979055

Crossref Full Text | Google Scholar

15. European Food Safety Authority and European Centre for Disease Prevention and Control . The European Union one health 2020 zoonoses report. EFSA J. (2021) 19:e06971. doi: 10.2903/j.efsa.2021.6971

Crossref Full Text | Google Scholar

16. Lake, I, Colon-Gonzalez, FJ, Takkinen, J, Rossi, M, Sudre, B, Dias, JG, et al. Exploring campylobacter seasonality across Europe using the European surveillance system (TESSy), 2008 to 2016. Eur Secur. (2019) 24:1800028. doi: 10.2807/1560-7917.ES.2019.24.13.180028

Crossref Full Text | Google Scholar

17. Schielke, A, Rosner, BM, and Stark, K. Epidemiology of campylobacteriosis in Germany–insights from 10 years of surveillance. BMC Infect Dis. (2014) 14:1–8. doi: 10.1186/1471-2334-14-30

Crossref Full Text | Google Scholar

18. Kapperud, G, Skjerve, E, Vik, L, Hauge, K, Lysaker, A, Aalmen, I, et al. Epidemiological investigation of risk factors for Campylobacter colonization in Norwegian broiler flocks. Epidemiol Infect. (1993) 111:245–56. doi: 10.1017/S0950268800056958

PubMed Abstract | Crossref Full Text | Google Scholar

19. Jacobs-Reitsma, W, Bolder, N, and Mulder, R. Cecal carriage of Campylobacter and Salmonella in Dutch broiler flocks at slaughter: a one-year study. Poult Sci. (1994) 73:1260–6. doi: 10.3382/ps.0731260

PubMed Abstract | Crossref Full Text | Google Scholar

20. Jore, S, Viljugrein, H, Brun, E, Heier, B, Borck, B, Ethelberg, S, et al. Trends in Campylobacter incidence in broilers and humans in six European countries, 1997–2007. Prev Vet Med. (2010) 93:33–41. doi: 10.1016/j.prevetmed.2009.09.015

PubMed Abstract | Crossref Full Text | Google Scholar

21. Ullrich, A, Schranz, M, Rexroth, U, Hamouda, O, Schaade, L, Diercke, M, et al. Impact of the COVID-19 pandemic and associated non-pharmaceutical interventions on other notifiable infectious diseases in Germany: an analysis of national surveillance data during week 1–2016–week 32–2020. Lancet Reg Health Eur. (2021):6:100103. doi: 10.1016/j.lanepe.2021.100103

Crossref Full Text | Google Scholar

22. Dougherty, B, Forrest, RO, Smith, CR, Morton, V, Sherk, LM, Avery, B, et al. Impact of the COVID-19 pandemic on the reported incidence of select bacterial enteric diseases in Canada, 2020. Foodborne Pathog Dis. (2023) 20:81–9. doi: 10.1089/fpd.2022.0064

PubMed Abstract | Crossref Full Text | Google Scholar

23. Ray, LC, Collins, JP, Griffin, PM, Shah, HJ, Boyle, MM, Cieslak, PR, et al. Decreased incidence of infections caused by pathogens transmitted commonly through food during the COVID-19 pandemic—foodborne diseases active surveillance network, 10 US sites, 2017–2020. Morb Mortal Wkly Rep. (2021) 70:1332–6. doi: 10.15585/mmwr.mm7038a4

PubMed Abstract | Crossref Full Text | Google Scholar

24. Love, NK, Elliot, AJ, Chalmers, RM, Douglas, A, Gharbia, S, McCormick, J, et al. Impact of the COVID-19 pandemic on gastrointestinal infection trends in England, February–July 2020. BMJ Open. (2022) 12:e050469. doi: 10.1136/bmjopen-2021-050469

PubMed Abstract | Crossref Full Text | Google Scholar

25. Jacobs-Reitsma, WF, Jongenburger, I, Boer, E.d, and Biesta-Peters, EG. ISOISO 10272-2: 2017. Microbiology of the food chain--Horizontal method for detection and enumeration of Campylobacter spp.--Part 2: Colony-count technique. (2019).

Google Scholar

26. Koch-Institut R . SurvStat@RKI 2.0. (n.d.). Available at: https://survstat.rki.de

Google Scholar

27. Wei, W, Schüpbach, G, and Held, L. Time-series analysis of Campylobacter incidence in Switzerland. Epidemiol Infect. (2015) 143:1982–9. doi: 10.1017/S0950268814002738

PubMed Abstract | Crossref Full Text | Google Scholar

28. Lindqvist, R, Cha, W, Dryselius, R, and Lahti, E. The temporal pattern and relationship of Campylobacter prevalence in broiler slaughter batches and human campylobacteriosis cases in Sweden 2009–2019. Int J Food Microbiol. (2022) 378:109823. doi: 10.1016/j.ijfoodmicro.2022.109823

PubMed Abstract | Crossref Full Text | Google Scholar

29. Altman, DG . Practical statistics for medical research. New York: CRC press (1990).

Google Scholar

30. Hudson, J, Nicol, C, Wright, J, Whyte, R, and Hasell, S. Seasonal variation of Campylobacter types from human cases, veterinary cases, raw chicken, milk and water. J Appl Microbiol. (1999) 87:115–24. doi: 10.1046/j.1365-2672.1999.00806.x

PubMed Abstract | Crossref Full Text | Google Scholar

31. Skarp, C, Hänninen, M-L, and Rautelin, H. Campylobacteriosis: the role of poultry meat. Clin Microbiol Infect. (2016) 22:103–9. doi: 10.1016/j.cmi.2015.11.019

Crossref Full Text | Google Scholar

32. Tam, CC, Rodrigues, LC, O'brien, SJ, and Hajat, S. Temperature dependence of reported Campylobacter infection in England, 1989–1999. J Hyg. (2006) 134:119–25. doi: 10.1017/S0950268805004899

PubMed Abstract | Crossref Full Text | Google Scholar

33. Patrick, ME, Christiansen, LE, Wainø, M, Ethelberg, S, Madsen, H, and Wegener, HC. Effects of climate on incidence of Campylobacter spp. in humans and prevalence in broiler flocks in Denmark. Appl Environ Microbiol. (2004) 70:7474–80. doi: 10.1128/AEM.70.12.7474-7480.2004

PubMed Abstract | Crossref Full Text | Google Scholar

34. Rosenquist, H, Nielsen, NL, Sommer, HM, Nørrung, B, and Christensen, BB. Quantitative risk assessment of human campylobacteriosis associated with thermophilic Campylobacter species in chickens. Int J Food Microbiol. (2003) 83:87–103. doi: 10.1016/S0168-1605(02)00317-3

PubMed Abstract | Crossref Full Text | Google Scholar

35. Olsen, A, Bonardi, S, Barco, L, Sandberg, M, Langkabel, N, Roasto, M, et al. A comparison of European surveillance programs for Campylobacter in broilers. Food Control. (2024) 155:110059. doi: 10.1016/j.foodcont.2023.110059

Crossref Full Text | Google Scholar

36. Tedersoo, T, Roasto, M, Mäesaar, M, Kisand, V, Ivanova, M, and Meremäe, K. The prevalence, counts, and MLST genotypes of Campylobacter in poultry meat and genomic comparison with clinical isolates. Poult Sci. (2022) 101:101703. doi: 10.1016/j.psj.2022.101703

PubMed Abstract | Crossref Full Text | Google Scholar

37. Friedman, CR, Hoekstra, RM, Samuel, M, Marcus, R, Bender, J, Shiferaw, B, et al. Risk factors for sporadic Campylobacter infection in the United States: a case-control study in FoodNet sites. Clin Infect Dis. (2004) 38:S285–96. doi: 10.1086/381598

Crossref Full Text | Google Scholar

39. Niedersächsisches Ministerium für Soziales GuG (n.d.) Maßnahmen im Kampf gegen Covid-19: Land untersagt alle öffentlichen Veranstaltungen - Schließung aller Freizeit- und Kultureinrichtungen und Teile des Einzelhandels. Available at: https://www.ms.niedersachsen.de/startseite/uber_uns/presse/presseinformationen/massnahmen-im-kampf-gegen-covid-19-land-untersagt-alle-offentlichen-veranstaltungen-schliessung-aller-freizeit-und-kultureinrichtungen-und-teile-des-einzelhandels-186324.html

Google Scholar

40. Niedersächsisches Ministerium für Soziales GuG (n.d.). 1262 Covid-19 Fälle in Niedersachsen bestätigt -Restaurants müssen schließen. Available at: https://www.ms.niedersachsen.de/startseite/aktuelles/presseinformationen/1262-covid-19-falle-in-niedersachsen-bestatigt-restaurants-mussen-schliessen-186617.html

Google Scholar

41. Jördens, MS, Loosen, SH, Seraphin, T, Luedde, T, Kostev, K, and Roderburg, C. Impact of the COVID-19 pandemic on consultations and diagnoses in gastroenterology practices in Germany. Front Med. (2021) 8:684032. doi: 10.3389/fmed.2021.684032

PubMed Abstract | Crossref Full Text | Google Scholar

42. Ondrikova, N, Clough, HE, Douglas, A, Iturriza-Gomara, M, Larkin, L, Vivancos, R, et al. Differential impact of the COVID-19 pandemic on laboratory reporting of norovirus and Campylobacter in England: a modelling approach. PLoS One. (2021) 16:e0256638. doi: 10.1371/journal.pone.0256638

Crossref Full Text | Google Scholar

43. Love, NK, Douglas, A, Gharbia, S, Hughes, H, Morbey, R, Oliver, I, et al. Understanding the impact of the COVID-19 pandemic response on GI infection surveillance trends in England, January 2020–April 2022. Epidemiol Infect. (2023) 151:e147. doi: 10.1017/S095026882300136X

PubMed Abstract | Crossref Full Text | Google Scholar

44. Bassal, R, Keinan-Boker, L, and Cohen, D. A significant decrease in the incidence of shigellosis in Israel during COVID-19 pandemic. Int J Environ Res Public Health. (2021) 18:3070. doi: 10.3390/ijerph18063070

PubMed Abstract | Crossref Full Text | Google Scholar

48. Hobbs, JE . Food supply chain resilience and the COVID-19 pandemic: what have we learned? Can J Agric Econ. (2021) 69:189–96. doi: 10.1111/cjag.12279

Crossref Full Text | Google Scholar

49. Hobbs, JE . Food supply chains during the COVID-19 pandemic. Can J Agric Econ. (2020) 68:171–6. doi: 10.1111/cjag.12237

Crossref Full Text | Google Scholar

50. Weersink, A, von Massow, M, and McDougall, B. Economic thoughts on the potential implications of COVID-19 on the Canadian dairy and poultry sectors. Can J Agric Econ. (2020) 68:195–200. doi: 10.1111/cjag.12240

Crossref Full Text | Google Scholar

51. Dufrenne, J, Ritmeester, W, Delfgou-Van Asch, E, Van Leusden, F, and De Jonge, R. Quantification of the contamination of chicken and chicken products in the Netherlands with Salmonella and Campylobacter. J Food Prot. (2001) 64:538–41. doi: 10.4315/0362-028X-64.4.538

PubMed Abstract | Crossref Full Text | Google Scholar

52. Scherer, K, Bartelt, E, Sommerfeld, C, and Hildebrandt, G. Quantification of Campylobacter on the surface and in the muscle of chicken legs at retail. J Food Prot. (2006) 69:757–61. doi: 10.4315/0362-028X-69.4.757

PubMed Abstract | Crossref Full Text | Google Scholar

53. Boysen, L, Vigre, H, and Rosenquist, H. Seasonal influence on the prevalence of thermotolerant Campylobacter in retail broiler meat in Denmark. Food Microbiol. (2011) 28:1028–32. doi: 10.1016/j.fm.2011.02.010

PubMed Abstract | Crossref Full Text | Google Scholar

54. Fischer, AR, De Jong, AE, Van Asselt, ED, De Jonge, R, Frewer, LJ, and Nauta, MJ. Food safety in the domestic environment: an interdisciplinary investigation of microbial hazards during food preparation. Risk Anal Int J. (2007) 27:1065–82. doi: 10.1111/j.1539-6924.2007.00944.x

PubMed Abstract | Crossref Full Text | Google Scholar

55. Effler, P, Ieong, M-C, Kimura, A, Nakata, M, Burr, R, Cremer, E, et al. Sporadic Campylobacter jejuni infections in Hawaii: associations with prior antibiotic use and commercially prepared chicken. J Infect Dis. (2001) 183:1152–5. doi: 10.1086/319292

PubMed Abstract | Crossref Full Text | Google Scholar

56. Eberhart-Phillips, J, Walker, N, Garrett, N, Bell, D, Sinclair, D, Rainger, W, et al. Campylobacteriosis in New Zealand: results of a case-control study. J Epidemiol Commun Health. (1997) 51:686–91. doi: 10.1136/jech.51.6.686

PubMed Abstract | Crossref Full Text | Google Scholar

57. Kapperud, G, Espeland, G, Wahl, E, Walde, A, Herikstad, H, Gustavsen, S, et al. Factors associated with increased and decreased risk of Campylobacter infection: a prospective case-control study in Norway. Am J Epidemiol. (2003) 158:234–42. doi: 10.1093/aje/kwg139

PubMed Abstract | Crossref Full Text | Google Scholar

58. Studahl, A, and Andersson, Y. Risk factors for indigenous campylobacter infection: a Swedish case-control study. Epidemiol Infect. (2000) 125:269–75. doi: 10.1017/S0950268899004562

PubMed Abstract | Crossref Full Text | Google Scholar

59. Oosterom, J, Den Uyl, C, Bänffer, J, and Huisman, J. Epidemiological investigations on Campylobacter jejuni in households with a primary infection. Epidemiol Infect. (1984) 93:325–32. doi: 10.1017/s002217240006486x

Crossref Full Text | Google Scholar

Keywords: foodborne pathogen, One Health, campylobacteriosis, poultry, fresh chicken meat, COVID-19 pandemic

Citation: Nolte T, Spieß F, Jacobs A-K, Kemper N and Visscher C (2024) Assessing concordance between Campylobacter prevalence in broilers and human cases before and during the COVID-19 pandemic in Lower Saxony, Germany, considering fresh chicken meat consumption patterns. Front. Vet. Sci. 11:1392677. doi: 10.3389/fvets.2024.1392677

Received: 27 February 2024; Accepted: 22 April 2024;
Published: 09 May 2024.

Edited by:

Windell L. Rivera, University of the Philippines Diliman, Philippines

Reviewed by:

Ethel Mkandawire, University of Zambia, Zambia
Craig Hedberg, University of Minnesota, United States

Copyright © 2024 Nolte, Spieß, Jacobs, Kemper and Visscher. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Tobias Nolte, VG9iaWFzLk5vbHRlQHRpaG8taGFubm92ZXIuZGU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.