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Brief Report

Detection of Influenza D-Specific Antibodies in Bulk Tank Milk from Swedish Dairy Farms

by
Ignacio Alvarez
1,*,
Sara Hägglund
1,
Katarina Näslund
2,
Axel Eriksson
1,
Evelina Ahlgren
2,
Anna Ohlson
3,
Mariette F. Ducatez
4,
Gilles Meyer
4,
Jean-Francois Valarcher
1 and
Siamak Zohari
2
1
Division of Ruminant Medicine, Department of Clinical Sciences, Swedish University of Agriculture Sciences, 8 Almas Allé, 75007 Uppsala, Sweden
2
Department of Microbiology, National Veterinary Institute, Ulls väg 2B, 75189 Uppsala, Sweden
3
Växa Sverige AB, Uppsala, Ulls Väg 29A, 75651 Uppsala, Sweden
4
IHAP, Université de Toulouse, INRAE, ENVT, 31076 Toulouse, France
*
Author to whom correspondence should be addressed.
Viruses 2023, 15(4), 829; https://doi.org/10.3390/v15040829
Submission received: 12 February 2023 / Revised: 21 March 2023 / Accepted: 22 March 2023 / Published: 24 March 2023
(This article belongs to the Special Issue Advances in Animal Influenza Virus Research)
Browse Figure
Review Reports Versions Notes

Abstract

:
Influenza D virus (IDV) has been detected in bovine respiratory disease (BRD) outbreaks, and experimental studies demonstrated this virus’s capacity to cause lesions in the respiratory tract. In addition, IDV-specific antibodies were detected in human sera, which indicated that this virus plays a potential zoonotic role. The present study aimed to extend our knowledge about the epidemiologic situation of IDV in Swedish dairy farms, using bulk tank milk (BTM) samples for the detection of IDV antibodies. A total of 461 and 338 BTM samples collected during 2019 and 2020, respectively, were analyzed with an in-house indirect ELISA. In total, 147 (32%) and 135 (40%) samples were IDV-antibody-positive in 2019 and 2020, respectively. Overall, 2/125 (2%), 11/157 (7%) and 269/517 (52%) of the samples were IDV-antibody-positive in the northern, middle and southern regions of Sweden. The highest proportion of positive samples was repeatedly detected in the south, in the county of Halland, which is one of the counties with the highest cattle density in the country. In order to understand the epidemiology of IDV, further research in different cattle populations and in humans is required.

1. Introduction

Bovine respiratory disease (BRD) is one of the most common and extensively studied diseases in the cattle industry worldwide, with a negative impact on production, animal welfare and health [1]. Several factors, such as host immunity, environmental conditions and a wide diversity of pathogens, interact and promote the onset of the disease [2]. Thanks to the extended use of molecular tools, Influenza D virus (IDV) was recently identified as a new virus involved in BRD [3,4]. This member of the Orthomyxoviridae family was first detected in pigs with respiratory symptoms, but subsequently to epidemiological analyses that revealed a high seroprevalence in cattle, bovidae was proposed to be the main reservoir [5].
Investigations based on the detection of both IDV-specific antibodies and virus demonstrated that IDV is present in cattle herds on several continents and in numerous cases with high infection rates [6,7,8,9,10,11,12]. The role of IDV in the pathogenesis of BRD is still unclear, but experimental infections of calves suggested that IDV alone can cause respiratory signs and lesions and that this virus has the ability to replicate in both the upper and lower respiratory tracts. However, IDV can also be detected in healthy animals, and the potential role of IDV in co-infections should be studied further [7,13,14,15].
To address the zoonotic role that IDV can represent, IDV was shown to replicate well in human airway epithelial cells, and seroepidemiological studies demonstrated IDV-specific antibodies in up to 95% of occupational workers in contact with cattle in USA, as well as in the general human population in Italy [16,17,18,19]. On the other hand, 3300 archived human respiratory samples collected in Scotland were tested for IDV by PCR, and no IDV-RNA was detected [20].
The enzyme-linked immunosorbent assay (ELISA) is well recognized as a robust technique with a good performance for the detection of antibodies against different pathogens in serum. Furthermore, the combination of ELISA with the use of bulk tank milk (BTM) samples provides a powerful tool to detect and monitor the prevalence of pathogens. However, there are potential risks of false negative results caused, for example, by a low seroprevalence in milked cows and the dilution effect caused by including a high number of seronegative animals in the BTM. Nevertheless, since the assay is simple, rapid and cheap, performing ELISA on BTM is considered an excellent option to detect and monitor the presence of infections in dairy cattle for surveillance and control programs’ purposes [21,22,23].
Based on the lack of information about the existence of IDV in Sweden and the potential importance that this pathogen might have for cattle production and human health, this study aimed to determine the presence and spatio-temporal distribution of IDV antibodies in the Swedish cattle population using an in-house indirect ELISA on bulk tank milk samples.

2. Materials and Methods

2.1. Sample Collection

During the spring of 2019 and 2020, 461 and 338 BTM samples, respectively, were collected following a risk-based design within the framework of the Swedish Surveillance Program for bovine viral diarrhea virus. The samples were collected from dairy herds across the country in a blinded manner and focused on counties with the highest cattle density. The counties were categorized into 3 regions: Norrland (North), Svealand (Central) and Götaland (South). The milk was collected from the bulk tank in vials containing bronopol as the preservative and transported to the National Veterinary Institute for further processing. At arrival, the vials were centrifuged at 3000 RPM to facilitate the removal of the cream fraction. Samples were stored at −20 °C until they were tested.

2.2. Indirect ELISA

An in-house indirect ELISA was performed to detect the presence of IDV-specific IgG antibodies, as described previously [15]. We previously demonstrated that the sensitivity and specificity of this test were 87% and 100%, respectively, when analyzing serum and using a haemagglutination inhibition assay as the gold standard [24]. The positive control used in the present study was an IDV-antibody-positive serum obtained from a calf that had been experimentally infected with IDVstrain D/bovine/France/5920/2014 (HI titer: 1/1024). This positive IDV control serum had been serially diluted tenfold in both IDV antibody-negative milk and sera from cattle and had been analyzed with both HI and ELISA. The dilution that resulted in an OD value 10% higher than the mean OD value of the negative sera, plus three standard deviations, was used as the positive control. Samples were considered IDV-antibody-positive if the corrected optical density (COD = ODsample − ODblank) was >10% of the COD of the positive control.

2.3. Map Design

Choropleth maps showing Sweden with the different counties and regions were created by using the software QGIS (3.26.0-Buenos Aires).

3. Results

Overall, 147 (32%) and 135 (40%) BTM samples collected in 2019 and 2020, respectively, were IDV-antibody-positive. In 2019, all the BTM samples from the region of Norrland were negative for IDV-specific antibodies; however, in 2020, the presence of two positive samples in the counties of Västerbotten and Jämtland within the region of Norrland allowed us to also confirm the presence of the virus in the most northern region of the country (Table 1). No IDV-specific antibodies were detected in Norrbotten (Norrland), Gävleborg (Norrland), Västernorrland (Norrland), Västmanland (Svealand), Stockholm (Svealand), Uppsala (Svealand) or Kronoberg (Götaland). Counties located in the southern region of Sweden (Götaland), and in particular in the county of Halland, had the highest proportion of antibody-positive samples (84% and 77% in 2019 and 2020, respectively, Table 1, Figure 1). Whereas the proportion of positive samples increased by 22% between 2019 and 2020 in the southern region, it increased by only 8.1% in the country.

4. Discussion

These results demonstrate, for the first time, a circulation of IDV among Swedish dairy cattle. The southern region of the country (Götaland) consistently contained the highest number of antibody-positive herds, which suggests a high circulation of virus in that area. This was previously additionally demonstrated for bovine respiratory syncytial virus and bovine coronavirus and may be explained by the high density of animals [25]. Moreover, the shorter distance between farms may facilitate the transfer of animals between herds, more human contacts and animal professional visits in a higher number of herds per day. In addition, the connection with continental Europe might constitute an increased risk of transmission of infectious diseases. Halland, the county with the highest IDV-seroprevalence, has the highest density of dairy cows in Sweden (419 dairy cows per 100 km2) and is situated very close to the border with Denmark. In contrast, no IDV-specific antibodies were detected in samples from the county of Norrbotten, which has the lowest dairy cow density in Sweden (4.59 dairy cows per 100 km2) and which is situated at the opposite extreme of the border. Although not much information is available on the potential routes of transmission for IDV, experimental studies have shown that aerosol transmission within a building is possible [15]. Since IDV antibodies were detected in humans and in a wide range of animals, including wild animals such as wild boar, these may additionally contribute to the spread of the virus [26,27,28,29]. However, considering the fragility of influenza viruses in the environment, any human or animal species probably needs to be in the same building, and perhaps even in close contact with cattle, for the virus to spread.
Several serological studies conducted worldwide show a divergent seroprevalence in animals, but few of those studies report a seroprevalence at the herd level. Japan, Argentina and Luxembourg showed 50%, 75% and 97.7% IDV-antibody-positive farms among those sampled, respectively [8,12,24]. The broad sample design of this study, involving areas with a low and high animal density, and the high biosecurity level of the farms in Sweden may explain why the prevalence was not as high as in other countries.
To our knowledge, this is the first IDV-specific antibody survey performed by using BTM. Although adult cows are commonly less susceptible to respiratory viral infections than calves, the fact that they are kept in herds for a long period of time turns them into good sentinel animals for this kind of surveillance. Bulk tank milk samples can be obtained in a fast, inexpensive and non-invasive way and are an excellent option for the mass screening of diseases, as long as no classic vaccine has been used, as in the case of IDV. On the other hand, although immunoglobulin G is the most abundant immunoglobulin found in milk, the antibody concentrations are considerably lower than those found in serum [30]. The dilution effect that is generated when samples from pooled milk are analyzed does not allow one to exclude with precision the presence of a positive animal. In addition, several authors point out that antibody levels in milk may fluctuate depending on different factors, such as the stage of lactation in which the animal is at the time of sampling, subclinical mastitis, the season, the feeding system, the breed, and the age [31,32,33]. Regarding IDV, no studies have yet established the time during which the antibodies can be detected in milk. Consequently, it is possible that the rates reported in this study are underestimated. Therefore, once the herd has been identified as positive by BTM samples, follow-up tests with individual serum samples can be performed to further identify animals exposed to IDV. In addition, IDV-RTqPCR can be routinely carried out on nasal swabs to improve detection and confirm or exclude viral circulation in herds in which the virus is circulating.
The observed shifts in the positive rate between 2019 and 2020 could be explained by differences in the sample size of each county for each year. However, if we consider the seasonality of influenza cases in humans, it is possible to hypothesize that this same pattern also occurs for Influenza D in the cattle population. Therefore, a variation in positive rates can be expected depending on the season and the year in which the sample is collected.

5. Conclusions

The present study demonstrates that IDV is present in Swedish dairy herds and with a higher prevalence in the south of the country. Further studies should focus on the detection of IDV in BRD outbreaks and on the duration of IgG antibodies in milk and serum. In addition, it is necessary to study the prevalence of IDV in other species including humans in order to gain a deeper understanding of the epidemiological pattern of this virus.

Author Contributions

Conceptualization, I.A., S.H., J.-F.V. and S.Z.; methodology, I.A., S.H., M.F.D., G.M., J.-F.V. and S.Z.; software, I.A.; validation, I.A., S.H., J.-F.V. and S.Z.; investigation, K.N., A.E., E.A. and A.O.; writing—original draft preparation, I.A.; writing—review and editing, I.A., S.H., K.N., A.E., E.A., A.O., M.F.D.,G.M., J.-F.V. and S.Z.; supervision, S.H., J.-F.V. and S.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded partly by the European Food Safety Authority (Grant Agreement Numbers GP/EFSA/2017/01-GA04 and GP/EFSA/ENCO/2020/03) and by ICRAD FORMAS, grant number 2020-02742.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The cells for life platform, partly founded by the infrastructure committee at SLU, are thanked for providing facilities and equipment.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Blakebrough-Hall, C.; McMeniman, J.P.; González, L.A. An evaluation of the economic effects of bovine respiratory disease on animal performance, carcass traits, and economic outcomes in feedlot cattle defined using four BRD diagnosis methods. J. Anim. Sci. 2020, 98, skaa005. [Google Scholar] [CrossRef] [PubMed]
  2. Deepak; Aly, S.S.; Love, W.J.; Blanchard, P.C.; Crossley, B.; Van Eenennaam, A.L.; Lehenbauer, T.W. Etiology and risk factors for bovine respiratory disease in pre-weaned calves on California dairies and calf ranches. Prev. Vet. Med. 2021, 197, 105506. [Google Scholar] [CrossRef] [PubMed]
  3. Fulton, R.W. Viruses in Bovine Respiratory Disease in North America Knowledge Advances Using Genomic Testing. Vet. Clin. N. Am. Food Anim. Pract. 2020, 36, 321–332. [Google Scholar] [CrossRef] [PubMed]
  4. Mitra, N.; Cernicchiaro, N.; Torres, S.; Li, F.; Hause, B.M. Metagenomic characterization of the virome associated with bovine respiratory disease in feedlot cattle identified novel viruses and suggests an etiologic role for influenza D virus. J. Gen. Virol. 2016, 97, 1771–1784. [Google Scholar] [CrossRef] [PubMed]
  5. Hause, B.M.; Collin, E.A.; Liu, R.X.; Huang, B.; Sheng, Z.Z.; Lu, W.X.; Wang, D.; Nelson, E.A.; Li, F. Characterization of a Novel Influenza Virus in Cattle and Swine: Proposal for a New Genus in the Orthomyxoviridae Family. mBio 2014, 5. [Google Scholar] [CrossRef] [Green Version]
  6. Alvarez, I.J.; Fort, M.; Pasucci, J.; Moreno, F.; Gimenez, H.; Näslund, K.; Hägglund, S.; Zohari, S.; Valarcher, J.F. Seroprevalence of influenza D virus in bulls in Argentina. J. Vet. Diagn. Investig. 2020, 32, 585–588. [Google Scholar] [CrossRef]
  7. Ferguson, L.; Olivier, A.K.; Genova, S.; Epperson, W.B.; Smith, D.R.; Schneider, L.; Barton, K.; McCuan, K.; Webby, R.J.; Wan, X.-F. Pathogenesis of Influenza D Virus in Cattle. J. Virol. 2016, 90, 5636–5642. [Google Scholar] [CrossRef] [Green Version]
  8. Horimoto, T.; Hiono, T.; Mekata, H.; Odagiri, T.; Lei, Z.; Kobayashi, T.; Norimine, J.; Inoshima, Y.; Hikono, H.; Murakami, K.; et al. Nationwide Distribution of Bovine Influenza D Virus Infection in Japan. PLoS ONE 2016, 11, e0163828. [Google Scholar] [CrossRef] [Green Version]
  9. O’Donovan, T.; Donohoe, L.; Ducatez, M.F.; Meyer, G.; Ryan, E. Seroprevalence of influenza D virus in selected sample groups of Irish cattle, sheep and pigs. Ir. Vet. J. 2019, 72, 11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Oliva, J.; Eichenbaum, A.; Belin, J.; Gaudino, M.; Guillotin, J.; Alzieu, J.-P.; Nicollet, P.; Brugidou, R.; Gueneau, E.; Michel, E.; et al. Serological Evidence of Influenza D Virus Circulation Among Cattle and Small Ruminants in France. Viruses 2019, 11, 516. [Google Scholar] [CrossRef] [Green Version]
  11. Sanogo, I.N.; Kouakou, C.; Batawui, K.; Djegui, F.; Byarugaba, D.K.; Adjin, R.; Adjabli, K.; Wabwire-Mangen, F.; Erima, B.; Atim, G.; et al. Serological Surveillance of Influenza D Virus in Ruminants and Swine in West and East Africa, 2017–2020. Viruses 2021, 13, 1749. [Google Scholar] [CrossRef] [PubMed]
  12. Snoeck, C.J.; Oliva, J.; Pauly, M.; Losch, S.; Wildschutz, F.; Muller, C.P.; Hübschen, J.M.; Ducatez, M.F. Influenza D Virus Circulation in Cattle and Swine, Luxembourg, 2012–2016. Emerg. Infect. Dis. 2018, 24, 1388–1389. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Lion, A.; Secula, A.; Rançon, C.; Boulesteix, O.; Pinard, A.; Deslis, A.; Hägglund, S.; Salem, E.; Cassard, H.; Näslund, K.; et al. Enhanced Pathogenesis Caused by Influenza D Virus and Mycoplasma bovis Coinfection in Calves: A Disease Severity Linked with Overexpression of IFN-γ as a Key Player of the Enhanced Innate Immune Response in Lungs. Microbiol. Spectr. 2021, 9. [Google Scholar] [CrossRef]
  14. Mazzetto, E.; Bortolami, A.; Fusaro, A.; Mazzacan, E.; Maniero, S.; Vascellari, M.; Beato, M.S.; Schiavon, E.; Chiapponi, C.; Terregino, C.; et al. Replication of Influenza D Viruses of Bovine and Swine Origin in Ovine Respiratory Explants and Their Attachment to the Respiratory Tract of Bovine, Sheep, Goat, Horse, and Swine. Front. Microbiol. 2020, 11, 1136. [Google Scholar] [CrossRef]
  15. Salem, E.; Hägglund, S.; Cassard, H.; Corre, T.; Näslund, K.; Foret, C.; Gauthier, D.; Pinard, A.; Delverdier, M.; Zohari, S.; et al. Pathogenesis, Host Innate Immune Response, and Aerosol Transmission of Influenza D Virus in Cattle. J. Virol. 2019, 93. [Google Scholar] [CrossRef] [Green Version]
  16. Holwerda, M.; Kelly, J.; Laloli, L.; Stürmer, I.; Portmann, J.; Stalder, H.; Dijkman, R. Determining the Replication Kinetics and Cellular Tropism of Influenza D Virus on Primary Well-Differentiated Human Airway Epithelial Cells. Viruses 2019, 11, 377. [Google Scholar] [CrossRef] [Green Version]
  17. Song, H.; Qi, J.; Khedri, Z.; Diaz, S.; Yu, H.; Chen, X.; Varki, A.; Shi, Y.; Gao, G.F. An Open Receptor-Binding Cavity of Hemagglutinin-Esterase-Fusion Glycoprotein from Newly-Identified Influenza D Virus: Basis for Its Broad Cell Tropism. PLoS Pathog. 2016, 12, e1005411. [Google Scholar] [CrossRef] [Green Version]
  18. Trombetta, C.M.; Marchi, S.; Manini, I.; Kistner, O.; Li, F.; Piu, P.; Manenti, A.; Biuso, F.; Sreenivasan, C.; Druce, J.; et al. Influenza D Virus: Serological Evidence in the Italian Population from 2005 to 2017. Viruses 2020, 12, 30. [Google Scholar] [CrossRef] [Green Version]
  19. White, S.K.; Ma, W.; McDaniel, C.J.; Gray, G.C.; Lednicky, J.A. Serologic evidence of exposure to influenza D virus among persons with occupational contact with cattle. J. Clin. Virol. 2016, 81, 31–33. [Google Scholar] [CrossRef]
  20. Smith, D.B.; Gaunt, E.R.; Digard, P.; Templeton, K.; Simmonds, P. Detection of influenza C virus but not influenza D virus in Scottish respiratory samples. J. Clin. Virol. 2016, 74, 50–53. [Google Scholar] [CrossRef] [Green Version]
  21. Ohlson, A.; Blanco-Penedo, I.; Fall, N. Comparison of Bovine coronavirus-specific and Bovine respiratory syncytial virus-specific antibodies in serum versus milk samples detected by enzyme-linked immunosorbent assay. J. Vet. Diagn. Investig 2014, 26, 113–116. [Google Scholar] [CrossRef] [Green Version]
  22. Pautienius, A.; Dudas, G.; Simkute, E.; Grigas, J.; Zakiene, I.; Paulauskas, A.; Armonaite, A.; Zienius, D.; Slyzius, E.; Stankevicius, A. Bulk Milk Tank Samples Are Suitable to Assess Circulation of Tick-Borne Encephalitis Virus in High Endemic Areas. Viruses 2021, 13, 1772. [Google Scholar] [CrossRef] [PubMed]
  23. Chanlun, A.; Näslund, K.; Aiumlamai, S.; Björkman, C. Use of bulk milk for detection of Neospora caninum infection in dairy herds in Thailand. Vet. Parasitol. 2002, 110, 35–44. [Google Scholar] [CrossRef] [PubMed]
  24. Alvarez, I.J.; Fort, M.; Pasucci, J.; Moreno, F.; Gimenez, H.; Naeslund, K.; Haegglund, S.; Zohari, S.; Valarcher, J.F. Seroprevalence of influenza D virus in bulls in Argentina—Authors’ response. J. Vet. Diagn. Investig 2020, 32, 633–634. [Google Scholar] [CrossRef]
  25. Beaudeau, F.; Ohlson, A.; Emanuelson, U. Associations between bovine coronavirus and bovine respiratory syncytial virus infections and animal performance in Swedish dairy herds. J. Dairy Sci. 2010, 93, 1523–1533. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Murakami, S.; Odagiri, T.; Melaku, S.K.; Bazartseren, B.; Ishida, H.; Takenaka-Uema, A.; Muraki, Y.; Sentsui, H.; Horimoto, T. Influenza D Virus Infection in Dromedary Camels, Ethiopia. Emerg. Infect. Dis. 2019, 25, 1224–1226. [Google Scholar] [CrossRef]
  27. Nedland, H.; Wollman, J.; Sreenivasan, C.; Quast, M.; Singrey, A.; Fawcett, L.; Christopher-Hennings, J.; Nelson, E.; Kaushik, R.S.; Wang, D.; et al. Serological evidence for the co-circulation of two lineages of influenza D viruses in equine populations of the Midwest United States. Zoonoses Public Health 2018, 65, E148–E154. [Google Scholar] [CrossRef] [PubMed]
  28. Ferguson, L.; Luo, K.; Olivier, A.K.; Cunningham, F.L.; Blackmon, S.; Hanson-Dorr, K.; Sun, H.; Baroch, J.; Lutman, M.W.; Quade, B.; et al. Influenza D Virus Infection in Feral Swine Populations, United States. Emerg. Infect. Dis. 2018, 24, 1020–1028. [Google Scholar] [CrossRef] [Green Version]
  29. Quast, M.; Sreenivasan, C.; Sexton, G.; Nedland, H.; Singrey, A.; Fawcett, L.; Miller, G.; Lauer, D.; Voss, S.; Pollock, S.; et al. Serological evidence for the presence of influenza D virus in small ruminants. Vet. Microbiol. 2015, 180, 281–285. [Google Scholar] [CrossRef] [Green Version]
  30. Hägglund, S.; Näslund, K.; Svensson, A.; Lefverman, C.; Enül, H.; Pascal, L.; Siltenius, J.; Holzhauer, M.; Delabouglise, A.; Österberg, J.; et al. Longitudinal study of the immune response and memory following natural bovine respiratory syncytial virus infections in cattle of different age. PLoS ONE 2022, 17, e0274332. [Google Scholar] [CrossRef]
  31. Król, J.; Litwińczuk, Z.; Brodziak, A.; Barłowska, J. Lactoferrin, lysozyme and immunoglobulin G content in milk of four breeds of cows managed under intensive production system. Pol. J. Vet. Sci. 2010, 13, 357–361. [Google Scholar] [PubMed]
  32. Milovanović, M.; Milićević, V.; Radojičić, S.; Valčić, M.; Hoffmann, B.; Dietze, K. Suitability of individual and bulk milk samples to investigate the humoral immune response to lumpy skin disease vaccination by ELISA. Virol. J. 2020, 17, 28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Morin, D.E.; Nelson, S.V.; Reid, E.D.; Nagy, D.W.; Dahl, G.E.; Constable, P.D. Effect of colostral volume, interval between calving and first milking, and photoperiod on colostral IgG concentrations in dairy cows. J. Am. Vet. Med. Assoc. 2010, 237, 420–428. [Google Scholar] [CrossRef] [PubMed]
Viruses 15 00829 g001 550
Figure 1. Maps of Sweden displaying the counties and the borders of the northern, central and southern regions. (a) The proportion of bulk milk samples in which IDV-specific IgG antibodies were detected in 2019, (b) the proportion of bulk milk samples in which IDV-specific IgG antibodies were detected in 2020, and (c) dairy cow density. The blue lines highlight the border of the different regions.
Figure 1. Maps of Sweden displaying the counties and the borders of the northern, central and southern regions. (a) The proportion of bulk milk samples in which IDV-specific IgG antibodies were detected in 2019, (b) the proportion of bulk milk samples in which IDV-specific IgG antibodies were detected in 2020, and (c) dairy cow density. The blue lines highlight the border of the different regions.
Viruses 15 00829 g001
Table
Table 1. Sample size, number and proportion of herds with IDV-specific antibody in bulk tank milk in different Swedish counties.
Table 1. Sample size, number and proportion of herds with IDV-specific antibody in bulk tank milk in different Swedish counties.
20192020Overall
RegionCountySample SizeNPS a (%) bSample SizeNPS a (%) bSample SizeNPS a (%) b
Norrland (North)Gävleborg130 (0)70 (0)200
Norrbotten50 (0)60 (0)110
Västerbotten140 (0)411 (2.4)551 (1.8)
Västernorrland140 (0)60 (0)200
Jämtland50 (0)141 (7.1)191 (5.3)
Total Norrland 510 (0)742 (2.7)1252 (1.6)
Svealand
(Center)		Örebro82 (25)133 (23.1)215 (23.8)
Västmanland100 (0)30 (0)130
Dalarna140 (0)121 (8.3)261 (3.8)
Värmland162 (13)101 (10)263 (11.5)
Stockholm50 (0)7(0)120
Uppsala130 (0)12(0)250
Södermanland190 (0)152 (13.3)342 (5.9)
Total Svealand 854 (4.7)727 (9.7)15711(7)
Götaland (South)Östergötland166 (38)60 (0)226 (27.3)
Västra Götaland7651 (67)5739 (68.4)13390 (67.7)
Gotaland245 (21)75 (71.4)3110 (32.2)
Halland3731 (84)1310 (76.9)5041 (82)
Blekinge50 (0)71 (14.3)121 (8.3)
Skåne5633 (59)4025 (62.5)9658 (60.4)
Kalmar4715 (32)6146 (75.4)10861 (56.5)
Jönköping402 (5)10 (0)412 (4.9)
Kronoberg240 (0)00240
Total Götaland 325143 (44)192126 (65.6)517269 (52)
Total Sweden 461147 (31.8)338135 (39.9)799282 (35.2)
a Number of positive samples b Percentage of positive samples.
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Alvarez, I.; Hägglund, S.; Näslund, K.; Eriksson, A.; Ahlgren, E.; Ohlson, A.; Ducatez, M.F.; Meyer, G.; Valarcher, J.-F.; Zohari, S. Detection of Influenza D-Specific Antibodies in Bulk Tank Milk from Swedish Dairy Farms. Viruses 2023, 15, 829. https://doi.org/10.3390/v15040829

AMA Style

Alvarez I, Hägglund S, Näslund K, Eriksson A, Ahlgren E, Ohlson A, Ducatez MF, Meyer G, Valarcher J-F, Zohari S. Detection of Influenza D-Specific Antibodies in Bulk Tank Milk from Swedish Dairy Farms. Viruses. 2023; 15(4):829. https://doi.org/10.3390/v15040829

Chicago/Turabian Style

Alvarez, Ignacio, Sara Hägglund, Katarina Näslund, Axel Eriksson, Evelina Ahlgren, Anna Ohlson, Mariette F. Ducatez, Gilles Meyer, Jean-Francois Valarcher, and Siamak Zohari. 2023. "Detection of Influenza D-Specific Antibodies in Bulk Tank Milk from Swedish Dairy Farms" Viruses 15, no. 4: 829. https://doi.org/10.3390/v15040829

APA Style

Alvarez, I., Hägglund, S., Näslund, K., Eriksson, A., Ahlgren, E., Ohlson, A., Ducatez, M. F., Meyer, G., Valarcher, J. -F., & Zohari, S. (2023). Detection of Influenza D-Specific Antibodies in Bulk Tank Milk from Swedish Dairy Farms. Viruses, 15(4), 829. https://doi.org/10.3390/v15040829

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