Prevalence of Leptospira spp. in Lithuanian Wild Boars (Sus scrofa)
Abstract
:1. Introduction
2. Materials and Methods
2.1. Sample Collection
2.2. Laboratory Testing
2.3. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Age of Boars | Number of Positive Reactions, n (%, CI) | ||||||||
---|---|---|---|---|---|---|---|---|---|
Pom | Gryp | Sax * | Sej | Can * | Brat * | Copen | Tar | Total | |
Younger than 12 months | 2 (1.0%, 0.1–3.7) | 0 (0%, 0–1.9) | 0 (0%, 0–1.9) | 1 (0.6% 0.01–2.8) | 2 (1.0%, 0.1–3.7) | 2 (1.0%, 0.1–3.7) | 1 (0.6%, 0.01–2.8) | 2 (1.0%, 0.1–3.7) | 10 (5.2%, 2.5–9.3) |
12 to 24 months | 4 (2.1%, 0.6–5.2) | 4 (2.1%, 0.6–5.2) | 2 (1.0%, 0.1–3.7) | 11 (5.7%, 2.9–9.9) | 12 (6.2%, 3.2–10.6) | 14 (7.2%, 4.0–11.8) | 22 (11.3%, 7.3–16.7) | 4 (2.1%, 0.6–5.2) | 73 (37.6%, 30.8–44.9) |
Older than 24 months | 7 (3.6%, 1.5–7.3) | 8 (4.1%, 1.8–8.0) | 8 (4.1%, 1.8–8.0) | 9 (4.6%, 2.1–8.6) | 23 (11.9%, 7.7–17.3) | 26 (13.4%, 9.0–19.0) | 21 (10.8%, 6.8–16.1) | 9 (4.6%, 2.1–8.6) | 111 (57.2%, 49.9–64.3) |
Total | 13 (6.7%, 3.6–11.2) | 12 (6.2%, 3.2–10.6) | 10 (5.2%, 2.5–9.3) | 21 (10.8%, 6.8–16.1) | 37 (19.1%, 13.8–25.3) | 42 (21.6%, 16.1–28.1) | 44 (22.7%, 17.0–29.2) | 15 (7.7%, 4.4–12.4) | 194 (100%) |
Number of Positive Reactions, n (%, CI) | |||||||||
---|---|---|---|---|---|---|---|---|---|
County | Pom | Gryp | Sax | Sej | Can | Brat | Copen | Tar | Total |
Vilnius | 3 (5.5%, 1.1–15.1) | 1 (1.8%, 0.1–9.7) | 1 (1.8%, 0.1–9.7) | 4 (7.4%, 2–17.6) | 8 (14.5%, 6.5–26.7) | 7 (12.7%, 5.3–24.5) | 11 (20.0%, 10.4–33.0) | 3 (5.5%, 1.1–15.1) | 38/55 (69.1%, 55.2–80.9) |
Kaunas | 3 (5.0%, 1.0–13.9) | 3 (5.0%, 1.0–13.9) | 4 (6.7%, 1.9–16.2) | 3 (5.0%, 1.0–13.9) | 6 (10.0%, 3.8–20.5) | 6 (10.0%, 3.8–20.5) | 6 (10.0%, 3.8–20.5) | 3 (5.0%, 1.0–13.9) | 34/60 (56.7%, 43.2–69.4) |
Klaipėda | 2 (4.8%, 0.6–16.2) | 0 (0%, 0–8.4) | 1 (2.4%, 0.06–12.6) | 3 (7.1%, 1.5–19.5) | 0 (0%, 0–8.4) | 3 (7.1%, 1.5–19.5) | 1 (2.4%, 0.06–12.6) | 1 (2.4%, 0.06–12.6) | 11/42 (26.2%, 13.9–42.0) |
Šiauliai | 3 (5.4%, 1.1–14.9) | 2 (3.6%, 0.4–12.3) | 1 (1.8%, 0.04–9.6) | 3 (5.4%, 1.1–14.9) | 4 (7.1%, (2.0–17.3) | 8 (14.3%, 6.38–26.22) | 5 (8.9%, 3.0–19.6) | 2 (3.6%, 0.4–12.3) | 28/56 (50.0%, 36.3–63.7) |
Panevėžys | 2 (6.1%, 0.7–20.2) | 3 (9.1%, 1.9–24.3) | 1 (3.0%, 0.08–15.8) | 4 (12.1%, 3.4–28.2) | 5 (15.2%, 5.1–31.9) | 5 (15.2%, 5.1–31.9) | 4 (12.1%, 3.4–28.2) | 5 (15.2%, 5.1–31.9) | 29/33 (87.9%, 71.8–96.6) |
Marijampolė | 0 (0%, 0–21.8) | 0 (0%, 0–21.8) | 0 (0%, 0–21.8) | 0 (0%, 0–21.8) | 1 (6.7%, 0.2–32.0) | 0 (0%, 0–21.8) | 1 (6.7%, 0.2–32.0) | 0 (0%, 0–21.8) | 2/15 (13.3%, 1.7–40.5) |
Telšiai | 0 (0%, 0–6.4) | 1 (1.8%, 0.04–9.6) | 0 (0%, 0–6.4) | 1 (1.8%, 0.04–9.6) | 5 (8.9%, 3.0–19.6) | 2 (3.6%, 0.4–12.3) | 0 (0%, 0–6.4) | 1 (1.8%, 0.04–9.6) | 10/56 (17.9%, 8.9–30.4) |
Tauragė | 0 (0%, 0–8.6) | 1 (2.5%, 0.06–1.9) | 0 (0%, 0–8.6) | 2 (4.9%, 0.6–16.5) | 4 (9.8%, 2.7–23.1) | 4 (9.8%, 2.7–23.1) | 5 (12.2%, 4.1–26.2) | 0 (0%, 0–8.6) | 16/41 (39.0%, 24.2–55.5) |
Alytus | 0 (0%, 0–9.5) | 1 (2.7%, 0.07–14.2) | 1 (2.7%, 0.07–14.2) | 1 (2.7%, 0.07–14.2) | 2 (5.4%, 0.7–18.2) | 3 (8.1%, 1.7–21.9) | 1 (2.7%, 0.07–14.2) | 0 (0%, 0–9.5) | 9/37 (24.3%, 11.8–41.2) |
Utena | 0 (0%, 0–6.4) | 0 (0%, 0–6.4) | 1 (1.8%, 0.04–9.6) | 0 (0%, 0–6.4) | 2 (3.6%, 0.4–12.3) | 4 (7.1%, 2.0–17.2) | 10 (17.9%, 8.9–30.4) | 0 (0%, 0–6.4) | 17/56 (30.4%, 18.8–44.1) |
Study | Country | Number of Sera | Positive Samples | % of Positive Samples | Most Common Serovar |
---|---|---|---|---|---|
Vale-Gonçalves, 2015 [37] | Portugal | 101 | 66 | 65.4 | Tarassovi |
Vengust G, 2008 [41] | Slovenia | 437 | 200 | 45.5 | Tarassovi |
Cvetnic Z, 2003 [31] | Croatia | 154 | 40 | 26 | Pomona |
Slavica A, 2010 [35] | Croatia | 351 | 112 | 31.9 | Australis |
Fornazari F, 2011 [33] | Brazil | 308 | 63 | 20.5 | Hardjo |
Roquelo C, 2021 [38] | France | 358 | 66 | 18.4 | Australis |
Jansen A, 2007 [34] | Germany | 141 | 25 | 17.7 | Pomona |
Treml F, 2003 [36] | Czech Republic | 307 | 52 | 16.9 | Grippothyphosa |
Espí A, 2010 [43] | Spain | 171 | 25 | 14.6 | Pomona |
Cilia G, 2020 [30] | Italy | 287 | 39 | 13.6 | Australis |
Chiari M, 2016 [42] | Italy | 2101 | 321 | 15.3 | Bratislava |
Ebani VV, 2003 [32] | Italy | 562 | 34 | 6 | Bratislava |
Żmudzki J, 2015 [39] | Poland | 3621 | 377 | 10.4 | Hardjo |
Boqvist S, 2012 [40] | Sweden | 386 | 12 | 3.1 | Bratislava |
Current study | Lithuania | 451 | 102 | 22.6 | Copenhageni |
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Karvelienė, B.; Stadalienė, I.; Rudejevienė, J.; Burbaitė, E.; Juodžentė, D.; Masiulis, M.; Buitkuvienė, J.; Šakalienė, J.; Zamokas, G. Prevalence of Leptospira spp. in Lithuanian Wild Boars (Sus scrofa). Pathogens 2025, 14, 85. https://doi.org/10.3390/pathogens14010085
Karvelienė B, Stadalienė I, Rudejevienė J, Burbaitė E, Juodžentė D, Masiulis M, Buitkuvienė J, Šakalienė J, Zamokas G. Prevalence of Leptospira spp. in Lithuanian Wild Boars (Sus scrofa). Pathogens. 2025; 14(1):85. https://doi.org/10.3390/pathogens14010085
Chicago/Turabian StyleKarvelienė, Birutė, Inga Stadalienė, Jūratė Rudejevienė, Evelina Burbaitė, Dalia Juodžentė, Marius Masiulis, Jūratė Buitkuvienė, Jurgita Šakalienė, and Gintaras Zamokas. 2025. "Prevalence of Leptospira spp. in Lithuanian Wild Boars (Sus scrofa)" Pathogens 14, no. 1: 85. https://doi.org/10.3390/pathogens14010085
APA StyleKarvelienė, B., Stadalienė, I., Rudejevienė, J., Burbaitė, E., Juodžentė, D., Masiulis, M., Buitkuvienė, J., Šakalienė, J., & Zamokas, G. (2025). Prevalence of Leptospira spp. in Lithuanian Wild Boars (Sus scrofa). Pathogens, 14(1), 85. https://doi.org/10.3390/pathogens14010085