PREVALENCE AND ASSOCIATED RISK FACTORS OF CANINE PARVOVIRUS AND CANINE INFLUENZA VIRUS INFECTIONS IN PET DOGS IN DHAKA DISTRICT OF BANGLADESH
Notice bibliographique
Résumé
Background: There are approximately 1.6 million dogs in Bangladesh and almost 83% of these dogs live on the street and accordingly 17.0% dog population are kept as pet mostly in the metropolitan cities with major population in Dhaka, Chottogram and Sylhet in Bangladesh. Some promiscuous research findings on Canine parvovirus enteritis (PVE) and Canine influenza virus (CIV) have been reported in inland literature. Objective: To determine the prevalence and associated risk factors of canine parvovirus and canine influenza virus infections in dogs supported with brief review for future direction of research and prevention Materials and Methods: A cross sectional study was conducted on total of 173 pet dogs for the prevalence of CIV and 70 dogs for CPV infections of different breed, age and gender by collecting nasal swab samples for CIV and rectal swabs for CPV infection. Each of the collected nasal swabs was tested by RapiGen Canine influenza Ag test kit and rectal swab samples with RapiGen Canine parvovirus Ag test kit (RapiGen INC., South Korea, 2012). Chi-square test was used detect the significance of risk factors of the infections in dogs. Results: All the 173 nasal swabs of pet dogs collected from different thanas of the Dhaka district showed negative with RapiGen CIV Ag test kit test. Out of four published reports on the prevalence of CIV infection in dogs, of which two reports showed 10.71 to 13.33% prevalence rate of CIV whereas two reports (including this one) showed negative result with the same test. An overall 7.14% prevalence of CPV infection in pet dogs was recorded in this study. The prevalence of CPV in relation to breed was found 22.22% in German shepherd and 2.86% in Labrador whereas local, Bull mastiff and Samoyed breeds found negative for CPV infection. The higher prevalence of CPV infection was recorded in puppies up to six months of age (14.81%) than in growing dogs aged between >6 to 12 months (7.14%) whereas adult (>1 to 2 years) and older (> 2 years) dogs found negative to this infection. Comparatively higher prevalence of CPV infection was detected in male (8.33%) than in female (5.88%) dogs. No CPV infection was recorded in vaccinated dogs, whereas 19.23% unvaccinated dogs affected with this infection. All the rectal swab samples of apparently healthy dogs (no sign of diarrhea) showed negative to CPV infection, whereas 25.0% dogs with diarrhea sign found positive to CPV infection. Review of inland literature reveals that out of nine articles published on CPV infection of which RapiGen CPV Ag test kit has been used in four, PCR in one and clinical method of diagnosis in four articles, whereas only RapiGen CIV Ag test kit has been used for the diagnosis of CIV infection. Conclusion: The prevalence of CPE associated with diarrhea in 7.14% pet dogs has been recognized in this investigation with supports of earlier reports whereas the prevalence of CIV in pet dogs varied widely from negative to 13.33% prevalence in dogs. Age and vaccination of dogs have been recognized as primary risk factors which should be considered in planning a control program whereas others factors like breeds, season, geographical areas can be considered as secondary risk factors varied widely in different reports and countries. Comparative evaluation of different diagnostic tests to find out the ‘gold standard’ and vaccination against CPI in puppies may be suggested to control this disease in dogs. Keywords: Prevalence, Risk factors, CIV, CPV, Dogs, Breeds, Dhaka district, RapiGen Ag test kit, Brief review
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».