Seasonal variation in occurrence of <i>Coxiella burnetii</i> infection in buffaloes slaughtered in India

Yadav, Jay Prakash; Malik, S.V.S.; Dhaka, Pankaj; Kumar, Manesh; Bhoomika, Sirsant; Gourkhede, Diksha; Kumar, Brijesh; Verma, Med Ram; Barbuddhe, Sukhadeo B.; Rawool, Deepak B.

doi:10.1080/09291016.2019.1627643

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…However, some studies shown the increased detection of C. burnetii infection during the winter season; authors link these results to the higher density of animals and prolonged periods of confinement in barns. The close proximity of animals in barns during colder months may facilitate the rapid spread of the infection through the inhalation of dust particles contaminated with C. burnetii (Yadav et al 2021). Furthermore, in intensive farming systems where healthy animals are housed close to infected ones, there is an elevated risk of transmission of C. burnetii compared to animals in extensive grazing systems (Yadav et al 2021).…”

Section: Resultsmentioning

confidence: 99%

Seasonal impact on Q fever in sheep, Bosnia and Herzegovina

Hadžimusić,

Velić,

Čengić

et al. 2024

Rev. vet.

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This study investigates the prevalence of Coxiella burnetii antibodies in sheep and examines the seasonal impact on Q fever distribution. A total of 253 blood samples from sheep in Bosnia and Herzegovina during summer and winter were used, and, the research employed ELISA testing for antibody detection. Findings revealed a significant seasonal variation in seroprevalence, with 41 positive cases identified: 37 in winter and 4 in summer, indicating a higher infection rate during colder months. Statistical analysis suggests a significant association (p<0.05) between season and infection rates; winter conditions, increased indoor density, and lambing activities may elevate transmission risks. These results underscore the importance of considering seasonal factors in Q fever management and surveillance in sheep, contributing to a better understanding of its epidemiology and informing public health strategies. The study highlights the need for further systemic-epidemiological research across different geographies and management practices to elucidate the full impact of seasonality on Q fever prevalence.

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Section: Resultsmentioning

confidence: 99%

Seasonal impact on Q fever in sheep, Bosnia and Herzegovina

Hadžimusić,

Velić,

Čengić

et al. 2024

Rev. vet.

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“…(2019) reported the first confirmed C. burnetii induced abortion in a doe in Tamil Nadu using molecular assay. In Indian settings, surveillance‐based studies have been carried out in recent past from different parts of the country in small and large ruminants pertaining to organized (Dhaka et al ., 2019), semi‐intensive (Gangoliya et al ., 2019), and backyard settings (Sahu et al ., 2018; Keshavamurthy et al ., 2019; Shome et al ., 2019; Leahy et al ., 2020), gaushalas (Kumar et al ., 2019a), slaughterhouses (Pradeep et al ., 2017; Yadav et al ., 2019). Livestock reared under ‘organized farming’ systems are fed in the same barns, particularly in the commercial livestock rearing.…”

Section: Coxiellosis In Indian Subcontinentmentioning

confidence: 99%

“…The calving schedules in the Indian subcontinent are quite often planned during the winter season. In addition, higher density of the stocks, prolonged stay at the shelters facilitates the aerosol transmission of the pathogen (Yadav et al ., 2019).…”

Section: Risk and Transmission Factors In The Indian Subcontinentmentioning

confidence: 99%

Current perspectives on the occurrence of Q fever: highlighting the need for systematic surveillance for a neglected zoonotic disease in Indian subcontinent

Sahu

Rawool

Dhaka

et al. 2020

Environ Microbiol Rep

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Summary Coxiellosis or Q fever is an important global occupational zoonotic disease caused by one of the most contagious bacterial pathogens – Coxiella burnetii, which ranks one among the 13 global priority zoonoses. The detection of C. burnetii infection is exhibiting an increasing trend in high‐risk personnel around the globe. It has increasingly been detected from foods of animal origin (including bulk milk, eggs, and meat) as well as tick vectors in many parts of the world. Coxiellosis is reported to be an important public health threat causing spontaneous abortions in humans and potential reproductive failure, which would result in production losses among livestock. Further, comprehensive coverage of the reports and trends of Q fever in developing countries, where this infection is supposed to be widely prevalent appears scarce. Also, the pathogen remains grossly neglected and underreported. Moreover, policymakers and funding agencies do not view it as a priority problem, especially in the Indian subcontinent, including Sri Lanka, Bhutan, Pakistan, Nepal, Bangladesh and Maldives. Here, we review the occurrence and epidemiology of the disease in a global context with special emphasis on its status in the Indian subcontinent.

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“…Data on the presence and prevalence of C. burnetii in small mammals and their epidemiology in Tanzania are limited. Globally, studies on the presence and prevalence of C. burnetii in small mammals and other animals have demonstrated significant variation in the prevalence of C. burnetii depending on factors such as species, sex, age, season of sampling (wet or dry) and sampling location (Foronda et al, 2015;Gardon et al, 2001;Webster et al, 1995;Yadav et al, 2019). In many African countries, there are few studies on C. burnetii presence and data on prevalence in both animal and humans are scarce (Salifu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Globally, studies on the presence and prevalence of C . burnetii in small mammals and other animals have demonstrated significant variation in the prevalence of C. burnetii depending on factors such as species, sex, age, season of sampling (wet or dry) and sampling location (Foronda et al., 2015; Gardon et al., 2001; Webster et al., 1995; Yadav et al., 2019). In many African countries, there are few studies on C .…”

Section: Introductionmentioning

confidence: 99%