Climate Variability and Avian Cholera Transmission in Guangxi, China

Qin, HY; Jh, Xiao; Jx, Li; Gao, Xiang; Wang, HB

doi:10.1590/1806-9061-2016-0411

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…Pastuerella multocida, the causal agents of fowl cholera and it can cause a zoonotic infection in humans which typically is a result of bites or scratches from domestic pets (Qin et al, 2017). The disease occurs as a fulminating disease with massive bacteremia, and high morbidity and mortality.…”

Section: Introductionmentioning

confidence: 99%

Isolation and identification of Escherichia coli, Salmonella and Pasteurella from holding grounds of live-bird markets at Addis Ababa, Ethiopia

Gebeyehu¹,

Tulu²,

Negera³

2018

Afr. J. Microbiol. Res.

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A cross-sectional study was conducted to isolate and identify of Escherchia coli, Pastuerella multocida, Salmonella gallinarum and Salmonella pullorum from the holding grounds of five purposively selected Addis Ababa live bird markets from November 2016 to May 2017 using bacterial culture, grams staining and biochemical testing. A total of 90 pooled fecal samples were collected as both deep (35) (bottom layer of the feces) and surface (55) (top layer of the feces). The specimens were inoculated directly into blood agar and incubated at 37°C for 24 h. After subsequent subcultures of the colony on the blood agar, to get pure colonies, the isolates were cultured on MacConkey agar and Salmonella shigella agar to differentiate bacterial colonies. Gram staining and biochemical tests were carried out on the pure colonies and a loop of the isolates were inoculated into nutrient broth and kept for further investigation of the bacteria. The results of the study revealed that, out of the 90 total samples examined, 32 (35.55%) of the samples were found to be positive for E. coli. Based on the sample types the study indicated that 55 (61.10%) surface fecal samples, 32 (58.20%) samples were positive for E. coli, and in 35 (38.90%) deep fecal layers, there was no E. coli positive samples. There was a statistically significant difference between sample types and E. coli isolation rate (p< 0.05). P. multocida, S. gallinarum and S. pullorum were not found during this study. Live bird markets may serve as source of public health and economically important bacteria; however, further microbiological and epidemiological investigation is needed to determine the types of major bacteria predominating in the Addis Ababa live-bird markets and the roles and magnitudes played by these markets in the epidemiology of these pathogens.

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Section: Introductionmentioning

confidence: 99%

Isolation and identification of Escherichia coli, Salmonella and Pasteurella from holding grounds of live-bird markets at Addis Ababa, Ethiopia

Gebeyehu¹,

Tulu²,

Negera³

2018

Afr. J. Microbiol. Res.

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“…Some typical clinical symptoms include nasal discharge, respiratory rales, and coughing [1]. At the same time, as the joints continue to swell and deform, some inflammatory substances leak out, ultimately leading to necrosis [11]. Apart from that, clinical symptoms like ruffled feathers, mucous discharge from the mouth and nose, diarrhea, and general depression are addressed as well [12].…”

Section: Introductionmentioning

confidence: 99%

Poultry disease early detection methods using deep learning technology

Yajie,

Md Johar,

Iqbal Hajamydeen

2023

IJEECS

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<span>Poultry production is a pivotal contributor to global economic growth, playing a central role in promoting human ecosystem sustainability. It offers affordable and readily accessible protein sources, encompassing meat, eggs, and other by-products. Beyond its direct nutritional benefits, poultry production enhances household income, bolsters food security, and aids in poverty reduction, making it integral to worldwide economic advancement. However, as the global population surges, so does the demand for poultry meat and eggs. Concurrently, poultry disease management emerges as a paramount challenge, leading to significant threats to food security and economic stability. Leveraging cutting-edge technology offers promising avenues to devise strategies that not only bolster farm profitability but also mitigate environmental impacts and foster the well-being of both animals and humans. This study systematically reviews the latest literature concerning poultry disease diagnosis based on deep learning techniques, elucidating the clinical manifestations associated with various ailments. The analysis indicates that emerging technological solutions, especially image processing and deep learning (DL), substantially outperform conventional manual inspection methods in early disease detection and warning in the poultry sector. Such innovations underscore their potential for revolutionizing poultry health management and disease mitigation.</span>

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“…Further on, O1 serogroup is divided into classical and El TOR biotypes (Finkelstein, 1996). Cholera is a notifiable endemic disease in developing and underdeveloped countries (Charles et al, 2017; Chowdhury et al, 2017; Qin et al, 2017; Noora et al, 2017). V. cholerae infections are a major factor with estimated annual global mortality around >100,000 (Ali et al, 2012; Reilly, 2015).…”

Section: Introductionmentioning

confidence: 99%

Fishing for vaccines againstVibrio choleraeusingin silicopan-proteomic reverse vaccinology approach

Rashid¹,

Rehman²,

Ali³

et al. 2019

PeerJ

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Background Cholera, an acute enteric infection, is a serious health challenge in both the underdeveloped and the developing world. It is caused by Vibrio cholerae after ingestion of fecal contaminated food or water. Cholera outbreaks have recently been observed in regions facing natural calamities (i.e., earthquake in Haiti 2010) or war (i.e., ongoing civil war in Yemen 2016) where healthcare and sanitary setups have been disrupted as a consequence. Whole-cell oral cholera vaccines (OCVs) have been in market but their regimen efficacy has been questioned. A reverse vaccinology (RV) approach has been applied as a successful anti-microbial measure for many infectious diseases. Methodology With the aim of finding new protective antigens for vaccine development, the V. cholerae O1 (biovar eltr str. N16961) proteome was computationally screened in a sequential prioritization approach that focused on determining the antigenicity of potential vaccine candidates. Essential, accessible, virulent and immunogenic proteins were selected as potential candidates. The predicted epitopes were filtered for effective binding with MHC alleles and epitopes binding with greater MHC alleles were selected. Results In this study, we report lipoprotein NlpD, outer membrane protein OmpU, accessory colonization factor AcfA, Porin, putative and outer membrane protein OmpW as potential candidates qualifying all the set criteria. These predicted epitopes can offer a potential for development of a reliable peptide or subunit vaccine for V. cholerae.

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Climate Variability and Avian Cholera Transmission in Guangxi, China

Cited by 5 publications

References 47 publications

Isolation and identification of Escherichia coli, Salmonella and Pasteurella from holding grounds of live-bird markets at Addis Ababa, Ethiopia

Isolation and identification of Escherichia coli, Salmonella and Pasteurella from holding grounds of live-bird markets at Addis Ababa, Ethiopia

Poultry disease early detection methods using deep learning technology

Fishing for vaccines againstVibrio choleraeusingin silicopan-proteomic reverse vaccinology approach

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