A serological survey of canine respiratory coronavirus in New Zealand

More, GD; Dunowska, Magdalena; Acke, Els; Cave, Nick J.

doi:10.1080/00480169.2019.1667282

Cited by 20 publications

(14 citation statements)

References 12 publications

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“…Most CRCoV serological testing methods utilise a high degree of similarity between CRCoV and bovine coronavirus (BCoV) spike proteins and resulting serological crossreactivity [ 11 ]. This study used a commercial ELISA kit (BIO K 392 Monoscreen AbELISA Bovine coronavirus/Competition, Bio-X diagnostics, Rochefort Belgium) as previously described [ 12 ]. It is a competitive ELISA with wells coated with BCoV antigens.…”

Section: Methodsmentioning

confidence: 99%

The Emergence of SARS-CoV-2 within the Dog Population in Croatia: Host Factors and Clinical Outcome

Stevanović

Tabain

Vilibić-Čavlek

et al. 2021

Viruses

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Over a year into the COVID-19 pandemic, there is growing evidence that SARS-CoV-2 infections among dogs are more common than previously thought. In this study, the prevalence of SARS-CoV-2 antibodies was investigated in two dog populations. The first group was comprised of 1069 dogs admitted to the Veterinary Teaching Hospital for any given reason. The second group included dogs that shared households with confirmed COVID-19 cases in humans. This study group numbered 78 dogs. In COVID-19 infected households, 43.9% tested ELISA positive, and neutralising antibodies were detected in 25.64% of dogs. Those data are comparable with the secondary attack rate in the human population. With 14.69% of dogs in the general population testing ELISA positive, there was a surge of SARS-CoV-2 infections within the dog population amid the second wave of the pandemic. Noticeably seroprevalence of SARS-CoV-2 in the dog and the human population did not differ at the end of the study period. Male sex, breed and age were identified as significant risk factors. This study gives strong evidence that while acute dog infections are mostly asymptomatic, they can pose a significant risk to dog health. Due to the retrospective nature of this study, samples for viral isolation and PCR were unavailable. Still, seropositive dogs had a 1.97 times greater risk for developing central nervous symptoms.

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Section: Methodsmentioning

confidence: 99%

The Emergence of SARS-CoV-2 within the Dog Population in Croatia: Host Factors and Clinical Outcome

Stevanović

Tabain

Vilibić-Čavlek

et al. 2021

Viruses

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“…Several epidemiological and serological studies have demonstrated that CRCoV is one of the etiological agents involved in canine infectious respiratory disease (CIRD) in dog shelters and kennels worldwide ( Maboni et al, 2019 ; Mitchell et al, 2017 ; More et al, 2020 ). Experimental studies of CRCoV infection in dogs from geographically distinct regions have shown signs of mild respiratory disease, including nasal discharge, sneezing and coughing ( Mitchell et al, 2013 ).…”

Section: Relevant Coronaviruses In Veterinary Medicinementioning

confidence: 99%

Clinical and molecular aspects of veterinary coronaviruses

et al. 2021

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Coronaviruses are a large group of RNA viruses that infect a wide range of animal species. The replication strategy of coronaviruses involves recombination and mutation events that lead to the possibility of cross-species transmission. The high plasticity of the viral receptor due to a continuous modification of the host species habitat may be the cause of cross-species transmission that can turn into a threat to other species including the human population. The successive emergence of highly pathogenic coronaviruses such as the Severe Acute Respiratory Syndrome (SARS) in 2003, the Middle East Respiratory Syndrome Coronavirus in 2012, and the recent SARS-CoV-2 has incentivized a number of studies on the molecular basis of the coronavirus and its pathogenesis. The high degree of interrelatedness between humans and wild and domestic animals and the modification of animal habitats by human urbanization, has favored new viral spreads. Hence, knowledge on the main clinical signs of coronavirus infection in the different hosts and the distinctive molecular characteristics of each coronavirus is essential to prevent the emergence of new coronavirus diseases. The coronavirus infections routinely studied in veterinary medicine must be properly recognized and diagnosed not only to prevent animal disease but also to promote public health.

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“…It results in being categorized as a wicked problem [16] due to its complexity and such uncertain behavior. Due to this problem, the researchers can still not get the vaccine or medicine for its complete cure [17,18,19,20,21,22].…”

Section: Figure 1 Worldwide Actual Covid-19 Status As On 30 June 2020mentioning

confidence: 99%

FOCOMO: Forecasting and monitoring the worldwide spread of COVID-19 using machine learning methods

Agrawal

Madaan

Roy

et al. 2021

Journal of Interdisciplinary Mathematics

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More than 185 countries get affected in the present SARS-COV-2 (aka COVID-19 or n-Corona virus) epidemic. Experts from different domains are contributing a lot to combat this pandemic effectively. Data analysts have made lots of efforts, IT experts also to forecast the severity of infected cases, the death rate, recovery rate, and other health indicators using various statistical and machine learning models. These forecasting models may motivate and help the policymakers to make the decisions based on these predicted results. Although any prediction on such a pandemic problem is non-monotonic and uncertain, these predictions may help us plan to take the needful actions while dealing with this tragic situation. Lots of symptomatic and asymptotic human behavior are observed while investigating the cases. Also, many countries are making dynamic changes in their policies to combat this pandemic. Therefore, such heterogeneous and dynamic changes in policies and human behavior make the problem of proposing an accurate predicting model more complex. We used machine learning methods to monitor the COVID-19 impact country-wise and developed a FOCOMO model to forecast the severity worldwide till the mid of Oct 2020. We referred to the COVID-19 dataset publicly shared by John Hopkins University. We proposed a purely predictive model to monitor the pandemic (without claiming it as perfect or accurate) into three Phases: i) categorization of countries based on the severity of COVID-19 cases, ii) prediction of daily case reporting, and iii) normalization of flattening the forecasting curve based on deaths and recovery rate. These forecasting models will help monitor and plan the human behaviors and severity of the pandemic country-wise and will provide an opportunity to take some corrective actions for shaping the future.

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A serological survey of canine respiratory coronavirus in New Zealand

Cited by 20 publications

References 12 publications

The Emergence of SARS-CoV-2 within the Dog Population in Croatia: Host Factors and Clinical Outcome

The Emergence of SARS-CoV-2 within the Dog Population in Croatia: Host Factors and Clinical Outcome

Clinical and molecular aspects of veterinary coronaviruses

FOCOMO: Forecasting and monitoring the worldwide spread of COVID-19 using machine learning methods

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