First expert elicitation of knowledge on drivers of emergence of the COVID‐19 in pets

Saegerman, Claude; Bianchini, Juana; Renault, Véronique; Haddad, Nadia; Humblet, Marie‐France

doi:10.1111/tbed.13724

Cited by 11 publications

(13 citation statements)

References 54 publications

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“…In summary, at present, there is insufficient data to identify and prioritize the drivers for the infection of companion animals [ 33 ]. Reported cases in animals correspond to independent and sporadic events.…”

Section: Discussionmentioning

confidence: 99%

A household case evidences shorter shedding of SARS-CoV-2 in naturally infected cats compared to their human owners

Neira

Brito

Agüero

et al. 2021

Emerging Microbes & Infections

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been detected in domestic and wild cats. However, little is known about natural viral infections of domestic cats, although their importance for modelling disease spread, informing strategies for managing positive human-animal relationships and disease prevention. Here, we describe the SARS-CoV-2 infection in a household of two human adults and sibling cats (one male and two females) using real-time RT–PCR, an ELISA test, viral sequencing, and virus isolation. On May 5th, 2020, the cat-owners tested positive for SARS-CoV-2. Two days later, the male cat showed mild respiratory symptoms and tested positive. Four days after the male cat, the two female cats became positive, asymptomatically. Also, one human and one cat showed antibodies against SARS-CoV-2. All cats excreted detectable SARS-CoV-2 RNA for a shorter duration than humans and viral sequences analysis confirmed human-to-cat transmission. We could not determine if cat-to-cat transmission also occurred.

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Section: Discussionmentioning

confidence: 99%

A household case evidences shorter shedding of SARS-CoV-2 in naturally infected cats compared to their human owners

Neira

Brito

Agüero

et al. 2021

Emerging Microbes & Infections

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“…A sensitivity analysis was performed according to the same methodology developed by [ 9 ] to analyse the robustness of the expert elicitation and the putative influence of the composition of the expert panel in the weight of each gesture barrier. Briefly, the robustness of expert elicitation was tested using a selection of 10 different panels of 25 experts, randomly selected among the 38 available experts.…”

Section: Methodsmentioning

confidence: 99%

The First Random Observational Survey of Barrier Gestures against COVID-19

Renault

Humblet

Parisi

et al. 2021

IJERPH

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In the context of COVID-19 in Belgium, face-to-face teaching activities were allowed in Belgian universities at the beginning of the 2020–2021 academic year. Nevertheless, several control measures were established to control COVID-19 transmission on the campuses. To ensure compliance with these measures, a random observational survey, based on five barrier gestures, was implemented at the University of Liege (greetings without contact, hand sanitisation, following a one-way traffic flow, wearing a mask and physical distancing). Each barrier gesture was weighted, based on experts’ elicitation, and a scoring system was developed. The results were presented as a diagram (to identify the margin of improvement for each barrier gesture) and a risk management barometer. In total, 526 h of observations were performed. The study revealed that some possible improvements could be made in the management of facilities, in terms of room allocation, the functionality of hydro-alcoholic gel dispensers, floor markings and one-way traffic flow. Compliance with the barrier gestures reached an overall weighted score of 68.2 (between 0 and 100). Three barrier gestures presented a lower implementation rate and should be addressed: the use of hydro-alcoholic gel (particularly when exiting buildings), compliance with the traffic flow and the maintenance of a 1.5 m physical distance outside of the auditoriums. The methodology and tool developed in the present study can easily be applied to other settings. They were proven to be useful in managing COVID-19, as the barometer that was developed and the outcomes of this survey enabled an improved risk assessment on campuses, and identified the critical points to be addressed in any further public health communication or education messages.

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“…Transmission routes of COVID-19 were recently summarised [ 3 ]. The main routes are the direct contact [ 4 , 5 ], and human-to-human transmission by infectious droplets, which are particles > 5–10μm in diameter [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Clinical decision support tool for diagnosis of COVID-19 in hospitals

Saegerman

Gilbert²,

Donneau

et al. 2021

PLoS ONE

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Background The coronavirus infectious disease 19 (COVID-19) pandemic has resulted in significant morbidities, severe acute respiratory failures and subsequently emergency departments’ (EDs) overcrowding in a context of insufficient laboratory testing capacities. The development of decision support tools for real-time clinical diagnosis of COVID-19 is of prime importance to assist patients’ triage and allocate resources for patients at risk. Methods and principal findings From March 2 to June 15, 2020, clinical patterns of COVID-19 suspected patients at admission to the EDs of Liège University Hospital, consisting in the recording of eleven symptoms (i.e. dyspnoea, chest pain, rhinorrhoea, sore throat, dry cough, wet cough, diarrhoea, headache, myalgia, fever and anosmia) plus age and gender, were investigated during the first COVID-19 pandemic wave. Indeed, 573 SARS-CoV-2 cases confirmed by qRT-PCR before mid-June 2020, and 1579 suspected cases that were subsequently determined to be qRT-PCR negative for the detection of SARS-CoV-2 were enrolled in this study. Using multivariate binary logistic regression, two most relevant symptoms of COVID-19 were identified in addition of the age of the patient, i.e. fever (odds ratio [OR] = 3.66; 95% CI: 2.97–4.50), dry cough (OR = 1.71; 95% CI: 1.39–2.12), and patients older than 56.5 y (OR = 2.07; 95% CI: 1.67–2.58). Two additional symptoms (chest pain and sore throat) appeared significantly less associated to the confirmed COVID-19 cases with the same OR = 0.73 (95% CI: 0.56–0.94). An overall pondered (by OR) score (OPS) was calculated using all significant predictors. A receiver operating characteristic (ROC) curve was generated and the area under the ROC curve was 0.71 (95% CI: 0.68–0.73) rendering the use of the OPS to discriminate COVID-19 confirmed and unconfirmed patients. The main predictors were confirmed using both sensitivity analysis and classification tree analysis. Interestingly, a significant negative correlation was observed between the OPS and the cycle threshold (Ct values) of the qRT-PCR. Conclusion and main significance The proposed approach allows for the use of an interactive and adaptive clinical decision support tool. Using the clinical algorithm developed, a web-based user-interface was created to help nurses and clinicians from EDs with the triage of patients during the second COVID-19 wave.

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First expert elicitation of knowledge on drivers of emergence of the COVID‐19 in pets

Cited by 11 publications

References 54 publications

A household case evidences shorter shedding of SARS-CoV-2 in naturally infected cats compared to their human owners

A household case evidences shorter shedding of SARS-CoV-2 in naturally infected cats compared to their human owners

The First Random Observational Survey of Barrier Gestures against COVID-19

Clinical decision support tool for diagnosis of COVID-19 in hospitals

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