SARS Response And Experiences Post The 2003 Outbreak And The Effect On Moving Rotating Staff To Offshore Operations
Notice bibliographique
Résumé
SARS Response And Experiences Post The 2003 Outbreak And The Effect On Moving Rotating Staff To Offshore Operations Philippe Guibert Philippe Guibert International SOS Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. Paper Number: SPE-86645-MS https://doi.org/10.2118/86645-MS Published: March 29 2004 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Guibert, Philippe. "SARS Response And Experiences Post The 2003 Outbreak And The Effect On Moving Rotating Staff To Offshore Operations." Paper presented at the SPE International Conference on Health, Safety, and Environment in Oil and Gas Exploration and Production, Calgary, Alberta, Canada, March 2004. doi: https://doi.org/10.2118/86645-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Conference and Exhibition on Health, Safety, Environment, and Sustainability Search Advanced Search AbstractThe Severe Acute Respiratory Syndrome (SARS) in 2003 is an emerging disease that spread rapidly worldwide. Remote and offshore operations appeared particularly at risk for various reasons. Medical teams were not prepared for the management of outbreaks. The density of population made close contact transmission possible. Remoteness resulted in misinterpreted information, weak and delayed adapted support, and improbable medical evacuation.As a result, companies immediately set travel policies and screening procedures to decrease the probability of having someone on site presenting early signs of SARS. In cooperation with site management, alert level policies were implemented to plan responses adapted to pre-defined thresholds of risk. Information and training focused on prompt detection and isolation of cases, strict infection control in medical facilities, and the tracing and quarantine of contacts. Specific SARS management kits were elaborated to address the treatment of suspect cases, the organisation of isolation and the protection of medical teams. Medical evacuation of cases became a challenge due to medical transportation issues, operational limitations and international administrative constraints. Information dissemination services and email alerts were set up via a SARS dedicated web site in order to provide compiled data and operational information to medical directors.This paper will review the experiences of companies tackling the SARS outbreak in remote settings. In the absence of a vaccine, robust diagnostic tests and specific treatment, this medical issue appeared initially to have no medical, but only operational answers. Options chosen in terms of staff management, treatment abilities and evacuation capacities will be discussed. In conclusion, the importance of appropriate communication and accurate information will be analysed to help corporations make appropriate decisions in such challenging circumstances.IntroductionThe severe acute respiratory syndrome (SARS) is described as the first epidemic of the XXI century. SARS hit the world in November 2002 when the first cases of atypical pneumonia were reported from the Guangdong province, South China. The disease rapidly spread to Hong Kong, Vietnam and Singapore, and then reached other hemisphere and continents. In such a short notice, nobody was prepared to tackle it. When it came to the attention of Public Health authorities, and to the hands of companies decision makers as they had at that time very little knowledge of the disease.The agent itself was unknown, the dissemination was puzzling, transmission was unclear and the reservoir was unidentified. Epidemiologically, the incubation period was vague, thought to be of some days, and some rumours existed of 'superspreaders', able to contaminate a large number of other people. Clinically, the diagnosis was differential with other pulmonary infectious diseases, and no diagnostic means were available.It is under these circumstances that companies running remote sites had to take decisions, and to implement SARS management policies. For the first time companies' management understood that national employees were not 'the risk' (i.e. African employees with viral hemorrhagic fever) but the non-nationals were (Filipinos, Canadians), bringing an uncontrollable disease in an unprepared environment.Remoteness of offshore operations was not comparable, depending of their geographic location. For instance, the situation was indeed not comparable between those rigs located in the SARS transmission area, where everybody could have possibly been infected (i.e. offshore Vietnam), and those out of this area (i.e. offshore Africa), where contamination would have come from a rotator. Keywords: health & medicine, transmission, society of petroleum engineers, quarantine, contingency planning, medical facility, information, artificial intelligence, machine learning, isolation Subjects: HSSE & Social Responsibility Management, Health, Contingency planning and emergency response This content is only available via PDF. 2004. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,002 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,002 |
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 ».