Impact of climate change on amoeba and the bacteria they host
Notice bibliographique
Résumé
Background Highlights Technical Notes * Cases of disease due to Legionella are reported to NNDSS as legionellosis, which includes Legionnaires' disease, Pontiac fever, and extrapulmonary legionellosis, but are referred to as Legionnaires' disease in this figure or table (because almost all legionellosis cases reported in the United States are Legionnaires' disease cases).§ Only cases of Legionnaires' disease reported to SLDSS are included in this figure or table.± All cases of legionellosis (i.e., Legionnaires' disease, Pontiac fever, and extrapulmonary legionellosis) reported to SLDSS are included in this figure.Legionnaires' Disease Surveillance Summary Report, United States-2018 and 2019 | 6 NNDSS The Centers for Disease Control and Prevention (CDC) coordinates collection of data on all notifiable diseases, including Legionnaires' disease, from across the United States through NNDSS.NNDSS is a passive surveillance system for case-level data.Clinicians and laboratories report cases to local or state health departments, who then investigate the cases and report selected data to CDC.For this report, NNDSS data are limited to Legionnaires' disease case counts, basic demographics, date of disease occurrence, and jurisdiction of residence.The Summary of Notifiable Infectious Diseases-United States (hereafter referred to as the Morbidity and Mortality Weekly Report (MMWR) annual report) reports the official statistics for U.S. Legionnaires' disease cases reported to NNDSS prior to 2016 (https://www.cdc.gov/mmwr/mmwr_nd/index.html).Provisional NNDSS data on reported notifiable infectious diseases for all years are published weekly on CDC WONDER (https://wonder.cdc.gov/ nndss/nndss_weekly_tables_menu.asp), and finalized, yearly summary data for years after 2015 are published annually on CDC WONDER (https://wonder.cdc.gov/nndss/nndss_annual_tables_ menu.asp).Jurisdictions may report cases of any case status (i.e., confirmed, probable, suspect, and unknown) to NNDSS, but only confirmed cases of Legionnaires' disease from the 50 U.S. states, the District of Columbia, and New York City were included in MMWR annual reports and on CDC WONDER from 2000 through 2019, with the following exceptions:• During 2000, 2002, and 2003, Legionnaires' disease cases with probable, suspect, and unknown case status were also included.• During 2001, Legionnaires' disease cases with probable and unknown case status were also included.• During 2000-2001, Legionnaires' disease cases were not reportable in Oregon and West Virginia.■ The case fatality rate (CFR) was 6% for Legionnaires' disease cases, 4% for Pontiac fever cases, 11% for extrapulmonary legionellosis cases, and 7% for cases that did not specify legionellosis syndrome (Figure 5a).• 2019: 7,408 confirmed legionellosis cases were reported to SLDSS from 52 jurisdictions: 7,238 (98%) were Legionnaires' disease, 97 (1%) were Pontiac fever, 42 (1%) were extrapulmonary legionellosis, and 31 (<1%) did not specify legionellosis syndrome (Figure 5b). ■The CFR was 7% for Legionnaires' disease cases, 5% for Pontiac fever cases, 12% for extrapulmonary legionellosis cases, and 6% for cases that did not specify legionellosis syndrome (Figure 5b). Complete reporting jurisdictions
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 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 ».