Epidemiological Algorithm for Early Detection of COVID-19 Cases in a Mexican Oncologic Center.
Epidemiological Algorithm for Early Detection of COVID-19 Cases in a Mexican Oncologic Center.
复制标题
用于早期检测墨西哥肿瘤中心的COVID-19病例的流行病学算法。
DOI:
10.3390/healthcare10030462
复制
发表时间:
2022-03-01
期刊:
影响因子:
--
通讯作者:
Garza-Rodríguez ML
中科院分区:
文献类型:
--
作者:
González-Escamilla M;Pérez-Ibave DC;Burciaga-Flores CH;Ortiz-Murillo VN;Ramírez-Correa GA;Rodríguez-Niño P;Piñeiro-Retif R;Rodríguez-Gutiérrez HF;Alcorta-Nuñez F;González-Guerrero JF;Vidal-Gutiérrez O;Garza-Rodríguez ML
An early detection tool for latent COVID-19 infections in oncology staff and patients is essential to prevent outbreaks in a cancer center. (1) Background: In this study, we developed and implemented two early detection tools for the radiotherapy area to identify COVID-19 cases opportunely. (2) Methods: Staff and patients answered a questionnaire (electronic and paper surveys, respectively) with clinical and epidemiological information. The data were collected through two online survey tools: Real-Time Tracking (R-Track) and Summary of Factors (S-Facts). Cut-off values were established according to the algorithm models. SARS-CoV-2 qRT-PCR tests confirmed the positive algorithms individuals. (3) Results: Oncology staff members (n = 142) were tested, and 14% (n = 20) were positives for the R-Track algorithm; 75% (n = 15) were qRT-PCR positive. The S-Facts Algorithm identified 7.75% (n = 11) positive oncology staff members, and 81.82% (n = 9) were qRT-PCR positive. Oncology patients (n = 369) were evaluated, and 1.36% (n = 5) were positive for the Algorithm used. The five patients (100%) were confirmed by qRT-PCR. (4) Conclusions: The proposed early detection tools have proved to be a low-cost and efficient tool in a country where qRT-PCR tests and vaccines are insufficient for the population.
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DOI:
10.1016/s2468-2667(21)00055-4
发表时间:
2021-05
期刊:
The Lancet. Public health
影响因子:
--
作者:
Graham MS;Sudre CH;May A;Antonelli M;Murray B;Varsavsky T;Kläser K;Canas LS;Molteni E;Modat M;Drew DA;Nguyen LH;Polidori L;Selvachandran S;Hu C;Capdevila J;COVID-19 Genomics UK (COG-UK) Consortium;Hammers A;Chan AT;Wolf J;Spector TD;Steves CJ;Ourselin S
通讯作者:
Ourselin S
DOI:
10.1016/j.ejca.2021.02.027
发表时间:
2021-05
期刊:
European journal of cancer (Oxford, England : 1990)
影响因子:
--
作者:
Ladoire S;Goussot V;Redersdorff E;Cueff A;Ballot E;Truntzer C;Ayati S;Bengrine-Lefevre L;Bremaud N;Coudert B;Desmoulins I;Favier L;Fraisse C;Fumet JD;Hanu R;Hennequin A;Hervieu A;Ilie S;Kaderbhai C;Lagrange A;Martin N;Mazilu I;Mayeur D;Palmier R;Simonet-Lamm AL;Vincent J;Zanetta S;Arnould L;Coutant C;Bertaut A;Ghiringhelli F
通讯作者:
Ghiringhelli F
影响因子:
3.3
作者:
DuBois, Raymond N.
通讯作者:
DuBois, Raymond N.
影响因子:
51.1
作者:
Lee, Lennard Y. W.;Cozier, Jean-Baptiste;Kerr, Rachel
通讯作者:
Kerr, Rachel
影响因子:
3.7
作者:
Cui M;Wu X;Mao J;Wang X;Nie M
通讯作者:
Nie M