Cómo estimar la letalidad del COVID-19

Domínguez, Jesús I Simón; Domínguéz, Nadima Simón; Núñez, Miguel A Reyes

doi:10.35366/93845

Cited by 7 publications

(4 citation statements)

References 20 publications

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“…Or as I try [19], that is why the author got that the referred lethality was 0.9524%, is the average of 1.02%, between 0.65 and 1.34% with 149 countries. 80% of patients behave asymptomatic [20] as in Peru, and that in the absence of molecular evidence then becomes a factor of contagion and death.…”

Section: Discussionmentioning

confidence: 99%

Clustering K-Means Algorithms and Econometric Lethality Model by Covid-19, Peru 2020

Arocutipa¹,

Huallpa²,

Navarro³

et al. 2021

IJACSA

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The study looks at how the Covid-19 wave was in Peru, where and when it begins, where and when it culminates. As it faced, the shortcomings that were detected and especially that very little could be done to confront the disease as an emerging country. The wave began in May and ended in August with the greatest number of deaths and then fell. Methodology: Basic, explanatory level, with SINADEF data by region, of the situation room, to get the number of deaths, between January and September 2020/2019. Results. The relationship between infected and deceased was found a Pearson Rho of 0.94. The total death toll model depends on Lima, Huánuco, and Piura. The differences between the deaths of 2019 and 2020 were corroborated with the ANOVA, where a bilateral sig of 0.042 was got. The COVID cycle is found in the cluster algorithm model, of the nine months in 44.4% of them, it generated the highest lethality, between May and August. Conclusion. It is proven that COVID devastated regions of Peru.The model generated by the K-Means algorithm tells us that the COVID-19 cycle began in March and reached its highest peak of deceased and then descended.

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Section: Discussionmentioning

confidence: 99%

Clustering K-Means Algorithms and Econometric Lethality Model by Covid-19, Peru 2020

Arocutipa¹,

Huallpa²,

Navarro³

et al. 2021

IJACSA

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“…Aunque se sabe que estos datos pueden variar en función de otros aspectos más particulares (Simón, Simón y Reyes, 2020). La mayor parte de las comunidades indígenas donde se concentran estos casos de letalidad se encuentran en zonas donde la presencia del Estado mexicano es limitada, en algunas situaciones estos carecen de acceso a servicios básicos, además son marginados en sus capacidades productivas o comerciales, lo que debilita sus posibilidades de mejorar su propia calidad de vida (Azamar y Téllez, 2021).…”

Section: 𝐶𝐹𝑅 =unclassified

Regiones de Emergencia Ambiental y alternativas colectivas frente a la crisis socioambiental

Azamar-Alonso,

Téllez-Ramírez

2023

Estudios Sociales

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Objetivo: analizar los esfuerzos estatales y comunitarios para enfrentar los problemas ambientales y la afectación sanitaria en el país a través de dos estrategias diferentes: 1) las Regiones de Emergencia Ambiental (REA) y 2) la Estrategia Tayolchikawalis (ET) de la Sociedad Cooperativa Agropecuaria Regional “Tosepan Titataniske” (Sociedad Tosepan Titataniske (STT)). Metodología: se realizó un análisis de caso a partir de la revisión física de la situación social y ambiental en territorio, así como de la verificación de los esfuerzos colectivos para enfrentar la problemática ambiental que les afectaba. Resultados: se observó que los procesos comunitarios se orientan al desarrollo solidario con participación colectiva, mientras que las REA son proyectos focalizados en objetivos de recuperación ambiental con una participación social más limitada. Limitaciones: como principal, y más importante, dificultad para la realización de este trabajo fueron los riesgos por la crisis sanitaria que obstaculizaron algunas de las visitas, entrevistas y consultas. Conclusión: tanto los esfuerzos sociales como el interés del Estado manifiestan efectos positivos para la recuperación ambiental territorial, pero el tejido social solamente puede restablecerse cuando se reconoce la importancia de la participación colectiva en la planeación y desarrollo de estos proyectos.

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“…The fatality ratio was calculated as the proportion of people who died from the disease to the total number of people diagnosed with it. The measurement was used to assess both the mortality of an outbreak and the public health situation in a specific area [15].…”

Section: Data Collection and Statistical Analysismentioning

confidence: 99%

Risk Factors for Mortality in Adult Patients With Covid 19 in Northeast Mexico

Bolado¹,

Vázquez²,

Silva³

et al. 2022

JSCR

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Introduction The pandemic, in terms of incidence, mortality and speed of expansion, is heterogeneous, even between regions of the same country, finding differences in its clinical presentation, severity and lethality; For this reason, the research aims to: know the risk factors associated with mortality in adult patients with COVID 19. Material and methods Retrospective cohort study included hospitalized patients, older than 18 years, diagnosed with Covid-19 through RT-PCR test. Data collected from the electronic file and analyzed to detect differences between survivors and non-survivors, using Student's t-test and Chi-square or Fisher's exact test. The relative risk was calculated with a 95% Confidence Interval (with statistical significance p <0.05. Results 247 patients were studied. With a lethality of 50.20%. Arterial hypertension was the most frequent comorbidity. The oxygen supply with an invasive device was associated with a high risk of death. Tracheostomy is a high factor (p <0.001). With a statistical difference in favor of the early one. The mask and the nasal tips showed a protective effect (p <0.05). The most frequent symptoms were dyspnea, fever and cough without statistical difference. SatO2 at admission did show significance between both groups. Conclusion There is a difference between the risk factors in both groups. A peripheral SatO2 of <90% at admission and the determination of PNC and D-DIME warrant close monitoring to avoid severe complications.

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Cómo estimar la letalidad del COVID-19

Cited by 7 publications

References 20 publications

Clustering K-Means Algorithms and Econometric Lethality Model by Covid-19, Peru 2020

Clustering K-Means Algorithms and Econometric Lethality Model by Covid-19, Peru 2020

Regiones de Emergencia Ambiental y alternativas colectivas frente a la crisis socioambiental

Risk Factors for Mortality in Adult Patients With Covid 19 in Northeast Mexico

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