Desafíos en la atención de los pacientes con cáncer durante la pandemia COVID-19

Vela-Ruiz, José M.; Ramos, Willy; Cruz-Vargas, Jhony A. De La

doi:10.17843/rpmesp.2020.373.5536

Cited by 6 publications

(3 citation statements)

References 3 publications

(8 reference statements)

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“…The national lockdown and overstretched health care system have been associated with an increasing concern about the effect on other patient groups requiring time-critical access to health care services and a decrease in most non-COVID-19 health services, for example, health services for patients with chronic diseases such as cancer, with whom timely diagnoses and treatment are vital to ensure patients’ survival. Since March 2020, in six cancer centers, rescheduling of treatments and diagnostic procedures was reported, especially in metastatic patients, with an average reduction of 40% in weekly care and treatments [ 9 ]. Additionally, there was an increase in cancer mortality in an oncology reference center in 2020, compared with in 2019 [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Estimating Excess Mortality Due to Prostate, Breast, and Uterus Cancer during the COVID-19 Pandemic in Peru: A Time Series Analysis

Ramírez-Soto

Salazar-Peña

Vargas-Herrera

2023

IJERPH

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During the COVID-19 pandemic, most of the deaths in Peru were related to COVID-19; however, cancer deaths have also been exacerbated in the first months of the pandemic. Despite this, excess mortalities of prostate, breast, and uterus cancer are not available by age group and region from January to December 2020. Therefore, we estimated the excess deaths and excess death rates (per 100,000 habitants) due to prostate, breast, and uterus cancer in 25 Peruvian regions. We did a time series analysis. Prostate, breast, and uterus cancer death data for 25 Peruvian regions were retrieved during the COVID-19 pandemic in 2020, as well as data for up to 3 years prior (2017–2019) from the Sistema Informatico Nacional de Defunciones at the Ministry of Health of Peru. Deaths in 2020 were defined as observed deaths. The expected deaths (in 2020) were estimated using the average deaths over 3 preceding years (2017, 2018 and 2019). Excess mortality was calculated as the difference between observed mortality and expected mortality in 2020. We estimated that the number of excess deaths and the excess death rates due to prostate, breast, and uterus cancer were 610 deaths (55%; 12.8 deaths per 100,000 men), 443 deaths (43%; 6 deaths per 100,000 women), and 154 deaths (25%; 2 deaths per 100,000 women), respectively. Excess numbers of deaths and excess death rates due to prostate and breast cancer increased with age. These excess deaths were higher in men aged ≥ 80 years (596 deaths (64%) and 150 deaths per 100,000 men) and women aged 70–79 years (229 deaths (58%) and 15 deaths per 100,000 women), respectively. In summary, during the COVID-19 pandemic, there were excess prostate and breast cancer mortalities in 2020 in Peru, while excess uterus cancer mortalities were low. Age-stratified excess death rates for prostate cancer and breast cancer were higher in men ≥ 80 years and in women ≥ 70 years, respectively.

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Section: Introductionmentioning

confidence: 99%

Estimating Excess Mortality Due to Prostate, Breast, and Uterus Cancer during the COVID-19 Pandemic in Peru: A Time Series Analysis

Ramírez-Soto

Salazar-Peña

Vargas-Herrera

2023

IJERPH

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“…El Perú fue el primer país latinoamericano en tomar acciones frente al COVID-19, estableciendo a partir del 15 de marzo el Estado de Emergencia Nacional (Decreto Supremo N° 044-2020-PCM, 2020), basado en las recomendaciones de la Organización Mundial de Salud (OMS), medidas que fracasaron, ubicando al Perú en el séptimo país a nivel mundial en contagio y muertes (John Hopkins University, 2020;Galán-Rodas et al, 2020;Arana-Calderón, 2020). Las principales causas del fallo de las medidas gubernamentales fueron la reacción de incertidumbre e incredulidad de la población y el poco uso de cartografía urbana de riesgo al contagio por el COVID-19 (Rosero et al, 2019;Gonzales-Castillo et al, 2020;Vela-Ruiz, 2020). Sin embargo, las grandes brechas sociales permiten comprender el comportamiento de una importante parte de la población que arriesga su vida por tener ingreso económico y así alimentar a sus familias (Llerena y Narváez, 2020).…”

Section: Introductionunclassified

Identificación de áreas de contagio por COVID 19 mediante análisis espacial del equipamiento urbano en Puno, Perú.

Mamani¹,

Condori²,

Atamari³

et al. 2022

ISUCR

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La crisis sanitaria del 2020 por el COVID 19 se ha convertido en el principal problema que enfrentan los gobiernos, en este contexto el análisis espacial es una herramienta que ayudaría al control de la pandemia. El propósito es identificar las zonas de riesgo de contagio COVID 19, a través del análisis espacial del equipamiento bancario y comercial en la ciudad de Puno. Se ha ubicado el equipamiento bancario y comercial en coordenadas UTM WGS 84, para la generación de superficies de respuesta mediante la densidad de Kernel, sumándose los resultados parciales a través del algebra de mapas además se identificó la autocorrelación espacial median el índice de Moran I. La zona de alto riesgo de contagio COVID 19 tiene un área 127 210,44 m2 de que representa el 14 % que abarca 13 manzanas, generando un patrón concéntrico en el centro de la ciudad de Puno, debido a la cercanía de equipamiento bancario con el comercial ocasionando desigualdad con otros sectores de la ciudad.

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“…EL Perú fue uno de los primeros países latinoamericanos en tomar acciones drásticas frente al COVID-19, el 15 de marzo se estableció el Estado de Emergencia Nacional (Decreto Supremo N° 044-2020-PCM, 2020), siendo de carácter obligatorio el aislamiento social juntos a otra medidas sociales y económicas para el país, sin embargo, a 100 días de la toma de medidas por parte del gobierno se contaba con 260810 casos confirmados y 8404 fallecidos (Galán-Rodas et al, 2020;Arana-Calderón, 2020). Una de los principales factores del fallo de las medidas gubernamentales es la reacción de incertidumbre e incredulidad de la población que ha adoptado un comportamiento de minimización de riesgo Vela-Ruiz (2020). Sin embargo, las grandes brechas sociales permiten comprender el comportamiento de una gran parte de la población que arriesgan su vida por tener ingreso económico y así alimentar a sus familias (Llerena y Narváez, 2020).…”

Section: Introductionunclassified

Spatial analysis in the identification of COVID-19 risk areas as a tool for public management in Juliaca, Perú

Mamani¹,

Espinoza²,

Ramos³

et al. 2021

Rev. ciente. UCSA

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Desafíos en la atención de los pacientes con cáncer durante la pandemia COVID-19

Abstract: -

Cited by 6 publications

References 3 publications

Estimating Excess Mortality Due to Prostate, Breast, and Uterus Cancer during the COVID-19 Pandemic in Peru: A Time Series Analysis

Estimating Excess Mortality Due to Prostate, Breast, and Uterus Cancer during the COVID-19 Pandemic in Peru: A Time Series Analysis

Identificación de áreas de contagio por COVID 19 mediante análisis espacial del equipamiento urbano en Puno, Perú.

Spatial analysis in the identification of COVID-19 risk areas as a tool for public management in Juliaca, Perú

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