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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 10, 2020.
Abstract: Depression in the positive patient for COVID-19 is one of the emotional confrontations that must endure during isolation and quarantine, therefore, the objective of the research study is to determine the Level of Depression in positive patients for COVID-19 in the district of Puente Piedra in North Lima, 2020. This is a quantitative, non-experimental, descriptive and cross-sectional study, making a flow chart in relation to home care by the nursing professional in a population of 23 Positive patient for COVID-19 from the Puente Piedra district of North Lima, who answered a questionnaire with Sociodemographic data and the self-assessment scale for Zung's depression. In the results where we can observe, with respect to the level of depression in patients positive for COVID-19, where 14 patients represent 60.9% of the total are with a normal level of depression, 9 patients represent 39.1% of the total are slightly depressed. In conclusion, it is necessary to intervene in the psychological aspect according to the characteristics of each patient such as gender and age, in the future, it is recommended to carry out more research at the national level, as it will allow researchers to go into more detail about the mental health of the patient during and after the COVID-19 pandemic.
Rosa Perez-Siguas, Eduardo Matta-Solis, Hernan Matta-Solis, Anika Remuzgo-Artezano, Lourdes Matta-Zamudio and Melissa Yauri-Machaca, “Level of Depression in Positive Patients for COVID-19 in the Puente Piedra District of North Lima, 2020” International Journal of Advanced Computer Science and Applications(IJACSA), 11(10), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111068
@article{Perez-Siguas2020,
title = {Level of Depression in Positive Patients for COVID-19 in the Puente Piedra District of North Lima, 2020},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111068},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111068},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {10},
author = {Rosa Perez-Siguas and Eduardo Matta-Solis and Hernan Matta-Solis and Anika Remuzgo-Artezano and Lourdes Matta-Zamudio and Melissa Yauri-Machaca}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.