Resilience during the COVID-19 pandemic in a vulnerable population receiving food assistance

Resilience is the ability of people to overcome risky situations that compromise their health and that of their families. Therefore, the objective of this research is to determine resilience during the COVID-19 pandemic in a vulnerable population that receives food assistance. The objective of the research is to determine resilience during the COVID-19 pandemic, in a vulnerable population receiving food assistance. It is a quantitative, descriptive, cross-sectional study, with a total population of 366 participants who answered a questionnaire of sociodemographic data and the Connor-Davidson resilience instrument 25. The results show the resilience of the vulnerable population, where 32 (8.7%) have a low resilience, 124 (33.9%) have an average resilience and 210 (60.9%) have a high resilience. In conclusion, activities that foster resilience should be considered, including broad strategies for mental health support during the pandemic in the general population. © 2023 The Authors.

Depression, anxiety, and stress in residents of a neglected population in the district of San Juan de Lurigancho

The global situation is causing a crisis in the mental health of the population in general as a result of the coronavirus pandemic, and the person in situations of crisis or change, present responses of anxiety, stress, and depression due to the moments of risk that are being faced as a result of the pandemic. Therefore, its research objective is to determine depression, anxiety, and stress in residents of a neglected population in San Juan de Lurigancho. It is a quantitative, descriptive, cross-sectional study, with a total population of 480 participants from the district of San Juan de Lurigancho, who responded to a sociodemographic data questionnaire and the Depression, Anxiety, and Stress Scale (DASS-21). In the results, we observe the correlation between the main variable depression with the variables of sociodemographic aspects in the study, it can be evidenced that there is an existing relationship between the main variable depression, and the variables of the sociodemographic aspects since its score is (p <0.005). In conclusion, professional help for young people should be taken into account, promoting prevention programs, coping skills, and mental health about the pandemic and what decisions to make in this current situation. © 2022 The Authors.

Automated Attendance Control System for Health Center Staff

The world is still affected by SARS-COV-2 that was spreading little by little and generated many human losses, causing an economic crisis worldwide, which led governments to declare a quarantine to avoid physical contact since medical personnel were doing their best to control the virus, but it was not enough. Given this, a growth in the development of automation technologies was observed, this technology has been applied in the annotation of worker assistance sheets, where previously it was necessary to supervise someone being a non-optimal method and causing loss of time in the process of looking for previous files that by mistake were not registered, there is some physical contact. In view of this problem, in this article an automated attendance control system was made for the staff of the health center and verify their time of entry and exit of each worker to be visualized through a user interface, with this it will be possible to control the labor discipline of each worker since this system will store in the cloud the data that is recorded daily in an orderly manner. replacing the manual system. Through the development of the system, it was observed that the system works effectively since an efficiency of 94.17% was obtained in its operation to control the time of entry and exit of each worker, being an accepted value since the process is conducted quickly and lightly. © 2022 IEEE.

Design of a body temperature measurement system made through an unmanned aerial vehicle

COVID-19 affects anyone without distinguishing ages, presents symptoms such as fever, dry cough, and shortness of breath. All this presents the infected person, some have mild symptoms while others have strong symptoms. This virus began at the end of 2019 in China, being a very contagious viral infection was declared a pandemic by the WHO so that governments take the corresponding measures. Even so, this virus affected the entire health system that, in April 2020, registered more than 80,000 deaths worldwide, where some countries had the highest mortality rate. In view of this problem, in this article the design of a body temperature measurement system made through an unmanned aerial vehicle was made to measure the body temperature of people and observe if they have a fever, with this, it would be avoided that people continue to be infected when they enter an enclosed place. Through the design of the body temperature measurement system, it is observed that its function is precise and its manipulation is friendly, it classifies people according to the measured value of the temperature, if it presents a normal value it will be allowed to enter the place, but its present a high value will be denied entry and will give notice for a previous evaluation, The important thing about this system is that it can be used anywhere where the temperature measurement is intended. © 2022 IEEE.

Design of a face mask detection system to control the entry of people to a medical center

The arrival of COVID-19 completely changed people's lives, at the end of December 2019 a new virus appeared that forced people to maintain social distancing and wear a mask in a mandatory way, because the virus caused by SARS-COV-2 is highly contagious and can be easily transmitted between people being announced as a pandemic by the World Health Organization. In the month of May, the virus infected more than 153 million people saturating the health system worldwide, therefore, it was established as a preventive measure to maintain social distancing in public places and use the mask in a mandatory way to help control COVID-19, as it reduces the amount of saliva emissions and respiratory microdroplets of individuals carrying the virus. In view of this problem, this article designed a face mask detection system to control the entry of people into a medical center, so that the system analyzes several people who want to enter the place and shows if they use the mask correctly through a monitor, requiring to respect this important biosecurity measure, in addition to being able to be implemented anywhere you want to control the entry of people with a mask. By designing the system, it can be said that the system works in the best way and would be helping to prevent several people from continuing to catch COVID-19. © 2022 IEEE.

Blood pressure measurement system visualized through a mobile application

COVID19 proved a devastating threat to human society in terms of health, economy, and lifestyle. It quickly spread around the world and caused many governments to close their borders and declare a general quarantine at the national level sending everyone home, with this they changed the lifestyle of many people because they lost the mobility of moving from one place to another. This has led to people somehow losing physical activity and the fear of moving on public roads. According to the World Health Organization (WHO), physical inactivity is the fourth risk factor for global mortality since it generates 3.2 million deaths annually, this is worrying since people do not perform any physical activity. In view of this problem, in this article a blood pressure measurement system was made visualized through a mobile application, in such a way that it can help to observe if they have a stable or high blood pressure, with this, it will be possible to diagnose if a person can present hypertension and prevent them from suffering from any cardiovascular disease. Through the design of the blood pressure measurement system, it was possible to observe that the operation was done correctly, the sensor makes the corresponding measurements and classifies it according to the measurement made, all this is visualized through a mobile application, showing if the person presents a normal or elevated pressure. © 2022 IEEE.

Automatic vascular detection system for the part of the forearm of patients

Currently the health system continues to fight against the pandemic caused by SARS-CoV2 because this virus has not yet disappeared and there are still outbreaks of infections in several places, this generated in people an indecision of what it can generate later since this virus generated a change in the world. Being a contagious and fast-spreading virus, WHO called on all governments to take appropriate measures to stop the spread of COVID-19 as there were many infected. Given this, there are people who need the care of a doctor because they suffer from a disease and that this implies the extraction of blood for a deep analysis or to place an intravenous injection in the patient's forearm, but in many cases the distribution of the veins can not be visualized and this hinders the work of the doctor. In view of this problem, in this article an automatic vascular detection system was carried out for the part of the forearm of patients and to be able to visualize the subcutaneous vein so that the doctor has access quickly and help the patient in an emergency. Through the development of the system, it was observed that it works in the best way, since in its development a 97.69% efficiency was obtained by showing the binary image where the distribution of the veins is observed taking 8.74 seconds, being an accepted value so that it can be implemented in several medical centers. © 2022 IEEE.

Resilience during the health emergency in residents of an unattended population in north lima

Resilience is a way of acquiring skills that allow to face situations that compromise its health well-being during the coronavirus pandemic. The research objective is to determine the resilience during the coronavirus pandemic in residents of a vulnerable area of North Lima. The results show the resilience of the residents of a vulnerable area of North Lima, where 13 (1%) have a low resilience level, 413 (30.8%) have medium resilience level and 917 (68.2%) high resilience level. It is concluded that strategies should be promoted on how to maintain mental health at home during the COVID-19 pandemic. © 2021 MEDIC SCIENTIFIC. All rights reserved.

Anxiety in pregnant women during the covid – 19 pandemic who go to a hospital in lima

Anxiety is one of the factors that affects the mental health of pregnant women during the coronavirus pandemic, due to the physiological and vital changes in their pregnancy. The objective is to determine anxiety in pregnant women during the pandemic of coronavirus who go to a hospital in Lima. It is a quantitative, non-experimental, descriptive cross-sectional study, with a total population of 660 participants, who answered a survey with sociodemographic data and the state-trait anxiety scale. In the results, we observed that during the coronavirus pandemic, 16 (2.4%) of pregnant women presented low anxiety, 555 (84.1%) presented medium anxiety and 89 (13.5%) presented high anxiety. It is concluded psychological interventions are necessary for pregnant women and thus be able to help them during this stage in a safer and more trouble-free way during the coronavirus pandemic. © 2021 MEDIC SCIENTIFIC. All rights reserved.

Level of Depression in Positive Patients for COVID-19 in the Puente Piedra District of North Lima, 2020

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.