Background: The COVID-19 pandemic is not only having a negative impact on individuals’ physical health, but also on their mental health. Particularly, people living in disadvantaged communities in the developing world have been hit the hardest by the pandemic. They live precariously and are more vulnerable to mental health issues. Objective: In this study, we have evaluated COVID-19-related anxiety and fear and the predictors associated with them among shantytown dwellers in the Peruvian capital. Methods: This is a cross-sectional study in which 816 shantytown dwellers participated. Anxiety and fear of the virus were assessed using the Corona Anxiety Scale (CAS) and the Fear of COVID-19 Scale. Also, sociodemographic data were collected. Results: Stable and occasional workers were more likely to show the anxiety about the virus, whereas older adults presented higher levels of fear of CO...

Sugarcane diseases in Peru occur due to the agricultural community's lack of understanding of these, which means a slow response to the application of methods of control and eradication of these diseases; thus, causing economic losses and underproduction. Due to the aforementioned, a web application for sugarcane diseases recognition is proposed. The five types of sugarcane diseases that will be recognized using this system are: Pineapple Sett Rot, Ring Spot, Mosaic, Brown Rust and Leaf Scorch. This system was developed using GoogLeNet, which is a 22 layers convolutional neural network (CNN), and also the Matlab software and its App Designer extensions (for the web application creation); additionally, Matlab Web App Server was used to host the application on the web. The pre-trained neural network developed in Matlab based on the GoogLeNet architecture allowed the creation and configurat...

High concentrations of CO2 levels are significantly present in closed environments that do not have proper ventilation. Such high concentrations generate negative health consequences such as dizziness, headaches and various respiratory problems. For this reason, the design and implementation of a low-cost CO2 monitoring and control prototype is proposed to optimize ventilation levels in closed spaces. The parameters that the proposed device measures are concentration of carbon dioxide, humidity and temperature. A digital PID controller was implemented, with the use of C++ programming language and an exhaust fan to stabilize carbon dioxide levels within a closed space. The aforementioned parameters can be viewed in two ways: The first way is locally through a LCD screen and LED indicators, and the second one, remotely using the free Arduino IoT Cloud platform. The closed environment was e...

The present work has the purpose of determining and implementing the optimal design to convert a conventional bicycle into an electric bicycle (e-bike) for public transport in order to help people to move around urban areas. The proposed e-bike is also affordable and meets the required standards and regulations. The design of the e-bike was carried out based on the mathematical model of a regular bicycle with the parameters for urban transport for its conversion into an electric bicycle. From this, the selection of components, mechanical upgrades, hardware and firmware designs was carried out. Finally, a data acquisition method for the tests was conducted. The results of the design parameters, the maximum motor assistance speed, the inclination control and the results against different slopes were obtained from these tests. Our results showed that, based on the incorporated control syste...

In recent decades, it has been shown that epidemiological surveillance is one of the most valuable tool that public health has, since it allows us to have an overview of the population general health, thus allowing to anticipate outbreaks of epidemics by helping in timely interventions. Currently there is an increase in cases of dengue disease in several regions of Peru. Therefore, to control this outbreak and to help population centers and human settlements that are far from the city this work puts forward a drone system with an object recognition algorithm. Drones are very efficient in terms of surveillance, allowing easy access to places that are difficult for humans. In this way, drones can carry out the field work that is required in epidemiological surveillance, carrying out photography or video work in real time, and thus identifying infectious foci of diverse diseases. In this wo...