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According to studies of the World Health Organization at least around 1. 35 million deaths and between 20 to 50 million injuries are caused due to car accidents, due to this fact the present research work seeks to mitigate this figure before the problem of car accidents on the roads of Lima, that is why a mobile application was designed whose objective is to detect and report accidents, when performing this action the driver sends his contact information (ID, phone, email, family number) and location in real time to the nearby authorities such as police stations or hospitals and likewise the message comes as a notification to their families. For its development we used the agile methodology Scrum whose structure was very useful to display the information proposed, also design tools such as Balsamiq and Marvel App were used to create the interface. Finally, it is concluded that car accidents is a problem that negatively affects our society, also with the application it was possible to design an interactive application that will be very useful for drivers if it is ever implemented, on the other hand, this research seeks to encourage researchers to use technological means to improve the quality of life of people and thus continue to advance as a socie.

o determine the effect of the COVID-19 pandemic on maternal care in the Hospital of Acobamba - Huancavelica, 2020. Methodology: The research was observational, retrospective, and longitudinal with the population being consisted of 27 and 29 pregnant women, 53 and 60 deliveries, 27 and 29 postpartum women during the second trimester of the year 2019 and 2020, respectively. Results: Analysis with pandemic (2020) and without pandemic (2019), pregnant women attended 86.6% and 114.8%; pregnant women controlled (6APN) 62.1% and 88.9%; with full laboratory set 44.8% and 88.9%. During the pandemic, each pregnant woman received 1.8 visits and 3.9 telephone follow-ups, compared to 0.9 visits and no telephone follow-ups. During the pandemic, delivery care reached 236.7% since deliveries from other jurisdictions and by returning migrants were attended and there were 5% of home deliveries, while during the non-pandemic 86.8% and no home deliveries were attended. The first puerperal check-up reached 162.1%, 137.9% compared to 66.7% and 59.3%; visits to puerperal women reached 117.2% compared to 74.1% non-pandemic. The causes of the main emergencies were abortion (22.2%), hypertensive disease of pregnancy (15.3%), fetal distress (8.3%) and hemorrhage during pregnancy (8.3%). Conclusion: COVID-19 pandemic reduced APN, increased delivery and puerperium care, strengthened follow-up of pregnant and puerperal women, increased emergencies and reduced cases of postpartum hemorrhage. The health team responded to the situation with commitment and responsibility). Keywords: COVID - 19, Maternal care, Women health, Pandemic, Pre-natal.

COVID-19 does not show signs of having disappeared, being a very contagious disease, the WHO recommended limiting the free movement of people, since from its appearance until May 1st, 2021, it caused the death of more than 3.2 million of people around the world. In Peru, it economically affected those people who generated income every day to survive, for this reason some activities were reactivated complying with the biosafety measures that are the use of mandatory mask and social distancing (more than 1 meter). Taking body temperature with an infrared thermometer is an optional measure, generating rejection by specialists, indicating that there is little evidence of its sensitivity and specificity and of its doubtful ability to detect fever. In view of this problem, this article will implement a thermal image processing system to detect possible cases of patients with COVID-19, in such a way that the system performs a more accurate measurement of body temperature, and it can be implemented in any place where such measurement is intended, helping to combat the spread of the virus that currently continues to affect many people. The system has a more accurate measurement of body temperature with an efficiency of 95% at 1 meter between the drone and the person, in such a way that if it presents a body temperature higher than 40°C it could be infected with COVID-19

La vaginosis bacteriana (VB) puede considerarse un problema de salud pública debido a la cantidad de mujeres afectadas por ella. Esto es debido a que es asintomática, en la mayoría de casos. Los problemas asociados a ella corresponden principalmente a la vulnerabilidad a la salud femenina al contraerla. La vaginosis bacteriana es alarmante principalmente durante los primeros tres meses de gestación, pues hace latente un riesgo de ruptura de membranas o abortos espontáneos entre otros. Cabe mencionar que las mujeres sexualmente activas además aumentan sus posibilidades de contraer y transmitir enfermedades de trasmisión sexual (ETS). Uno de los principales problemas asociados a VB, tiene que ver con el diagnostico mismo de la infección. El diagnóstico es altamente variable entre el personal entrenado para esta labor, razón por la cual es importante contar con herramientas que permitan un diagnóstico más rápido y confiable y menos variable referente a VB. Este estudio desarrollo una herramienta computacional para realizar tal diagnóstico, y además implemento un medio de comunicación masiva para hacer acceder remotamente a él. SoftWarmi es un software dedicado al diagnóstico de VB, de manera remota a partir de 10 fotos de la muestra. Este algoritmo se basa en el conteo de los morfotipos en la muestra de manera similar a lo realizado por el score de Nugent, el método utilizado de manera tradicional para el diagnóstico de VB. Se analizaron 59 láminas de hisopados vaginales. Las láminas estaban clasificadas por 30 positivas y 29 negativas a VB. De cada muestra han sido capturados 10 campos, seleccionadas por el Blga. Lorena Rojas, entrenada para tal fin anteriormente. De cada fotografía se han extraído un total de 500 objetos aprox. De cada objeto se han calculado un conjunto de 184 características cuantificables de forma, color, textura e iluminación. Posteriormente se diseñaron modelos estadísticos para el reconocimiento de Lactobacillus, Gardnerellas y Mobiluncus. Para Lactobacillus obtuvimos una sensibilidad de 97.63% y una especificidad de 99.10%. Para el reconocimiento de Gardnerella se alcanzó una sensibilidad de 93.64% y una especificidad de 97.40%. Por ultimo para Mobiluncus alcanzamos una sensibilidad de 96.23% y una especificidad de 95.51%. Luego se realizaron conteos de cada morfotipo de manera secuencial y excluyente, evaluándolas según la incidencia de existencia en la población general. Luego se calculó un modelo estadístico de diagnóstico por fotos, el cual alcanzo una sensibilidad de 100% y una especificidad de 96.15%, en el training set (50 fotos), y el en testing set en un conjunto de 66 fotos una sensibilidad de 94.44% y una especificidad de 100%. Al final se evaluaron 10 fotos por muestra, de 59 muestras estudiadas se alcanzó para este modelo una sensibilidad de 96.67% y una especificidad de 100%, con un porcentaje de agreement con los expertos de la universidad de Washington de 98.31% y un índice Kappa de 0.9661. Esperamos que este sea el inicio de una herramienta para lograr que la VB, sea analizada, diagnosticada y tratada en diferentes poblaciones que no poseen los medios para poder acceder sobre todo en las zonas más alejadas, pobres y remotas del país. Bacterial vaginosis (BV) can be considered a public health problem due to the number of women affected by it. This is because it is asymptomatic, in most cases. The problems associated with it correspond mainly to the vulnerability of women's health to contracting it. Bacterial vaginosis is alarming mainly during the first three months of pregnancy, as it poses a latent risk of rupture of membranes or miscarriages, among others. It is worth mentioning that sexually active women also increase their chances of contracting and transmitting sexually transmitted diseases (STDs). One of the main problems associated with BV is the diagnosis of the infection itself. Diagnosis is highly variable among trained personnel, which is why it is important to have tools that allow a faster, more reliable and less variable diagnosis of BV. This study developed a computational tool to perform such diagnosis, and also implemented a means of mass communication to make it remotely accessible. SoftWarmi is a software dedicated to the diagnosis of BV, remotely from 10 photos of the sample. This algorithm is based on counting morphotypes in the sample in a similar way to Nugent's score, the traditional method used for BV diagnosis. Fifty-nine slides of vaginal swabs were analyzed. The slides were classified as 30 positive and 29 negatives for BV. From each sample, 10 fields were captured and selected by Blga. Lorena Rojas, trained for this purpose previously. A total of approximately 500 objects were extracted from each photograph. A set of 184 quantifiable features of shape, color, texture and illumination were calculated from each object. Subsequently, statistical models were designed for the recognition of Lactobacillus, Gardnerella and Mobiluncus. For Lactobacillus we obtained a sensitivity of 97.63% and a specificity of 99.10%. For the recognition of Gardnerella, we reached a sensitivity of 93.64% and a specificity of 97.40%. Finally, for Mobiluncus we achieved a sensitivity of 96.23% and a specificity of 95.51%. Counts of each morphotype were then carried out sequentially and in an exclusionary manner, evaluating them according to the incidence of occurrence in the general population. Then a statistical model of diagnosis by photos was calculated, which reached a sensitivity of 100% and a specificity of 96.15%, in the training set (50 photos), and in the testing set in a set of 66 photos a sensitivity of 94.44% and a specificity of 100%. In the end, 10 photos per sample were evaluated, and out of 59 samples studied, a sensitivity of 96.67% and a specificity of 100% were achieved for this model, with a percentage of agreement with the experts of the University of Washington of 98.31% and a Kappa index of 0.9661. We hope that this is the beginning of a tool to ensure that BV is analyzed, diagnosed and treated in different populations that do not have the means to access it, especially in the most remote, poor and remote areas of the country. (AU)

In the world and in Peru, Acute Respiratory Infections are the main cause of death, especially in the most vulnerable population, children under 5 years of age and older adults. Pneumonia is the leading cause of death of children in the world. 60.2% of pneumonia cases affect children under 5 years of age. Thus, prevention and timely treatment of lung diseases are crucial to reduce infant mortality in Peru. Among the main problems associated with this high is percentage the lack of medical professionals and resources, especially in remote areas, such as Puno, Huancavelica and Arequipa, which experience temperatures as low as -20°C during the cold season. This study develops an algorithm based on computational neural networks to differentiate between normal and abnormal lung sounds. The initial base of 917 sounds was used, through a process of data augmentation, this base was increased to 8253 sounds in total, and this process was carried out due to the need of a large number of data for the use of computational neural networks. From each signal, features were extracted using three methods: MFCC, Melspectogram and STFT. Three models were generated, the first one to classify normal and abnormal, which obtained a training Accuracy of 1 and a testing accuracy of 0.998. The second one classifies normal sound, pneumonia and other abnormalities and obtained training Accuracy values of 0.9959 and a testing accuracy of 0.9885. Finally, we classified by specific ailment where we obtained a training Accuracy of 0.9967 and a testing accuracy of 0.9909. This research provides interesting findings about the diagnosis and classification of lung sounds automatically using convolutional neural networks, which is the beginning for the development of a platform to assess the risk of pneumonia in the first moment, thus allowing rapid care and referral that seeks to reduce mortality associated mainly with pneumonia. © 2021 We want to thank the Image Processing Research Laboratory. (INTI-Lab) and the Universidad de Ciencias y Humanidades. (UCH) for their support in this research, the National Fund for. Scientific, Technological and Technological Innovation (FONDECYT), according to the research: ?SAMAYCOV: ?Desarrollo de un dispositivo electr?nico port?til a bajo costo para evaluar riesgo de neumon?a basado en sonido pulmonar anormal en pacientes con sospecha de COVID-19 en zonas vulnerables?. CONVENIO 054-2020-FONDECYT?; for the financing of this research and the Electronics Laboratory of the UCH for assigning us their facilities and being able to carry out the respective tests.

Objective: To determine the cortisol level of patients who make use of the Obstetric Psychoprophylaxis (OPP) service in a first-level health center, February - May 2018. Material and methods: Descriptive, prospective, cross-sectional. Results: 68.75% of pregnant women have a stable conjugal relationship, while 25% are single and 6.25% separated, 50% have a higher education degree and 50% have a secondary education degree. Apparently, cortisol does not change according to gestational age, however, the number of OPP sessions influences the level of cortisol, so more assisted sessions means less cortisol. Conclusion: the greater exposure to obstetric psychoprophylaxis, the less levels of cortisol am (morning) in serum are observed. It could be due to psychoprophylaxis has a component that works the mental state; further studies are recommended.

Terrorist attacks affect the confidence and security of citizens; it is a violent form of a political struggle that ends in the destruction of order. In the current decade, along with the growth of social networks, terrorist attacks around the world are still ongoing and have had potential growth in recent years. Consequently, it is necessary to identify where the attacks were committed and where is the possible area for an attack. The objective is to provide assertive solutions to these events. As a solution, this research focuses on one of the branches of artificial intelligence (AI), which is the Automatic Learning, also called Machine Learning. The idea is to use AI techniques to visualize and predict possible terrorist attacks using classification models, the decision trees, and the Random Forest. The input would be a database that has a systematic record of worldwide terrorist attacks from 1970 to the last recorded year, which is 2018. As a final result, it is necessary to know the number of terrorist attacks in the world, the most frequent types of attacks and the number of seizures caused by region; furthermore, to be able to predict what kind of terrorist attack will occur and in which areas of the world. Finally, this research aims to help the scientific community use artificial intelligence to provide various types of solutions related to global events.

The study is based on determining the difference in hemoglobin in the third trimester of pregnancy and the immediate puerperium of childbirths attended at the Hospital de Apoyo San Francisco, during 2018, located in the VRAEM area, a vulnerable area due to the level of poverty and exposure of the area. The type of the research was observational, retrospective longitudinal section in related samples, the study has the descriptive level, it has a sample of 107 childbirths, 55 vaginal and 52 cesarean, the documentary review technique was used, the data was analyzed with the statistical program "R" for data analysis, the non-parametric test Wilcoxon was used. Results: a difference of 1.52 g/dl has been found between hemoglobin of the third trimester of pregnancy 11.89 g/dl and immediate puerperium 10.37 g/dl; when analyzing the difference in vaginal childbirths, hemoglobin in the third trimester was found at 11.90 g/dl and the immediate puerperium was 10.65 g/dl, and in cesarean childbirths was 11.94 g/dl in the third trimester of pregnancy and 10.14 g/dl in the immediate puerperium, finding differences of 1.52 g/dl in vaginal childbirths and 1.8 g/dl in cesarean. Conclusion, there is a significant difference in hemoglobin in the third trimester and postpartum at a p-value of 0.05, being higher in cesarean childbirths; the average postpartum hemoglobin denotes anemia despite the fact that the blood losses were within normal parameters, which indicates that it must achieve that the pregnant women reach the third trimester of pregnancy with at least 13 g/dl of hemoglobin.

The people who require greater protection and safety are children, mainly when they are in an educational center, where teachers are responsible for their care, therefore, it is important to have prepared teachers to face emergency situations, since, the sense of insecurity is greater in national schools due to the shortage of prepared teachers to handle emergencies situations in Peru; there are studies which mention that 98.2% of accidents in educational centers are trauma and falls, also 1 of every 4 students suffers a fracture, therefore, in this study, spatial data of kindergarten and primary education is presented from Peru, relating the number of students per teacher for the year 2019. The regions whose student-teacher relationship is risky for the welfare of the students are presented and analyzed by georeference, this data is public and is provided by the Ministerio de Educacion de Peru (MINEDU), and using tools from the Geographic Information System (GIS), and it was possible to generate maps at the district level. Observing at the maps, it was possible to identify that the areas with the greatest risk are in the natural region of the jungle. Base on the spatial distribution of vulnerable points and outliers of the student-teacher relationship at the levels of kindergarten and primary education, it is recommended that governmental and non-governmental institutions in Peru allocate resources urgently to reduce student vulnerability, reducing the relationship between the number of students and teachers, in order to get better the response to any accident or natural disaster.

Acute Respiratory Infections are caused by viruses, bacteria and fungi. The most serious is pneumonia, which is the leading cause of death in children and older adults around the world. Approximately 60.2% of cases of pneumonia in Peru from 2008–2016 are in children under 5 years old. For this reason, the prevention of pulmonary diseases is fundamental in the goal of reducing infant mortality in Peru. One of the main associated problems is the lack of medical personnel and equipment in remote areas of poor resources that is exposed to low temperatures, such as in Puno, Arequipa or Huancavelica. This study develops an algorithm to differentiate between normal and abnormal lung sounds, for this purpose a sample of 11 sounds was used. From each signal, 14 characteristics of the spectral signal that is determined by the lung sound were extracted. The developed model obtained an F value of 0.038, which shows that it is statistically significant. The R-square is 0.9744 which indicates that the model explains 97.44% of the variance of the dependent variable which is the abnormality in lung sounds based on the independent variables ASC, ZCR, normalized Slope, Kurtosis, centroid and spectral energy of the analyzed audio signal. This study is a proof of concept that provides interesting findings about the correct classification of lung sounds, in order to develop a platform to assess the risk of pneumonia at first for the start of a treatment at the correct time with the aim to reduce the mortality of pneumonia especially in children. Our group continues working for preventive health, reducing the gaps in health for favors to the most vulnerable population.

This exploratory observational study analyzes the variation of the total amount of vertical electrons (vTEC) in the ionosphere, 17 days before telluric events with grades greater than M7.0 between 2015 and 2016. Thirty telluric events have been analyzed with these characteristics. The data was obtained from 55 satellites and 300 GPS receivers that were downloaded from the Center for Orbit Determination in Europe (CODE). The variations are considered significant only if it is outside the "normal" ranges considered after the statistical analysis performed. The data was downloaded by a program developed in our laboratory. The downloaded data was processed and maps of variations of vTEC generated with a periodicity of 2 hours. The analysis area was considered to be a circular one with a radius of 1000km centered on the epicenter of each earthquake. Variation of vTEC was found during 2015-2016 in 100% of the earthquakes in the range from day 1 to day 17 days before the event, over the circular area of 1000 km radius centered on the epicenter of the earthquake. Of these in 96.55% there is positive variations, and a negative ones exist in 68.97% of the events. If we observe in the range from day 3 to 17 before the event, a variation was recorded in 100% of the cases, and from day 8 to day 17 before the event in 93.10% of the cases, it is important to emphasize that while the evidence in a period before the event is more likely to find evidence to develop early warning tool for earthquake prevention. This study explores the variation of vTEC as precursor events to each earthquake during 2015-2016, it is a preliminary analysis that shows us the feasibility of analyzing this information as a preamble for an exhaustive association study later. The final objective is to calculate the risk of telluric events which would benefit the population worldwide.

Hearing impairment is the partial or total loss of hearing. There are approximately 34 million hearing impaired children in the world. The equipment used as a means of communication to improve interaction with society is very expensive, so in this study was built an electronic device with the ability to recognize some words configured as an emergency message. This equipment will be used as a basic means of communication for hearing impaired children at a very low price. The equipment consists of a transmitter and a receiver, which communicate over Wi-Fi 802.11 at distances between 0m and 95m using low-power electronic devices and recent technology such as WeMos D1 mini Lite cards. This device was tested on approximately 20 people caring for hearing impaired children, obtaining a measure of approval of approximately 74%. This is the first step in research that we plan to continue to reduce health gaps and improve communication for children with disabilities. Our group works for preventive health, reducing health gaps in the most vulnerable population.

This document presents a preliminary study about a pilot deployment of a web service. The service is used as means to raise awareness in university campuses prior to blood donation campaigns and to measure its effect into posterior donor enrollment. The measure the level of awareness a score range from zero to four inclusive was set. It was quantified before and after giving the information. This allowed evaluating the score change influenced by the received information. Another important metric was the contrast between the community participation between the blood donation campaigns at 12th June 2018 and June 2017. During these campaigns 41 and 25 blood units were collected following the new approach and the traditional way respectively. This variation represents an increase of 64% with respect to the campaign carried out in 2017 by INSN-SB, where the only variation was the use of the application YAWARweb. Moreover, in 2018 there were 36 people interested to donate. Nonetheless, it was not possible because of insufficient hemoglobin, narrow veins, and other causes. This research has as goal to evaluate the usage of our survey through a web service as a tool to raise awareness in university campuses prior to blood donation campaigns. This survey will provide information to the participants about the benefits of blood donation. Thus, creating an incentive to participate in the campaigns and getting the results as an increment of the number of participants. Our group keeps working on preventive health and changing the picture of blood donation leveraged by technology development. The document starts with a general summary of the situation of blood donation in Peru, and then it analyzes the population where the tool is applied. It then proceeds to the methodology of implementation of YAWARweb. Finally, it presents the results of the use of the web application in the community as a method of raising awareness.

Chagas disease is caused by the parasite Trypanosoma Cruzi and transmitted by the Vinchuca. Bolivia is the country with the highest prevalence in the South American region; for example, in 2015, there was a prevalence of 33.4%. This disease causes severe intestinal and cardiac problems in the long term, 30% of the cases register cardiac symptoms, and 10% have alterations in the esophagus or colon. This research aims to analyze the relationship between environmental factors and Chagas outbreaks in an area of Bolivia to identify the environmental conditions in which the disease is transmitted, using epidemiological, meteorological data and also environmental indexes extracted from Landsat 8 satellite images. Through a Principal Components Analysis (PCA) of the environmental indexes extracted from the satellite images and the meteorological information, has been found that the environmental conditions that have a correlation with the occurrence of cases are: temperature, relative humidity, visibility, Normalized Difference Soil Index (NDSI) and Modified Normalized Difference Water Index (MNDWI).

This exploratory observational study analyzes the variation of the amount of vertical electrons (vTEC) in the ionosphere, days before to the telluric events with a degree greater than M7.0 during the year 2016. Sixteen events were analyzed with these characteristics. The data was obtained from 55 satellites and 300 GPS receivers. This data was downloaded from the Center for Orbit Determination in Europe (CODE). The measurement of the vTEC is done at a height of 450km, and from these values, ionospheric anomalies are calculated. These disturbances are detected assuming that in a time gap window of 8 days the vTEC data has a normal distribution. The vTEC data used for the analysis consists in the variations out of the ranges considered normal. The data is downloaded with software developed by our laboratory and generates maps of the vTEC present in the ionosphere with a periodicity of two hours, delivering data from 17 days before to 4 days after. The analysis area is a circle with 1000 km radius centered at the epicenter of every earthquake. Afterwards, these areas were analyzed and the vTEC, registering the information in this study. It was found that in 100% of the earthquakes there is a significant and positive variation in the vTEC, a negative variation in the 81.25% of the events. It was also found a vTEC variation 6 days before every telluric event in 100% of the cases. This study is a preliminary analysis that shows us the feasibility to analyze this information to obtain evidence of causality, which is the next step of our study, calculating the risk of telluric events in beforehand that could benefit worldwide population.

Melanoma is the type of fast evolving lesion with an increasing incidence. In 2012, more than 230,000 new cases of melanoma were recorded and it caused more than 55,000 deaths [1]. In Peru, the number of people with this disease is increasing, due to the lack of culture in the protection of UV radiation, and the extreme levels to which we are exposed. Peru is the country with the highest UV radiation in the world. This study explores a new way of melanoma prevention and detection through the use of the technology, an application of the web system will be used. Which will provide us with descriptive, quantifiable data.A screaming was performed through the use of ICT, to facilitate the diagnostic support of suspicious lesions of melanoma in the population of the CALLAO Region.There have been previous experiences, but in our case, this research is focused on the use of technology for use of health centers as a support tool for the early diagnosis of melanoma. This is a descriptive study, we used the snowball sampling technique for found a suspect, 128 lesions of participants older than 18 years old were registered.We found 18 lesions suspected of melanoma identified by Dr. Cesar Ramos, a dermatologist at Hospital Cayetano Heredia.We communicate with each participant, indicating if they needed to perform a medical consultation relevant to the physical evaluation of the injury.We hope that this research project can contribute to a better perspective of the research in the field of nursing professionals, interested in a new era of a nurse concerned about population health using technological changes for the society.

This quantitative exploratory study analyzes the variation of the total amount of vertical electrons (vTEC) in the ionosphere, in 25% or more of the circular area of 1000 km of concentric radius to the epicenter of each earthquake major than M7.0 degrees during 2015. 13 telluric events have been analyzed. The vTEC data used for the analysis are the variations of ranges calculated with statistical data analysis, using software developed in INTI-Lab. These data are mapped in each region for each hour, they have been considered 18 days before the event. The minimum unit of temporal analysis is 1 hour. The minimum unit of surface analysis are rectangular areas of latitude 2.5 ° x longitude 5 °. It found that the area of 25% was covered with a vTEC in 100% of the events during 2015. This manifested in 8.77 days approx. The variation was maintained during 34 hours of the 432 hours analyzed, in a 7.87% of the time. It should be mentioned that the vTEC values have been analyzed and it was found that during 2015 the maximum variation of vTEC before an earthquake was 15.98, and the minimum -0.989. This study is a quantitative analysis that shows evidence of the significant presence of the vTEC before an earthquake, the final objective is to analyze the viability of an earthquake risk from vTEC variations in the ionosphere and this analysis is an advance significant in our overall objective.

Conventional methods to diagnose anemia require a blood draw. This generates a great problem in patients due to the fear of contracting a disease through syringes, or sensitivity to this element. The palpebral conjunctiva is an indicator of diseases such as the hordeolum, chalazion, marginal blepharitis, bacterial conjunctivitis, trachoma, and anemia. The palpebral conjunctiva pallor is an indicator of anemia and if we wanted to develop an automatic system, for the non-invasive diagnosis of anemia based on the analysis of photographs of the palpebral conjunctiva, we would need algorithms for the segmentation and analysis of this membrane. In this sense, this research proposes and develops a method for the automatic segmentation of the palpebral conjunctiva using an Android application and image processing techniques. As a result, the success of this segmentation method is 92.2%.

This is a descriptive study aimed to know the knowledge that the university students have about blood donation. A study from the US shows that people with tertiary education have more probability to donate blood [1]. The sampled population consisted in students of two universities studying Science, Engineering and Biology. A total of 114 individuals were approached of which 19 did not wish to proceed or did not complete the questionnaire leaving a total of 95 study participants. The questionnaire was divided into three sections. The first section refers to the potential benefits of blood donation and asks participants about their views on 23 benefit statements. Each statement has been assessed by an average of 43 individuals with approval scores of 75%. Of the study population it was found that 80% did not have prior knowledge of the benefits of blood donation. The second part contained 15 questions designed to identify if participants' are eligible or not for blood donation. It was found that 47%, 35%, and 18% of participants were eligible, not eligible, or undetermined for donating blood respectively. The third section of the questionnaire identifies the participants' willingness to donate blood following exposure to information on its potential benefits. It was found that 52.63%, 38.95%, and 8.42 % of participants had the same, more, or less willingness after exposure to information than before the questionnaire respectively. The results show us that it is possible to influence the target population's will to donate blood after their exposure to acknowledge the blood donation benefits. The statements, about blood donation benefits, with higher score were chosen. The ultimate goal of this study is to raise awareness of blood donation and to increase participation during campaigns on university campuses. The research group keeps working on preventive health and changing the picture of voluntary blood donation.

Remote sensing is the technology that has enabled us to obtain information about the Earth's surface without directly contacting it. For this reason, currently, the Bolivian state has considered a list of interesting applications of remote sensing in the country, including the following: biodiversity and environment monitoring, mining and geology, epidemiology, agriculture, water resources and land use planning. The use of satellite images has become a great tool for epidemiology because with this technological advance we can determine the environment in which transmission occurs, the distribution of the disease and its evolution over time. In that context, one of the important diseases related to public health in Bolivia is Chagas disease, also known as South American Trypanosomiasis. Chagas is caused by a blood-sucking bug or Vinchuca, which causes serious intestinal and heart long term problems and affects 33.4% of the Bolivian population. This disease affects mostly humble people, so the Bolivian state invests millions of dollars to acquire medicine and distribute it for free. Due to the above reasons, the present research aims to analyze some areas of Bolivia using satellite images for developing an epidemiology study. The primary objective is to understand the environment in which the transmission of the disease happens, and the climatic conditions under which occurs, observe the behavior of the blood-sucking bug, identify in which months occur higher outbreaks, in which months the bug leaves its eggs, and under which weather conditions this happens. All this information would be contrasted with information extracted from the satellite images and data from the Ministry of Health, and the Institute of Meteorology in Bolivia. All this data will allow us to have a more integrated understanding of this disease and promote new possibilities to prevent and control it.