Phindr3D is provided as Matlab code and as a stand-alone program (https//github.com/DWALab/Phindr3D). International migration is a social determinant of health. The past decade has seen a large exodus of Venezuelans within Latin America, including Chile. In the past months, the world has been facing the SARS-CoV-2 coronavirus pandemic and its respiratory disease COVID-19. To explore what factors are associated with feeling prepared to face the COVID-19 pandemic among the Venezuelan population residing in Chile. Cross-sectional quantitative study with an opinion poll design. An online self-reported survey in Spanish and Creole was designed and piloted with experts and international migrants. It was disseminated to various international migrant groups through networks of migrant and pro-migrant organizations and the Chilean public health care network across the national territory. An effective sample size for analysis of 1690 participants was reached, of which 1008 (60%) were from Venezuela and included in this analysis. Feeling prepared to face the COVID-19 pandemic (yes/no) among Venezuelan migrants wasal health symptoms are important factors associated with feeling prepared to face COVID-19 in Venezuelan migrants in Chile, suggesting that increased attention towards the physical and mental health of Venezuelan migrants in Chile and the region is needed.COVID-19 to date has caused hundreds of thousands of deaths in the world, becoming one of the worst pandemics in history. It all started in the People's Republic of China and quickly spread to the rest of the world. In this article, we seek to characterize the epidemiological situation of COVID-19 in Cuba during the first 80 days. For this article, we used observation and both quantitative and qualitative methods to collect data. We relied on statistical methodologies to validate the research. The study covered the days between March 11 and May 29, 2020. We analyzed the daily reports published by the Cuban Ministry of Public Health, this ministry's official website, and Cubadebate. https://www.selleckchem.com/products/bms309403.html Until May 29, the fifteen provinces of our country and the special municipality of Isla de la Juventud had confirmed positive cases, while the epicenter of the epidemic was the province of Havana. The coronavirus pandemic is a considerable challenge for the whole of Cuban society. A free health system, an inclusive social regime, and extensive experience in fine-tuning policies were some of Cuba's main strengths in facing the negative impact of the COVID-19 pandemic. Coronavirus disease 2019, or COVID-19, has become a global pandemic. Given that the highest viral load of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is found in the airway, otolaryngologists are at high risk of infection. As a result, multiple recommendations have emerged regarding protective measures for surgical teams, including suspending non-urgent procedures and surgeries. To evaluate the impact of the COVID-19 pandemic on otolaryngology residency training programs nationwide. A cross-sectional survey-based study was completed in April 2020. The participants were recruited through an online survey, sent by email to all Chilean otolaryngology residents. Demographics, clinical activities, on-call shifts, COVID-19 infection status, exposure to COVID-19 patients, deployment to other specialties, diagnostic/therapeutic procedures, and surgeries performed were analyzed. Self-reported surgical data logs from previous years were used to compare results. Forty-seven residents completed temic curricula should be considered to decrease the negative impact of this pandemic on residency training. Coronavirus 2019 (SARS-CoV-2) infection in children occurred in Peru as of March 2020, leading to pediatric patients' hospitalization in areas adapted for this purpose at the Edgardo Rebagliati Martins National Hospital. In the beginning, the demand for hospitalization was low, but it increased gradually. Consistent with international reports, the majority of patients presented mild or moderate symptoms. Nonetheless, there were also severe cases, even fatal ones. To describe the characteristics and clinical outcome of pediatric patients with COVID-19 hospitalized in a referral hospital in Lima, Peru, between March and August 2020. A descriptive and inferential cross-sectional study was carried out. The population includes all hospitalized patients in the Department of Pediatrics, with clinical and surgical diagnoses associated with COVID-19. We included 100 patients, with an average age of 83.4 ± 54 months, with a predominance of male patients (55%). Hospitalized patients were grouped into five categotion, diagnosis, and complications, which were predominantly respiratory. We also had oncological patients with COVID-19. We conclude that the vulnerability in the pediatric population is the one that has preexisting conditions. We divided our patients according to presentation, diagnosis, and complications, which were predominantly respiratory. We also had oncological patients with COVID-19. The purpose of this article is to describe and develop the predictive value of three models during the COVID-19 epidemic in Chile, providing knowledge for decision-making in health. We developed three models during the epidemic a discrete model to predict the maximum burden on the health system in a short time framea basic SEIR (susceptible-exposed-infected-removed) model with discrete equations; a stochastic SEIR model with the Monte Carlo method; and a Gompertz-type model for metropolitan city of Santiago. The maximum potential burden model has been useful throughout the monitoring of the epidemic, providing an upper bound for the number of cases, intensive care unit occupancy, and deaths. Deterministic and stochastic SEIR models were very useful in predicting the rise of cases and the peak and onset of case decline; however, they lost utility in the current situation due to the asynchronous recruitment of cases in the regions and the persistence of a strong endemic. The Gompertz model had a better fit in the decline since it best captures the epidemic curves asymmetry in Santiago. The models have shown great utility in monitoring the epidemic in Chile, with different objectives in different epidemic stages. They have complemented empirical indicators such as reported cases, fatality, deaths, and others, making it possible to predict situations of interest and visualization of the short and long-term local behavior of this pandemic. The models have shown great utility in monitoring the epidemic in Chile, with different objectives in different epidemic stages. They have complemented empirical indicators such as reported cases, fatality, deaths, and others, making it possible to predict situations of interest and visualization of the short and long-term local behavior of this pandemic.