University with highest death rate

agosto 29, 2022

01. modelo de población simple, ecuaciones diferenciales

Dahari, N., Latif, M. T., Muda, K., & Hussein, N. (2020). Influence of meteorological variables on suburban atmospheric PM2.5 in the southern region of peninsular Malaysia. Aerosol and Air Quality Research, 20, 14-25.

Franck, U., Leitte, A. M., & Suppan, P. (2014). Exposiciones múltiples a contaminantes atmosféricos e ingresos hospitalarios por enfermedades del sistema circulatorio en Santiago de Chile. The Science of the Total Environment, 468-469, 746-756.

Hernández, E., Martín, F., & Valero, F. (1992). Modelos estadísticos de previsión de las concentraciones diarias de partículas de hierro y plomo en el aire para Madrid, España. Atmospheric Environment. Part B. Urban Atmosphere, 26(1), 107-116.

Hou, Q., An, X., Tao, Y., & Sun, Z. (2016). Evaluación del nivel de exposición de los residentes y de los costes económicos de salud de las PM10 en Pekín de 2008 a 2012. Science of the Total Environment, 563-564, 557-565.

United States DECLARES MAXIMUM ALERT to the People

For Tiziano Breda, Central America analyst for the International Crisis Group (ICG), the increase in murders is one of the pressure measures that gangs have used in the past and continue to use in El Salvador.

It is important to note that none of these Latin American countries are at war. However, the Americas is the continent with the most murders, registering 160,800 of the 436,900 deaths in 2020 in the world due to homicide, which the UNODC defines as killing someone intentionally, not including suicides or deaths occurring in wars.

The United States leads the table among the most developed countries with a rate of 6.28 homicides per 100,000 population recorded by UNODC in 2020. New Zealand (2.63 homicides per 100,000 inhabitants), Canada (1.97), Finland (1.64) or France (1.32) are well below.

Covid-19 Mortality Analysis

The CEDEUS service helps to identify, in a virtual way, the socio-environmental vulnerability that has revealed the impact of the virus in the country, in addition to other effects in areas such as health or housing.

Chile’s vulnerability indicator data come, for the most part, from administrative bases such as the 2017 population census and the CASEN survey. Environmental vulnerability data, specifically air pollution and vegetation come from less traditional sources: global models of fine particulate matter (MP2.5) and Landsat 8 satellite images.

NGOs in the area have used the platform to demand greater support for their communities, using the data as evidence demonstrating social, racial and environmental inequalities. It has also been used as discussion material in municipal town meetings.

Umh2658 2013-14 lec53 tuberculosis epidemiology

Based on these time series, a monthly projection is calculated as a baseline for the pandemic period.    There are several methods to calculate this baseline and in this work the two main ones are taken according to the database available: Monthly Average and Linear Regression for each month.

For the calculation of the baseline by Linear Regression for each month, the aim is to find the line equidistant to all the points of the monthly time series or that minimizes the sum of squared errors of the projection (Németh et al., 2021).    For this purpose, the ordinary least squares technique is used to find the two regressors:

Németh J. D., et al. (2021). An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series. Retrieved from PLOS ONE:

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