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Mortality

Description

Heat related illness is the number one cause of human death in relation to extreme weather events in the United States, resulting in an average of 400 deaths per year over the past few decades. It is also expected that both the duration and intensity of these events will increase. The temperature of the surface is measurable from a number of space borne satellites and can be derived using a number of available algorithms. This type of data can be compared to census collected variables to determine the number of persons at risk for heat related morbidity and mortality within urban environments.

 

Objective

This paper describes a method of determining areas at risk during extreme urban heat events using remote sensing technologies, geographical information systems and artificial neural networks.

Submitted by elamb on
Description

During influenza season, the Boston Public Health Commission uses syndromic surveillance to monitor Emergency Department visits for chief complaints indicative of influenza-like illness (ILI). We created three syndrome definitions for ILI to capture variable presentations of disease, and compared the trends with Boston pneumonia and influenza mortality data, and onset dates for reported cases of influenza.

 

Objective

To evaluate the impact of different syndrome definitions for ILI by comparing weekly trends with other data sources during the 2005-2006 influenza season in Boston.

Submitted by elamb on
Description

Following the heat wave that scorched France in August 2003 a national daily gathering of mortality data was decided in link with the National Institute for Statistics and Economic Studies (Insee). Such gathering is based on Public Records Office equipped with the appropriate software in order to transmit their data to Insee. Then data received daily are transmitted automatically to the National Institut for Health Surveillance. Data are encrypted and transmitted 7 days per week through direct FTP in a pretermined format. For each death certificate, the following information are recorded: zip code, age, sex, date of death.

A pilot test started in June, 2004 with 147 cities for one year. The good evaluation of the system pushed to enlarge it to all eligible cities in France. The enlarged system started on November 1, 2005 and concerned 1,152 Public Records Office which represents around 75% of the daily French mortality.

Reunion Island (population 770,000) is being affected by the most important outbreak of chikungunya disease ever described in the medical literature. Between March 1, 2005 and May 30, 2006, an estimated 255,000 cases have been reported in this French territory located in the Indian Ocean. The vast majority of the cases have been occurring from mid-December, with a peak of 45000 cases week 5, 2006.

The disease is a self-limiting febrile viral disease characterised by arthralgia or arthritis. The symptoms may last for several months but recovery was, until now, considered universal.

 

Objective

This paper describes the on going surveillance of mortality during the largest outbreak of chikungunya ever known. It is based on a new automatic gathering of mortality data and it is also the first opportunity to test this system in real condition.

Submitted by elamb on
Description

Extreme temperatures are consistently shown to have an effect on CVD-related mortality [1, 2]. A large multi-city study of mortality demonstrated a cold-day and hot-day weather effect on CVD-related deaths, with the larger impact occurring on the coldest days [3]. In contrast, the association between weather and CVD-related morbidity is less clear [4, 5]. The purpose of this study is to characterize the effect of temperature on CVD-related emergency department (ED) visits, hospitalizations, and mortality on a large, heterogeneous population. Additionally, we conducted a sensitivity analysis to determine the impact of air pollutants, specifically fine particulates (PM2.5) and ozone (O3), along with temperature, on CVD outcomes.

Objective

To examine the effects of temperature on cardiovascular-related (CVD) morbidity and mortality among New York City (NYC) residents.

Submitted by uysz on
Description

The impact of heat on mortality is well documented but deaths tend to lag extreme heat and mortality data is generally not available for timely surveillance during heat waves. Recently, systems for near-real time surveillance of heat illness have been reported but have not been validated as predictors of heat related mortality. In this study, we examined the associations among weather, indicators of heat-related ambulance calls and emergency department visits and excess natural cause mortality in New York City.

 

Objective

To describe the extent to which heat-illness indicators increase with extreme heat and to evaluate the association among daily weather, heat-related illness and natural cause mortality.

Submitted by hparton on
Description

Infectious diseases are still the cause of a large number of deaths in Ukraine. Analysis of infectious mortality allows the study of the dynamics of diseases that pose the greatest danger. In particular, those that are vaccine-preventable and suggest more effective methods for organizing an epidemic surveillance system.

Objective:

The aim of this work was to determine the impact of vaccination on the dynamics of mortality and the contribution of vaccine preventable infections to the structure of total infectious mortality of the population of Ukraine over the past 50 years to develop a more effective system of surveillance for this group of infections.

Submitted by elamb on
Description

The mortality monitoring system (initiated in 2009 during the influenza A(H1N1) pandemic) is a collaboration between the Centre for Infectious Disease Control (CIb) of National Institute for Public Health and the Environment (RIVM) and Statistics Netherlands. The system monitors nation-wide reported number of deaths (population size 2017: 17 million) from all causes, as cause of death information is not available real-time. Data is received from Statistics Netherlands by weekly emails.

Objective:

Weekly numbers of deaths are monitored to increase the capacity to deal with both expected and unusual (disease) events such as pandemic influenza, other infections and non-infectious incidents. The monitoring information can potentially be used to detect, track and estimate the impact of an outbreak or incident on all-cause mortality.

Submitted by elamb on