Mortality Surveillance Data Research Articles

2015 Excess mortality in Italy: the role of an ageing population, heat waves and factors influencing seasonal mortality

INTRODUCTION: 2015 registered excess deaths throughout Europe. The Italian National Institute of Statistics estimated an increase in mortality of +11.3% (45000 excess deaths) between January-August 2015 compared to 2014 creating great media attention. The study aims to evaluate the excess mortality in considering factors influencing seasonal mortality (extreme weather events, flu epidemics) and population dynamics. METHODS: Daily deaths from the rapid mortality surveillance system and temperature data from the National Heat Plan operational in 32 major Italian cities were used. Standardized mortality rates (deaths per 100,000) were calculated by month and age class for the period 2012-2015 to allow a comparison across years. Annual population data was applied to standardize class-specific mortality rates. RESULTS: In winter (January-March) 2015 mortality rates were significantly higher than previous years only among the very old subjects (85-89, 90+ years). A similar excess was observed in other European countries and was related to the predominant strain of influenza that was particularly virulent. During summer 2015 an increase in heat-related deaths was registered across Europe associated to heat wave events. In Italy, excess deaths among the elderly (65+) increased by 23% during the intense heat wave of July 2015; mortality rates were higher than previous years not only among the very old but also in the younger age classes (55-64 years). Overall, excess deaths in 2015 could also be explained by the lower-than-expected mortality in the two previous years which “inflated” the pool of susceptible elderly subjects. Another factor worth mentioning is the abrupt increase in the elderly in Italy due to post war demographic boom. Conclusions: The use of rapid mortality surveillance data and methods to estimate the impact are important for the planning of public health response measures to both extreme weather events and risk factors influencing seasonal mortality.

Effectiveness of the 10-Valent Pneumococcal Conjugate Vaccine (PCV-10) in Children in Chile: A Nested Case-Control Study Using Nationwide Pneumonia Morbidity and Mortality Surveillance Data.

BackgroundThe ten-valent pneumococcal conjugate vaccine (PCV10) was introduced into the Chilean National Immunization Program (NIP) in January 2011 with a 3+1 schedule (2, 4, 6 and 12 months) without catch-up vaccination. We evaluated the effectiveness of PCV10 on pneumonia morbidity and mortality among infants during the first two years after vaccine introduction.MethodsThis is a population-based nested case-control study using four merged nationwide case-based electronic health data registries: live birth, vaccination, hospitalization and mortality. Children born in 2010 and 2011 were followed from two moths of age for a period of two years. Using four different case definitions of pneumonia hospitalization and/or mortality (all-cause and pneumonia related deaths), all cases and four randomly selected matched controls per case were selected. Controls were matched to cases on analysis time. Vaccination status was then assessed. Vaccine effectiveness (VE) was estimated using conditional logistic regression.ResultsThere were a total of 497,996 children in the 2010 and 2011 Chilean live-birth cohorts. PCV10 VE was 11.2% (95%CI 8.5–13.6) when all pneumonia hospitalizations and deaths were used to define cases. VE increased to 20.7 (95%CI 17.3–23.8) when ICD10 codes used to denote viral pneumonia were excluded from the case definition. VE estimates on pneumonia deaths and all-cause deaths were 71.5 (95%CI 9.0–91.8) and 34.8 (95% CI 23.7–44.4), respectively.ConclusionPCV10 vaccination substantially reduced the number of hospitalizations due to pneumonia and deaths due to pneumonia and to all-causes over this study period. Our findings also reinforce the importance of having quality health information systems for measuring VE.

Invasive Cancer Incidence and Survival--United States, 2012.

Many factors contribute to changes in cancer incidence, including changes in risk exposures or changes in the use of cancer screening tests (1). To monitor changes in cancer incidence and assess progress toward achieving Healthy People 2020 objectives, CDC analyzed data from U.S. Cancer Statistics (USCS) for 2012, the most recent data available. USCS includes high quality incidence data from CDC's National Program of Cancer Registries (NPCR) and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program, survival data from NPCR, and mortality data from the National Vital Statistics System (2). In 2012, a total of 1,529,078 invasive cancers were reported to cancer registries in the United States (excluding Nevada), for an annual incidence rate of 440 cases per 100,000 persons. Cancer incidence rates were higher among males (483) than females (412), highest among blacks (446), and ranged by state, from 371 to 515 per 100,000 persons (355 in Puerto Rico). The proportion of persons with cancer who survived ≥5 years after diagnosis was 66%. The proportion was the same for males and females (66%) but lower among blacks (60%) compared with whites (66%). These cancer incidence, survival, and mortality surveillance data are continually tracked and used by states to effectively plan health care allocation and support services.

Global Mortality Estimates for the 2009 Influenza Pandemic from the GLaMOR Project: A Modeling Study

Assessing the mortality impact of the 2009 influenza A H1N1 virus (H1N1pdm09) is essential for optimizing public health responses to future pandemics. The World Health Organization reported 18,631 laboratory-confirmed pandemic deaths, but the total pandemic mortality burden was substantially higher. We estimated the 2009 pandemic mortality burden through statistical modeling of mortality data from multiple countries. We obtained weekly virology and underlying cause-of-death mortality time series for 2005-2009 for 20 countries covering ∼35% of the world population. We applied a multivariate linear regression model to estimate pandemic respiratory mortality in each collaborating country. We then used these results plus ten country indicators in a multiple imputation model to project the mortality burden in all world countries. Between 123,000 and 203,000 pandemic respiratory deaths were estimated globally for the last 9 mo of 2009. The majority (62%-85%) were attributed to persons under 65 y of age. We observed a striking regional heterogeneity, with almost 20-fold higher mortality in some countries in the Americas than in Europe. The model attributed 148,000-249,000 respiratory deaths to influenza in an average pre-pandemic season, with only 19% in persons <65 y. Limitations include lack of representation of low-income countries among single-country estimates and an inability to study subsequent pandemic waves (2010-2012). We estimate that 2009 global pandemic respiratory mortality was ∼10-fold higher than the World Health Organization's laboratory-confirmed mortality count. Although the pandemic mortality estimate was similar in magnitude to that of seasonal influenza, a marked shift toward mortality among persons <65 y of age occurred, so that many more life-years were lost. The burden varied greatly among countries, corroborating early reports of far greater pandemic severity in the Americas than in Australia, New Zealand, and Europe. A collaborative network to collect and analyze mortality and hospitalization surveillance data is needed to rapidly establish the severity of future pandemics. Please see later in the article for the Editors' Summary.

Assessing the Global Burden of Ischemic Heart Disease: Part 2: Analytic Methods and Estimates of the Global Epidemiology of Ischemic Heart Disease in 2010

Ischemic Heart Disease (IHD) is the leading cause of death worldwide. The Global Burden of Diseases, Injuries and Risk Factors (GBD) 2010 Study estimated IHD mortality and disability burden for 21 world regions for the years 1990 to 2010. Data sources for GBD IHD epidemiology estimates were mortality surveillance, verbal autopsy, and vital registration data (for IHD mortality) and systematic review of IHD epidemiology literature published 1980-2008 (for non-fatal IHD outcomes). An estimation and validation process led to an ensemble model of IHD mortality by country for all 21 world regions, adjusted for country-level covariates. Disease models were developed for the nonfatal sequelae of IHD: myocardial infarction, stable angina pectoris, and ischemic heart failure. Country level covariates including metabolic and nutritional risk factors, education, war, and annual income per capita contributed to the ensemble model for the analysis of IHD death. In the acute myocardial infarction model, inclusion of troponin in the diagnostic criteria of studies published after the year 2000 was associated with a 50% higher incidence. Self-reported diagnosis of angina significantly overestimated stable angina prevalence compared with "definite" angina elicited by the Rose angina questionnaire. For 2010, Eastern Europe and Central Asia had the highest rates of IHD death and the Asia Pacific High-Income, East Asia, Latin American Andean, and sub-Saharan Africa regions had the lowest. Global and regional IHD epidemiology estimates are needed for estimating the worldwide burden of IHD. Using descriptive meta-analysis tools, the GBD 2010 standardized and pooled international data by adjusting for region-level mortality and risk factor data, and study level diagnostic method. Analyses maximized internal consistency, generalizability, and adjustment for known sources of bias. The GBD IHD analysis nonetheless highlights the need for improved IHD epidemiology surveillance in many regions and the need for uniform diagnostic standards.

Implementation and utilisation of community-based mortality surveillance: a case study from Chad.

BackgroundProspective surveillance is a recognised approach for measuring death rates in humanitarian emergencies. However, there is limited evidence on how such surveillance should optimally be implemented and on how data are actually used by agencies. This case study investigates the implementation and utilisation of mortality surveillance data by Médecins Sans Frontières (MSF) in eastern Chad. We aimed to describe and analyse the community-based mortality surveillance system, trends in mortality data and the utilisation of these data to guide MSF’s operational response.MethodsThe case study included 5 MSF sites including 2 refugee camps and 3 camps for internally displaced persons (IDPs). Data were obtained through key informant interviews and systematic review of MSF operational reports from 2004–2008.ResultsMortality data were collected using community health workers (CHWs). Mortality generally decreased progressively. In Farchana and Breidjing refugee camps, crude death rates (CDR) decreased from 0.9 deaths per 10,000 person-days in 2004 to 0.2 in 2008 and from 0.7 to 0.1, respectively. In Gassire, Ade and Kerfi IDP camps, CDR decreased from 0.4 to 0.04, 0.3 to 0.04 and 1.0 to 0.3. Death rates among children under 5 years (U5DR) followed similar trends. CDR and U5DR crossed emergency thresholds in one site, Kerfi, where CDR rapidly rose to 2.1 and U5DR to 7.9 in July 2008 before rapidly decreasing to below emergency levels by September 2008.DiscussionMortality data were used regularly to monitor population health status and on two occasions as a tool for advocacy. Lessons learned included the need for improved population estimates and standardized reporting procedures for improved data quality and dissemination; the importance of a simple and flexible model for data collection; and greater investment in supervising CHWs.ConclusionsThis model of community based mortality surveillance can be adapted and used by humanitarian agencies working in complex settings. Humanitarian organisations should however endeavour to disseminate routinely collected mortality data and improve utilisation of data for operational planning and evaluation. Accurate population estimation continues to be a challenge, limiting the accuracy of mortality estimates.

Attributable deaths due to influenza: a comparative study of seasonal and pandemic influenza

Influenza epidemics lead to an increase in hospitalizations and deaths. Up to now the overall impact of attributable deaths due to seasonal and pandemic influenza viruses in Austria has not been investigated in detail. Therefore we compared the number and age distribution of influenza associated deaths during ten influenza epidemic seasons to those observed during the pandemic influenza A(H1N1)2009 season. A Poisson model, relating age and daily deaths to week of influenza season using national mortality and viral surveillance data adjusted for the confounding effect of co-circulating Respiratory Syncytial Virus was used. We estimated an average of 316 influenza associated deaths per seasonal influenza epidemic (1999/2000-2008/2009) and 264 for the pandemic influenza season 2009/2010 in the area of Vienna, Austria. Comparing the mortality data for seasonal and pandemic influenza viruses in different age groups revealed a statistically significant increase in mortality for pandemic A(H1N1)2009 influenza virus in the age groups below 34 years of age and a significant decrease in mortality in those above 55 years. Our data adjusted for co-circulating RSV confirm the different mortality pattern of seasonal and pandemic influenza A(H1N1)2009 virus in different age groups.

Regional disparities in child mortality within China 1996-2004: epidemiological profile and health care coverage.

China was one of the 68 "countdown" countries prioritized to attain Millennium Development Goals (MDG 4). The aim of this study was to analyze data on child survival and health care coverage of proven cost-effective interventions in China, with a focus on national disparities. National maternal and child mortality surveillance data were used to estimate child mortality. Coverage for proven interventions was analyzed based on data from the National Health Services Survey, National Nutrition and Health Survey, and National Immunization Survey. Consultations and qualitative field observations by experts were used to complement the Survey data. Analysis of the data revealed a significant reduction in the overall under-5 (U5) child mortality rate in China from 1996 to 2007, but also great regional disparities, with the risk of child mortality in rural areas II-IV being two- to sixfold higher than that in urban areas. Rural areas II-IV also accounted for approximately 80% of the mortality burden. More than 60% of child mortality occurred during the neonatal period, with 70% of this occurring during the first week of life. The leading causes of neonatal mortality were asphyxia at birth and premature birth; during the post-neonatal period, these were diarrhea and pneumonia, especially in less developed rural areas. Utilization of health care services in terms of both quantity and quality was positively correlated with the region's development level. A large proportion of children were affected by inadequate feeding, and the lack of safe water and essential sanitary facilities are vital indirect factors contributing to the increase in child mortality. The simulation analysis revealed that increasing access to and the quality of the most effective interventions combined with relatively low costs in the context of a comprehensive approach has the potential to reduce U5 deaths by 34%. China is on track to meet MDG 4; however, great disparities in health care do exist within the country. It is therefore necessary to specifically target rural areas II-IV. Many causes of child mortality can be prevented or averted through the provision of basic health care. However, the leading predisposing factor contributing to child mortality in China is the insufficient coverage and poor quality of maternal and child health care services. Based on these data, we recommend that the government put more effort to ensure the health of the Chinese people, particularly in terms of providing the most vulnerable populations, i.e., children from the poorest areas and households, with access to good quality essential health care services.

Estimating the burden of injuries in Moambique

In 2002, the Global Burden of Disease (GBD) study estimated that sub-Saharan Africa had the highest incidence rate of injuries worldwide. Using our established methodology we triangulate a national snapshot...

Preliminary Estimates of Mortality and Years of Life Lost Associated with the 2009 A/H1N1 Pandemic in the US and Comparison with Past Influenza Seasons

The on-going debate about the health burden of the 2009 influenza pandemic and discussions about the usefulness of vaccine recommendations has been hampered by an absence of directly comparable measures of mortality impact. Here we set out to generate an "apples-to-apples" metric to compare pandemic and epidemic mortality. We estimated the mortality burden of the pandemic in the US using a methodology similar to that used to generate excess mortality burden for inter-pandemic influenza seasons. We also took into account the particularly young age distribution of deaths in the 2009 H1N1 pandemic, using the metric "Years of Life Lost" instead of numbers of deaths. Estimates are based on the timely pneumonia and influenza mortality surveillance data from 122 US cities, and the age distribution of laboratory-confirmed pandemic deaths, which has a mean of 37 years. We estimated that between 7,500 and 44,100 deaths are attributable to the A/H1N1 pandemic virus in the US during May-December 2009, and that between 334,000 and 1,973,000 years of life were lost. The range of years of life lost estimates includes in its lower part the impact of a typical influenza epidemic dominated by the more virulent A/H3N2 subtype, and the impact of the 1968 pandemic in its upper bound. We conclude that the 2009 A/H1N1 pandemic virus had a substantial health burden in the US over the first few months of circulation in terms of years of life lost, justifying the efforts to protect the population with vaccination programs. Analysis of historic records from three other pandemics over the last century suggests that the emerging pandemic virus will continue to circulate and cause excess mortality in unusually young populations for the next few years. Continuing surveillance for indicators of increased mortality is of key importance, as pandemics do not always cause the majority of associated deaths in the first season of circulation.

Estimating the Lifetime Risk of a Diagnosis of the HIV Infection in 33 States, 2004-2005

We estimated lifetime risk and age-conditional risk of being diagnosed with HIV in 33 states with name-based HIV reporting. We used vital statistics data on general and HIV-specific mortality, census data, and HIV surveillance data to calculate cross-sectional, period-specific (2004-2005), and age-specific probabilities of an HIV diagnosis. The probabilities were applied to a hypothetical cohort of 10 million live births, and estimates were derived for the lifetime risk, from birth, of being diagnosed with HIV. The estimated lifetime risk of being diagnosed with HIV was 1.87% for males (95% confidence limit: 1.86 to 1.89) or 1 in 53 males and 0.71% for females (95% confidence limit: 0.70-0.72) or 1 in 141 females. Blacks and Hispanics experienced higher estimated lifetime risk of HIV than whites: 6.23% or 1 in 16 for blacks, 2.88% or 1 in 35 for Hispanics, 0.96% or 1 in 104 for white males; 3.29% or 1 in 30 for blacks, 0.88% or 1 in 114 for Hispanics, and 0.17% or 1 in 588 for white females. The highest risk of HIV diagnosis was observed among people in their 30s. These estimates may help to communicate the risk of HIV infection to affected communities, increase public awareness, and promote early detection and prevention efforts for HIV.

Internet Death Notices as a Novel Source of Mortality Surveillance Data

Concerns about bioterrorism and influenza have focused attention on identifying novel data sources to enhance public health surveillance. The authors evaluated free Pittsburgh Post-Gazette Internet death notices for Allegheny County, Pennsylvania, as a potentially timely source of mortality data. Data abstracted from Internet death notices for 1998-2001 were compared with mortality records from the Pennsylvania Department of Health. Approximately 75% (44,294/60,281) of state records had death notices, and 91% (44,294/48,651) of death notices corresponded to a state record. There was a 2-day median lag from the date of death to online death notice publication. The date of death, gender, age, and name data were nearly 90% accurate and 60-100% complete. Increasing education and age were independently associated with increased Pittsburgh Post-Gazette reporting. Being non-White, female, or a nursing home resident were independently associated with decreased reporting. The Pittsburgh Post-Gazette Internet death notices provided accurate, timely mortality data for nearly three fourths of all Allegheny County deaths.

Looking Back on 2007

Looking Back on 2007

Predicting Pneumonia and Influenza Mortality from Morbidity Data

BackgroundFew European countries conduct reactive surveillance of influenza mortality, whereas most monitor morbidity.Methodology/Principal FindingsWe developed a simple model based on Poisson seasonal regression to predict excess cases of pneumonia and influenza mortality during influenza epidemics, based on influenza morbidity data and the dominant types/subtypes of circulating viruses. Epidemics were classified in three levels of mortality burden (“high”, “moderate” and “low”). The model was fitted on 14 influenza seasons and was validated on six subsequent influenza seasons. Five out of the six seasons in the validation set were correctly classified. The average absolute difference between observed and predicted mortality was 2.8 per 100,000 (18% of the average excess mortality) and Spearman's rank correlation coefficient was 0.89 (P = 0.05).Conclusions/SignificanceThe method described here can be used to estimate the influenza mortality burden in countries where specific pneumonia and influenza mortality surveillance data are not available.

Seasonality of Influenza in Brazil: A Traveling Wave from the Amazon to the Subtropics

Influenza circulation and mortality impact in tropical areas have not been well characterized. The authors studied the seasonality of influenza throughout Brazil, a geographically diverse country, by modeling influenza-related mortality and laboratory surveillance data. Monthly time series of pneumonia and influenza mortality were obtained from 1979 to 2001 for each of the 27 Brazilian states. Detrended time series were analyzed by Fourier decomposition to describe the amplitude and timing of annual and semiannual epidemic cycles, and the resulting seasonal parameters were compared across latitudes, ranging from the equator (+5 degrees N) to the subtropics (-35 degrees S). Seasonality in mortality was most pronounced in southern states (winter epidemics, June-July), gradually attenuated toward central states (15 degrees S) (p < 0.001), and remained low near the equator. A seasonal southward traveling wave of influenza was identified across Brazil, originating from equatorial and low-population regions in March-April and moving toward temperate and highly populous regions over a 3-month period. Laboratory surveillance data from recent years provided independent confirmation that mortality peaks coincided with influenza virus activity. The direction of the traveling wave suggests that environmental forces (temperature, humidity) play a more important role than population factors (density, travel) in driving the timing of influenza epidemics across Brazil.

Assessment of Accuracy of Suicide Mortality Surveillance Data in South Africa

Although it is not a legal requirement in South Africa, medical practitioners determine the manner of injury death for a surveillance system that is currently the only source of epidemiological data on suicide. This study assessed the accuracy of suicide data as recorded in the system using the docket produced from standard medico-legal investigation procedures as the gold standard. It was conducted in one of three cities where the surveillance system had full coverage for the year 2000. In the medico-legal system, one-third of cases could not be tracked, had not been finalized, or had unclear outcomes. For the remaining cases, the sensitivity, specificity, and positive and negative predictive values were generally high, varying somewhat across sex and race groups. Poisoning, jumping, and railway suicides were more likely than other methods to be misclassified, and were more common among females and Whites. The study provides encouraging results regarding the use of medical practitioner expertise for the accurate determination of suicide deaths. However, suicides may still be underestimated in this process given the challenge of tracing disguised suicides and without the careful examination of potential misclassifications of true suicides as unintentional deaths.

Mortality associated with influenza and respiratory syncytial virus in the United States.

Influenza and respiratory syncytial virus (RSV) cause substantial morbidity and mortality. Statistical methods used to estimate deaths in the United States attributable to influenza have not accounted for RSV circulation. To develop a statistical model using national mortality and viral surveillance data to estimate annual influenza- and RSV-associated deaths in the United States, by age group, virus, and influenza type and subtype. Age-specific Poisson regression models using national viral surveillance data for the 1976-1977 through 1998-1999 seasons were used to estimate influenza-associated deaths. Influenza- and RSV-associated deaths were simultaneously estimated for the 1990-1991 through 1998-1999 seasons. Attributable deaths for 3 categories: underlying pneumonia and influenza, underlying respiratory and circulatory, and all causes. Annual estimates of influenza-associated deaths increased significantly between the 1976-1977 and 1998-1999 seasons for all 3 death categories (P<.001 for each category). For the 1990-1991 through 1998-1999 seasons, the greatest mean numbers of deaths were associated with influenza A(H3N2) viruses, followed by RSV, influenza B, and influenza A(H1N1). Influenza viruses and RSV, respectively, were associated with annual means (SD) of 8097 (3084) and 2707 (196) underlying pneumonia and influenza deaths, 36 155 (11 055) and 11 321 (668) underlying respiratory and circulatory deaths, and 51 203 (15 081) and 17 358 (1086) all-cause deaths. For underlying respiratory and circulatory deaths, 90% of influenza- and 78% of RSV-associated deaths occurred among persons aged 65 years or older. Influenza was associated with more deaths than RSV in all age groups except for children younger than 1 year. On average, influenza was associated with 3 times as many deaths as RSV. Mortality associated with both influenza and RSV circulation disproportionately affects elderly persons. Influenza deaths have increased substantially in the last 2 decades, in part because of aging of the population, underscoring the need for better prevention measures, including more effective vaccines and vaccination programs for elderly persons.

Data linkage methods used in maternally-linked birth and infant death surveillance data sets from the United States (Georgia, Missouri, Utah and Washington State), Israel, Norway, Scotland and Western Australia.

In this paper we describe the methods used to link birth and infant mortality and morbidity surveillance data sets into sibships using deterministic or multistage probabilistic linkage methods. We describe nine linked data sets: four in the United States (Georgia, Missouri, Utah and Washington State), and four elsewhere (Scotland, Norway, Israel and Western Australia). Norway and Israel use deterministic methods to link births and deaths into sibships. The deterministic linkage is usually dependent on the availability of national identification numbers. In both countries they assign these numbers at birth. Deterministic linkage is usually highly successful, and the major problem is the validation of linkages. In the United States, Western Australia and UK linkage is multistage and probabilistic. This approach is usually dependent on the calculation linkage weights from sociodemographic variables. The success rates of probabilistic methods are above 80%. Maternally-linked perinatal data open new vistas for epidemiological research. Recurrence of poor perinatal outcomes is more appropriately studied using longitudinally-linked data sets. In addition, the emergence of risk factors and the recurrence of risk factors can be studied.

Abortion mortality, United States, 1972 through 1987

The aim of our study was to describe risk factors for legal abortion mortality and the characteristics of women who died of legal abortion complications for the period 1972 through 1987. We reviewed abortion mortality surveillance data collected by the Division of Reproductive Health, Centers for Disease Control and Prevention, and calculated rates by various demographic and reproductive health variables using the Center for Disease Control and Prevention's abortion surveillance data as denominators. Rates are reported as legal abortion deaths per 100,000 abortions. Between 1972 and 1987, 240 women died as a result of legal induced abortions. The case-fatality rate decreased 90% over time, from 4.1 deaths per 100,000 abortions in 1972 to 0.4 in 1987. Women > or = 40 years old had three times the risk of death as teenagers (relative risk 3.0, 95% confidence interval 1.5 to 6.0), and black women and those of other minority races had 2.5 times the risk of white women (relative risk 2.5, 95% confidence interval 1.9 to 3.2). Abortions at > or = 16 weeks were associated with a risk of death almost 15 times the risk of death from procedures at < or = 12 weeks' gestation. Women undergoing currettage procedures for abortion had a significantly lower risk of death than women undergoing other procedures. Whereas before 1977 infection and hemorrhage were the leading causes of death, during 1977 through 1982 anesthesia complications emerged as one of the leading causes of death and since 1983 have become the most frequent cause. Although legal induced abortion-related deaths are rare events, our findings suggest that more rigorous efforts are needed to increase the safety of anesthetic methods and anesthetic agents used for abortions and that efforts are still necessary to monitor serious complications of abortion aimed at further reducing risks of death associated with the procedure.

Job tasks, potential exposures, and health risks of laborers employed in the construction industry

Construction laborers have some of the highest death rates of any occupation in the United States. There has been very little systematic research focused exclusively on "laborers" as opposed to other workers in the construction industry. We reviewed the English language literature and various data bases describing the occupational tasks, exposures, and work-related health risks of construction laborers. The sources of information included 1) occupational mortality surveillance data collected by the states of California and Washington and the National Institute for Occupational Safety and Health (NIOSH); 2) National Occupational Exposure Survey; 3) national fatality data; 4) cancer registry data; and 5) case reports of specific causes of morbidity. While the literature reported that construction laborers have increased risk for mesothelioma, on-the-job trauma, acute lead poisoning, musculoskeletal injury, and dermatitis, the work relatedness of excess risks for all-cause mortality, cirrhosis, cerebrovascular disease, chronic obstructive pulmonary disease, ischemic heart disease, and leukemia is less clear. Furthermore, while laborers are known to be potentially exposed to asbestos, noise, and lead, and the NIOSH Job Exposure Matrix describes other potential hazardous exposures, little research has characterized other possible exposures and no research has been found that describes the exposures associated with specific job tasks. More advanced study designs are needed that include a better understanding of the job tasks and exposures to construction laborers, in order to evaluate specific exposure-disease relationships and to develop intervention programs aimed at reducing the rate of work-related diseases.