scholarly journals An open-sourced, web-based application to analyze weekly excess mortality based on the Short-term Mortality Fluctuations data series

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246663 ◽  
Author(s):  
László Németh ◽  
Dmitri A. Jdanov ◽  
Vladimir M. Shkolnikov

The COVID-19 pandemic stimulated the interest of scientists, decision makers and the general public in short-term mortality fluctuations caused by epidemics and other natural or man-made disasters. To address this interest and provide a basis for further research, in May 2020, the Short-term Mortality Fluctuations data series was launched as a new section of the Human Mortality Database. At present, this unique data resource provides weekly mortality death counts and rates by age and sex for 38 countries and regions. The main objective of this paper is to detail the web-based application for visualizing and analyzing the excess mortality based on the Short-term Mortality Fluctuation data series. The application yields a visual representation of the database that enhances the understanding of the underlying data. Besides, it enables the users to explore data on weekly mortality and excess mortality across years and countries. The contribution of this paper is twofold. First, to describe a visualization tool that aims to facilitate research on short-term mortality fluctuations. Second, to provide a comprehensive open-source software solution for demographic data to encourage data holders to promote their datasets in a visual framework.

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dmitri A. Jdanov ◽  
Ainhoa Alustiza Galarza ◽  
Vladimir M. Shkolnikov ◽  
Domantas Jasilionis ◽  
László Németh ◽  
...  

AbstractThe COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface.


2020 ◽  
Author(s):  
Yisi Liu ◽  
Elena Austin ◽  
Jianbang Xiang ◽  
Tim Gould ◽  
Tim Larson ◽  
...  

AbstractMajor wildfires that started in the summer of 2020 along the west coast of the U.S. have made PM2.5 concentrations in cities in this region rank among the highest in the world. Regions of Washington were impacted by active wildfires in the state, and by aged wood smoke transported from fires in Oregon and California. This study aims to assess the population health impact of increased PM2.5 concentrations attributable to the wildfire. Average daily PM2.5 concentrations for each county before and during the 2020 Washington wildfire episode were obtained from the Washington Department of Ecology. Utilizing previously established associations of short-term mortality for PM2.5, we estimated excess mortality for Washington attributable to the increased PM2.5 levels. On average, PM2.5 concentrations increased 91.7 μg/m3 during the wildfire episode. Each week of wildfire smoke exposures was estimated to result in 87.6 (95% CI: 70.9, 103.1) cases of increased all-cause mortality, 19.1 (95% CI: 10.0, 28.2) increased cardiovascular disease deaths, and 9.4 (95% CI: 5.1, 13.5) increased respiratory disease deaths. Because wildfire smoke episodes are likely to continue impacting the Pacific Northwest in future years, continued preparedness and mitigations to reduce exposures to wildfire smoke are necessary to avoid this excess health burden.


2021 ◽  
Author(s):  
Jean M Lawrence ◽  
Kristi Reynolds ◽  
Sharon H Saydah ◽  
Amy Mottl ◽  
Catherine Pihoker ◽  
...  

OBJECTIVE: To examine short-term mortality and cause of death among youth and young adults (YYA) with youth-onset diabetes. <p>RESEARCH DESIGN AND METHODS: We included 19,717 YYA’s newly-diagnosed with diabetes before age 20 from 1/1/2002–12/31/2015 enrolled in the SEARCH for Diabetes in Youth Study. Of these, 14,721 had type 1; 4,141 type 2; 551 secondary and 304 other/unknown diabetes type. Cases were linked with the National Death Index through 12/31/2017. We calculated standardized mortality ratios (SMR) and 95% CIs based on age, sex, and race/ethnicity for state and county population areas and examined underlying causes of death.</p> <p>RESULTS: During 170,148 person-years (PY) (median follow-up=8.5 years), 283 individuals died: 133 with type 1 (103.0/100,000 PY), 55 with type 2 (161.5/100,000 PY), 87 with secondary (1,952/100,000 PY) and 8 with other/unknown diabetes type (312.3/100,000 PY). SMRs (95% CI) for the first three groups were 1.5 (1.2-1.8), 2.3 (1.7-3.0) and 28.0 (22.4-34.6), respectively. Diabetes was the underlying cause of death for 42.1%, 9.1% and 4.6% of deaths, respectively. The SMR was greater for type 2 than for type 1 diabetes (p<0.001). SMRs were significantly higher for ages <20 years, non-Hispanic White and Hispanic individuals and females with type 1 diabetes and for ages <25 years, all race/ethnic minority groups and both sexes with type 2 diabetes. </p> <p>CONCLUSION: Excess mortality was observed among YYA for each type of diabetes with differences in risk associated with diabetes type, age, race/ethnicity, and sex. The root causes of excess mortality among YYAs with diabetes merits further study. </p>


2021 ◽  
Author(s):  
Jean M Lawrence ◽  
Kristi Reynolds ◽  
Sharon H Saydah ◽  
Amy Mottl ◽  
Catherine Pihoker ◽  
...  

OBJECTIVE: To examine short-term mortality and cause of death among youth and young adults (YYA) with youth-onset diabetes. <p>RESEARCH DESIGN AND METHODS: We included 19,717 YYA’s newly-diagnosed with diabetes before age 20 from 1/1/2002–12/31/2015 enrolled in the SEARCH for Diabetes in Youth Study. Of these, 14,721 had type 1; 4,141 type 2; 551 secondary and 304 other/unknown diabetes type. Cases were linked with the National Death Index through 12/31/2017. We calculated standardized mortality ratios (SMR) and 95% CIs based on age, sex, and race/ethnicity for state and county population areas and examined underlying causes of death.</p> <p>RESULTS: During 170,148 person-years (PY) (median follow-up=8.5 years), 283 individuals died: 133 with type 1 (103.0/100,000 PY), 55 with type 2 (161.5/100,000 PY), 87 with secondary (1,952/100,000 PY) and 8 with other/unknown diabetes type (312.3/100,000 PY). SMRs (95% CI) for the first three groups were 1.5 (1.2-1.8), 2.3 (1.7-3.0) and 28.0 (22.4-34.6), respectively. Diabetes was the underlying cause of death for 42.1%, 9.1% and 4.6% of deaths, respectively. The SMR was greater for type 2 than for type 1 diabetes (p<0.001). SMRs were significantly higher for ages <20 years, non-Hispanic White and Hispanic individuals and females with type 1 diabetes and for ages <25 years, all race/ethnic minority groups and both sexes with type 2 diabetes. </p> <p>CONCLUSION: Excess mortality was observed among YYA for each type of diabetes with differences in risk associated with diabetes type, age, race/ethnicity, and sex. The root causes of excess mortality among YYAs with diabetes merits further study. </p>


2015 ◽  
Vol 4 (1) ◽  
pp. 1224-1228 ◽  
Author(s):  
Debasish Chakraborty ◽  
◽  
Debanjan Sarkar ◽  
Shubham Agarwal ◽  
Dibyendu Dutta ◽  
...  

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