Global, regional, and national sepsis incidence and mortality, 1990–2021: a systematic analysisAuthia P Gray, Erin Chung, Rebecca Hsu et al.|The Lancet Global Health|2025 BACKGROUND: The global burden of sepsis, a life-threatening dysregulated host response to infection leading to organ dysfunction, remains challenging to quantify. We aimed to comprehensively estimate the global, regional, and national burden of sepsis, including the impact of the COVID-19 pandemic and underlying causes of sepsis-related deaths with co-occurring infectious syndromes. METHODS: We used multiple cause-of-death, hospital, minimally invasive tissue sampling, and linked death certificate and hospital record data representing 149 million deaths, covering 4290 location-years with mortality estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 to capture explicit and implicit sepsis cases and deaths. We estimated age-location-sex-specific fractions of sepsis-related deaths from 195 underlying causes of death and 22 infectious syndromes from 1990 to 2021 using binomial logistic regression models, and estimated sepsis-related deaths using GBD cause-specific mortality estimates. Using 250 million hospital admissions and 7·82 million deaths from hospital data, representing 1310 location-years, we modelled case fatality rates by use of binomial logistic regression, applied to sepsis death estimates to estimate sepsis incidence by age, location, and year. FINDINGS: In 2021, we estimated 166 million (95% uncertainty interval 135-201) sepsis cases and 21·4 million (20·3-22·5) all-cause sepsis-related deaths globally, representing 31·5% of total global deaths. Sepsis-related deaths decreased between 1990 and 2019, followed by a surge in 2020 and 2021. As of 2021, individuals aged 15 years and older experienced increases across incidence (230%) and mortality (26·3%) since 1990. Those aged 70 years and older had the highest sepsis-related mortality in 2021 (9·28 million [8·74-9·86] deaths). Sepsis-related deaths from infectious underlying causes decreased from 11·8 million (11·1-12·5) in 1990 to 8·34 million (7·72-9·01) in 2019, then increased by 86·4% to 15·5 million (14·7-16·4) in 2021. Sepsis-related mortality due to non-infectious underlying causes of death increased from 4·69 million (4·35-5·05) in 1990 to 5·81 million (5·40-6·25) in 2021; the leading non-infectious underlying causes of death with sepsis were stroke, chronic obstructive pulmonary disease, and cirrhosis. In 2021, bloodstream infections inclusive of HIV and malaria (3·08 million [2·83-3·35]) and lower respiratory infections inclusive of COVID-19 (11·33 million [1·20-1·47]) were the most prominent infectious syndromes complicating sepsis-related deaths from non-infectious underlying causes, representing a consistent trend since 1990. INTERPRETATION: The global burden of sepsis increased in 2020 and 2021, reversing progress from 1990. Sepsis incidence and mortality increased in people aged 15 years and older, especially those aged 70 years and older, and as a complication of non-infectious underlying causes of death such as stroke, primarily through bloodstream infections and lower respiratory infections. The global burden of sepsis is substantial, and sepsis is increasingly a complication of non-infectious causes of death. FUNDING: Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.
International Migration, Remittances and Poverty Alleviation in EthiopiaE Assaminew, G Ahmed, K. Aberra et al.|Ethiopian Journal of Development Research|2011 The article explores the impact of international remittances on the Ethiopian economy as well as the livelihoods and welfare of households. A simple dynamic econometric model, Vector Autoregressive (VAR) model, was used to assess the impact of international remittances on absorption, spending and output. Moreover, we used binary outcome model to test whether remittances have an impact on the welfare of households. Besides, the study made use of macroeconomic data and data from the Ethiopian urban household survey. It was found that remittance shocks positively affect macroeconomic variables; the effect remained to be volatile in the very first periods after the shock. However, the impacts tend to sustain in the years after the fifth period. Moreover, through the positive (but inelastic) relationship between growth and poverty, private remittance inflows have an important implication for poverty in Ethiopia. International remittances significantly reduced the poverty incidence among the urban households in the country. It was also found that female-headed households are more likely to use remittance more effectively than male-headed households are.
Sex differentials in morbidity and mortality in rural Botswana and Bangladesh, 1986-87.Researchers used data from 2 surveys (1987-1987) in Bangladesh and in Botswana to analyze sex differentials in morbidity and mortality. In the 0-11 month olds, mortality rates were greater for males than females in Bangladesh (164 vs. 119) and Botswana (140 vs. 94). This confirmed other research indicating that male infants tend to be ill more often than female infants. Except for 1-4 year old males in Bangladesh, morbidity rates declined as children aged. 1-4 year old females in Bangladesh had the lowest morbidity rates of any other age group in Bangladesh. In Botswana, morbidity was the same for both 1-4 year old males and females (90). 5-14 year old males tended to have higher morbidity than females in Botswana (69 vs. 53). In Bangladesh, morbidity for both sexes was essentially the same, but higher than morbidity in Botswana. In 15-44 year olds, females were healthier than males in Botswana (135 vs. 95), but both sexes in Bangladesh were healthier than those in Botswana and morbidity for them was about the same (mean, 84). Females tended to be less health in summer in Botswana than in Bangladesh (187 vs. 153), but the situation reversed in winter (126 vs. 173). In Botswana, overall mortality differential between males (14.2 rate) and females (6.8 rate) was quite high (7.4), even though Botswana females tended to be more ill than males. This differential was only .4 in Bangladesh. The male mortality rates were identical in both countries, but Bangladesh women were more likely to die than Botswana women (13.8 vs. 6.8). In Botswana, male infants (31) had a higher mortality rate than females (16). Mortality rates of both sexes in the older groups did not show such a large differential. In Bangladesh, 1-4 year old females (20.51) died more often than males (34.8) indicating neglect of females. In conclusion, overall females tended to be ill more often than males, but males tended to die more frequently than females even though morbidity usually comes before mortality.