ArticleHealthcare (Basel, Switzerland)2021
Mortality Trends by Causes of Death and Healthcare during a Period of Global Uncertainty (1990-2017).
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Vitamin D metabolites and the gut microbiota dietary index are associated with reduced all-cause mortality in US adults: a prospective cohort study.BMC nutrition · 2025Article
- The Global, Regional, and National Burden of Lower Respiratory Infections Caused byHealthcare (Basel, Switzerland) · 2025Article
- Economic uncertainty and population health: insights from emerging markets and developing countries.Frontiers in public health · 2023Article
- Trends in the diversity of mortality causes and age-standardised mortality rates among subpopulations within Scotland, 2001-2019.SSM - population health · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study we aim to highlight the spatial differences, intensity and frequency of causes of death associated with a range of diseases and the implications of the socio-economic impact on healthcare worldwide between 1990 and 2017: (1) Background: At the same time, an attempt was made to find regional spatial patterns that may be typical for a given geographical area, based on the assumption that global health care is in a permanent state of uncertainty as developed countries have a different morbidity profile than emerging or developing countries. (2) Methods: Using information provided by Global Burden of Disease Collaborative Network, Our World in Data and the World Bank, a multidimensional analysis was carried out, comprising four types of statistical models: grouping analysis, principal component analysis (PCA) Bravais-Pearson linear correlation and multivariate regression. (3) Results: The results confirm the hypothesis of significant correlations between the frequency of causes of death, quality of health care and quality of public health infrastructure, validated by incidence with socio-economic indicators. The study contributes to the literature by analysing trends in the spatial distribution of causes of death worldwide, detecting regional differentiations and testing how socio-economic factors may limit the incidence of morbidity.
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Registered trials
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