Institution
World Health Organization
Government•Islamabad, Pakistan•
About: World Health Organization is a government organization based out in Islamabad, Pakistan. It is known for research contribution in the topics: Population & Public health. The organization has 13330 authors who have published 22232 publications receiving 1322023 citations. The organization is also known as: World Health Organisation & WHO.
Topics: Population, Public health, Health care, Health policy, Global health
Papers published on a yearly basis
Papers
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TL;DR: The proportion of the population that is supposed to be covered by health insurance schemes or by national or subnational health services is a poor indicator of financial protection and what is required is increasing the share of total health expenditure that is prepaid, particularly through taxes and mandatory contributions.
336 citations
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TL;DR: The usefulness of the classification in helping WHO member countries, particularly low- and middle-income countries, to reduce the disease burden associated with mental disorders is among the highest priorities for the revision.
336 citations
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TL;DR: If the agreed risk factor targets are met, premature mortality from the four main NCDs will decrease to levels that are close to the 25×25 target, with most of these benefits seen in low-income and middle-income countries.
335 citations
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TL;DR: A randomized, double-masked, placebo-controlled community trial of 28,630 children aged 6-72 months was carried out in rural Nepal, an area representative of the Gangetic flood plain of South Asia.
335 citations
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TL;DR: The integrated approach introduced here offers great potential for epidemiological surveillance through phylogeographic reconstructions and for improving predictive models of disease control by demonstrating that predictions of influenza spatial spread are most accurate when data on human mobility and viral evolution are integrated.
Abstract: Information on global human movement patterns is central to spatial epidemiological models used to predict the behavior of influenza and other infectious diseases. Yet it remains difficult to test which modes of dispersal drive pathogen spread at various geographic scales using standard epidemiological data alone. Evolutionary analyses of pathogen genome sequences increasingly provide insights into the spatial dynamics of influenza viruses, but to date they have largely neglected the wealth of information on human mobility, mainly because no statistical framework exists within which viral gene sequences and empirical data on host movement can be combined. Here, we address this problem by applying a phylogeographic approach to elucidate the global spread of human influenza subtype H3N2 and assess its ability to predict the spatial spread of human influenza A viruses worldwide. Using a framework that estimates the migration history of human influenza while simultaneously testing and quantifying a range of potential predictive variables of spatial spread, we show that the global dynamics of influenza H3N2 are driven by air passenger flows, whereas at more local scales spread is also determined by processes that correlate with geographic distance. Our analyses further confirm a central role for mainland China and Southeast Asia in maintaining a source population for global influenza diversity. By comparing model output with the known pandemic expansion of H1N1 during 2009, we demonstrate that predictions of influenza spatial spread are most accurate when data on human mobility and viral evolution are integrated. In conclusion, the global dynamics of influenza viruses are best explained by combining human mobility data with the spatial information inherent in sampled viral genomes. The integrated approach introduced here offers great potential for epidemiological surveillance through phylogeographic reconstructions and for improving predictive models of disease control.
335 citations
Authors
Showing all 13385 results
Name | H-index | Papers | Citations |
---|---|---|---|
Christopher J L Murray | 209 | 754 | 310329 |
Michael Marmot | 193 | 1147 | 170338 |
Didier Raoult | 173 | 3267 | 153016 |
Alan D. Lopez | 172 | 863 | 259291 |
Zulfiqar A Bhutta | 165 | 1231 | 169329 |
Simon I. Hay | 165 | 557 | 153307 |
Robert G. Webster | 158 | 843 | 90776 |
Ali H. Mokdad | 156 | 634 | 160599 |
Matthias Egger | 152 | 901 | 184176 |
Paolo Boffetta | 148 | 1455 | 93876 |
Jean Bousquet | 145 | 1288 | 96769 |
Igor Rudan | 142 | 658 | 103659 |
Holger J. Schünemann | 141 | 810 | 113169 |
Richard M. Myers | 134 | 496 | 137791 |
Majid Ezzati | 133 | 443 | 137171 |