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The series of all-cause mortality maps presented in this paper have implications for public health intervention and program implementation.
This study describes the mortality geographical patterns trend across four quinquennia, and so updates the municipal mortality maps previously published for the most frequent malignant tumours in Spain.
In this study we removed all geographically identifying features (administrative and village boundaries, roads) from the subset of all-cause mortality maps that were developed.
The other studies focused on identifying geographical variation and they recommended under-five mortality maps as useful tool for monitoring under-five mortality in different countries [ 7- 10].
The resulting under-five mortality maps can be used as a practical tool for monitoring progress within countries for the Millennium Development Goal 4 to reduce under-five mortality in half by 2015.
This review focuses on the stepwise approach of using cancer mortality maps, supplemented by correlation studies linking mortality rates with demographic and industrial data at the county level, to generate hypotheses to cancer etiology which can then be pursued by analytical epidemiological studies.
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In order to visualise geographical patterns in observed mortality rates, we calculated a mortality rate for each plot ("plot-averaged mortality") by fitting a single-parameter logistic model to the data, and used the coordinates of each to create a regional mortality map.
The modern mortality map seems superficially to be noticeably different from the 1900s map.
Recognizing that neighborhood contextual factors increase risk of heat-related morbidity and mortality, mapping studies have demonstrated spatial variability in heat vulnerability.
They are shown to occur at younger age and more advanced stage; still, a visible effect on the mortality map may only be seen in areas with ethnic groups or very large families with a highly elevated risk for hereditary cancer.
Therefore, this study provides an empirical child mortality risk map that can be used for intervention by the government.
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