| Title |
Mortality, morbidity and health in developed societies: a review of data sources
|
|---|---|
| Published in |
Genus, January 2018
|
| DOI | 10.1186/s41118-018-0027-9 |
| Pubmed ID | |
| Authors |
Guillaume Wunsch, Catherine Gourbin |
| Abstract |
The purpose of this paper is to review the major sources of data on mortality, morbidity and health in Europe and in other developed regions in order to examine their potential for analysing mortality and morbidity levels and trends. The review is primarily focused on routinely collected information covering a whole country. No attempt is made to draw up an inventory of sources by country; the paper deals instead with the pros and cons of each source for mortality and morbidity studies in demography. While each source considered separately can already yield useful, though partial, results, record linkage among data sources can significantly improve the analysis. Record linkage can also lead to the detection of possible causal associations that could eventually be confirmed. More generally, Big Data can reveal changing mortality and morbidity trends and patterns that could lead to preventive measures being taken rather than more costly curative ones. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 14% |
| Student > Master | 7 | 9% |
| Student > Postgraduate | 6 | 7% |
| Student > Ph. D. Student | 6 | 7% |
| Researcher | 5 | 6% |
| Other | 18 | 22% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 17% |
| Computer Science | 7 | 9% |
| Engineering | 7 | 9% |
| Nursing and Health Professions | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 16 | 20% |
| Unknown | 29 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2023.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from Genus
#143
of 176 outputs
Outputs of similar age
#248,804
of 450,499 outputs
Outputs of similar age from Genus
#4
of 4 outputs
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We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.