ArticleBulletin of the World Health Organization2017
Drowning deaths between 1861 and 2000 in Victoria, Australia.
Article in Bulletin of the World Health Organization, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Article
- Drowning risk and climate change: a state-of-the-art review.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2022Review
- Fatal drowning statistics from the Netherlands - an example of an aggregated demographic profile.BMC public health · 2022Article
- Epidemiological Analysis of Drowning Deaths Among Different Groups in Jordan - a Retrospective Study (2015-2019).Medical archives (Sarajevo, Bosnia and Herzegovina) · 2022Article
- Changes in drowning mortality rates and quality of reporting from 2004-2005 to 2014-2015: a comparative study of 61 countries.BMC public health · 2019Article
- Pattern of intentional drowning mortality: a total population retrospective cohort study in Australia, 2006-2014.BMC public health · 2019Article
- Drowning and near drowning - definitions and terminology.Forensic science, medicine, and pathology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify the long-term patterns of drowning mortality in the state of Victoria, Australia, and to describe the historical context in which the decrease occurred.
methodsWe obtained data on drowning deaths and population statistics from the Australian Bureau of Statistics and its predecessors for the period 1861 to 2000. From these data, we calculated drowning death rates per 100 000 population per year, by gender and age. We reviewed primary and secondary historical resources, such as government and newspaper archives, books and the Internet, to identify changes or events in the state that may have affected drowning mortality.
findingsFrom 1861 to 2000, at least 18 070 people drowned in Victoria. Male drowning rates were higher than those for females in all years and for all ages. Both sexes experienced the highest drowning rate in 1863 (79.5 male deaths per 100 000 population and 18.8 female death per 100 000 population). The lowest drowning rate was documented in 2000 (1.4 male deaths per 100 000 population and 0.3 female deaths per 100 000 population). The reduction patterns of drowning mortality occurred within a historical context of factors that directly affected drowning mortality, such as the improvement in people's water safety skills, or those that incidentally affected drowning mortality, like infrastructure development.
conclusionWe identified patterns of reduction in drowning mortality, both in males and females and across age groups. These patterns could be linked to events and factors that happened in Victoria during this period. These findings may have relevance to current developing communities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.