Literature DB >> 24944343

Unintentional drowning mortality, by age and body of water: an analysis of 60 countries.

Ching-Yih Lin1, Yi-Fong Wang2, Tsung-Hsueh Lu3, Ichiro Kawach4.   

Abstract

BACKGROUND: To examine unintentional drowning mortality by age and body of water across 60 countries, to provide a starting point for further in-depth investigations within individual countries.
METHODS: The latest available three years of mortality data for each country were extracted from WHO Health Statistics and Information Services (updated at 13 November 2013). We calculated mortality rate of unintentional drowning by age group for each country. For countries using International Classification of Disease 10 (ICD-10) detailed 3 or 4 Character List, we further examined the body of water involved.
RESULTS: A huge variation in age-standardised mortality rate (deaths per 100 000 population) was noted, from 0.12 in Turkey to 9.19 in Guyana. Of the ten countries with the highest age-standardised mortality rate, six (Belarus, Lithuania, Latvia, Russia, Ukraine and Moldova) were in Eastern Europe and two (Kazakhstan and Kyrgyzstan) were in Central Asia. Some countries (Japan, Finland and Greece) had a relatively low rank in mortality rate among children aged 0-4 years, but had a high rank in mortality rate among older adults. On the contrary, South Africa and Colombia had a relatively high rank among children aged 0-4 years, but had a relatively low rank in mortality rate among older adults. With regard to body of water involved, the proportion involving a bathtub was extremely high in Japan (65%) followed by Canada (11%) and the USA (11%). Of the 13 634 drowning deaths involving bathtubs in Japan between 2009 and 2011, 12 038 (88%) were older adults aged 65 years or above. The percentage involving a swimming pool was high in the USA (18%), Australia (13%), and New Zealand (7%). The proportion involving natural water was high in Finland (93%), Panama (87%), and Lithuania (85%).
CONCLUSIONS: After considering the completeness of reporting and quality of classifying drowning deaths across countries, we conclude that drowning is a high-priority public health problem in Eastern Europe, Central Asia, Japan (older adults involving bathtubs), and the USA (involving swimming pools). Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Mesh:

Year:  2014        PMID: 24944343      PMCID: PMC4501178          DOI: 10.1136/injuryprev-2013-041110

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


Introduction

Despite the global decrease of age-standardised unintentional drowning mortality rate from 7.5 (deaths per 100 000 population) in 1990 to 5.1 in 2010, there was still a total of 439 100 unintentional drowning deaths globally in 2010, according to the Global Burden of Disease Study 2010 (GBD 2010).1 Of 439 100 estimated unintentional drowning deaths in 2010, one-third (32.1%) were children aged 0–14 years, and one-fifth (21.5%) were young adults aged 25–44 years. The drowning death rate differed by age group: 12.6 (deaths per 100 000 population) for children aged 1–4 years, 3.0 for early adolescents aged 10–14 years, 5.0 for late adolescents aged 15–19 years, 3.8 for adults aged 44–49 years, and 7.5 for older adults aged 70–75 years.1 For years of life lost, unintentional drowning ranked 21 among 179 causes of death globally; however, the rank was 12 in Eastern and Central Asia and 54 in Western Europe.1 However, the GBD 2010 did not analyse drowning deaths by body of water.1 The GBD found huge variations in unintentional drowning mortality by age and region, which are mainly due to exposure to different bodies of water (eg, bathtub, swimming pool, pond, lake, stream, river, or beach), activities (eg, activities of daily living, recreation, or work-related activities), and circumstances (eg, after drinking alcohol, during a flood, or the occurrence of diseases, such as epilepsy).2 Brenner and Taneja suggest that delineation of location and circumstances surrounding the drowning event are key to identifying prevention strategies.3 While there have been many epidemiological studies on locations and circumstances surrounding drowning deaths, most of these studies were confined to a single country. Furthermore, most of these studies focused on children,4–18 which cannot help us understand the worldwide diversity of drowning mortality rates. In regards to international comparisons, we found only two. One study examined drowning mortality worldwide, but this study did not present the age-specific drowning mortality rate in each country.19 Another recent report revealed a detailed picture of drowning mortality rates among children in low-income and middle-income counties in Asia.20 However, no study yet has compared unintentional drowning mortality rates in middle and older adults across countries. International comparisons of injury mortality can help generate hypotheses and provide clues for injury prevention.21–24 Thus, we sought to examine unintentional drowning mortality by age and body of water across countries to provide a starting point for further in-depth investigations of unintentional drowning mortality within individual countries.

Methods

Data source

Mortality data for each country were extracted from the WHO Health Statistics and Health Information Services.25 As of 13 November 2013, 153 countries had submitted mortality data to WHO. Because we are interested in relatively current comparisons, we excluded countries for which the latest available data was before 2005. Different countries used different Revision and Tabulation List of the International Classification of Disease (ICD). We used ICD-8 condensed A List A143 (ie, detailed ICD-8 code E910), ICD-9 condensed Basic Tabulation List B521 (ie, detailed ICD-9 code E910), ICD-10 condensed Tabulation List 1 1098 (ie, detailed ICD-10 codes W65-W74), and ICD-10 detailed Three and Four Character List ICD-10 codes V90, V92, W65–W74 to identify unintentional drowning deaths. To ensure statistical stability in calculating the mortality rate by age group, we combined data for the latest available 3 years, and included only those countries that reported more than 150 unintentional drowning deaths for all age groups. Based on these inclusion criteria, a total of 60 countries were included in the final analysis. One country (Turkey) used condensed ICD-8 List A; one country (Greece) used condensed ICD-9 Basic Tabulation List; four countries (Kazakhstan, Belarus, Russia, and Ukraine) used condensed ICD-10 Tabulation List 1; seven countries (South Korea, Malaysia, Taiwan, Bulgaria, Serbia, Egypt, South Africa) used detailed Three Character List ICD-10 codes; and the remaining 47 countries used detailed ICD-10 Four Characters List codes. Completeness and quality of mortality data differed across countries; because this affects interpretation of this study, we listed the completeness of mortality data for each country as assessed by the WHO.26 There were nine countries for which the completeness of mortality data was less than 90%, and seven countries for which the information on completeness was not available (Appendix). For countries that used detailed ICD-10 Three or Four Character List codes, we further examined the quality of reporting for body of water (ie, bathtub, swimming pool, natural water, other) and mechanism (while in water or falling into water). To do this, we calculated the percentage of drowning deaths classified as ‘unspecified’ (ICD-10 code W74) among all drowning deaths (ICD-10 codes W65-W74). We defined ‘high quality’ data as having less than 20% as ‘unspecified’, as suggested by the Global Burden of Disease Injury Expert Group.27

Statistical analysis

We first calculated the age-specific (0–4, 5–14 15–24, 25–44, 45–64, and 65+ years) unintentional drowning mortality rates (deaths per 100 000 population) and 95% CIs in each country and region. Some countries did not provide population data to WHO, so we used population data from the 2010 Revision of the World Population Prospects undertaken by the Population Division of the United Nations Department of Economic and Social Affairs of the United Nations Secretariat.28 We used the WHO World Standard Population to compute the age-standardised mortality rate.25 We then ranked the unintentional drowning mortality rates of each country by age groups. For countries that used detailed ICD-10 Three or Four Character List codes, we further illustrated the percentage of drowning deaths by body of water (ie, bathtub, swimming pool, natural water, other, and unspecified). The countries were grouped according to region as used by the GBD 2010.1

Results

Table 1 presents the ranking of unintentional drowning mortality rate for each country by age groups. Of the 10 countries with highest ranking in age-standardised mortality rates, six (Belarus, Lithuania, Latvia, Russia, Ukraine and Moldova) were in Eastern Europe and two (Kazakhstan and Kyrgyzstan) were in Central Asia. Some countries (Japan, Finland and Greece) had a relatively low rank in mortality rate among children aged 0–4 years (43, 48 and 40, respectively) but had a high rank in mortality rate among older adults (1, 9, and 4 respectively). On the contrary, South Africa and Colombia had a relatively high rank among children aged 0–4 years (7 and 9) but had a relatively low rank in mortality rate among older adults (25 and 31). The numbers, proportions and rates of unintentional drowning deaths in each country are illustrated by age and region in online supplementary file 1.
Table 1

Ranking of unintentional drowning mortality rates for each country by different age groups

Country, latest available 3 yearsAll ages0–45–1415–2425–4445–6465+
Guyana, 2006–200813151422
Belarus, 2007–200921682144
Lithuania, 2008–20103864315
Latvia, 2008–201041093737
Russia, 2008–2010514552512
Thailand, 2004–2006621121096
Kazakhstan, 2008–2010743651123
Ukraine, 2009–2011817476813
Moldova, 2009–20119122158610
Kyrgyzstan, 2008–201010112209108
Estonia, 2009–20111123251112714
El Salvador, 2007–20091222168111433
Romania, 2008–20101328717161211
Panama, 2007–2009145119142115
Nicaragua, 2008–201015322710131832
Brazil, 2008–201016131314152239
Ecuador, 2008–20101761416183119
Japan, 2009–20111843424749231
Uruguay, 2007–200919251713202727
Chile, 2007–200920193326171720
South Africa, 2007–20092171028233425
Slovakia, 2008–201022352629191518
Costa Rica, 2007–200923272222212034
Finland, 2009–20112448504528139
Greece, 2008–20102540463827263
Paraguay, 2007–200926292818253045
Colombia, 2007–20092791823324231
Mexico, 2008–201028212919243728
Poland, 2009–201129503827261636
Venezuela, 2005–200730111921314043
Cuba, 2008–201031312425223342
New Zealand, 2007–200932244731302941
Bulgaria, 2009–201133492037342829
Croatia, 2009–201134594843381916
Peru, 2005–200735183432353926
Czech Republic, 2009–201136364039332524
Taiwan, 2009–201137373144393517
Hungary, 2009–201138553634362435
Egypt, 2009–201139202324415257
Norway, 2009–201140514333373237
Argentina, 2008–201041153230455054
France, 2007–200942344951433622
USA, 2008–201043264136424347
Georgia, 2007, 2009, 201044573548294446
Korea, 2009–201145523750463821
Australia, 2009–201146304446405144
Malaysia, 2006–200847332140445558
Serbia, 2009–201148543042514140
Guatemala, 2006–200849473935484656
Canada, 2007–200950384541474850
Spain, 2008–201051415449504738
Sweden, 2008–201052535356524530
Portugal, 2009–201153395253545352
Italy, 2008–201054585152535651
Belgium, 2007–200955425559564949
Austria, 2009–201156465954585448
Netherlands, 2009–201157455757575755
UK, 2008–201058565855555859
Germany, 2009–201159445658595953
Turkey, 2006–200860606060606060
Ranking of unintentional drowning mortality rates for each country by different age groups The age-standardised and age-specific unintentional drowning mortality rate and 95% CI in each country are illustrated in figures 1–7. The range in mortality rate between countries with highest and lowest rates was largest among children aged 0–4 years, and was lowest among young adults aged 15–24 years, and middle adults aged 45–64 years.
Figure 1

The age-standardised unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs in each country.

Figure 2

Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for children aged 0–4 years in each country.

Figure 3

Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for children aged 5–14 years in each country.

Figure 4

Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for young adults aged 15–24 years in each country.

Figure 5

Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for adults aged 25–44 years in each country.

Figure 6

Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for middle adults aged 45–64 years in each country.

Figure 7

Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for older adults aged 65 years and above in each country.

The age-standardised unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs in each country. Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for children aged 0–4 years in each country. Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for children aged 5–14 years in each country. Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for young adults aged 15–24 years in each country. Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for adults aged 25–44 years in each country. Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for middle adults aged 45–64 years in each country. Unintentional drowning mortalty rate (deaths per 100 000 population) and 95% CIs for older adults aged 65 years and above in each country. Of the 54 countries that used ICD-10 detailed Three or Four Character List codes (see online supplementary file 2), only 14 countries provided high-quality information on body of water and mechanism of drowning, that is, with less than 20% classified as unspecified (table 2). The proportion of unintentional drowning deaths involving bathtubs was extremely high in Japan (65%), compared to the second and third highest, Canada (11%), and the USA (11%). Of the 13 634 drowning deaths involving bathtubs in Japan between 2009 and 2011, 12 038 (88%) were older adults aged 65 years or above. The proportion involving natural water was high in Finland (93%), Panama (87%), and Lithuania (85%). The percentage involving swimming pools was high in the USA (18%), Australia (13%), and New Zealand (7%).
Table 2

Number and percentage of unintentional drowning deaths by body of water for 14 countries that used ICD-10 detailed 3 or 4 Character List with percentage of unspecified code less than 20%

Country, latest available three yearsBathtubSwimming poolNatural water
TotalWhile inFall intoWhile inFall intoWhile inFall intoOther specifiedUnspecified
No.%No.%No.%No.%No.%No.%No.%No.%No.%
Japan, 2009–201121108100.01352564.11090.5280.140.0272012.911045.213526.4226610.7
Australia, 2009–2011755100.0324.270.9668.7344.526034.425133.2233.08210.9
New Zealand, 2007–2009231100.083.500.052.2125.29039.09742.093.9104.3
Cuba, 2008–2010701100.010.100.0213.030.449670.8527.412217.460.9
Hungary, 2009–2011551100.0183.320.461.120.431056.38515.411020.0183.3
Poland, 2009–20112726100.0632.390.370.3120.4163560.050218.41365.036213.3
Slovakia, 2008–2010456100.0183.920.430.710.227660.59019.7327.0347.5
Estonia, 2009–2011215100.0104.710.510.510.510046.53114.43516.33616.7
Latvia, 2008–2010548100.071.310.230.500.030355.3122.221038.3122.2
Lithuania, 2008–2010943100.0353.750.550.530.362366.117919.0414.3525.5
Finland, 2009–2011523100.081.500.081.591.716331.232261.640.891.7
Panama, 2007–2009369100.000.000.010.361.629880.8215.771.9369.8
Canada, 2007–2009999100.0969.6161.6545.4191.929729.734734.7434.312712.7
USA, 2008–201011809100.0119410.1900.8181815.42702.3429136.3180215.35264.5181815.4

ICD, International Classification of Disease.

Number and percentage of unintentional drowning deaths by body of water for 14 countries that used ICD-10 detailed 3 or 4 Character List with percentage of unspecified code less than 20% ICD, International Classification of Disease. Of the 2088 drowning deaths occurring in swimming pools in the USA between 2008 and 2010, 766 (37%) were children aged 0–4 years, 244 (12%) were children aged 5–14 years, 163 (8%) were young adults aged 15–24 years, 264 (13%) were adults aged 25–44 years, 319 (15%) were middle adults aged 45–64 years, and 332 (16%) were older adults aged 65 years and above. With regard to the mechanism of drowning in swimming pools in the USA, the proportion that involved falling into water was 18% (141/766) among children aged 0–4 years, 7% (17/244) among children aged 5–14 years, 4% (6/163) among young adults aged 15–24 years, 5% (13/264) among adults aged 25–44 years, 7% (23/319) among middle adults aged 45–64 years, 21% (70/332) among older adults aged 65 years and above.

Discussion

The findings of this study suggest huge variations in unintentional drowning mortality rates and relative involvement of different bodies of water across countries. We found a more than 20 times difference in highest and lowest age-standardised mortality rates between countries. Countries in Eastern Europe and Central Asia had comparatively high mortality rates. Japan had an extremely high mortality rate among older adults involving bathtubs. The USA had the highest relative proportion involving swimming pools. We should be cautious regarding the comparability of mortality data across countries due to variable completeness and coverage. The GBD 2010 study stressed that completeness of mortality data is often substantially different for child and adult deaths; while in some regions, such as Latin America, child completeness is usually lower than adult completeness, alternate patterns are observed in Asia. Some systems capture deaths relatively completely in selected administrative units only, such as in Turkey. Therefore, completeness of registration might be high but coverage is not.1 The findings of this study indicate that mortality rate in Turkey was lowest in each age group, which might be due to poor coverage reporting drowning deaths. Most unintentional drowning events occurred in communities with natural water such as seas, rivers, lakes and ponds; subsequently, the victims are found dead at the scene many hours after the drowning event occurred. Many of these drowned corpses are not brought to hospitals or health facilities and, therefore, are under-recognised. Furthermore, societal factors ranging from financial consideration, to fear of punitive legal implications for the persons reporting the drowning, to distance to health facilities, and lack of transportation all may be factors that impede reporting. According to UNICEF survey, estimation of child drowning in low and middle-income countries in Asia, around 20% of child drowning deaths were under-recognised in all countries surveyed.20 Of the 10 countries with the highest age-standardised mortality rates estimated in this study, Guyana and Thailand had completeness levels less than 90%. For the other eight countries, two were in Central Asia (Kazakhstan and Kyrgyzstan) and six were in Eastern Europe (Belarus, Latvia, Lithuania, Moldova, Russia, and Ukraine). Six of these are members of or participate in the Commonwealth of Independent States, where it has been suggested that the increasing injury mortality rates are a consequence of poor management of the societal transition to market economies. Furthermore, there are high rates of alcohol consumption, which is an obvious risk factor for unintentional injuries.29 However, no study yet has specifically examined the exact circumstances of unintentional drowning deaths in Eastern European countries, and the potential connection to alcohol consumption. We should also consider the quality of reporting for specific information on death certificates across counties. We defined high quality of reporting as less than 20% of drowning deaths classified as unspecified for body of water or mechanism of drowning. According to this definition, only 17 out of 69 countries (25%) using ICD-10 detailed Three or Four Character List codes submitted high-quality drowning-related mortality data to WHO in 2009.30 In 2003, the number of countries with high-quality mortality data was 14 out of 54 (26%), not a significant change. Of the 14 countries with high quality in reporting information on body of water in this study, natural water was the main body of water involved in unintentional drowning deaths in 13 countries. The only exception was Japan, where bathtub was the main body of water involved and victims were mostly older adults. Researchers in Japan pointed out the low autopsy rates for elderly deaths involving bathtubs and suggested that many of the so-called drowning deaths were actually due to ischaemic heart disease or cerebrovascular disease. They also found variation in personal preferences of medical examiners, police surgeons, and general practitioners for certifying drowning deaths versus cardiovascular diseases deaths.31 32 There is no specific subcategory under natural water. Previous studies have indicated that the main type of natural water differed across countries. The type of natural water most often involved was, lake, in Finland; sea, in Denmark,4 Australia,6 Singapore,10 northern Iran15 and urban South African18; pond/ditch, in rural Bangladesh,5 China13 and south India.14 The variations are due to geographic environment, climate and cultural activities, which influence circumstances that may result in drowning. There were two countries with a relatively high proportion of drowning in swimming pools: the USA (18%) and Australia (13%). A US study of swimming pool drowning deaths among residents aged 5–24 years indicated that the majority of Black victims (51%) drowned in public pools, the majority of White victims (55%) drowned in residential pools, and the majority of Hispanic victims (35%) drowned in neighbourhood pools.33 Our findings point out that one-third of swimming pool drowning deaths were middle and older adults. However, no study yet has examined circumstances surrounding swimming pool drowning among middle and older adults. We also found that children and older adults were the age groups with highest percentage, with falling into water as the mechanism involved. Further studies are needed to collect relevant information on drowning deaths involving falling into water in a swimming pool, for designing better preventive measures. Several other limitations should be noted. First, many countries with high drowning mortality rates (eg, India and Bangladesh) were not included because no data were available in the WHO mortality database. Second, to ensure statistical power stability, we confined our analysis to countries that reported more than 150 deaths by drowning with the most recent year of data after 2005, which resulted in 93 countries being excluded from the analysis (including China). Third, for countries using condensed ICD-9 Basic Tabulation List or condensed ICD-10 Tabulation List, we could not identify water transport-related drowning deaths (ie, ICD-9 code E830 and E832 and ICD-10 code V90 and V92). Despite these limitations, this preliminary descriptive epidemiological study can still provide useful information as a starting point for further in-depth investigations within individual countries. After considering the completeness of reporting and quality of classifying drowning deaths across countries, we conclude that drowning is a high-priority public health problem in Eastern Europe, Central Asia, Japan (older adults involving bathtubs), and the USA (involving swimming pools). Further in-depth studies are needed to explore the exact circumstances and specific factors as basic information in designing relevant counter-measures. Most previous studies on unintentional drowning mortality were confined to one country and focused on children. Little is known with regard to drowning mortality rates for middle-aged and older adults, with a global picture. Age-standardised drowning mortality rates were highest in countries in Eastern Europe and Central Asia. Older adults in Japan had an extremely high drowning mortality rate involving bathtubs. The proportion of drowning deaths in swimming pools was highest in the USA. Children and older adults had high percentages of falling into swimming pools.
  24 in total

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Journal:  Accid Anal Prev       Date:  2008-09-04

7.  Quality of cause-of-death reporting using ICD-10 drowning codes: a descriptive study of 69 countries.

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Authors:  Adnan A Hyder; Anju Aggarwal
Journal:  Health Policy       Date:  2008-06-20       Impact factor: 2.980

9.  Analysis of the childhood fatal drowning situation in Bangladesh: exploring prevention measures for low-income countries.

Authors:  A Rahman; S R Mashreky; S M Chowdhury; M S Giashuddin; I J Uhaa; S Shafinaz; M Hossain; M Linnan; F Rahman
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Authors:  Rafael Lozano; Mohsen Naghavi; Kyle Foreman; Stephen Lim; Kenji Shibuya; Victor Aboyans; Jerry Abraham; Timothy Adair; Rakesh Aggarwal; Stephanie Y Ahn; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Suzanne Barker-Collo; David H Bartels; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Kavi Bhalla; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; Fiona Blyth; Ian Bolliger; Soufiane Boufous; Chiara Bucello; Michael Burch; Peter Burney; Jonathan Carapetis; Honglei Chen; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Nabila Dahodwala; Diego De Leo; Louisa Degenhardt; Allyne Delossantos; Julie Denenberg; Don C Des Jarlais; Samath D Dharmaratne; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Patricia J Erwin; Patricia Espindola; Majid Ezzati; Valery Feigin; Abraham D Flaxman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Sherine E Gabriel; Emmanuela Gakidou; Flavio Gaspari; Richard F Gillum; Diego Gonzalez-Medina; Yara A Halasa; Diana Haring; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Bruno Hoen; Peter J Hotez; Damian Hoy; Kathryn H Jacobsen; Spencer L James; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Ganesan Karthikeyan; Nicholas Kassebaum; Andre Keren; Jon-Paul Khoo; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Michael Lipnick; Steven E Lipshultz; Summer Lockett Ohno; Jacqueline Mabweijano; Michael F MacIntyre; Leslie Mallinger; Lyn March; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; John McGrath; George A Mensah; Tony R Merriman; Catherine Michaud; Matthew Miller; Ted R Miller; Charles Mock; Ana Olga Mocumbi; Ali A Mokdad; Andrew Moran; Kim Mulholland; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Kiumarss Nasseri; Paul Norman; Martin O'Donnell; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; David Phillips; Kelsey Pierce; C Arden Pope; Esteban Porrini; Farshad Pourmalek; Murugesan Raju; Dharani Ranganathan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Frederick P Rivara; Thomas Roberts; Felipe Rodriguez De León; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Joshua A Salomon; Uchechukwu Sampson; Ella Sanman; David C Schwebel; Maria Segui-Gomez; Donald S Shepard; David Singh; Jessica Singleton; Karen Sliwa; Emma Smith; Andrew Steer; Jennifer A Taylor; Bernadette Thomas; Imad M Tleyjeh; Jeffrey A Towbin; Thomas Truelsen; Eduardo A Undurraga; N Venketasubramanian; Lakshmi Vijayakumar; Theo Vos; Gregory R Wagner; Mengru Wang; Wenzhi Wang; Kerrianne Watt; Martin A Weinstock; Robert Weintraub; James D Wilkinson; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Paul Yip; Azadeh Zabetian; Zhi-Jie Zheng; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
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Journal:  Turk Thorac J       Date:  2021-11

Review 4.  Fatal river drowning: the identification of research gaps through a systematic literature review.

Authors:  Amy E Peden; Richard C Franklin; Peter A Leggat
Journal:  Inj Prev       Date:  2016-01-04       Impact factor: 2.399

5.  The Hidden Tragedy of Rivers: A Decade of Unintentional Fatal Drowning in Australia.

Authors:  Amy E Peden; Richard C Franklin; Peter A Leggat
Journal:  PLoS One       Date:  2016-08-12       Impact factor: 3.240

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Authors:  Kosuke Motoi; Yasuhiro Yamakoshi; Takehiro Yamakoshi; Hiroaki Sakai; Naoto Tanaka; Ken-Ichi Yamakoshi
Journal:  Biomed Eng Online       Date:  2017-01-11       Impact factor: 2.819

7.  Using a retrospective cross-sectional study to analyse unintentional fatal drowning in Australia: ICD-10 coding-based methodologies verses actual deaths.

Authors:  Amy E Peden; Richard C Franklin; Alison J Mahony; Justin Scarr; Paul D Barnsley
Journal:  BMJ Open       Date:  2017-12-21       Impact factor: 2.692

8.  Unintentional Child and Adolescent Drowning Mortality from 2000 to 2013 in 21 Countries: Analysis of the WHO Mortality Database.

Authors:  Yue Wu; Yun Huang; David C Schwebel; Guoqing Hu
Journal:  Int J Environ Res Public Health       Date:  2017-08-04       Impact factor: 3.390

9.  Formative research to develop theory-based messages for a Western Australian child drowning prevention television campaign: study protocol.

Authors:  Mel Denehy; Gemma Crawford; Justine Leavy; Lauren Nimmo; Jonine Jancey
Journal:  BMJ Open       Date:  2016-05-20       Impact factor: 2.692

10.  Drowning mortality by intent: a population-based cross-sectional study of 32 OECD countries, 2012-2014.

Authors:  Wan-Hua Hsieh; Chien-Hsing Wang; Tsung-Hsueh Lu
Journal:  BMJ Open       Date:  2018-07-23       Impact factor: 2.692

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