Academic literature on the topic 'Mortality South Australia Statistics'
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Journal articles on the topic "Mortality South Australia Statistics"
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Reeders, Jocelyn, Vivek Ashoka Menon, Anita Mani, and Mathew George. "Clinical Profiles and Survival Outcomes of Patients With Well-Differentiated Neuroendocrine Tumors at a Health Network in New South Wales, Australia: Retrospective Study." JMIR Cancer 5, no. 2 (November 20, 2019): e12849. http://dx.doi.org/10.2196/12849.
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Background Neuroendocrine tumors (NETs) are a heterogeneous group of malignancies with varying and often indolent clinicobiological characteristics according to their primary location. NETs can affect any organ and hence present with nonspecific symptoms that can lead to a delay in diagnosis. The incidence of NETs is increasing in Australia; data regarding characteristics of NETs were collected from the cancer registry of Hunter New England, Australia. Objective This study aimed to explore the clinical profiles and treatment and survival outcomes of patients with well-differentiated NETs in an Australian population. Methods We reviewed the data of all adult patients who received the diagnosis of NET between 2008 and 2013. The clinicopathological, treatment, and follow-up data were extracted from the local Cancer Clinical Registry. We also recorded the level of remoteness for each patient by matching the patient’s residential postcode to the corresponding Australian Bureau of Statistics 2011 remoteness area category. Univariate analysis was used to find the factors associated with NET-related mortality. Survival analysis was computed. Results Data from 96 patients were included in the study (men: 37/96, 38.5%, and women: 59/96, 61.5%). The median age at diagnosis was approximately 63 years. A higher proportion of patients lived in remote/rural areas (50/96, 52.1%) compared with those living in city/metropolitan regions (46/96, 47.9%). The most common primary tumor site was the gastroenteropancreatic tract, followed by the lung. The factors significantly associated with NET-related mortality were age, primary tumor site, surgical resection status, tumor grade, and clinical stage of the patient. At 5 years, the overall survival rate was found to be 62%, and the disease-free survival rate was 56.5%. Conclusions Older age, advanced unresectable tumors, evidence of metastasis, and higher-grade tumors were associated with poorer outcomes. Lung tumors had a higher risk of NET-related mortality compared with other sites.
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Nguyen, Hiep Duc, Merched Azzi, Stephen White, David Salter, Toan Trieu, Geoffrey Morgan, Mahmudur Rahman, et al. "The Summer 2019–2020 Wildfires in East Coast Australia and Their Impacts on Air Quality and Health in New South Wales, Australia." International Journal of Environmental Research and Public Health 18, no. 7 (March 29, 2021): 3538. http://dx.doi.org/10.3390/ijerph18073538.
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The 2019–2020 summer wildfire event on the east coast of Australia was a series of major wildfires occurring from November 2019 to end of January 2020 across the states of Queensland, New South Wales (NSW), Victoria and South Australia. The wildfires were unprecedent in scope and the extensive character of the wildfires caused smoke pollutants to be transported not only to New Zealand, but also across the Pacific Ocean to South America. At the peak of the wildfires, smoke plumes were injected into the stratosphere at a height of up to 25 km and hence transported across the globe. The meteorological and air quality Weather Research and Forecasting with Chemistry (WRF-Chem) model is used together with the air quality monitoring data collected during the bushfire period and remote sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellites to determine the extent of the wildfires, the pollutant transport and their impacts on air quality and health of the exposed population in NSW. The results showed that the WRF-Chem model using Fire Emission Inventory (FINN) from National Center for Atmospheric Research (NCAR) to simulate the dispersion and transport of pollutants from wildfires predicted the daily concentration of PM2.5 having the correlation (R2) and index of agreement (IOA) from 0.6 to 0.75 and 0.61 to 0.86, respectively, when compared with the ground-based data. The impact on health endpoints such as mortality and respiratory and cardiovascular diseases hospitalizations across the modelling domain was then estimated. The estimated health impact on each of the Australian Bureau of Statistics (ABS) census districts (SA4) of New South Wales was calculated based on epidemiological assumptions of the impact function and incidence rate data from the 2016 ABS and NSW Department of Health statistical health records. Summing up all SA4 census district results over NSW, we estimated that there were 247 (CI: 89, 409) premature deaths, 437 (CI: 81, 984) cardiovascular diseases hospitalizations and 1535 (CI: 493, 2087) respiratory diseases hospitalizations in NSW over the period from 1 November 2019 to 8 January 2020. The results are comparable with a previous study based only on observation data, but the results in this study provide much more spatially and temporally detailed data with regard to the health impact from the summer 2019–2020 wildfires.
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McGarvey, R., J. M. Matthews, and J. H. Prescott. "Estimating lobster recruitment and exploitation rate from landings by weight and numbers and age-specific weights." Marine and Freshwater Research 48, no. 8 (1997): 1001. http://dx.doi.org/10.1071/mf97209.
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Aprocedure is presented for incorporating catch totals by both weight and numbers in stock assessment. Their ratio is the weight of an average harvested individual which, in turn, reflects mean mortality rate. The model is age-based and requires, as input, a vector of average age-specific weights in the catch. The model developed for the South Australian rock lobster (Jasus edwardsii) fishery assumes steady state, constant fishing mortality on all age classes and a natural mortality rate equal to 0·1. Also explicit are reduced vulnerability of recruitment-aged lobsters and incidental mortality of lobsters below the legal minimum size. The solution yields estimates of average exploitation rate and yearly recruitment. These give (absolute) age-specific population numbers in the fishable stock. Exploitation rates were estimated for statistical reporting blocks in South Australia using this catch weight–numbers (qR) method and, for comparison, that of Beverton and Holt employing mean length. Each method was also tested with simulated data, the former yielding estimates of lower variance and bias. In practice, counting individuals captured is likely to require less time and to yield lower measurement error than measuring lengths. This method thus offers the possibility for improved precision and accuracy at lower cost.
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Razali, K., J. Amin, GJ Dore, MG Law, and HCV Projections Working Group. "Modelling and calibration of the hepatitis C epidemic in Australia." Statistical Methods in Medical Research 18, no. 3 (November 26, 2008): 253–70. http://dx.doi.org/10.1177/0962280208094689.
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Hepatitis C virus (HCV) infection in Australia is predominantly transmitted through injecting drug use. A reduction in the heroin supply in Australia in late 2000 and early 2001 may have impacted the number of injecting drug users (IDUs) and the number of new hepatitis C infections. This paper updates estimates of HCV incidence between 1960 and 2005 and models long-term sequelae from infection. Outcomes among those with HCV were also recently assessed in a linkage study assessing cancer and causes of death following HCV diagnosis in New South Wales. Linkage study outcomes have been used here to calibrate modelled outcomes. Mathematical models were used to estimate HCV incidence among IDUs, migrants to Australia from high HCV-prevalence countries, and other HCV exposure groups. Recent trends in numbers of IDUs were based on indicators of injecting drug use. A natural history of HCV model was applied to estimate the prevalence of HCV in the population. Model predicted endpoints that were calibrated against the NSW linkage data over the period 1995—2002 were: (i) incident hepatocellular carcinoma (HCC); (ii) opioid overdose deaths; (iii) liver-related deaths; and (iv) all-cause mortality. Modelled estimates and the linkage data show reasonably good calibration for HCC cases and all-cause mortality. The estimated HCC incidence was increased from 70 cases in 1995 to 100 cases in 2002. All-cause mortality estimated at 1000 in 1995 increased to 1600 in 2002. Comparison of annual opioid deaths shows some agreement. However, the models underestimate the rate of increase observed between 1995 and 1999 and do not entirely capture the rapid decrease in overdose deaths from 2000 onwards. The linkage data showed a peak of overdose deaths at 430 in 1999 compared to 320 estimated by the models. Comparison of observed liver deaths with the modelled numbers showed poor agreement. A good agreement would require an increase in liver deaths from the assumed 2 to 5% per annum following cirrhosis in the models. Mathematical models suggest that HCV incidence decreased from a peak of 14,000 infections in 1999 to 9700 infections in 2005, largely attributable to a reduction in injecting drug use. The poor agreement between projected and linked liver deaths could reflect differing coding of causes of deaths, underestimates of the numbers of people with cirrhosis following HCV, or underestimates of rates of liver death following cirrhosis. The reasonably good agreement between most of the modelled estimates with observed linkage data provides some support for the assumptions used in the models.
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Quine, Susan, Richard Taylor, and Lillian Hayes. "Australian trends in mortality by socioeconomic status using NSW small area data, 1970–89." Journal of Biosocial Science 27, no. 4 (October 1995): 409–19. http://dx.doi.org/10.1017/s0021932000023026.
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SummaryThis ecological study examines trends in socioeconomic differentials in mortality in New South Wales, Australia, over a 20-year period (1970–89). The proportion unskilled was used as the indicator of socioeconomic status and its selection justified. Using census data aggregated by Local Government Area, the relationship between mortality and socioeconomic status was examined using quintiles based on the proportion unskilled in the population. Local Government Areas were also sorted into quintiles using mortality rates (0–74 years) to describe change in mortality differentials over time. Socioeconomic differentials were more evident in the relatively homogeneous Local Government Areas within the Sydney Statistical Division than in the remaining NSW Statistical Divisions which are more heterogeneous and predominantly rural. Although there has been an overall decline in mortality for males and females, and for high and low status groups, over this period the relative socioeconomic differentials have not declined. For the most recent period (1985–89) there appears to be some widening of differentials for males. The NSW state trends are generally similar to those reported for Britain and for other industrialised countries, suggesting that this is a common trend and that policies to reduce inequalities have not been effective.
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Jackson, Caroline A., Cathie L. M. Sudlow, and Gita D. Mishra. "Education, sex and risk of stroke: a prospective cohort study in New South Wales, Australia." BMJ Open 8, no. 9 (September 2018): e024070. http://dx.doi.org/10.1136/bmjopen-2018-024070.
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ObjectiveTo determine whether the association between highest educational attainment and stroke differed by sex and age; and whether potential mediators of observed associations differ by sex.DesignProspective cohort study.SettingPopulation based, New South Wales, Australia.Participants253 657 stroke-free participants from the New South Wales 45 and Up Study.Outcome measuresFirst-ever stroke events, identified through linkage to hospital and mortality records.ResultsDuring mean follow-up of 4.7 years, 2031 and 1528 strokes occurred among men and women, respectively. Age-standardised stroke rate was inversely associated with education level, with the absolute risk difference between the lowest and highest education group greater among women than men. In relative terms, stroke risk was slightly more pronounced in women than men when comparing low versus high education (age-adjusted HRs: 1.41, 95% CI 1.16 to 1.71 and 1.25, 95% CI 1.07 to 1.46, respectively), but there was no clear evidence of statistical interaction. This association persisted into older age, but attenuated. Much of the increased stroke risk was explained by modifiable lifestyle factors, in both men and women.ConclusionLow education is associated with increased stroke risk in men and women, and may be marginally steeper in women than men. This disadvantage attenuates but persists into older age, particularly for women. Modifiable risk factors account for much of the excess risk from low education level. Public health policy and governmental decision-making should reflect the importance of education, for both men and women, for positive health throughout the life course.
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Rosenbloom, Joshua I., Dorit Nitzan Kaluski, and Elliot M. Berry. "A Global Nutritional Index." Food and Nutrition Bulletin 29, no. 4 (December 2008): 266–77. http://dx.doi.org/10.1177/156482650802900403.
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Background A standardized global nutritional index (GNI) would provide a single statistic for each country according to its overall level of nutrition, which could then guide national policies. Objectives and methods We have developed a GNI modeled on the human development index (HDI), based on three indicators of nutritional status: deficits, excess, and food security. Calculations were made within four groups of countries (GNI) (32 developed countries, 26 countries in transition, 64 low-mortality developing countries, and 70 high-mortality developing countries) as well as between them—the Global Nutrition Index World wide (GNIg). Results Complete data were available for 192 countries. The ranking of the highest and lowest countries in the four groups (with their GNIg values) is as follows: developed countries—Japan 1 (0.989), United States 99 (0.806); countries in transition—Estonia 10 (0.943), Tajikistan 173 (0.629); low-mortality developing countries—Republic of Korea 12 (0.939), Nauru 185 (0.565); high-mortality developing countries— Algeria 47 (0.876), Sierra Leone 192 (0.420). A “double burden,” in which nutrient deficits and excesses coexist in the same country, was seen in Mauritania (rank 139), South Africa (rank 146), Samoa (rank 157), Lesotho (rank 160), and Fiji (rank 169). The correlation between GNIg and HDI was intermediate (0.74, 55% of variance explained), demonstrating that good nutrition and development are not necessarily synonymous. Countries may be developed yet have a low GNIg (e. g., Australia, Canada, and the United States) and vice versa (e. g., Indonesia and China). Conclusions Since nutrition is fundamental to a nation's health and productivity, the GNI and GNIg should be used alongside the HDI to obtain an optimal index of a country's overall well-being.
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Mitra, Biswadev, Stephen Bernard, Dashiell Gantner, Brian Burns, Michael C. Reade, Lynnette Murray, Tony Trapani, et al. "Protocol for a multicentre prehospital randomised controlled trial investigating tranexamic acid in severe trauma: the PATCH-Trauma trial." BMJ Open 11, no. 3 (March 2021): e046522. http://dx.doi.org/10.1136/bmjopen-2020-046522.
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IntroductionHaemorrhage causes most preventable prehospital trauma deaths and about a third of in-hospital trauma deaths. Tranexamic acid (TXA), administered soon after hospital arrival in certain trauma systems, is an effective therapy in preventing or managing acute traumatic coagulopathy. However, delayed administration of TXA appears to be ineffective or harmful. The effectiveness of prehospital TXA, incidence of thrombotic complications, benefit versus risk in advanced trauma systems and the mechanism of benefit remain uncertain.Methods and analysisThe Pre-hospital Anti-fibrinolytics for Traumatic Coagulopathy and Haemorrhage (The PATCH-Trauma study) is comparing TXA, initiated prehospital and continued in hospital over 8 hours, with placebo in patients with severe trauma at risk of acute traumatic coagulopathy. We present the trial protocol and an overview of the statistical analysis plan. There will be 1316 patients recruited by prehospital clinicians in Australia, New Zealand and Germany. The primary outcome will be the eight-level Glasgow Outcome Scale Extended (GOSE) at 6 months after injury, dichotomised to favourable (GOSE 5–8) and unfavourable (GOSE 1–4) outcomes, analysed using an intention-to-treat (ITT) approach. Secondary outcomes will include mortality at hospital discharge and at 6 months, blood product usage, quality of life and the incidence of predefined adverse events.Ethics and disseminationThe study was approved by The Alfred Hospital Research and Ethics Committee in Victoria and also approved in New South Wales, Queensland, South Australia, Tasmania and the Northern Territory. In New Zealand, Northern A Health and Disability Ethics Committee provided approval. In Germany, Witten/Herdecke University has provided ethics approval. The PATCH-Trauma study aims to provide definitive evidence of the effectiveness of prehospital TXA, when used in conjunction with current advanced trauma care, in improving outcomes after severe injury.Trial registration numberNCT02187120.
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Lee, E., U. Klöcker, DB Croft, and D. Ramp. "Kangaroo-vehicle collisions in Australia's sheep rangelands, during and following drought periods." Australian Mammalogy 26, no. 2 (2004): 215. http://dx.doi.org/10.1071/am04215.
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The effects of roads on wildlife behaviour and ecological function are poorly known in arid Australia. The most obvious impact is roadkill from wildlife-vehicle collisions. Therefore we collected statistics on kangaroo-vehicle collisions, investigated the causal factors of these collisions, and related roadkill mortality to the population structure, size and distribution of four kangaroo species in two intensive six month studies during and following drought. The research was conducted along a 21.2 km sealed section of the Silver City Highway between Broken Hill and Tibooburra that passes through the University of New South Wales (NSW) Arid Zone Research Station at ‘Fowlers Gap’ in north-western NSW. The rate of roadkill was higher during drought (20.8 roadkills month-1) than non-drought (2.6 roadkills month-1). Affected species were red kangaroos (Macropus rufus), euros (Macropus robustus erubescens), western grey kangaroos (Macropus fuliginosus) and eastern grey kangaroos (Macropus giganteus). During drought, M. fuliginosus and M. giganteus were killed in lower proportions than their proportion in the source population, otherwise species were killed in proportion to their density along the road. There were no sex biases but male M. r. erubescens were much more likely to be beside the road than females and thus were killed more often during drought. The majority of roadkills were young individuals around 2 years old. Curves and stockraces along the road significantly increased the likelihood of roadkills. Likewise the frequency of roadkills was a function of the kangaroo population density along the road, night time traffic volume, low rainfall and higher vegetation cover and greenness along the road relative to surrounding areas. We evaluate the relationships between these causal factors and kangaroovehicle collisions, and discuss the possible effects of these collisions on kangaroo population structure under drought and post-drought conditions.
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Velickovic-Radovanovic, Radmila, Jasmina Petrovic, Biljana Kodela, and Slobodan Janković. "Antihypertensive drugs utilisation and educational activities." Open Medicine 5, no. 5 (October 1, 2010): 627–35. http://dx.doi.org/10.2478/s11536-010-0033-6.
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AbstractThe mortality rate from cardiovascular diseases is high in Serbia. Analysis of antihypertensive drugs utilization is the basis for assessment of cardiovascular pharmacotherapy appropriateness. The aim of this study was to analyze the trend in antihypertensive drugs utilization among outpatients in Niš region, South Serbia compared to some Nordic countries (Norvay, Sweden) and Australia as well as to analyze trends in educational and drug promotion activities directed to primary healthcare workers within the same region. Using the ATC/DDD methodology, we analyzed the utilization of antihypertensive drugs dispensed on prescription in the Nis region over the 2003–2007 period. The study was retrospective, based on data obtained from Central City Pharmacy Nis. Educational and drug promotion activities were noted from the records of Medical Faculty, University of Nis, and from the records of local branches of pharmaceutical companies active in Serbia. Wilcoxon’s test was used in order to calculate the statistical significance of difference. A significant increase of 79.8% (153.8/ 276.6 DDD/inhabitants/day) in antihypertensive drug consumption was observed in the same period. This analysis showed there were substantial increases in the use of diuretics (134.7%), ACE inhibitors (79.5%) and calcium channel blockers (116.1%), especially amlodipin (241.2%). During the observed period, annual numbers of educational activities and of pharmaceutical sales representatives employed within the region increased for almost one fourth. This analysis pointed to a significant increase in the use of antihypertensive drugs in the Nis region, which was matched with increase in educational and drug promotion activities within the region, so that in 2006–2007 total consumption was approximate to some referential countries (Norvay, Sweden).
Dissertations / Theses on the topic "Mortality South Australia Statistics"
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Kariminia, Azar Public Health & Community Medicine Faculty of Medicine UNSW. "Death among a cohort of prisoners in New South Wales Australia ??? a data linkage study." Awarded by:University of New South Wales. School of Public Health and Community Medicine, 2007. http://handle.unsw.edu.au/1959.4/32476.
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This thesis examines mortality rates among adults who experienced full-time imprisonment in New South Wales between January 1988 and December 2002, by record linkage to the Australian National Death Index. The cohort included 76383 men and 8820 women. Over a mean follow-up of 7.7 years, 5137 deaths (4724 men, 423 women) were identified. Three hundred and three deaths (295 men, eight women) occurred in custody. The median age at death was 36.6 years for men and 32.7 years for women. The prominent causes of death were drug overdose, suicide, accidental and cardiovascular disease. The crude mortality rate was 797 per 100000 person-years for men and 685 per 100000 person-years for women. Risk of mortality was 3.7 times greater in male and 7.8 times greater in female prisoners than the standard population. The excess mortality was substantially raised following release from prison in both men (standardised mortality ratio 4.0 vs 1.7) and women (standardised mortality ratio 8.2 vs 2.1). The period of highest risk of death was the first two weeks after release. Drug overdose was the main cause of death, responsible for 68% of the deaths in the first two weeks for men and for 90% of the deaths in this period for women. In men, there was also a clustering of suicide directly after release. Prisoners admitted to prison psychiatric hospital, repeat offenders and those in the early stage of followup were at increased risk of mortality. Violent offenders were overrepresented in suicide figures and property offenders in death from overdose. Minority groups, in particular men, had a lower risk of death than white people. The above findings reinforce how disadvantaged prisoners are, measured by mortality as the most fundamental scale of human wellbeing. Prison represents a potential opportunity for treatment and public health intervention to address some of the health problems underlying the high mortality found in this study. The key challenge is, however, to provide a continuum of care between the prison and community.
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Leppard, P. "An analysis of population lifetime data of South Australia 1841-1996." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09SM/09sml598.pdf.
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Thesis (M.Sc.)--University of Adelaide, School of Applied Mathematics, 2003.Accompanying CD-ROM is part of the appendix. It includes computer programs, data files and output tables. Bibliography: leaves 166-170. Also available in an electronic version via the Internet (ADT).
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Freemantle, Cecily Jane. "Indicators of infant and childhood mortality for indigenous and non-indigenous infants and children born in Western Australia from 1980 to 1997 inclusive." University of Western Australia. School of Paediatrics and Child Health, 2003. http://theses.library.uwa.edu.au/adt-WU2003.0020.
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[Truncated abstract. Please see pdf format for complete text.] Background : The excess burden of mortality born by young Indigenous Australians and the disparity in infant and childhood mortality between Indigenous and non-Indigenous Australians have been well documented. The accuracy and completeness of national data describing the health of Indigenous Australians is inconsistent. The Western Australia (WA) Maternal and Child Health Research Database (MCHRDB), is a linked total population database that includes perinatal maternal and infant data, and infant and childhood morbidity and mortality data. Overall, these data are more than 99% complete, with a similar high level of completeness and validity for Indigenous Western Australians. Aim : The aim of this thesis is to measure Indigenous infant (0 to <1 year) and childhood (>=1 to <19 years) mortality and the disparity between Indigenous and non-Indigenous infants and children in WA for birth cohorts from 1980 to 1997 inclusive. To achieve this aim a number of secondary aims were identified, including the measurement of certain maternal and infant variables, and the age-specific, all-cause and cause-specific mortality for WA infants and children. Method : The study comprises a longitudinal birth cohort study, the primary data source being the MCHRDB. Data included on the MCHRDB are complete for all births in WA from 1980 onwards, with new birth cohorts linked on an annual basis. Maternal and infant variables and the geographical location of the residence and the time of birth and death were included in the descriptive and multivariate analyses. Each infant and childhood death was coded using a three-digit code developed primarily for research purposes. The descriptive analyses of mortality referred to the probability of dying in infancy and in childhood as the cumulative mortality risk (CMR), for various diseases and various population subgroups. Age-specific childhood rates were also calculated. The results of multivariate analyses included the fitting of Cox and Poisson regression models, and estimates of effect were represented as hazard ratios (Cox regression) and relative rates (Poisson regression). Results : Between 1980 and 1997, births to Indigenous mothers accounted for 6% of total WA births. Approximately 46% of Indigenous births were to mothers living in a remote location compared to 9% of non-Indigenous births. Indigenous mothers gave birth at an earlier age (30% of births were to teenage mothers compared to 6% of non-Indigenous births), and were more likely to be single than non-Indigenous mothers (40% Indigenous, 9% non-Indigenous). Indigenous infants had more siblings, were born at an earlier gestation and with a lower birth weight and percentage of expected birth weight. The CMR for Indigenous infants was 22 per 1000 live births compared with 6.7 for non- Indigenous infants, a relative risk (RR) of 3.3 (95%CI 3.0, 3.6). While there was a decrease in the CMR over the birth year groups for both populations, the disparity between the rate of Indigenous and non-Indigenous infant mortality increased. The Indigenous postneonatal (>28 to 365 days) mortality rate (11.7 per 1,000 neonatal survivors) was higher than the neonatal (0 to 28 days) mortality rate (10.3 per 1,000 live births). This profile differed from that for non-Indigenous infants, where the neonatal mortality rate (4.3 per 1,000 live births) was nearly twice that of the postneonatal mortality rate (2.4 per 1,000 neonatal survivors). The main causes of infant mortality among Indigenous infants were potentially preventable. These causes were infection followed by Sudden Infant Death Syndrome (SIDS), which differed from the main causes for non-Indigenous infants, sequelae of prematurity and birth defects. The CMR attributable to SIDS increased over the years amongst Indigenous infants and decreased significantly over the years in the non-Indigenous population. Furthermore, the disparity in mortality between the two populations increased and, in 1995 to 1997, was over seven times higher amongst Indigenous infants. The CMR was highest amongst infants living in remote locations for all causes of death except for Indigenous deaths attributable to SIDS, where the risk of death was highest amongst infants living in metropolitan locations. With the exception of infection, there was no difference in cause-specific mortality amongst Indigenous infants according to geographical location. Indigenous infants living in a remote location were at a significantly increased risk of death due to infection compared with their peers living in a rural or metropolitan location. The risk of death for Indigenous children was more than three times higher than for non-Indigenous children. This risk was significantly increased when most of the perinatal maternal and infant variables were considered.
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Moore, Simon Reading. "Oral cancer in South Australia : a twenty year study 1977-1996." Title page, table of contents and precis only, 1999. http://web4.library.adelaide.edu.au/theses/09DM/09dmm824.pdf.
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Hatami, Bijan. "Seasonal occurrence and abundance of diamondback moth, Plutella xylostella (L.), and its major parasitoids on brassicaceous plants in South Australia /." Title page, contents and summary only, 1996. http://web4.library.adelaide.edu.au/theses/09PH/09phh361.pdf.
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Kunene, Looksmart Lucky Zamokuhle. "Classroomlevel factors affecting mathematics achievement : a comparative study between South Africa and Australia using TIMSS 2003." Diss., University of Pretoria, 2011. http://hdl.handle.net/2263/25819.
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The purpose of the study was to explore and compare key classroom level factors affecting mathematics learner achievement for South Africa and Australia. The study focused in the classroom where teaching and learning takes place. This is a secondary analysis of classroom level factors influencing Grade 8 mathematics learner achievement using the Trends in International Mathematics and Science Study (TIMSS) 2003. TIMSS 2003 was chosen because it was the latest international study available to measure trends in mathematics learner achievement, where South Africa had participated. Quantitative research approach was employed and a survey research method was used which seeks, among others, to explore relationships and patterns. Survey research method was suitable to provide data that responded to the research questions. The data collection in South Africa and Australia was conducted in October-December 2002 as both countries are located in the Southern Hemisphere. The sample for South Africa consisted of 255 schools with 100% coverage and stratification done by a total of nine provinces, and language. This resulted in 8952 learners tested across the provinces (Joncas, 2004, p. 212). For Australia, the sample consisted of 207 schools with 100% coverage and stratification done by a total of 8 States and Territories and school type. This resulted in 4791 learners participating in the study. The sample included teachers of learners who were selected to participate in the TIMSS 2003 study for South Africa and Australia. The intended target was teachers of all learners at the end of their eight year of schooling. For each participating school, a single mathematics class was sampled and the mathematics teacher of the selected class was asked to complete a mathematics questionnaire. Mathematics teachers of sampled learners responded to questions about teaching emphasis on the topics in the curriculum frameworks, instructional practices, professional training and education and their views on mathematics. The mathematics teacher questionnaire was designed to take about 45 minutes to complete The main question for this study was “What are the key classroom factors that influence learner performance in mathematics?” The three sub questions for the study were: What key variables on classroom level are related to learner achievement in mathematics for South Africa? What key variables on classroom level are related to learner achievement in mathematics for Australia? How do the classroom level factors in mathematics performance of South Africa compare with classroom level factors in Australia? The conceptual framework for the study stressed classroom level factors including instructional quality, which includes teacher background factors, classroom climate, teaching requirements and mathematics curriculum. The framework describes the factors related to classroom interactions within the comprehensive education system, with regard to inputs – process – outputs – outcomes. The selection of variables for the inclusion in the models was guided by the conceptual framework and extensive preliminary analyses. Preliminary statistical analyses included exploring descriptive statistics, Varimax factor analysis, reliability, correlation analysis and stepwise multiple regression analysis. The results of the study indicate that several specific classroom level factors were associated with the higher levels of mathematics achievement of South Africa and Australia. The results for the final South African model were: age of teacher; years been teaching; outside school day grading tests; outside school day other; and computer shortage were identified to predict learner achievement. For Australia ten classroom factors, namely, teacher perception of school climate; teacher perception of school safety; teacher emphasis on mathematics homework; teacher repeat mathematics limiting factors; homework contribute towards learning; work conditions; unhappy learners; shortage of instructional equipment; geometric shapes; and algebraic functions were identified to predict learner achievement. South Africa has factors like teacher background and outside school activities by the teacher. Australia has factors like classroom climate, work conditions and curriculum quality. In the light of schools effectiveness research and school improvement research, a comparative study like this one would require more than one level (classroom level), two or three levels would have been ideal to draw other variables and enrich the analysis, especially the learner level and school level. School effectiveness places an emphasis on the ability and social background of the learners as factors that shape academic performanceDissertation (MEd)--University of Pretoria, 2011.
Science, Mathematics and Technology Education
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Reed, Deborah A. "Spatial and temporal biogeochemical changes of groundwater associated with managed aquifer recharge in two different geographical areas." University of Western Australia. School of Biomedical, Biomolecular and Chemical Sciences, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0074.
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[Truncated abstract] Managed Aquifer Recharge (MAR) is a technique that can be used to capture and store water in aquifers for later reuse. This method recycles water that would normally be lost or discarded to the environment. MAR has been observed to have the potential for improving the quality of recharged water through a combination of physical, chemical and biological processes. The aim of this study was to investigate the changes in groundwater microbial population structure during MAR and the major influences that drive these population changes. Biogeochemical MAR studies have the potential to assist in the improved prediction of the removal of contaminants such as nutrients, pathogens and trace organics from the recharged water. Biological clogging during recharge also has the potential to overwhelm an aquifers ability to process wastewater thus reducing the hydraulic conductivity of the aquifer. Therefore further research into the spatial and temporal biogeochemical processes that occur during MAR is required. The geochemical and microbial population dynamics of two contrasting MAR techniques were investigated at two different geographical locations (Perth, Western Australia and Adelaide, South Australia). These MAR sites contained aquifers of dissimilar properties that were recharged with wastewater that contrasted in water quality. The Perth MAR site received secondary treated effluent which continuously infiltrated the unsaturated zone into an unconfined aquifer aided by infiltration galleries. Reclaimed water was extracted from a well at distance from the infiltration gallery. ... Notably the background and recovered water was most dissimilar in microbial and chemical population structure to that described for the infiltration gallery and injection well. Microbial and chemical evidence suggested that the background and extraction well groundwater were unaffected by plume migration. These results suggested that extraction well groundwater was similar in quality to that of ambient groundwater. Significant geochemical and microbial changes of secondary treated effluent during infiltration and lateral movement through aquifer were implicated in addition to the forced hydraulic gradient created from extracting fives time the volume of infiltrating wastewater. This study demonstrated that microbial populations and the geochemical processes associated with MAR can be studied and compared. Multivariate statistical methodology greatly simplified a vast array of dynamic biogeochemical information that could be dissected for meaningful interpretation over distance and time. The study evaluated the major biogeochemical influences which resulted in microbial and geochemical changes where it was noted that microbial populations were more dynamic than geochemical variation over time. Additionally biogeochemical comparative analysis indicated that microbial populations could change in population structure before a shift in aquifer geochemistry was detected. It is anticipated that the results from this study will benefit further research into the biogeochemical processes involved in water quality changes (e.g. nutrient removal, pathogen decay and biodegradation of trace organics) as well as controlling biological clogging of MAR schemes.
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McKenzie, Jane, and janemckenzie@malpage com. "Population demographics of New Zealand fur seals (Arctocephalus forsteri)." La Trobe University. Zoology Department, School of Life Sciences, 2006. http://www.lib.latrobe.edu.au./thesis/public/adt-LTU20080509.121141.
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Assessment of trophic interactions between increasing populations of New Zealand fur seals (Arctocephalus forsteri) and fisheries in southern Australia is limited due to a lack of species specific demographic data and an understanding of the factors influencing population growth. To establish species specific demographic parameters a cross-sectional sample of New Zealand fur seal females (330) and males (100) were caught and individually-marked on Kangaroo Island, South Australia between 2000 and 2003. The seals were aged through examination of a postcanine tooth, which was removed from each animal to investigate age-specific life-history parameters. Annual formation of cementum layers was confirmed and accuracy in age estimation was determined by examination of teeth removed from individuals of known-age. Indirect methods of assessing reproductive maturity based on mammary teat characteristics indicated that females first gave birth between 4-8 years of age, with an average age at reproductive maturity of 5 years. Among reproductively mature females, age-specific reproductive rates increased rapidly between 4-7 years of age, reaching maximum rates of 70-81% between 8-13 years, and gradually decreased in older females. No females older than 22 years were recorded to pup. Age of first territory tenure in males ranged from 8-10 years. The oldest female and male were 25 and 19 years old, respectively. Post-weaning growth in females was monophasic, characterised by high growth rates in length and mass during the juvenile growth stage, followed by a gradual decline in growth rates after reproductive maturity. In contrast, growth in males was biphasic and displayed a secondary growth spurt in both length and mass, which coincided with sexual and social maturation, followed by a rapid decline in growth rates. Age-specific survival rates were high (0.823-0.953) among prime-age females (8-13 yrs of age) and declined in older females. Relative change in annual pup production was strongly correlated with reproductive rates of prime-age females and adult female survival between breeding seasons.
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Leppard, P. (Phillip I. ). "An analysis of population lifetime data of South Australia 1841-1996." 2002. http://web4.library.adelaide.edu.au/theses/09SM/09sml598.pdf.
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Accompanying CD-ROM is part of the appendix. It includes computer programs, data files and output tables. Bibliography: leaves 166-170. The average length of life from birth until death in a human population is a single statistic that is often used to characterise the prevailing health status of the population. It is one of many statistics calculated from an analysis that, for each age, combines the number of deaths with the size of the population in which these deaths occur. This analysis is generally known as life table analysis. Life tables have only occasionally been produced specifically for South Australia, although the necessary data has been routinely collected since 1842. In this thesis, the mortality pattern of South Australia over the period of 150 years of European settlement is quantified by using life table analyses and estimates of average length of life. System requirements for accompanying CD-ROM: IBM compatible computer. Other requirements: Winzip. Adobe Acrobat Reader is required to view or print the PDF files.
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Lungren, Aina Christina. "Peri-operative deaths in two major academic hospitals in Johannesburg, South Africa." Thesis, 2012. http://hdl.handle.net/10539/11663.
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Ph.D., Faculty of Health Sciences, University of the Witwatersrand, 2011Background to and purpose of the study An adverse outcome during the administration of an anaesthetic may result in morbidity or mortality, the latter providing us with the most fundamental measure of the safety of anaesthesia for our patients. Peri-operative deaths due to anaesthesia have not been documented in the province of Gauteng, South Africa, since 1955. The purpose of this study was to document these deaths and compare the findings with previous South African studies, as well as some studies performed overseas. Aims and objectives This study aimed to investigate and determine the prevalence of anaesthesia associated deaths, particularly those that occurred as a direct result of anaesthesia (ACD), both general and regional in two major academic hospitals in the Johannesburg area. These were the Charlotte Maxeke Johannesburg Academic Hospital and the Chris Hani Baragwanath Maternity Hospital. The objectives included examining current legislation and the interpretation thereof with recommendations, as well as the causes or possible risk factors involved in the peri-operative deaths that were studied. vii Research methods and procedures This was a retrospective longitudinal descriptive study, in the form of a clinical audit. All peri-operative deaths during the period 2000 to 2004 were studied at both sites. Numerous data were collected from each death, and descriptive and analytical statistics performed using SAS for Windows to provide frequencies for all of the variables recorded, with subsequent categorical analysis. Results The Anaesthetic Contributory Death (ACD) rate at the Charlotte Maxeke Johannesburg Academic Hospital (CMJAH) was 0.4 per 10,000, which is an improvement from the pilot study that was conducted in that hospital during 1999, but it is still higher per 10,000 than the figures from the United Kingdom. The Anaesthetic Contributory Maternal Death (ACDM) rate at the Chris Hani Baragwanath Hospital was similar to the ACD rate at the CMJAH, and similar to the rate in the United Kingdom. Conclusions The ACD rate in these two hospitals is low, and may well not improve any further, as human error cannot totally be eliminated from anaesthetic practice. The South African law does not specify a time period from the start of the anaesthetic during which a peri-operative death is classified as an ACD. This is poorly understood by the medical fraternity and general public.
Books on the topic "Mortality South Australia Statistics"
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Keig, Gael. An atlas of mortality for South Australia, 1969-1978. [Melbourne]: Commonwealth Scientific and Industrial Research Organization, Australia, 1985.
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Draper, Glenn. Health inequalities in Australia: Mortality. Canberra: Queensland University of Technology and Australian Institute Health and Welfare, 2004.
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Kricker, Anne. Breast cancer in Australia. Sydney: Alpha Biomedical Communications, 1996.
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Giles, Graham. Cancer mortality in migrants to Australia, 1979-1988. Canberra, ACT: Australian Institute of Health and Welfare, 1995.
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Slaytor, Emma K. Maternal deaths in Australia, 1997-1999. Canberra: Australian Institute of Health, 2004.
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Welfare, Australian Institute of Health and. Mortality over the twentieth century in Australia: Trends and patterns in major causes of death. Canberra: Australian Institute of Health and Welfare, 2006.
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Gubhaju, B. B. Child mortality and survival in South Asia: Nepalese perspective. Delhi: Daya Pub. House, 1991.
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Zhao, Kun. Cancer survival and prevalence in Australia: Cancers diagnosed from 1982 to 2004. Canberra, A.C.T: Australian Institute of Health and Welfare, 2008.
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Zhao, Kun. Cancer survival and prevalence in Australia: Cancers diagnosed from 1982 to 2004. Canberra, A.C.T: Australian Institute of Health and Welfare, 2008.
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Zhao, Kun. Cancer survival and prevalence in Australia: Cancers diagnosed from 1982 to 2004. Canberra, A.C.T: Australian Institute of Health and Welfare, 2008.
Find full textBook chapters on the topic "Mortality South Australia Statistics"
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Andrews, D. F., and A. M. Herzberg. "The Rainfall at Adelaide, South Australia." In Springer Series in Statistics, 105–18. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4612-5098-2_16.
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"A7 South America: Infant Mortality Rates (in thousands)." In International Historical Statistics, 2247–49. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137305688_246.
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"A7 South America: Infant Mortality Rates (in thousands)." In International Historical Statistics, 2247–49. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/978-1-137-30568-8_246.
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Mogale, Boipelo Vinolia, Johannes Tshepiso Tsoku, Elias Munapo, and Olusegun Sunday Ewemooje. "Influence of Some Sociodemographic Factors on Causes of Death Among South African Youth." In Advances in Data Mining and Database Management, 429–44. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3053-5.ch022.
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Youth mortality is a challenge in South Africa, where on a daily basis a number of deaths are reported and are related to youth. This study used the 2014 Statistics South Africa data to examine the influence of sociodemographic factors on causes of death among South African youth aged 15-34 years, using a logistic regression model. The results showed that there is a significant relationship between education and causes of death as well as other sociodemographic factors and that the youth mortality will likely reduce if more youth have higher levels of education. The results of this study could be used to improve national prevention campaigns to reduce death among young South Africans, especially adolescents.
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Mackenbach, Johan P. "Patterns of health inequalities." In Health inequalities, 13–47. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198831419.003.0002.
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Chapter 2 (‘Patterns of health inequalities’) sets the scene for the rest of the book, by explaining the measurement of health inequalities and by providing a profusely illustrated overview of inequalities in morbidity and mortality by education and occupational class in 30 European countries. It shows that health inequalities are a generalized phenomenon affecting young and old, men and women, and all aspects of health, but with important differences by age, gender, and type of health problem. It shows that health inequalities are present in all European countries, but with striking variations between countries, suggesting that there is great scope for reducing health inequalities. It also shows that although health inequalities are persistent, they are also highly dynamic, with relative inequalities often increasing and absolute inequalities sometimes declining over time. This chapter includes a comparison with other high-income countries (United States, Canada, Australia, New Zealand, Japan, and South Korea).
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Chu, C. Y. Cyrus. "Demographic Transition and Economic Development." In Population Dynamics. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195121582.003.0016.
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Demographic transition refers to a shift in reproductive behavior from a state of high birth and death rates to a state of low birth and death rates. This transition takes place because of advances in agricultural technology and medical science or improvement in hygiene environment, all of which result in corresponding declines in the mortality rate. In this first phase of the demographic transition, population growth rises because the decline in mortality rate has not been coupled with any significant change in parents’ fertility decisions. Then, in the second phase of the transition, parents begin to reduce their fertility as they realize that their ideal number of children can be more easily achieved with fewer births. The widespread use of contraceptive techniques facilitates parents’ attempts to reduce fertility, which in turn causes a decline in the population growth rate. Eventually, the population growth rate converges to a new level, which may be higher or lower than in the pretransitional stage. To facilitate comparison, we can use figure 11.1 to characterize the time and process of the transition. In figure 11.1, Tα marks the apparent starting point of a continuous decline in mortality. Tβ, which normally occurs later than Tα, refers to the time at which the fertility rate begins to decline. Tγ, is the point of lasting return, with an average rate of natural increase equal to or less than that of the period preceding the date of Tα. The convention is to define D = Tγ - Tα as the duration of the transition period. Chesnais (1992) separated the observations of world demographic transition into several types. The first type includes developed countries in Europe and Japan; the second type consists of countries with immigrant European populations, such as the United States, Australia, and Argentina; late-developing countries, such as India. South Korea, and Jamaica, belong to the third type. For countries of the first type, the mortality decline process is closely related to the development of medical technology, which was gradual and spread out over time; hence, the demographic transition is also long. Late-developing countries and those with large immigrant populations were able to adopt the already-developed medical technology from the advanced countries at one time.
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Cliff, A. D., M. R. Smallman-Raynor, P. Haggett, D. F. Stroup, and S. B. Thacker. "Temporal Trends in Disease Emergence and Re-emergence: World Regions, 1850–2006." In Infectious Diseases: A Geographical Analysis. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780199244737.003.0019.
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In Chapters 4–8, we have examined a series of processes that, often working in combination, have served to precipitate the emergence and re-emergence of infectious and parasitic disease agents in the human population. In this chapter, we conclude our survey with an analysis of temporal trends in disease emergence and re-emergence since 1850. The discussion is informed by long-term shifts in the underlying causes of mortality encapsulated in Omran’s model of epidemiological transition (Section 1.4.1), paying particular attention to the manner in which sample infectious and parasitic diseases have waxed and waned at a variety of geographical scales from the global to the local over the last ∼150 years. Our choice of examples strikes a balance between coverage of geographical regions and epidemiological environments, and coverage of important diseases that we have not so far examined in detail. Our consideration is structured by geographical scale: (1) At the global level, we discuss three major human diseases that have undergone phases of rapid global expansion since 1850—plague, cholera, and HIV/AIDS (Section 9.2). (2) At the regional level, we examine twentieth-century trends in general infectious disease mortality in the advanced economies of Europe, North America, and the South Pacific, 1901–75, before looking at time sequences for sample emerging (Ebola–Marburg) and cyclically re-emerging (meningococcal) diseases in sub-Saharan Africa (Section 9.3). (3) At the national level, we use Hall’s (1993) data to establish the main trends in morbidity due to infectious diseases in Australia, 1917–91 (Section 9.4). (4) At the local level, we extend our examination of long-term disease trends in London, described for the pre-1850 period in Section 2.4, into the late twentieth century (Section 9.5). The chapter is concluded in Section 9.6. In this section, we examine long-term trends in three major human infectious diseases that have undergone phases of global expansion in the last 150 years: plague (Section 9.2.1); cholera (Section 9.2.2); and HIV/AIDS (Section 9.2.3).
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Saurman, E., D. Perkins, D. Lyle, M. Patfield, and R. Roberts. "Case Study." In Evidence-Based Practice in Nursing Informatics, 191–203. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-034-1.ch015.
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The MHEC-RAP project involves the innovative application of video conferencing to mental health assessment in rural NSW. The preliminary evaluation findings of the project are presented. Mental health emergencies in rural and remote settings cause particular problems and are not amenable to conventional health service solutions. Patients and local health care staff may be isolated from specialist mental health staff and from acute inpatient services. Decisions to transport patients for specialist assessments or treatment may be required at night or at weekends and may involve families, police, ambulance services and local health staff. Such decisions need to be made promptly but carefully and the ability to obtain a specialist assessment may assist in making a decision about how best to care for the patient bearing in mind the need to provide a responsive, high quality and safe service to patients and local clinicians. In this chapter we examine a novel approach which uses audio-visual technology to conduct remote emergency mental health patient assessment interviews and provide consultations to local clinicians in rural communities in western NSW. The Mental Health Emergency Care – Rural Access Project or ‘MHEC-RAP’ was developed in 2007 following a series of consultations held in rural towns and implemented in 2008 within the Greater Western Area Health Service (GWAHS), New South Wales, Australia. GWAHS is a primary example of a rural and remote health service. It serves 287,481 people (8.3% of whom are Indigenous Australians) in an area that is 445,197sq km or 55% of the state of New South Wales (Australian Bureau of Statistics, 2001; Greater Western Area Health Service, 2007, 2009). The communities within GWAHS are mostly small, the towns are widely dispersed and local services are “limited by distance, expense, transport, and the difficulty of recruiting health professionals to these areas” (Dunbar, 2007 page 587). The chapter focuses on the design of the service, its implementation and its performance in the first year. We conclude with a discussion about the service, its broader relevance, transferability and its sustainability.
Conference papers on the topic "Mortality South Australia Statistics"
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Parsoya, Vaibhav, Thomas Ward, and Jonathan Bailey. "Effect of Forecastle, Bulwark and Sheer on Probabilities of Green Sea Occurrence on Deck of a Typical Aframax and Suezmax Sized Hulls." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23011.
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A study resulting in qualitative and quantitative information about the effect of forecastle and sheer is presented in this paper. This is based on a linear direct calculation and extends the work of the JIP on F(P)SO Green water loading described in Buchner (2002) by including forward speed effects. The approach calculates Relative Wave Elevation (RWE) from a linear 3D diffraction analysis and adds nonlinear corrections by way of non-linear response spectra of RWE. The probabilities of green sea occurrence are calculated for variable heights of forecastle/sheer, vessel draft, vessel speed and sea depth for relative heading and mean zero upcrossing wave period for sea states on typical tanker routes (Arabian Gulf to Bass Strait (South East Australia), North East (Global Wave Statistics European Data set Areas 5 and 15 with 90m water depth), IACS Common Structural Rules North Atlantic, Lloyds Register 100A1 and Alaska (Trans-Alaska Pipeline System) to Long Beach). This comparison is done on one typical sized Aframax and Suezmax hull. A downtime in hours over 25 years of design life in 3 hours sea state is also computed which can be a direct input to the risk matrix analysis.