Improvement of maternal Aboriginality in NSW birth data

<p>Abstract</p> <p>Background</p> <p>The Indigenous population of Australia was estimated as 2.5% and under-reported. The aim of this study is to improve statistical ascertainment of Aboriginal women giving birth in New South Wales.</p> <p>Methods</p> <p>This study was based on linked birth data from the Midwives Data Collection (MDC) and the Registry of Births Deaths and Marriages (RBDM) of New South Wales (NSW). Data linkage was performed by the Centre for Health Record Linkage (CHeReL) for births in NSW for the period January 2001 to December 2005. The accuracy of maternal Aboriginal status in the MDC and RBDM was assessed by consistency, sensitivity and specificity. A new statistical variable, ASV, or Aboriginal Statistical Variable, was constructed based on Indigenous identification in both datasets. The ASV was assessed by comparing numbers and percentages of births to Aboriginal mothers with the estimates by capture-recapture analysis.</p> <p>Results</p> <p>Maternal Aboriginal status was under-ascertained in both the MDC and RBDM. The ASV significantly increased ascertainment of Aboriginal women giving birth and decreased the number of missing cases. The proportion of births to Aboriginal mothers in the non-registered birth group was significantly higher than in the registered group.</p> <p>Conclusions</p> <p>Linking birth data collections is a feasible method to improve the statistical ascertainment of Aboriginal women giving birth in NSW. This has ramifications for the ascertainment of babies of Aboriginal mothers and the targeting of appropriate services in pregnancy and early childhood.</p

The International Limits and Population at Risk of Plasmodium vivax Transmission in 2009

Growing evidence shows that Plasmodium vivax malaria is clinically less benign than has been commonly believed. In addition, it is the most widely distributed species of human malaria and is likely to cause more illness in certain regions than the more extensively studied P. falciparum malaria. Understanding where P. vivax transmission exists and measuring the number of people who live at risk of infection is a fundamental first step to estimating the global disease toll. The aim of this paper is to generate a reliable map of the worldwide distribution of this parasite and to provide an estimate of how many people are exposed to probable infection. A geographical information system was used to map data on the presence of P. vivax infection and spatial information on climatic conditions that impede transmission (low ambient temperature and extremely arid environments) in order to delineate areas where transmission was unlikely to take place. This map was combined with population distribution data to estimate how many people live in these areas and are, therefore, exposed to risk of infection by P. vivax malaria. The results show that 2.85 billion people were exposed to some level of risk of transmission in 2009

Adult Optic Neuritis (Video)

LEARNING OBJECTIVES: 1. Describe the clinical characteristics and outcomes of optic neuritis in adults. 2. Explain the natural history of optic neuritis (and the associated risk of multiple sclerosis), based on data from the Optic Neuritis Treatment Trial (ONTT), the Longitudinal Optic Neuritis Study (LONS) and others. 3. Interpret the outcomes associated with anti-aquaporin-4 and anti-myelin oligodendrocyte glycoprotein antibody positivity in adult optic neuritis.KBDidiopathicopticneuriti

Adult Optic Neuritis (Abstract)

LEARNING OBJECTIVES: 1. Describe the clinical characteristics and outcomes of optic neuritis in adults. 2. Explain the natural history of optic neuritis (and the associated risk of multiple sclerosis), based on data from the Optic Neuritis Treatment Trial (ONTT), the Longitudinal Optic Neuritis Study (LONS) and others. 3. Interpret the outcomes associated with anti-aquaporin-4 and anti-myelin oligodendrocyte glycoprotein antibody positivity in adult optic neuritis.KBDidiopathicopticneuriti

Surveillance of dengue fever virus: A review of epidemiological models and early warning systems

Dengue fever is one of the world’s most important vector-borne diseases. The transmission area of this disease continues to expand due to many factors including urban sprawl, increased travel and global warming. Current preventative techniques are primarily based on controlling mosquito vectors as other prophylactic measures, such as a tetravalent vaccine are unlikely to be available in the foreseeable future. However, the continually increasing dengue incidence suggests that this strategy alone is not sufficient. Epidemiological models attempt to predict future outbreaks using information on the risk factors of the disease. Through a systematic literature review, this paper aims at analyzing the different modeling methods and their outputs in terms of accurately predicting disease outbreaks. We found that many previous studies have not sufficiently accounted for the spatio-temporal features of the disease in the modeling process. Yet with advances in technology, the ability to incorporate such information as well as the socio-environmental aspect allowed for its use as an early warning system, albeit limited geographically to a local scale