101,921 research outputs found

    Critical illness due to 2009 A/H1N1 influenza in pregnant and postpartum women: population based cohort study

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    OBJECTIVE To describe the epidemiology of 2009 A/H1N1 influenza in critically ill pregnant women. DESIGN Population based cohort study. SETTING All intensive care units in Australia and New Zealand. PARTICIPANTS All women with 2009 H1N1 influenza who were pregnant or recently post partum and admitted to an intensive care unit in Australia or New Zealand between 1 June and 31 August 2009. MAIN OUTCOME MEASURES Maternal and neonatal mortality and morbidity. RESULTS 64 pregnant or postpartum women admitted to an intensive care unit had confirmed 2009 H1N1 influenza. Compared with non-pregnant women of childbearing age, pregnant or postpartum women with 2009 H1N1 influenza were at increased risk of admission to an intensive care unit (relative risk 7.4, 95% confidence interval 5.5 to 10.0). This risk was 13-fold greater (13.2, 9.6 to 18.3) for women at 20 or more weeks' gestation. At the time of admission to an intensive care unit, 22 women (34%) were post partum and two had miscarried. 14 women (22%) gave birth during their stay in intensive care and 26 (41%) were discharged from an intensive care unit with ongoing pregnancy. All subsequently delivered. 44 women (69%) were mechanically ventilated. Of these, nine (14%) were treated with extracorporeal membrane oxygenation. Seven women (11%) died. Of 60 births after 20 weeks' gestation, four were stillbirths and three were infant deaths. 22 (39%) of the liveborn babies were preterm and 32 (57%) were admitted to a neonatal intensive care unit. Of 20 babies tested, two were positive for the 2009 H1N1 virus. CONCLUSIONS Pregnancy is a risk factor for critical illness related to 2009 H1N1 influenza, which causes maternal and neonatal morbidity and mortality.The ANZIC Influenza Investigators registry is supported by the Department of Health and Ageing, Commonwealth Government of Australia; New South Wales Health, Government of New South Wales; Department of Health, Government of Victoria; the Australian and New Zealand Intensive Care Research Centre; the Australian and New Zealand Intensive Care Society; and an unrestricted grant from CSL, Melbourne, Victoria. The Australasian Maternity Outcomes Surveillance System is supported by National Health and Medical Research Council (Australia) project grant, No 510298

    Aplikasi Security Surveillance System Menggunakan Webcam Dan HP Dengan Fasilitas General Packet Radio Services Dan MMS

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    Mobile phone has changed from an ordinary telecommunication device into a multi-purpose device with various capabilities. Besides working as a communication device, a mobile phone can also be used as a internet connection (via GPRS) and a picture sender and receiver (via MMS). In this research, we will develop a Security Surveillance System which enables the user to monitor condition from a room from a long distance. This security surveillance system use webcam and will send an MMS to the user automatically, if a motion is detected. This system is implemented using Visual Basic and Java programming languages. According to our test results, we conclude that this Security Surveillance System running well. But system using GPRS and MMS still not suitable to be implemented in Indonesia. This is due to the poor network infrastructure of the GPRS and MMS services in Indonesia. In the future, if the infrastructure of the GPRS and MMS services in Indonesia is working properly, this system is quite reliable as security surveillance system

    Real-time Surveillance System Menggunakan Pencocokan Pola Metode Jaccard

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      There are a lot of kinds of crime from low to high level as long as there is a chance. The police department in every country has tried to decrease crime's number, but in fact, the crime's number always grows every year. Instead of catching the criminal, we can minimize the crime by lowering the opportunity of criminal's action. For example, we can add a security device to protect our assets. We proposed the system to detect if there is someone entering the room by comparing pattern every couple of time. There are many pattern matching techniques, but the simple one is by counting its distance using Jaccard Method. If there is a different pattern from previous pattern that caught by a webcam, the system will create an alarm (sound and symbols). For these purpose, we use a capture application whose ability to capture an image periodically and the system that compare every image from previous capture. Testing result has shown that our proposed system could detect every people that come to the area of our webcam.   Keywords: Surveillance, Pattern Matching, Jaccar

    The new automated daily mortality surveillance system

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    The experience reported in an earlier Eurosurveillance issue on a fast method to evaluate the impact of the 2003 heatwave on mortality in Portugal, generated a daily mortality surveillance system (VDM) that has been operating ever since jointly with the Portuguese Heat Health Watch Warning System. This work describes the VDM system and how it evolved to become an automated system operating year-round, and shows briefly its potential using mortality data from January 2006 to June 2009 collected by the system itself. The new system has important advantages such as: rapid information acquisition, completeness (the entire population is included), lightness (very little information is exchanged, date of death, age, sex, place of death registration). It allows rapid detection of impacts (within five days) and allows a quick preliminary quantification of impacts that usually took several years to be done. These characteristics make this system a powerful tool for public health action. The VDM system also represents an example of inter-institutional cooperation, bringing together organisations from two different ministries, Health and Justice, aiming at improving knowledge about the mortality in the population

    Monitoring the introduction of pneumococcal conjugate vaccines into West Africa: design and implementation of a population-based surveillance system.

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    Routine use of pneumococcal conjugate vaccines (PCVs) in developing countries is expected to lead to a significant reduction in childhood deaths. However, PCVs have been associated with replacement disease with non-vaccine serotypes. We established a population-based surveillance system to document the direct and indirect impact of PCVs on the incidence of invasive pneumococcal disease (IPD) and radiological pneumonia in those aged 2 months and older in The Gambia, and to monitor changes in serotype-specific IPD. Here we describe how this surveillance system was set up and is being operated as a partnership between the Medical Research Council Unit and the Gambian Government. This surveillance system is expected to provide crucial information for immunisation policy and serves as a potential model for those introducing routine PCV vaccination in diverse settings

    SURVEILLANCE SYSTEM

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    Disturbed by the gruesome terror attacks in the country, including the one at “Taj Hotel” in Mumbai forced us to develop a product which enforces to capture the terrorist and ensures civilian’s safety without having any use of ammunition, arms or any life loss. The system works with sensors attached on window panes of a building where surveillance is to be made. These sensors are then connected to a heating element and CCTV cameras. When the sensors are activated from a distance with a laser beam, the heating element spew chemicals on the terrorists to make them unconscious and the cameras start automatically

    Profile: The Kilifi Health and Demographic Surveillance System (KHDSS).

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    The Kilifi Health and Demographic Surveillance System (KHDSS), located on the Indian Ocean coast of Kenya, was established in 2000 as a record of births, pregnancies, migration events and deaths and is maintained by 4-monthly household visits. The study area was selected to capture the majority of patients admitted to Kilifi District Hospital. The KHDSS has 260 000 residents and the hospital admits 4400 paediatric patients and 3400 adult patients per year. At the hospital, morbidity events are linked in real time by a computer search of the population register. Linked surveillance was extended to KHDSS vaccine clinics in 2008. KHDSS data have been used to define the incidence of hospital presentation with childhood infectious diseases (e.g. rotavirus diarrhoea, pneumococcal disease), to test the association between genetic risk factors (e.g. thalassaemia and sickle cell disease) and infectious diseases, to define the community prevalence of chronic diseases (e.g. epilepsy), to evaluate access to health care and to calculate the operational effectiveness of major public health interventions (e.g. conjugate Haemophilus influenzae type b vaccine). Rapport with residents is maintained through an active programme of community engagement. A system of collaborative engagement exists for sharing data on survival, morbidity, socio-economic status and vaccine coverage
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