Altarum partner to enhance the Michigan Disease Surveillance System

2006 ◽  
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Disease Surveillance System

Incidence of acute myocardial infarction in the workforce: Findings from the Occupational Disease Surveillance System

2021 ◽  
Vol 64 (5) ◽  
pp. 338-357
Author(s):  
Natalie Troke ◽  
Chloë Logar‐Henderson ◽  
Nathan DeBono ◽  
Mamadou Dakouo ◽  
Selena Hussain ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Occupational Disease ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Disease Surveillance System

Disease Surveillance System for Big Climate Data Processing and Dengue Transmission

2017 ◽  
Vol 8 (2) ◽  
pp. 88-105 ◽  
Author(s):  
Gunasekaran Manogaran ◽  
Daphne Lopez
Keyword(s):  
Climate Change ◽  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Sensor Data ◽  
Climate Data ◽  
The Real ◽  
Disease Surveillance System

Ambient intelligence is an emerging platform that provides advances in sensors and sensor networks, pervasive computing, and artificial intelligence to capture the real time climate data. This result continuously generates several exabytes of unstructured sensor data and so it is often called big climate data. Nowadays, researchers are trying to use big climate data to monitor and predict the climate change and possible diseases. Traditional data processing techniques and tools are not capable of handling such huge amount of climate data. Hence, there is a need to develop advanced big data architecture for processing the real time climate data. The purpose of this paper is to propose a big data based surveillance system that analyzes spatial climate big data and performs continuous monitoring of correlation between climate change and Dengue. Proposed disease surveillance system has been implemented with the help of Apache Hadoop MapReduce and its supporting tools.

scholarly journals Assessment of the core and support functions of the Integrated Disease Surveillance system in Maharashtra, India

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Revati K Phalkey ◽  
Sharvari Shukla ◽  
Savita Shardul ◽  
Nutan Ashtekar ◽  
Sapna Valsa ◽  
...  
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Support Functions ◽  
The Core ◽  
Disease Surveillance System

scholarly journals Australian National Enterovirus Reference Laboratory annual report, 2017

2020 ◽  
Vol 44 ◽  
Author(s):  
Jason A Roberts ◽  
Linda K Hobday ◽  
Aishah Ibrahim ◽  
Bruce R Thorley
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Performance Criterion ◽  
World Health ◽  
Reference Laboratory ◽  
Surveillance Systems ◽  
Disease Surveillance System ◽  
Enterovirus A71 ◽  
Clinical Surveillance ◽  
Health Organization

Australia monitors its polio-free status by conducting surveillance for cases of acute flaccid paralysis (AFP) in children less than 15 years of age, as recommended by the World Health Organization (WHO). Cases of AFP in children are notified to the Australian Paediatric Surveillance Unit or the Paediatric Active Enhanced Disease Surveillance System and faecal specimens are referred for virological investigation to the National Enterovirus Reference Laboratory. In 2017, no cases of poliomyelitis were reported from clinical surveillance and Australia reported 1.33 non-polio AFP cases per 100,000 children, meeting the WHO performance criterion for a sensitive surveillance system. Three non-polio enteroviruses, coxsackievirus B1, echovirus 11 and enterovirus A71, were identified from clinical specimens collected from AFP cases. Australia established enterovirus and environmental surveillance systems to complement the clinical system focussed on children and an ambiguous vaccine-derived poliovirus type 2 was isolated from sewage in Melbourne. In 2017, 22 cases of wild polio were reported with three countries remaining endemic: Afghanistan, Nigeria and Pakistan.

scholarly journals Early transmission dynamics of SARS-CoV-2 in Indonesia

2021 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Mudatsir Mudatsir ◽  
Synat Keam ◽  
Wira Winardi ◽  
Amanda Yufika ◽  
Ali A. Rabaan ◽  
...  
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Capital City ◽  
Transmission Dynamics ◽  
Disease Surveillance System ◽  
First Case ◽  
Directorate General ◽  
The Government ◽  
And Control ◽  
Importation Risk

The objective of this study was to determine the transmission dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and to evaluate the vigilance of the health system during the early phase of coronavirus disease 2019 (COVID-19) outbreak in Indonesia. The early epidemiology and transmission chains of COVID-19 were analyzed based on data from the Directorate General of Disease Prevention and Control of the Indonesian Ministry of Health. The results of this study shown although Indonesia is a country with a high relative importation risk of SARS-CoV-2, the first two cases of COVID-19 were identified on March 2, 2020. This relatively late date by regional standards raises the possibility of undetected cases beforehand. The first case was a foreigner citizen who visited the capital city of Jakarta and later was diagnosed COVID-19 after returning from Indonesia. One week later after the first case, 27 confirmed COVID-19 cases had been reported in Indonesia, and the majority of the cases were clustered together. Apart from the possibility of underdetection of COVID-19 cases in the country, the government has strengthened the disease surveillance system and established an outbreak preparedness system to diagnose and control COVID-19. 

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