scholarly journals Evaluation of Cholera and Other Diarrheal Disease Surveillance System, Niger State, Nigeria-2012

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Adebobola T. Bashorun ◽  
Anthony Ahumibe ◽  
Saliman Olugbon ◽  
Patrick Nguku ◽  
Kabir Sabitu
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Diarrheal Disease ◽  
Disease Surveillance System

scholarly journals Evaluating the sensitivity of a passive diarrheal disease surveillance system during a post-drought

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Nhlanhla Nhlabatsi ◽  
Vusie Lokotfwako ◽  
Phinda Khumalo ◽  
Siphiwe M. Shongwe-Gama ◽  
Maria Dlamini ◽  
...  
Keyword(s):  
Active Surveillance ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Diarrheal Disease ◽  
Watery Diarrhea ◽  
Health Management Information System ◽  
Passive Surveillance ◽  
Disease Surveillance System ◽  
Surveillance And Response ◽  
Acute Watery Diarrhea

ObjectiveTo evaluate the difference in sensitivity between passive and active diarrheal and malnutrition disease surveillance system post-drought period in SwazilandIntroductionOver the past decade Swaziland has experienced recurring drought episodes. In 2016 the country experienced challenges regarding water supplies in both urban and rural areas due to the drought impact. A rapid health and Nutrition Assessment was conducted in 2016 revealed an increase in number of cases of acute watery diarrhea of all age groups. While there is a high demand for epidemiological data in the country a passive system through Health Management Information System (HMIS) and Immediate Disease Notification System (IDNS) has been used to monitor acute watery diarrhea and a set of priority notifiable diseases in the country.MethodsAn active sentinel surveillance system was set up in four regional hospitals for monitoring of all diarrheal cases of the under-fives. A data abstraction form was developed and used to extract data from outpatient registers and inpatient mainly from the children’s ward over a period of 15 weeks. Two surveillance officers trained on Integrated Disease Surveillance and Response (IDSR) collected and analyzed on weekly basis and further compared with data from a passive surveillance system that included the HMIS and IDNS.ResultsWhile acute gastroenteritis was the most prevalent type of diarrheal disease (93%), about 35.5% (1788 in active surveillance vs 1147 passive surveillance) of the cases of diarrheal cases are being underreported in the passive surveillance. Similar observation was made on malnutrition with more than 51% of the cases not reported in passive surveillance (186 cases vs 91 cases).ConclusionsThe process exposed gaps in data collected for passive surveillance and also differing data standards indicating inconsistency and under reporting which may be misleading for public health purposes. Low sensitivity in terms missing cases within the passive surveillance was observed when comparing within the active surveillance sentinel sites. It was also noted that having multiple data sources poses challenges in the country as they provide varying diseases trends and burden estimate.References1. WHO. Integrated Disease Surveillance and Response

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.

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