Background: Following the outbreak of chikungunya in the Indian Ocean, the Ministry of Health directed the necessary development of an early outbreak detection system. A disease surveillance team including the Institut Pasteur in Madagascar (IPM) was organized to establish a sentinel syndromic-based surveillance system. The system, which was set up in March 2007, transmits patient data on a daily basis from the various voluntary general practitioners throughout the six provinces of the country to the IPM. We describe the challenges and steps involved in developing a sentinel surveillance system and the well-timed information it provides for improving public health decision-making.

Methods: Surveillance was based on data collected from sentinel general practitioners (SGP). The SGPs report the sex, age, visit date and time, and symptoms of each new patient weekly, using forms addressed to the management team. However, the system is original in that SGPs also report data at least once a day, from Monday to Friday (number of fever cases, rapid test confirmed malaria, influenza, arboviral syndromes or diarrhoeal disease), by cellular telephone (encrypted message SMS). Information can also be validated by the management team, by mobile phone. This data transmission costs 120 ariary per day, less than US$1 per month.

Results: In 2008, the sentinel surveillance system included 13 health centers, and identified 5 outbreaks. Of the 218,849 visits to SGPs, 12.2% were related to fever syndromes. Of these 26,669 fever cases, 12.3% were related to Dengue-like fever, 11.1% to Influenza-like illness and 9.7% to malaria cases confirmed by a specific rapid diagnostic test.

Conclusion: The sentinel surveillance system represents the first nationwide real-time-like surveillance system ever established in Madagascar. Our findings should encourage other African countries to develop their own syndromic surveillance systems.Prompt detection of an outbreak of infectious disease may lead to control measures that limit its impact and help prevent future outbreaks.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823701PMC
http://dx.doi.org/10.1186/1471-2458-10-31DOI Listing

Publication Analysis

Top Keywords

surveillance system
24
sentinel surveillance
16
system
9
early outbreak
8
outbreak detection
8
surveillance
8
general practitioners
8
sgps report
8
management team
8
fever cases
8

Similar Publications

Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.

Data Description: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020.

View Article and Find Full Text PDF

Background: In England, 23% of children aged 11 start their teenage years living with obesity. An adolescent living with obesity is five times more likely to live with obesity in adult life. There is limited research and policy incorporating adolescents' views on how they experience the commercial determinants of dietary behaviour and obesity, which misses an opportunity to improve services and policies that aim to influence the prevalence of childhood obesity.

View Article and Find Full Text PDF

Background: The coronavirus disease 2019 (COVID-19) emergency has represented a profound upheaval in the dynamics of infectious diseases transmission worldwide. This phenomenon has been at least in part driven by the introduction of non-pharmaceutical interventions (NPIs), implemented to counteract viral transmission. Our study aimed to assess the magnitude and the features of the impact of the COVID-19 pandemic on the incidence of notifiable infectious diseases (NIDs) in the Lazio region, Italy.

View Article and Find Full Text PDF

Solu: a cloud platform for real-time genomic pathogen surveillance.

BMC Bioinformatics

January 2025

Solu Healthcare Oy, Kalevankatu 31 A 13, 00100, Helsinki, Finland.

Background: Genomic surveillance is extensively used for tracking public health outbreaks and healthcare-associated pathogens. Despite advancements in bioinformatics pipelines, there are still significant challenges in terms of infrastructure, expertise, and security when it comes to continuous surveillance. The existing pipelines often require the user to set up and manage their own infrastructure and are not designed for continuous surveillance that demands integration of new and regularly generated sequencing data with previous analyses.

View Article and Find Full Text PDF

Somatic mutation as an explanation for epigenetic aging.

Nat Aging

January 2025

Program in Bioinformatics and Systems Biology, University of California, San Diego, La Jolla, CA, USA.

DNA methylation marks have recently been used to build models known as epigenetic clocks, which predict calendar age. As methylation of cytosine promotes C-to-T mutations, we hypothesized that the methylation changes observed with age should reflect the accrual of somatic mutations, and the two should yield analogous aging estimates. In an analysis of multimodal data from 9,331 human individuals, we found that CpG mutations indeed coincide with changes in methylation, not only at the mutated site but with pervasive remodeling of the methylome out to ±10 kilobases.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!