Building Electronic Disease Surveillance Capacity in the Peruvian Navy with SAGES

In the past 15 years, public health surveillance has undergone a revolution driven by advances in information technology (IT) with vast improvements in the collection, analysis, visualization, and reporting of health data. Mobile technologies and open source software have played a key role in advancing surveillance techniques, particularly in resource-limited settings. Johns Hopkins University Applied Physics Laboratory (JHU/APL) is an internationally recognized leader in the area of electronic disease surveillance.

June 18, 2019

Large Scale Mobile Medical Service Programme: Data Insights for strengthening local surveillance

India has an Integrated Disease Surveillance project that reports key communicable and infectious diseases at the district and sub-district level. However, recent reviews suggest structural and functional deficiencies resulting in poor data quality [1]. Hence evidence-based actions are often delayed. Piramal Swasthya in collaboration with Government of Andhra Pradesh launched a mobile medical unit (MMU) programme in 2016.

June 18, 2019

Camera-based, mobile disease surveillance using Convolutional Neural Networks

Infectious diseases present with multifarious factors requiring several efforts to detect, prevent, and break the chain of transmission. Recently, machine learning has shown to be promising for automated surveillance leading to rapid and early interventions, and extraction of phenotypic features of human faces. In addition, mobile devices have become a promising tool to provide on-the-ground surveillance, especially in remote areas and geolocation mapping.

June 18, 2019

Lessons Learned from an Extreme Heat Event using ACES for Situational Awareness, Ontario, Canada

The Acute Care Enhanced Surveillance (ACES) system provides syndromic surveillance for Ontario's acute care hospitals. ACES receives over 99% of acute care records for emergency department (ED) visits; mean daily volume is 17,500 visits.

June 18, 2019

Data Science, Analytics and Collaboration for a Biosurveillance Ecosystem

After the 2009 H1N1 pandemic, the Assistant Secretary of Defense for Nuclear, Chemical and Biological Defense indicated œbiodefense would include emerging infectious disease. In response, DTRA launched an initiative for an innovative, rapidly emerging capability to enable real-time biosurveillance for early warning and course of action analysis. Through competitive prototyping, DTRA selected Digital Infuzion to develop the platform and next generation analytics.

June 18, 2019

Monitoring of Anthrax Prevalence in Georgia 2009-2017

Anthrax is an acute infectious disease of historical importance caused by Bacillus anthracis (B. anthracis), a spore-forming, soil-borne bacterium with a remarkable ability to persist in the environment. Anthrax is endemic in many countries, including Georgia. Laboratory of the Ministry of Agriculture (LMA) has been actively working on the disease science 1907 and constantly improving diagnostics. In 2009-2017 the laboratory participated in cooperative biological studies.

June 18, 2019

Development of a Recurrent Neural Network Model for Prediction of Dengue Importation

In recent years, mosquito-borne diseases such as Zika, chikungunya, and dengue have become particularly problematic due to global climate change. Rising temperatures and changes in precipitation are considered to be associated with habitat suitability of mosquito vectors and viruses. To address such cross-border infectious diseases, countries have come up with various strategies to control and manage mosquito-borne diseases. In line with this, international efforts have been made to minimize the burden of global infectious diseases.

June 18, 2019

National Surveillance for Health-Related Workplace Absenteeism, United States 2017-18

During an influenza pandemic, when hospitals and doctors'™ offices are or are perceived to be overwhelmed, many ill people may not seek medical care. People may also avoid medical facilities due to fear of contracting influenza or transmitting it to others. Therefore, syndromic methods for monitoring illness outside of health care settings are important adjuncts to traditional disease reporting. Monitoring absenteeism trends in schools and workplaces provide the archetypal examples for such approaches.

June 18, 2019

Disease Surveillance System of Bangladesh: Combating Public Health Emergencies

Disease surveillance is an integral part of public health system. It is an epidemiological method for monitoring disease patterns and trends. International Health Regulation (IHR) 2005 obligates WHO member countries to develop an effective disease surveillance system. Bangladesh is a signatory to IHR 2005. Institute of Epidemiology, Disease Control and Research (IEDCR ) is the mandated institute for surveillance and outbreak response on behalf of Government of the People's Republic of Bangladesh.

June 18, 2019

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