Coconut Surveillance™ is open source software designed and tested by malaria experts to help eliminate malaria.
Multiple Modes
Supports passive case detection (cases reported by clinics), reactive case detection (RACD) at the household level, and active case detection (mass/focal screening and treatment.) It can be adapted to local response protocols and definitions.
Minimum Hardware
Runs on commonly available Android mobile devices, including low-cost smart phones and tablets.
Secure and Private
Stores data in encrypted form and encrypts data during transmission. Only authorized users have access to personally identifiable data. Conceals all personally identifiable data in exported files.
Automated Alerts
Uses SMS text messaging and email to alert the appropriate health worker, manager, or IT person immediately when new cases are reported, when epidemic thresholds are exceeded, or when system errors are detected.
Geo-located Case Data
Uses GPS to geo-locate malaria cases. Displays maps of case data in real time and over time, enabling managers to identify transmission hotspots to target response interventions precisely.
Mobile Decision Support
Advanced bi-directional data synchronization makes it possible to guide field workers based on current response protocols and transmission risk, collaborate on case response, transfer cases, and keep software updated.
Cloud or Local
Synchronizes with a shared cloud database or a privately hosted database. Store data securely in the cloud or on a local server.
Offline and Online
Allows users to create, access, and update case records offline and synchronize data over mobile phone networks, Wi-Fi hotspots, and portable routers when a connection is available.
Advanced Analytics
Includes advanced built-in reports, most that drill down to case detail, designed by malaria experts; generates routine reports automatically and distributes them to designated users via SMS and e-mail; enables users to export case data for analysis in other tools.
Follow-up Monitoring
Enables supervisors to monitor case response time and completeness as cases progress through the follow-up protocol. Analyzes the overall efficiency of field workers to help allocate resources effectively.
Detailed Case Data
Collects detailed case-level data from facilities, households, and individual household members. Supports WHO definitions for case travel history to track malaria importation.
Open Source
Published under the Apache License, Version 2.0 open source license. There are no licensing fees. All software source code is maintained in public code repositories on www.github.com.