2020-06-03

DHIS2 works in partnership with the World Health Organization (WHO) on a variety of initiatives. Since 2017, the Health Information Systems Programme (HISP) at the University of Oslo (which oversees the DHIS2 project) has been officially designated as a WHO Collaborating Centre for Innovation and Implementation Research on health system strengthening. One key aspect of our collaboration has been the creation of standardized data packages to strengthen data use on a national and international level.

The WHO digital data packages consist of DHIS2 metadata and tools to support adoption of WHO health data standards into national routine health management information systems. The packages are aligned with WHO’s public health curriculum available on who.int, and can be installed in standalone DHIS2 systems or integrated into existing DHIS2 instances.

The following types of WHO packages are currently available:

Analytics Package: Dashboards, data visualizations, standard indicators, and data use & analysis guidance. This package can be installed and mapped to inputs in a country’s existing routine programme or HMIS; or used in combination with an aggregate data collection package.

Aggregate data collection package: Data input forms, standard data elements and disaggregation to support the collection of aggregate data. Aggregate data input packages are assured to produce the indicators and dashboards included in the analytics package.

Tracker (individual-level) data packages: Individual-level data capture modules to enhance a patient-centered approach for program management. Tracker is used to uniquely identify and track a person or entity over time. These packages can be used to support clinical-level decision-making and generate highly granular data for enhanced analysis, while mapping to standard outputs in the analytics packages.

Global Adoption of WHO Packages

The metadata packages are accompanied by system design guides, installation manuals and digital end user training materials to support adoption and use in countries. Browse our interactive map below to learn more about how these packages have been deployed around the world.

Digital Data Packages by Health Program

DHIS2 has produced an array of different data packages and tools to support a variety of health programs. Click the menu items below to learn more.

EPI

HIV

Malaria

TB

RMNCAH

Cause of Death

COVID-19

IDSR

Data Quality

Expanded Program on Immunization (EPI)

DHIS2 Packages and Tools:

EPI Dashboard

EPI Aggregate

Immunization Analysis App

Read WHO guidance >>

HIV

DHIS2 Packages and Tools:

HIV Dashboard

HIV Aggregate

HIV Case Surveillance Tracker

Read WHO guidance >>

Malaria

DHIS2 Packages and Tools:

Malaria Burden Reduction Dashboard & Aggregate Package

Malaria Elimination Dashboard & Aggregate Package

Malaria Elimination Tracker

Cross-border, mobile, and migrant populations

Read WHO guidance >>

Tuberculosis (TB)

DHIS2 Packages and Tools:

TB Dashboard & Aggregate Data Collection

TB Case Surveillance Tracker

TB Drug Resistance Survey Tracker

Read WHO guidance >>

Reproductive, Maternal, Newborn, Child and Adolescent Health (RMNCAH)

DHIS2 Packages and Tools:

RMNCAH Dashboard & Aggregate Data Collection

Read WHO guidance >>

Mortality / Cause of Death

DHIS2 Packages and Tools:

Cause of Death Tracker

Read WHO guidance >>

COVID-19 Surveillance

DHIS2 Packages and Tools:

Case-Based Surveillance Tracker

Outbreak Line Listing (Event Tracker)

Aggregate Surveillance

Port of Entry Tracker

COVID-19 Commodities Tracker

Read WHO guidance >>

Integrated Disease Surveillance

DHIS2 Packages and Tools:

Dashboard & Aggregate VPD Surveillance Tool

Data Quality Review

DHIS2 Packages and Tools:

WHO Data Quality Tool

Read WHO guidance >>

Health Data Collaborative

The WHO digital data packages are supported by the Health Data Collaborative, a collaborative platform that leverages and aligns technical and financial resources (at all levels) to country owned strategies and plans for collecting, storing, analyzing and using data to improve health outcomes.

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