Virtual edition

From September 1 - 17, BAO Systems hosted its 6th Annual DHIS2 Symposium. In light of the COVID-19 turmoil and with the health and well-being of the DHIS2 Community in mind, the Symposium was hosted virtually for the first time. We leveraged webinar streaming tools and developed our own DHIS2 Symposium application in collaboration with Cvent that hosts all the insightful content provided by this year’s speakers. The online format allowed an even broader audience to attend than ever before, and enabled us to spark conversation with a more diverse crowd.

The DHIS2 Symposium program spanned three calendar weeks and included over 50 hours of content for attendees to consume. The program featured plenary and breakout sessions, panel sessions, the Experts Lounge, optional DHIS2 training, as well as interactive sessions, Kahoot, and live polling. With 69 speakers, 8 sponsors, and 266 unique participants, this was our largest and most comprehensive DHIS2 Symposium to date.

Building community innovation to improve impact

The DHIS2 Symposium brings together representatives from global development agencies, governments, and NGOs with a shared vision of using data to drive decision making and impact. It is an opportunity to interact with peers and thought leaders in health systems strengthening, monitoring & evaluation, and analytics. Our two-day event will highlight how DHIS2 is being used in creative ways to solve common challenges in collecting, managing, visualizing, and most importantly, using data.

Why attend the DHIS2 Symposium?

  • Meet and network with other DHIS2 community members

  • Learn about the many diverse use cases of DHIS2 from over 30 different speakers

  • Hear lessons learnt and success stories

  • Expand your knowledge and find solutions to problems

  • Harness the energy of a like-minded community

  • Plenty of social and networking gatherings to expand your network of contacts

  • Come away with a better understanding of DHIS2 and how organizations are innovating in the use of DHIS2

  • Opportunities for collaboration with other DHIS2 users

Key stats from the last symposium


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2020 speakers

Adebusoye Anifalaje

BAO Systems

Alda Mahumana

Ministry of Health of Mozambique

Andrew Muhire

Rwanda Ministry of Health

Antoine Legrand

BAO Systems

Blake Hansen

BAO Systems

Branden Kornell

Abt Associates

Brian O'Donnell

Norwegian Institute of Public Health

Bwighane Clive Mwalwanda

Ministry of Health and Population - Malawi

Charles Waka


Chase Freeman

BAO Systems

Chris Purdy


Couper Turkewitz

BAO Systems

Daniel Messer


Elmarie Claasen


Farah Sbytte

UN Network-REACH

Frantz Peter Charles

DAI Global Health

Jaco Venter


Dr Jean Patrick Alfred

Unité d’Etudes et de Programmation du Ministère de la Santé Publique et de la Population - Haïti

Jeanne Chauffour

TB DIAH Project

Jillian Berkowitz

Abt Associates

John Beck

University of Alabama in Huntsville

Dr John Painter


Katherine Lew

BAO Systems

Knut Staring

University of Oslo

Lars Helge Øverland

University of Oslo

Lauren Theis

Clinton Health Access Initiative

Lilly Siems

Abt. Associates

Lungi Okoko


Dr Malangizo Mbewe

Ministry of Health and Population - Malawi

Marta Vila

University of Oslo

Matt Curran

BAO Systems

Maya Rao


Megan Kill

BAO Systems

Mike Bitok

Elizabeth Glaser Pediatric AIDS Foundation

Mike Frost

University of Oslo

Nicola Hobby

BAO Systems

Ntuthu Dhlamini


Ognen Plavevski


Omiel Patrick Okecho

University of Oslo

Pamod Amarakoon

HISP Sri Lanka

Patricia Mechael


Pradeep Kumar Thakur


Prosper Behumbiize

University of Oslo

Rebecca Potter

University of Oslo

Rodrigo Gramajo Rodriguez


Romain Oleknovitz


Romain Tohouri

John Snow, Inc. (JSI)

Sarah Searle

BAO Systems

Scott Jackson

BAO Systems

Scott Russpatrick

University of Oslo

Dr Sherri Bucher

Indiana University School of Medicine

Theo Gimenez

Abt Associates

Tim Harding

BAO Systems

Tyler Porth


Dr Vincent Shaw


Volodymyr Kondratenko

Ricker Lyman Robotic Company Inc.

Valerie Kerns

BAO Systems

Zeferino Saugene


Get to know our speakers


  1. Opening Remarks

    Nicola Hobby, BAO Systems

  2. DHIS2 for COVID-19 Response: Global Perspectives

    Pamod Amarakoon, HISP Sri Lanka
    Rebecca Potter, University of Oslo

    Description: UiO presents a global approach to accelerating case detection, situation reporting, active surveillance and response for COVID-19 by leveraging existing processes, networks, capacity and systems. Overarching lessons learned and paths forward are discussed based on the rapid development of COVID-19 metadata packages and implementation in 30 countries. Sri Lanka took the pioneering role in implementing DHIS2 for COVID-19 Surveillance. The lessons learned during customization of the DHIS2 in Sri Lanka during the initial few weeks of COVID-19 pandemic guided the development of generic metadata package for COVID-19 Surveillance by the University of Oslo which is used by many countries across the world. The Sri Lankan use case explored the possibility of moving a step ahead of traditional customization of DHIS2 by using it as a platform that is integrated with the existing elements of information architecture in the COVID-19 response.

  3. DHIS2 for COVID-19 Response: Local Innovations

    Zeferino Saugene, HISP Mozambique/Saudigitus
    Andrew Muhire, Rwanda MOH HMIS unit

    Description: Rwanda’s Ministry of Health shares its experience using DHIS2 Android to make their COVID-19 sample collection, reception and results distribution process entirely paperless from start to finish. Saudigitus (HISP Mozambique) responds to evolving demands of COVID-19 response in Lusophone Africa, including innovative DHIS2 web and mobile apps for registering suspected cases, sharing test results with patients and supporting health clearances at Points of Entry in Guinea Bissau.

  4. DHIS2 at the Center of your Digital Strategy

    Daniel Messer, Rodrigo Gramajo, and Andrea Novella, Population Services International (PSI)

    Description: The past months showed us how important Digital Consumer Powered Healthcare is. What is the role of DHIS2 in this new Digital Health universe. How can we strategically center DHIS2 around the tools the consumer already knows and has (e.g. Facebook, WhatsApp or common local tools). We present 3 use cases for alternative approaches in consumer powered healthcare around DHIS2.

  1. Kahoot

    Nicola Hobby, BAO Systems

  2. PMI Data Lakes and Predictive Analytics

    Lungi Okoko, USAID

    Description: USAID’s President’s Malaria Initiative is developing a data lake in order to prototype analytical approaches for becoming a more data-driven organization. Simultaneously, PMI has also established a new Quarterly Report requirement, wherein partner countries are requested to report malaria-related health data, disaggregated by month and by district, on a quarterly basis. PMI’s Malaria Data Integration and Visualization for Eradication (M-DIVE) platform serves as a new tool for ingesting, housing, analyzing, and visualizing epidemiological, supply chain, financial, entomological, demographic, climate, and other data from various sources, including the monthly data reported from countries on a quarterly basis. M-DIVE platform is designed to integrate with and complement existing tools such as DHIS2. The goal is to turn the M-DIVE platform into an analytics tool that is useful for National Malaria Control Programs and other key partners in the malaria community.

  3. Developing Global Who Standards

    Anh Chu, WHO Department of Data and Analytics
    Patrick Omiel, HISP Uganda

    Description: An overview of the standardized WHO packages that have been created for aggregate and tracker data, with details on different programmatic areas including logistics and community health and current deployments.

  4. Having the Data is Half the Battle

    John Painter, CDC

    Description: CDC will present best practices for analyzing and reporting data from DHIS2. The session walks through the process of conducting a valid and meaningful analysis of malaria cases reported to DHIS2, beginning with appropriately documenting data selection, data munging, and time-series analysis.

  1. Data eXchange Platform: Connecting Data Systems to Facilitate HMIS Integration and Triangulation

    Tyler Porth, Unicef

    Description: The Data eXchange Platform (DXP) is a novel approach to data exchange and integration with the aim of integrating robust data from external data systems into HMIS to facilitate triangulation, data use and data quality checks in a systematic and sustainable way. To do this, an intermediary platform has been developed in DHIS2, which calls data from global databases, reshapes them into an HMIS-compatible data standard that can be imported into national HMIS, and customized to meet a range of national/subnational use cases. Once fully developed, this pathway will also provide a mechanism through which countries could report routine data to increase representation in the global database and potentially reduce the burden of routine global reporting. This session will present an overview of the DXP concept and approach, including practical use cases and applications, roadmap and current progress as well as plans for field testing and country implementation in 2020.

  2. Fully Integrated DHIS2-based M&E Platform - A Complex Use Case in the Democratic Republic of the Congo

    Romain Olekhnovitch, Bluesquare
    Christine Potts,
    Abt Associate

    Description: Abt Associates will present on the program and its aim. Bluesquare will provide a more technical perspective on how the needs have been addressed through DHIS2 and other tools.

    Technical level: Intermediate

  3. R Markdown for DHIS2 Interactive Reports and Advanced Analytics

    Brian O'Donnell, Norwegian Institute of Public Health

    Description: A tutorial session on leveraging R Markdown, Knitr, and the DHIS2 API for reproducible analysis of tracker datasets, with minimal programming knowledge and upkeep. This workflow has been used to analyze data from eRegistries MCH production systems and share the results within global teams. The method would be useful for NGOs looking to create interactive, routine reports based on a local partner's DHIS2 instance, without needing direct access to the underlying data source.

    Technical level: Technical

  4. Tracker Implementation

    Mike Frost and Prosper Behumbiize, University of Oslo

    Description: The UiO presents on best practices surrounding national tracker implementations including key considerations around security, hardware, training and other issues based on field experiences.

  1. DHIS2 for Supply Chain

    Scott Russpatrick, University of Oslo

    Description: DHIS2 is being deployed as last-mile logistics management in numerous countries, and the University of Oslo is developing a logistics roadmap and metadata packages. Come and find out how DHIS2 can address supply chain data capture and monitoring.

  2. Panel: Integrating Upstream Data Collection Tools with DHIS2: CommCare, KoBo, ODK, g-Sheet

    Carolyn Vopelak, Pact
    Blake Erhardt-Ohren,
    Sarah Searle,
    BAO Systems
    Charles Waka,

    Description: Integration of primary data collection tools with DHIS2 enables programs to conduct more holistic data analysis. In this session, BAO Systems, Jhpiego, Pact, and Pathfinder will present their reasons for wanting DHIS2 integration, approaches to facilitating upstream integration, and how these integrated datasets have improved analysis and decision making.

  3. Panel: DHIS2 to Analytics Platform: Abt Associates and BAO Systems Use Case (Panel session)

    Katherine Lew and Lars Helge Overland, BAO Systems
    Branden Kornell and Theo Gimenez,
    Abt Associates

    Description: While DHIS2 is a robust platform, many organizations face the challenge of growing analysis needs beyond what is housed in their core DHIS2 systems. BAO Systems’ Analytics Platform addresses these needs by enabling: ingestion of multiple and varied datasets and data formats (including DHIS2); warehousing of integrated datasets; and data analysis and visualization in multiple BI tools. Our Analytics Platform provides the foundation for advancing analytics within PEPFAR as well as for our partners. Abt Associates recognizes that modern analytics and data science requires both a highly skilled, multi-faceted team and a robust platform. Abt Associate’s people and tools support a wide range of data collection and integration, quantitative, qualitative, geospatial, and visualization needs and work using classic analytic and modern data science techniques.

  4. Vers la mise en place d'un Système d'Information Sanitaire National Unique (SISNU) en Haïti (Session is in French)

    Dr. Jean Patrick Alfred, Unité d’Etudes et de Programmation du Ministère de la Santé Publique et de la Population - Haïti

    Description: Since September 2015 the Ministry of Health (MSPP) wants to equip Haiti with a unique information system whose vision revolves around a coordinated, articulated and integrated national information system having as guiding principles; Consistency, completeness, efficiency and usefulness while respecting the existing link between the architecture of the health information system and the organization and coordination of health services. This information system is based on 3 main pillars: 1) Service Statistics; 2) Epidemiological Surveillance; and 3) Resource Statistics.

  1. A Data Quality Measurement Approach

    Antoine Legrand, BAO Systems

    Description: In this session we will present an original approach to measure data quality on routine. We will focus on how we can measure the internal completeness of a data set by counting the number of missing and zero values, how we can leverage the validation rules to assess the consistency of the data and how we use the Hampel filter to identify outliers. This approach can be applied to a data set orto a data element group and all the results are available as data elements.

  2. The SUN PMT - Using DHIS2 to advance data-driven nutrition decision-making at subnational level

    Farah Sbytte, UN Network-REACH

    Description: During the presentation, the UNN mapping team will present the DHIS2 SUN PMT tool and how it has been used differently by countries, looking at its main value in terms of data-driven nutrition decision-making at subnational level. Country dashboards with coverage, presence and contribution of donors at different geographic levels will also be showcased. Furthermore, the preliminary results of the two new features planned to be piloted early 2020 (digital data collection and financial analysis module) will be presented.

    Technical Level: Intermediate

  3. Using DHIS2 to Develop a One Health Platform in Burkina Faso

    Romain Tohouri and Jeanne Chauffour, John Snow, Inc.

    Description: MEASURE Evaluation began its work in Burkina Faso in March 2018 under the global health security agenda. In the aftermath of Ebola and other highly pathogenic infectious diseases and zoonoses that have plagued West Africa, USAID’s priority was to strengthen the electronic health information system to include routine data on priority zoonoses that could affect humans, animals, and the environment. A result of this multisectoral coalition is the One Health electronic platform, which provides real-time data on unusual events and suspected cases to central-level directorates, laboratories, and the Center for Health Emergency Response Operations (CORUS). Use of the platform in the Center-South and Central Plateau regions, enables notification of suspected cases in real time.

    Technical Level: Intermediate

  4. Increasing Access to Improved Sanitation Through Real-time DHIS2 Analytics and Mobile Reporting in Benin

    Rodrigo Gramajo Rodriguez, PSI

    Description: In a country where 50% of the population lives on less than $2 per day and only 13% live in households with improved non-shared toilet facilities, improving access to improved sanitation requires strategic selection of latrine points of sale and strong real-time monitoring of Oeld staff. PSI and implementing partner, Association Béninoise pour le Marketing Social et la Communication pour la Santé (ABMS), will discuss how they increased sales of sanitation products by 143% within 3 months and used the DHIS2 Maps and Android Capture apps to strategically select new points of sale, monitor sales performance, and strengthen data quality.

    Technical Level: Intermediate

  5. Mobile Helping Babies Survive (mHBS/DHIS2): Using the DHIS2 Platform to Educate, Train, and Empower Health Care Workers to Save Newborn Lives

    Dr Sherri Bucher, Indiana University School of Medicine

    Description: Newborn mortality is an urgent global health challenge; each year, around 2.5 million babies die within the first month of life. Most newborn deaths are preventable, but require that health care providers – particularly in low/middle-income countries (LMICs) – are equipped to recognize and manage newborn complications. Our multidisciplinary, international team has developed a suite of open-source, DHIS2-integrated digital health tools for LMIC health care providers called mobile Helping Babies Survive powered by DHIS2 (mHBS/DHIS2). mHBS/DHIS2 supports offline functions related to education, training, decision support, quality improvement, monitoring, and evaluation. mHBS/DHIS2 recently completed a field trial in Nigeria and Kenya among 230+ nurses/midwives from 18 health facilities. Attendees will learn more about the design, development, and evaluation of mHBS/DHIS2, as well as our vision for sustainable global scale-up.

  1. DHIS2 Training - Event & Tracker Analytics

    Facilitators: Megan Kill, Chase Freeman, and Busoye Anifalaje (BAO Systems)

    (This training is Optional and only for Training ticket holders)

  1. DHIS2 for Education

    Knut Staring, WHO Collaborating Center at University of Oslo 
    Prosper Behumbiize, University of Oslo

    Description: DHIS2 is being deployed in three countries and many projects for school monitoring and surveillance and for forming national education management information systems, in addition the University of Oslo is partnering with UNESCO on global education metadata standards. This session will cover the suitability of DHIS2 for education and highlight current use cases.

  2. Assessing the Impact of DHIS2 on Immunization Programming

    Patricia Mechael, HealthEnabled

    Description:  In this session, we will present some recent findings from an assessment of the use of DHIS2 for immunization programming in Africa along with a research design and approach for more rigorous assessment of prioritized immunization outcomes and impact.

    Technical level:  Intermediate

  3. Integrating NASA Earth Observations into DHIS2 for Analysis and Malaria Control Decision Support

    John Beck, University of Alabama in Huntsville

    Description: Researchers at the University of Alabama in Huntsville (UAH), the Centers for Disease Control and Prevention (CDC), and the National Aeronautics and Space Administration (NASA) are working to improve malaria control decision making in sub-Saharan Africa by developing and deploying technology supporting the incorporation of NASA Earth observations for surface temperatures, precipitation, andvegetation health into DHIS2.

    Technical level: Not technical

  4. The BAO Box: Onsite Deployment of DHIS2 on Hivecell Edge PaaS

    Volodymyr Kondratenko, Hivecell

    Description: BAO and Hivecell will demonstrate a platform as a service (PaaS) for running DHIS2 onsite at hospitals and clinics. Hivecell is a low energy, high available server that requires no technical expertise to install and no special infrastructure to run. DHIS2 is automatically installed, updated, monitored and maintained on the Hivecell. Users have cloud-like performance without the frustration of latency or network interruptions.

    Technical level: Intermediate

  5. iOS & Android Offline Field Data Collection for DHIS2

    Valerie Kerns, BAO Systems

    Description: In this session we will demonstrate how organizations can leverage the Dharma Platform/DHIS2 integration to create meaningful visualizations and drive decisions based on field level data. Organizations will see how easy it is to collect data on any mobile device on or offline and then once synced to the cloud how to visualize the data in DHIS2.

    Technical level: Intermediate

  1. Panel: Expanding Tracker to Improve Community Level Health Care Access: Haiti, South Africa, Nepal

    Frantz Peter Charles, DAI Global Health
    Pradeep Kumar Thakur, FHI360
    Vincent Shaw and Ntuthu Dhlamini,

    Description: Implementation of DHIS2 Tracker has led to demonstrated improvements in health outcomes. Through DAI’s Haiti Strategic Health Information System (HIS) project, the launch of the TB tracker in January 2018 has led to increases in the number of reported TB cases and identification of their contacts. FHI 360 Nepal’s implementation of Tracker combined with program monitoring dashboards led to an increase in project achievement by 156% during October 2018 – September 2019 in the comparison with previous year. The Ministry of Health and Population of Nepal is planning to replicate this as one HIV Information System in Nepal beginning in April 2020. HISP-SA will demonstrate how Tracker can assist with the complex data flow between households, facilities, and healthcare workers. Piloting of the app has shown a positive uptake by health workers as well as improvements in data quality, timely reporting, and health outcomes.

  2. Large Scale, Quick Turnaround: Verifying & Using Data in DHIS2 With an Emphasis on Timeliness

    Lilly Siems and Jillian Berkowitz, Abt. Associates

    Description: Your team has thirty days to reach 500,000 households with a life-saving intervention – how can you ensure that your program is on track? We will explore examples from PMI VectorLink countries where data are used for real-time decision-making to guide Indoor Residual Spraying (IRS) campaigns for malaria prevention. We will discuss how data are examined to understand implementation progress and coverage at a granular level for day-to-day operational decision-making using DHIS2. By integrating multiple data streams, we will demonstrate how we use built-in analytics to enhance data quality and investigate discrepancies in a timely manner to inform programmatic needs.

    Technical Level: Intermediate

  3. Using DHIS2 to Strengthen Coordination Among Humanitarian Actors for a Rapid Response Mechanism in Mali

    Maya Rao and Ognen Plavevski, CRS

    Description: In Mali, rapid response actors provide assistance to vulnerable households in food, shelter, WASH, health, and NFIs within 30 days of a crisis alert. When displacement occurs, focal points alert NGO actors who triangulate in collaboration with authorities and share the report with OCHA. NGOs with local partners then conduct rapid assessments to identify households’ priority needs and organize a response based on needs. Given the number of actors involved, information-sharing and communication is essential. Due to gaps in data on crisis alerts, humanitarian activities and lack of centralization of information, USAID/OFDA&FFP decided to fund a humanitarian information management platform.

    Technical Level: Not technical

  4. Applying Health System Interoperability Standards To Unlock Integrated Analytics for Evidence Based Decision Making

    Bwighane Clive Mwalwanda and Dr. Malangizo Mbewe, Ministry of Health and Population - Malawi

    Description: In this session we will share experiences and demonstrate the implementation of the national level interoperability architecture components including the Interoperability Layer, the Master Health Facility Registry, the Terminology Registry and present a case for exchange of data between one system with DHIS2.

    Technical level: Technical

  5. From Data Silos to Integrated Analytics

    Mike Bitok, Elizabeth Glaser Pediatric AIDS Foundation

    Description: In this session, we will describe challenges and solutions around gaining insights from multiple disconnected systems. We will demonstrate a real life problem of evaluating program management efficiencies that require the blending of program data in DHIS2 with day-to-day business management data. We will discuss our architecture approach and leave time for discussion and questions

    Technical level: Intermediate

  6. PEPFAR's Approach to Standardized Analytics Objects

    Couper Turkewitz and Tim Harding, BAO Systems

    Description: Use of native DHIS2 features and outside expertise to deploy large numbers of analytic objects quickly and accurately, with reproducibility.

  1. DHIS2 and Electronic Logistics Management Information System Integration for Improved Patient Care in Lao PDR

    Dr. Chansaly Phommavong and Lauren Theis, Lao PDR Ministry of Health

    Description: Patients in Lao PDR’s public health system face inconsistent access to essential commodities due to stock-out and expiry. These challenges are largely preventable when decision-makers can access timely, reliable, and appropriate logistics information. Though Lao PDR uses DHIS2 for integrated disease surveillance and management, vertical supply chain systems lead to incomplete data. In 2015, the Ministry of Health (MoH) implemented an electronic logistics management information system, mSupply, for all 187 central, provincial, and district warehouses. In 2019, the MoH integrated mSupply and DHIS2 to enable national disease program decision-makers to analyze critical logistics indicators within DHIS2 for improved patient outcomes.

  2. DHIS2 - What's New & What's Coming? 

    Lars Helge Overland and Marta Vila, UiO

    Description: The DHIS2 platform offers data warehousing, data visualization features, and the possibility for data users and policy makers to generate analyses from data in near real-time. In this session, you will learn about the newest DHIS2 features and apps, and what’s in store for the upcoming releases.

  3. Systems Interoperability in Nigeria: Improving Health Systems Through Integration of Financial Data

    Peter Ayodeji, JBRSOFT & RD-Integration

    Technical level: Not technical

  4. DHIS2 Data Science <> Science Fiction

    Elmarie Claasen and Jaco Venter, HISP South Africa

    Description: Data Science can be defined as the technical disciplines that solve business problems through the extraction of knowledge from data. In an increasingly competitive environment, organizations always need ways to become more competitive. This presentation demonstrates how DHIS2 provides the platform for developing applications leveraged in the data science field to perform predictive analytics and refining the accuracy of predictions through machine learning, taking DHIS2 into the next era of software.

    Technical level: Technical

  5. What it takes to use DHIS2 to Support Routine Decision-making and Improve Health Outcomes. Lessons from the Ministries of Health of Mozambique

    Leopoldina Massingue, Mozambique MoH

    Description: Alda Mahumana  will be presenting the approach taken to strengthen the use of DHIS2 data to support decision-making and improve outcomes of KeyPerformance Indicators (KPIs) related to Family Planning. Supported by PSI/Mozambique, the MoH of Mozambique’s journey to strengthen data use has seen: (i) the use of PSI's Data-to-Action (D2A) approach to capacitate M&E and Program staff to identify KPIs and develop DHIS2 visualizations and dashboards to sustain their daily decision-making process, and (ii) identification of barriers to data use that are not necessarily related to DHIS2 (ie. capacity building, coordination with other regulatory bodies or working groups from the government, etc) and proposed approaches to overcome those.

    Technical level: Intermediate

DHIS2 Tracker Analytics Training

September 10 2020

Today, DHIS2 is the world's largest Health Information Management System platform, in use by ministries of health in 72 low and middle-income countries. 2.3 billion people live in countries where DHIS2 is used (30% of the world's population).

Over recent years, the tracker data model has become a major focus of DHIS2 development, as there has been an increase in interest in collecting and using patient-level data. Are you considering using DHIS2 for Event and Tracker Programs and want to know more about how to view data using the apps that support their data visualization? Do you already have data in your DHIS2 instance that is collected using Event or Tracker Programs and you want to have a better understanding of the robust visualization features for these programs?

If you answered yes, then you won’t want to miss this 1-day DHIS2 virtual training course. With a mix of presentations, demonstrations, and hands on exercises, you will gain a deeper understanding of the comprehensive and powerful capabilities of event and tracker analytics supported in DHIS2 and how you can apply these capabilities to your own DHIS2 instance.

In this virtual training course, you will learn how to use native DHIS2 apps to visualize event and tracker data using the Event Reports, Event Visualizer, Maps, and Data Visualizer applications. Along the way, you will be taught all of the options available for viewing the data to suit your specific needs. 

The BAO DHIS2 virtual training has been designed to accommodate participation from low- and middle-income countries by removing significant barriers that restrict participation at traditional events, such as travel and cost barriers. This course will be taught by highly experienced DHIS2 experts who will be able to answer any question you may have.

Basic familiarity with DHIS2 is desirable but not essential

Target audience
This course is aimed at any user wanting to learn more about DHIS2 analytics for the individual event and tracker based model of DHIS2 to gain experience viewing data for programmatic decision making, reporting, and analysis. Target audience groups include, but are not limited to program managers, M&E staff, and donors.

1 day

Dr. Adebusoye Anifalaje
Chase Freeman
Tara Richards
Megan Kill

Register now

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DHIS2 - the Game

Have you ever wondered what it takes to configure a DHIS2 instance? Do you want to get to the top of the latest and greatest DHIS2 functionalities and improve your ability to create meaningful data analytics?

If you answered yes, you won’t want to miss this 2-day DHIS2 training course organized by BAO Systems.

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