Developing What Works Best
BID Learning Network
LearningSharingDeveloping What Works Best BID Learning Network

OUR
BELIEF

Better data,
plus better
decisions
will lead to
better health
outcomes.

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RECOMMENDATIONS
AND LESSONS LEARNED

Collaborating
to improve
data quality
and use.

See the BID Initiative briefs

BID
LEARNING
NETWORK

Celebrating progress
at the BLN Discussion
Meeting.

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OUR
VISION

Countries’
health services
are empowered
by improved
data collection,
quality and use.

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BID INITIATIVE
PHOTOS & VIDEOS

Get an inside
look at BID
in the field
and BLN
meetings.

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News From The
BID Learning Network

Oct 22, 2019

BLN/Gavi Data Quality and Use Collaborative Meeting Reports: Lusaka, 24-26 July 2019

The BID Learning Network (BLN)/Gavi Data Quality and Use (DQU) Collaborative convened a meeting between July 24-26, 2019 in Lusaka, Zambia. It was attended by 25 participants, including immunization data managers from Burkina Faso, Cameroon, Liberia, Malawi, Mozambique, The Gambia, Uganda, and Zambia. This post includes the full meeting reports, including French and English translations.

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Get Involved:
Participate

The BID Learning Network is your network. Get involved and help shape the outcome.

The BLN brings countries together to identify shared problems and test shared solutions that can be applied in a few countries and then deployed at scale in many.

Participate in the discussion

Community
News

Jan 27, 2020

In Congo’s Ebola zone, misinformation persists even as cases slow

Fighting the latest Ebola outbreak in the Democratic Republic of Congo has proven deadly – not only to aid responders who have suffered nearly 400 attacks since the outbreak began in 2018, but also to those fighting the spread of misinformation about the disease.

Jan 25, 2020

A data revolution for all

It has now been almost two decades since the original launch of DATA.org, a non-profit that marshaled $100 billion in debt forgiveness for poor countries, and another $50 billion in contributions for health and development. In a world with more data and data-science expertise than ever, it’s time to revive that innovative spirit.

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