Press - November 10, 2017

Champions and super users: the health workers behind BID’s success

Ona is partnering with PATH and the Zambian Ministry of Health and local technology partner, BlueCode, to adapt OpenSRP to the vaccination workflows of health workers in Zambia’s Southern Province. We wrote earlier this year about the project, which is in support of the Better Immunization Data (BID) Initiative. We are excited to repost this article

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Resources - October 10, 2017

New Feature: Merging Multiple Datasets Into One

Merging datasets is a new feature that lets you combine multiple datasets from different forms into a single dataset. When datasets are merged, data from 2+ parent datasets are combined and the child merged dataset gets updated whenever changes occur in the parent datasets. Viewing data in merged datasets is similar to other datasets, allowing

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Tech - October 06, 2017

Introduction To Data Scraping With Python

Last Thursday, Kelvin gave a talk at PyconKE 2017 titled “Introduction to Scraping using Python”. This was a beginner-level introduction that used three cool Python libraries: beautiful soup mechanize argparse In the talk, I demonstrated how to use these libraries to programmatically access the Kenya Power & Lighting Company’s website and automatically fetch a monthly power bill.

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Resources - September 13, 2017

Dynamically Clean Shared Data with Filtered Datasets

A filtered dataset is a subset of submitted data that satisfies certain conditions set by the user. Filtered datasets are helpful when you need to share a dataset with other users, yet want to keep certain fields or records private that are repetitive, irrelevant or sensitive. Suppose you carried out a baseline survey on households

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Tech - August 30, 2017

Streaming Ona Data with NiFi, Kafka, Druid, and Superset

A common need across all our projects and partners’ projects is to build up-to-date indicators from stored data. We have built dashboards showing project progress and other stakeholder-relevant information in our malaria spraying project (mSpray), drought response monitoring project in Somalia, and electronic medical record system (OpenSRP). Currently we create indicators on an ad-hoc basis,

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Work - June 14, 2017

An inside look at Zambia’s new electronic immunization registry

The following was originally written for and posted on the BID Initiative blog. It provides an update on the Zambian electronic immunization registry we’re building with Path, which we introduced in a previous post. Photo: Ona. Zambia’s paper-based immunization reporting systems of the past, are time-intensive and often result in longer wait times for patients. Back in

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Work - May 08, 2017

New Help Site Launched

We are excited to announce our new help site, which makes finding answers faster with improved search functionality and article categories. The new site lets you vote on whether articles are helpful so we can improve the content. Please note, you may experience 404 errors if you use links to the old website — in that

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Press - May 05, 2017

Ona at the 2017 ICT4D Conference

Ona will be at the 2017 ICT4D Conference in Hyderabad on 15–16 May 2017. Erick Ngwiri, Director of Client Solutions, will be speaking about Empowering organizations worldwide with collective intelligence. His talk will focus on how Ona uses geospatial check-ins to improve the targeting and delivery of IRS malaria spraying in over 120,000 homes in

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Tech - April 24, 2017

Improve Sampling Accuracy with Weighted Random Selections

Every data collector eventually runs into this issue at some point — you know the makeup of your population as a whole, but you only have access to a small group that isn’t representative. For example, you know that as a whole, the population pizza topping preference for plain cheese:pepperonni is 1:1. However, you only have access

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Tech - March 31, 2017

Redirecting HTTP traffic while using AWS Target Groups

A few months ago we received a support query from a user who was unable to log in. We couldn’t replicate the issue and they weren’t able to work with us to get it fixed. We concluded that they were doing something unique and had ended up fixing it from their end somehow. Fast forward

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