We’re thrilled to celebrate a recent success with our long-time partner, the Kenyan Ministry of Health, in safely delivering Covid-19 vaccines. Since receiving a shipment of over 880,000 Moderna vaccines in August, the Ministry of Health has worked closely with our team to use Nexleaf sensors to monitor the vaccines as they travel from the […]
Nithya Ramanathan and Martin Lukac founded Nexleaf Analytics in 2009 because they understood that emerging technologies had the potential to revolutionize objective data-gathering throughout the world. With the right tools to operationalize real-time information, governments, researchers, multinationals, and philanthropists would be able to design more agile, responsive, and successful solutions to global problems. One of […]
Sistema.bio and Nexleaf Analytics came together to pilot an innovative range of technology and data solutions and offer insights that can help guide other clean cooking initiatives. Sistema.bio is a social enterprise that manufactures and distributes high-quality, affordable biodigesters that enable farmers to convert waste into energy and fertilizer. Nexleaf is a non-profit technology firm […]
One of the most prominent lessons we’ve learned from more than a decade of cookstove monitoring is that cooking is complex. The factors that go into the seemingly simple question of how a household will prepare a meal range from fuel price, forest conditions, fuel distribution infrastructure, income fluctuations, cooking habits, cultural norms, culinary requirements, […]
As we build, design, refine, and scale data-driven solutions to big problems in global health, opportunities to work closely with our country partners are critically important. Over the last four years, we’ve had the privilege to work alongside the Tanzania Ministry of Health and the President’s Office Regional Administration and Local Government (PO-RALG) as they […]
Over the last ten years, a recurring theme of our clean cooking work has been the need to define clean cookstove adoption based on measured stove usage rather than sales or ownership. There is far too much evidence of improved stoves falling into disuse for us to assume that distributing a clean stove will have […]
Nexleaf Analytics, the Center for Public Health and Development, and PagerDuty are partnering to bring better data on essential power for health clinics located in COVID-19 hotspots across Kenya. LOS ANGELES and NAIROBI, 9/30/2020 – Today, Nexleaf is launching a project in Nairobi, Kenya to monitor the power availability in health facilities within COVID hotspots. […]
When Subani Pradhan received a new stove February 2016, she looked at the stove with skepticism. She questioned whether she could cook her family recipes on this stove, and whether the foods would have the same rich, smoky flavors her husband liked so much. Her traditional stove, known as a mudstove, was the same type her mother used and the same type used throughout her community, and she wasn’t convinced this new one would satisfy her needs.
How do we ensure that vaccines are protected at the last mile?
The viability of a vaccine is threatened without proper storage at the last mile of its supply chain. Vaccines are sensitive, and must be kept at a temperature of between 2 °C and 8 °C. A recent WHO & UNICEF joint statement found that 56% of cold chain equipment in low- and middle-income countries (LMICs) is poorly functioning or non-functional. This means vaccines are produced, but at the last mile, they fail to reach babies and children, or worse, children receive impotent vaccines, leaving them unknowingly unprotected and exposed to illness.
This post is based on a real email conversation, but the numbers here have been changed. We believe this is an important conversation, and that the entire non-profit sector — as well as funders — might benefit from considering factors like the ones discussed below. Enjoy!
JESSE: As a data scientist, I sometimes struggle to strike a balance between stating our results with pure scientific rigor and communicating our impact in a way that’s easy to understand. The way we measure adoption, we’d need to be looking at ≥317 households in this cohort to be able to justify the decimal place in saying 91.1% for adoption.