Resources

This is a simple, Excel-based tool for assessing and comparing costs of rotavirus vaccination programs with each rotavirus vaccine product available in the global market. It aims to help national-level policymakers specifically in countries eligible for support from Gavi, the Vaccine Alliance, compare products and estimate vaccination program costs for different rotavirus vaccines, exploring up to four different vaccine options at a time.The tool calculates cold chain volume and costs annually and for a total period of five years. Cost estimates are composed of vaccine cost (i.e., vaccine and supplies procurement and international shipping) and vaccination program costs (i.e., vaccine cost and cost of delivery). Cost estimates are provided separately for the country perspective and the combined country and Gavi perspective.It is important to note that cost is only one consideration when selecting a rotavirus vaccine product, and users involved in decision-making around new vaccine introduction/switch or product selection should always consider other dimensions as well. This model is meant to provide insights into the potential costs of alternative product choices and should not replace detailed budget planning once a product has been selected.A user guide is included in the file on a tab labeled “READ ME FIRST” which provides detailed instructions on how to use the tool and interpret the results. The tool is available to download in multiple languages. Please be sure to check out this seven-minute tutorial video, which is in English, with French and Spanish subtitled versions also available. If you have additional questions or need support, contact PATH’s Health Economics & Outcomes Research team: HEOR@path.org.NOTE: Please refer to this web page for the most up-to-date version of the calculator, which is periodically updated to reflect the evolving vaccine landscape.

Part 1 of “Rethinking the future of maternal and child survival in Africa in a changing aid landscape,” the newest edition to our Africa regional MNCH advocacy dialogues series, was held on June 26, 2025, featuring a moderated discussion with panelists from PATH, UNICEF, Africa Union Commission, Umzanyana Birth Services, Reproductive Health Division, and MSD for Mothers. The resource below is one of the presentations from the webinar. In the coming weeks we will share the recording for the webinar as well.

According to the World Health Organization, medical oxygen is one of the key essential medicines required for multiple health conditions, including asthma, heart failure, and various newborn complications. Over the last decade, the Ugandan government has worked to improve access to medical oxygen. The National Scale Up of Medical Oxygen Implementation Plan (2018–2022), launched in 2019, guided this progress, which included increasing manufacturing capacity and installing oxygen plants at referral hospitals.

Immunization is one of the most impactful and cost-effective public health interventions available, saving up to 4 million lives every year, according to the World Health Organization (WHO). In addition to its direct impact on the health of populations, immunization brings added value by reducing the burden of disease on individuals, families, and communities.

In Nigeria, Community Health Extension Workers (CHEWs) are essential to providing frontline health care, particularly in rural and underserved areas where physician shortages are most pronounced. However, they face a significant challenge in their limited access to real-time, comprehensive information that could support timely, accurate decision-making for a wide range of health concerns. Studies have shown that poor utilization of primary health care facilities in Nigeria is often attributed to perceived poor quality care, with CHEWs sometimes struggling to access the necessary information to manage patients effectively (Luka-Lawal et al. 2020). Existing research indicates that CHEWs can deliver safe and effective care when given adequate support. A study conducted in South-South Nigeria found that CHEWs had good results when given access to physician consultation via telephone (Ordinioha and Onyenaporo 2010). These findings suggest that providing decision-support resources enhances the ability of CHEWs to manage cases at the community level.Given the demonstrated benefits of telephonic physician support, this study explores whether a system driven by artificial intelligence (AI) could serve a similar role in enhancing CHEW decision-making capabilities. Unlike physician-supervised telephone consultations, which require ongoing human resources, a Large Language Model (LLM)-based system could provide scalable, on-demand access to health care knowledge without relying on direct physician availability. By integrating LLMs into the CHEW workflow, this study seeks to evaluate the feasibility of AI-driven decision support in improving patient outcomes, reducing unnecessary referrals, and strengthening primary health care service delivery in Nigeria.