English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Many lowand middle-income countries (LMICs) are characterised by high levels of socioeconomic inequality and uneven access to clinical and preventive services, leading to unacceptably wide differences in health outcomes between rich and poor [1]. This is often exacerbated by weak systems of governance, which hinder the efficient and fair distribution of resources. Tackling such inequalities is one of the Sustainable Development Goals proposed by the United Nations (SDG #10), and is echoed in the World Health Organization’s (WHO) campaign to promote Universal Health Coverage as a fundamental human right [2].

New forms of data for understanding low- and middle-income countries’ health inequalities: the case of Tanzania