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    <title>tribal health on Arun Mitra</title>
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      <title>Harnessing Data Science for Local Action: An Action-Research Framework to Improve Reproductive and Child Health (RCH) Service Delivery in Tribal Communities of Andhra Pradesh</title>
      <link>https://arunmitra.com/research/icmr-rch-tribal-ap/</link>
      <pubDate>Wed, 12 Feb 2025 00:00:00 +0000</pubDate>
      
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      <description>Background     Reproductive and child health (RCH) services in tribal India generate substantial routine data, but the sources are fragmented across systems and stakeholders, and the resulting information is under-used for service delivery and review. This proposal, prepared for the ICMR investigator-initiated (Intermediate) extramural grant call and sited in ITDA-Rampachodavaram, addresses that gap by treating data integration and use as a participatory, system-level problem rather than a purely technical one.</description>
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      <title>Participatory Data Science for Maternal &amp; Child Health in Tribal Andhra Pradesh</title>
      <link>https://arunmitra.com/research/participatory-data-science-mch/</link>
      <pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate>
      
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      <description>Background     Tribal primary health centres (PHCs) in India operate within data-rich routine health information systems (RHIS), yet local decision-making for maternal and child health (MCH) remains constrained: data is fragmented, misaligned with local needs, and rarely available in usable, actionable formats. The result is a wide gap between centrally oriented reporting and the ground-level realities of MCH service delivery. This PhD asks how a participatory data-science approach can re-orient routine systems to support PHC-level decisions, transforming under-used data into meaningful, context-specific, and actionable insight.</description>
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