COMMUNITY CASE STUDY article

Front. Public Health

Sec. Public Health Policy

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1549326

Building an agile state-wide research infrastructure to address COVID-19 and emerging threats: insights from an equity-centered public health and academic collaboration in California

Provisionally accepted
Priya  ShetePriya Shete1*Nicole  SantosNicole Santos1Hilary  SpindlerHilary Spindler1Tomás  LeónTomás León2Maya  PetersenMaya Petersen3A  Marm KilpatrickA Marm Kilpatrick4Seema  JainSeema Jain2James  WattJames Watt2Rohan  RadhakrishnaRohan Radhakrishna2Erica  PanErica Pan2Tomás  AragónTomás Aragón2
  • 1University of California, San Francisco, San Francisco, United States
  • 2California Department of Public Health, Sacramento, California, United States
  • 3University of California, Berkeley, Berkeley, California, United States
  • 4University of California, Santa Cruz, Santa Cruz, California, United States

The final, formatted version of the article will be published soon.

The COVID-19 pandemic underscored the need for efficient real-time evidence generation to inform public health interventions and policies. To address this gap, a formalized research partnership between the California Department of Public Health (CDPH) and the University of California (UC) was created. The aim of this case study is to describe the achievements and lessons learned from the California Collaborative for Public Health Research (CPR3). This state-wide infrastructure (1) streamlines data sharing and use between UC researchers and public health agencies; (2) sets priority research agendas that reflect the needs of the state's diverse communities; and (3) fosters research collaboration and evidence translation. This partnership may serve as a guide for how academic and public health entities can jointly prioritize, conduct, and act upon policy-relevant research for current and emerging threats.

Keywords: data sharing, evidence to policy translation, research prioritization, modeling, collaboration

Received: 20 Dec 2024; Accepted: 23 Jun 2025.

Copyright: © 2025 Shete, Santos, Spindler, León, Petersen, Kilpatrick, Jain, Watt, Radhakrishna, Pan and Aragón. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Priya Shete, University of California, San Francisco, San Francisco, United States

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