PREDICT Emerging Pandemic Threats Project Data Asset (China - Restricted Data)

The PREDICT Consortium strengthened global preparedness for emerging threats, in particular to detect viruses that may have the potential to spillover from animal hosts to people. PREDICT-2, implemented from October 2014 through September 2020 as part of USAID’s Emerging Pandemic Threats program, was led by the UC Davis One Health Institute as a multi-institutional cross-disciplinary consortium with numerous global , implementing and government partners in 30 countries (see https://ohi.vetmed.ucdavis.edu/programs-projects/predict-project/authorship for a list of contributors). This project pioneered a One Health approach to emerging infectious virus surveillance and risk communication at high risk human-wildlife interfaces. This data asset and related datasets contain the data collected for China only.

Data and Resources

Field Value
accessLevel restricted public
accrualPeriodicity R/P6M
bureauCode {184:15}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.usaid.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
describedBy https://data.usaid.gov/api/views/jfz7-89sy/files/1d0b373b-9fee-46ad-ad4b-be0e767ffefe
identifier https://data.usaid.gov/api/views/jfz7-89sy
issued 2020-09-28
landingPage https://p2.predict.global/
language {en}
license http://creativecommons.org/licenses/by-nd/4.0/legalcode
modified 2020-04-30
programCode {184:014}
publisher USAID
references {https://data.usaid.gov/api/views/jfz7-89sy/files/458e1ddc-529c-4cbd-802c-80129023abe5,https://data.usaid.gov/api/views/cn2r-e2df/files/e94d8feb-cd46-4f30-b64d-904f4e44ab89}
resource-type Dataset
source_datajson_identifier true
source_hash 0fc47da9d95ad35f6101299538f0d76a600e24a5
source_schema_version 1.1
theme {"Global Health Security in Development (GHSD)"}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • africa
  • amerigeo
  • amerigeoss
  • asia
  • ckan
  • coronavirus
  • filovirus
  • flavivirus
  • geo
  • geoss
  • global-health
  • influenza
  • national
  • north-america
  • novel-viruses
  • one-health
  • pandemic-threat
  • paramyxovirus
  • surveillance
  • united-states
  • virus
  • zoonoses
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Lena Knezevic
maintainer_email no-reply@data.usaid.gov
metadata_created 2025-11-21T03:16:33.368299
metadata_modified 2025-11-21T03:16:33.368303
notes The PREDICT Consortium strengthened global preparedness for emerging threats, in particular to detect viruses that may have the potential to spillover from animal hosts to people. PREDICT-2, implemented from October 2014 through September 2020 as part of USAID’s Emerging Pandemic Threats program, was led by the UC Davis One Health Institute as a multi-institutional cross-disciplinary consortium with numerous global , implementing and government partners in 30 countries (see https://ohi.vetmed.ucdavis.edu/programs-projects/predict-project/authorship for a list of contributors). This project pioneered a One Health approach to emerging infectious virus surveillance and risk communication at high risk human-wildlife interfaces. This data asset and related datasets contain the data collected for China only.
num_resources 9
num_tags 22
title PREDICT Emerging Pandemic Threats Project Data Asset (China - Restricted Data)