Sakulrat Pattamakaew

ORCID: 0000-0002-8742-9250
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About
Contact & Profiles
Research Areas
  • Zoonotic diseases and public health
  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance
  • Animal Disease Management and Epidemiology
  • COVID-19 Digital Contact Tracing
  • Problem and Project Based Learning
  • Virology and Viral Diseases
  • Veterinary Practice and Education Studies
  • COVID-19 Pandemic Impacts
  • Biomedical and Engineering Education

Chiang Mai University
2016-2022

Aiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create novel surveillance system called Participatory Disease Detection (PODD). PODD is community-owned that collects data from volunteer reporters; identifies automatically; notifies the local governments (LGs), surrounding villages, relevant authorities. This provides direct immediate benefit communities by empowering them protect themselves.The objective...

10.2196/publichealth.7375 article EN cc-by JMIR Public Health and Surveillance 2018-03-21

Purpose: A community-based Participatory One Health Disease Detection system (PODD) using smart phone technology was piloted in Chiang Mai, Thailand. Volunteers from 300 villages and 74 community governmental agencies were selected purposively to submit daily surveillance reports of poultry health disease their communities The primary objective PODD pilot phase detect abnormal deaths backyard animal order elicit rapid investigation response. Abnormal numbers or types death can be a signal...

10.1016/j.ijid.2016.11.088 article EN cc-by-nc-nd International Journal of Infectious Diseases 2016-12-01

Purpose: PODD disease surveillance system was developed for monitoring animal diseases, human diseases and environmental issues by using mobile application called "PODD". It implemented since early 2015 in 74 communities Chiang Mai, Thailand. Total of 296 community volunteers, 4 people per community, were recruited into the to be volunteer reporter their communities. They trained every 3 months about how report those abnormal events through application. This study aimed determine performance...

10.1016/j.ijid.2016.11.301 article EN cc-by-nc-nd International Journal of Infectious Diseases 2016-12-01

Abstract This study aimed to design and test a COVID-19 surveillance system model for community-industry population. A prospective cohort was conducted from May December, 2020. Researchers designed presented it stakeholders the setting in Lamphun Chiang Mai provinces, Thailand. The adjusted following feedback tested. an Active early Alert rapid Action using Big data mobile phone application technology Community-industry (3ABC model). major components were active surveillance, community-based...

10.12982/cmujns.2022.006 article EN Chiang Mai University Journal of Natural Sciences 2022-01-21

<sec> <title>BACKGROUND</title> Aiming for early disease detection and prompt outbreak control, digital technology with a participatory One Health approach was used to create novel surveillance system called Participatory Disease Detection (PODD). PODD is community-owned that collects data from volunteer reporters; identifies automatically; notifies the local governments (LGs), surrounding villages, relevant authorities. This provides direct immediate benefit communities by empowering them...

10.2196/preprints.7375 preprint EN 2017-01-21
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