Takuya Kinoshita

ORCID: 0000-0001-8204-0150
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About
Contact & Profiles
Research Areas
  • Healthcare Systems and Reforms
  • Global Maternal and Child Health
  • COVID-19 diagnosis using AI
  • Telemedicine and Telehealth Implementation
  • Data-Driven Disease Surveillance
  • Malaria Research and Control
  • Census and Population Estimation

Nagasaki University
2022-2024

Abstract Background Although the Philippines targets malaria elimination by 2030, it remains to be a disease that causes considerable morbidity in provinces report malaria. Pregnant women residing endemic areas are vulnerable population, because addition risk of developing severe malaria, their pregnancy is not followed through, and outcome unknown. This study determined utility real-world data integrated with surveillance set as evidence delivery outcomes for Philippines. Methods For period...

10.1186/s41182-024-00583-7 article EN cc-by Tropical Medicine and Health 2024-02-08

Recently, the use of telehealth for patient treatment under COVID-19 pandemic has gained interest around world. As a result, many infodemiology and infoveillance studies using web-based sources such as Google Trends were reported, focusing on first wave pandemic. Although public in increased countries during this time, long-term remained unknown among people living Japan. Moreover, various mobile apps have become available remote areas era, but accessibility these epidemic versus nonepidemic...

10.2196/36525 article EN cc-by JMIR Formative Research 2022-09-14

Abstract Background Although the Philippines targets malaria elimination by 2030, it is a disease of public health importance in provinces that report malaria. Pregnant women residing endemic areas are vulnerable population because their pregnancy not followed through, and outcome unknown. This study determined utility real-world data integrated with surveillance dataset as evidence delivery outcomes for Philippines. Methods For period 2015 to 2019, electronic datasets Ospital ng Palawan...

10.21203/rs.3.rs-3456054/v1 preprint EN cc-by Research Square (Research Square) 2023-11-01
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