JKJaranit Kaewkungwal

Jaranit Kaewkungwal

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Jaranit Kaewkungwal has a total of 1000 co-authors. Here are the top co-authors by number of shared publications:

  • Pratap Singhasivanon

    Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand

    37 shared publications
  • Supachai Rerks-Ngarm

    Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand

    37 shared publications
  • Punnee Pitisuttithum

    Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand

    35 shared publications
  • Sorachai Nitayaphan

    Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand

    35 shared publications
  • Nelson L. Michael

    Department of Cell Biology and Molecular Genetics, College of Computational, Biological, and Natural Sciences, and Institute for Bioscience and Biotechnology Research, University of Maryland, College Park, Rockville, Maryland, USA

    30 shared publications
  • Jerome H. Kim

    US Military Research Program, Walter Reed Army Institute of Research, Silver Spring, USA

    29 shared publications

Latest Publications

  • Open Access

    Treatment-seeking time and its determinants among patients with confirmed malaria in Thailand: a national surveillance analysis, 2012–2024

    by Isara Srisaard, Pyae Linn Aung, Khaing Zin Zin Htwe, Prayuth Sudathip, Suravadee Kitchakarn, Liwang Cui, Saranath Lawpoolsri, Daniel M. Parker, Amnat Khamsiriwatchara, Jaranit Kaewkungwal, et al.

  • Open Access

    Privacy concerns regarding personal health information in Myanmar: A cross-sectional survey in a least developed country

    by Khaing Zin Zin Htwe, Saranath Lawpoolsri, Ngamphol Soonthornworasiri, Panithee Thammawijaya, Jaranit Kaewkungwal

    Protecting personal health information has long been a key ethical concern in healthcare. With the rise of digital health systems, privacy concerns have intensified. In least developed countries like Myanmar, where digital literacy is low, public and governmental awareness of privacy issues is limited, and data protection laws are lacking, the health information privacy area remains largely unaddressed and understudied. This study, therefore, aimed to assess the level of privacy concerns related to personal health information in Myanmar and identify the factors associated with these concerns. A cross-sectional survey was conducted from March to May 2024 among 424 participants recruited online and through two private clinics. A validated 21-item scale measuring six domains: Collection, Errors, Unauthorized Secondary Use, Improper Access, Control, and Awareness, was used. Confirmatory factor analysis was performed to validate the scale, and logistic regression was used to identify factors associated with the concerns. Among the 424 participants, 77.83% reported high concerns. The highest concern was observed in the Awareness domain (mean 5.02, SD 1.65), while the Collection domain showed the lowest (mean 3.41, SD 1.44). Participants aged 45 years or older had significantly lower odds of high concerns compared to those aged 18–24 years, with an adjusted odds ratio (aOR) of 0.29 (95% CI 0.09-0.88). In contrast, those reporting good health (aOR 3.72, 95% CI 1.69-8.23) and high health concerns (aOR 5.26, 95% CI 3.02-9.45) had increased odds of high privacy concerns. These findings highlight the need for robust privacy safeguards, legal frameworks, and trust-building measures to support Myanmar’s transition to digital health systems. Sampling via online channels and private clinics likely introduced an urban/educated bias, limiting generalizability. However, the findings may still provide insights relevant for other least developed countries facing similar challenges in balancing digital innovation with the protection of personal health information.

  • Open Access

    Drivers of delay in reported malaria care-seeking in Myanmar and Thailand

    by Khaing Zin Zin Htwe, Pyae Linn Aung, Piyarat Sripoorote, Myat Thu Soe, Pattamaporn Petchvijit, Poh Poh Aung, Amnat Khamsiriwatchara, Saranath Lawpoolsri, Liwang Cui, Daniel M. Parker, et al.

    Timely malaria care-seeking and treatment is crucial to prevent severe illness and reduce onward transmission. This study assessed the reported time to care-seeking and identified its associated factors among febrile patients attending community-based malaria facilities in Myanmar and Thailand. Longitudinal data were collected from febrile patients suspected of malaria who sought care through Village Health Volunteers in Myanmar (December 2017-June 2021) and at malaria clinics and posts in Thailand (January 2018-June 2024). Standardized case record forms in local languages were used at diagnosis. Descriptive statistics and multivariable log-logistic Accelerated Failure Time (AFT) models were used to estimate Time Ratios (TRs). In Myanmar (n = 2,960), the reported mean fever duration at diagnosis was 1.8 days (SD: 1.3). Longer time to care-seeking was associated with Shan ethnicity (TR: 1.48; 95% CI 1.41-1.55), other ethnicities (TR: 1.24; 95% CI 1.08-1.41), farmers (TR: 1.12; 95% CI 1.0-1.25), uncertain malaria history (TR: 1.26; 95% CI 1.09-1.47), and diagnosis with Plasmodium falciparum (TR: 1.10; 95% CI 1.02-1.19) or Plasmodium vivax (TR: 1.23; 95% CI 1.13-1.34). Shorter delays were associated with daily bed net use and diagnosis during the third or fourth quarters of the year. In Thailand (n = 15,576), the reported mean fever duration was 2.9 days (SD: 1.8). Longer delays were linked to farmers (TR: 1.07; 95% CI 1.02-1.11), pre- or primary education (TR: 1.02; 95% CI 1.00-1.04), uncertain malaria history (TR: 1.10; 95% CI 1.06-1.14), diagnosis with P. falciparum (TR: 1.27; 95% CI 1.09-1.46), P. vivax (TR: 1.20; 95% CI 1.17-1.23), or other malaria species (TR: 1.32; 95% CI 1.12-1.56), and diagnosis during the third (TR: 1.03; 95% CI 1.00-1.05) or fourth quarters of the year (TR: 1.06; 95% CI 1.04-1.09). Shorter care-seeking times were observed among non-agricultural occupations such as merchants and monks, individuals with prior malaria episodes, and occasional or daily bed net users. Delays in malaria care-seeking remain common in both Myanmar and Thailand. The identified risk factors, including ethnicity, occupation, malaria history, and preventive behaviours, should be considered in the design of targeted interventions to promote timely care-seeking in malaria-endemic settings.


  • Open Access

    Malaria care-seeking among febrile patients in Myanmar and Thailand: an accelerated failure time analysis

    by Khaing Zin Zin Htwe, Pyae Linn Aung, Piyarat Sripoorote, Myat Thu Soe, Pattamaporn Petchvijit, Poh Poh Aung, Amnat Khamsiriwatchara, Saranath Lawpoolsri, Liwang Cui, Daniel M Parker, et al.

    Timely malaria care-seeking and treatment is crucial to prevent severe illness and reduce onward transmission. This study assessed the time to care-seeking and identified its associated factors among febrile patients attending community-based malaria facilities in Myanmar and Thailand. Longitudinal data were collected from febrile patients suspected of malaria who sought care through Village Health Volunteers in Myanmar (December 2017–June 2021) and at malaria clinics and posts in Thailand (January 2018–June 2024). Standardized case record forms in local languages were used at diagnosis. Descriptive statistics and log-logistic Accelerated Failure Time (AFT) models were used to estimate Time Ratios (TRs). In Myanmar (n = 2,960), the mean fever duration at diagnosis was 1.8 days (SD: 1.3). Longer time to care-seeking was associated with Shan ethnicity (TR: 1.48; 95% CI: 1.41–1.55), other ethnicities (TR: 1.24; 95% CI: 1.08–1.41), farmers (TR: 1.12; 95% CI: 1.0–1.25), uncertain malaria history (TR: 1.26; 95% CI: 1.09–1.47), and diagnosis with Plasmodium falciparum (TR: 1.10; 95% CI: 1.02–1.19) or P. vivax (TR: 1.23; 95% CI: 1.13–1.34). Shorter delays were associated with daily bed net use and diagnosis during the third or fourth quarters of the year. In Thailand (n = 15,576), the mean fever duration was 2.9 days (SD: 1.8). Longer delays were linked to farmers (TR: 1.07; 95% CI: 1.02–1.11), pre- or primary education (TR: 1.02; 95% CI: 1.00–1.04), uncertain malaria history (TR: 1.10; 95% CI: 1.06–1.14), diagnosis with P. falciparum (TR: 1.27; 95% CI: 1.09–1.46), P. vivax (TR: 1.20; 95% CI: 1.17–1.23), or other malaria species (TR: 1.32; 95% CI: 1.12–1.56), and diagnosis during the third (TR: 1.03; 95% CI: 1.00–1.05) or fourth quarters of the year (TR: 1.06; 95% CI: 1.04–1.09). Shorter care-seeking times were observed among non-agricultural occupations such as merchants and monks, individuals with prior malaria episodes, and occasional or daily bed net users. Delays in malaria care-seeking remain common in both Myanmar and Thailand. The identified risk factors, including ethnicity, occupation, malaria history, and preventive behaviors, should be considered in the design of targeted interventions to promote timely care-seeking in malaria-endemic settings.

  • Open Access

    Privacy concerns regarding personal health information in Myanmar: A cross-sectional survey in a least developed country

    by Khaing Zin Zin Htwe, Saranath Lawpoolsri, Ngamphol Soonthornworasiri, Panithee Thammawijaya, Jaranit Kaewkungwal

    Protecting personal health information has long been a key ethical concern in healthcare. With the rise of digital health systems, privacy concerns have intensified. In least developed countries like Myanmar, where digital literacy is low, public and governmental awareness of privacy issues is limited, and data protection laws are lacking, the health information privacy area remains largely unaddressed and understudied. This study, therefore, aimed to assess the extent of privacy concerns related to personal health information in Myanmar and identify the factors associated with these concerns. A cross-sectional survey was conducted from March to May 2024 among 424 participants recruited online and through two private clinics. A validated 21-item scale measuring six domains: Collection, Errors, Unauthorized Secondary Use, Improper Access, Control, and Awareness, was used. Confirmatory factor analysis was performed to validate the scale, and logistic regression was used to identify factors associated with the concerns. Among the 424 participants, 77.83% reported high concerns. The highest concern was observed in the Awareness domain (mean 5.02, SD 1.65), while the Collection domain showed the lowest (mean 3.41, SD 1.44). Participants aged 45 years or older had significantly lower odds of high concerns compared to those aged 18-24 years, with an adjusted odds ratio (aOR) of 0.29 (95% CI 0.09-0.88). In contrast, those reporting good health (aOR 3.72, 95% CI 1.69-8.23) and high health concerns (aOR 5.26, 95% CI 3.02-9.45) had increased odds of high privacy concerns. These findings highlight the need for robust privacy safeguards, legal frameworks, and trust-building measures to support Myanmar’s transition to digital health systems. They also provide insights relevant for other least developed countries facing similar challenges in balancing digital innovation with the protection of personal health information. Author Summary: We examined the extent of personal health information privacy concerns of people in Myanmar at a time when digital health tools are growing but legal protections and public awareness remain limited. From March to May 2024, we surveyed 424 adults online and in two private clinics. We asked about six kinds of concerns, related to the amount of personal health information collected, errors in the information, who can access the information, whether they are reused without permission, how much control people have over their own information, and how clearly rules are explained. More than three in four participants reported high overall concern. People were more worried about not knowing how their information would be used, and least worried about the act of collection itself. Older adults tended to be less concerned than younger adults, while those who felt in good health and those who were more worried about their health showed greater concern. Patterns also varied by sex, place of residence, type of occupation, and familiarity with electronic medical records. Our findings point to practical steps for Myanmar’s digital health transition: communicate clearly about data practices, give people meaningful control, prevent misuse and improper access, and strengthen organizational and legal safeguards. These actions can build trust and support safe, more equitable health information systems in Myanmar and in similar settings.