Page 9 - June 2022 copy

Improving flood disaster preparedness of hospitals in
Central Thailand: Hospital personnel perspectives

Thai hospitals play a key role in flood disaster
responses, and this qualitative study, led by Assistant
Professor Dr. Kanittha Rattanakanlaya, employed
content analysis to analyze interviews done with
doctors, nurses and staff involved in disaster
preparedness. Input from key personnel is invaluable
for gaining a deeper understanding of phenomena,
and the data here produced three main themes which
related to national efforts for flood prevention and
mitigation; developing guidelines for responses at
provincial levels; and increasing levels of readiness at
the hospital level. The findings remind us that hospitals
cannot deal with unpredictable events on their own,
and improving hospital flood disaster preparedness
can take place at national, provincial and hospital
levels. Contributions to the wider global community
included the importance of involving hospital ‘personnel’
Asst. Prof. Dr.
Kanittha Rattanakanlaya under a multidisciplinary top-down approach to disaster
preparedness. Journal of Clinical Nursing

https://cmu.to/ShaI0

Simulation of 3D body shapes for pregnant and
postpartum women

Research has shown that pregnancy and postpartum Assoc. Prof. Dr.
Piyanut Xuto
complications can arise due to pregnancy-related
weight gain and is related to a woman’s pre-pregnant
body mass index (BMI). Associate Professor Dr.
Piyanut Xuto conceived this study along with a
colleague from the National Electronics and Computer
Technology Center (NECTEC) and participated across
most aspects of the research process with her
NECTEC colleagues. For women who want to control
BMI before, during and after pregnancy, this study
aimed to develop an app which would allow a user to
simulate their 3D body shapes in real-time and online,
based on their data, using multiple linear regression
and morphing techniques. Results showed that the
application could accurately predict body shapes for
users through the pregnancy and postpartum period
allowing users to be better-informed about their
health during the pregnancy period and able to avoid
complications related to weight gain. Sensors

https://cmu.to/mDMGq

Research Wisdom 9
Volume 9 | June 2022