A
PROFILE
Laman Web Staf UPM
DR. SITI AISAH BINTI MOKHTAR
PENSYARAH PERUBATAN
FAKULTI PERUBATAN DAN SAINS KESIHATAN
sitiaisah@upm.edu.my
Laman Web UPM
PROFILE
sitiaisah
BM
EN

PROFESIONAL

NAMA :
(Dr.) SITI AISAH BINTI MOKHTAR
JAWATAN :
PENSYARAH PERUBATAN
PTJ :
FAKULTI PERUBATAN DAN SAINS KESIHATAN

PENDIDIKAN
DOKTOR KESIHATAN MASYARAKAT
UNIVERSITI KEBANGSAAN MALAYSIA, BANGI, SELANGOR
Graduated : 2018
SARJANA KESIHATAN MASYARAKAT
UNIVERSITI KEBANGSAAN MALAYSIA, BANGI, SELANGOR
Graduated : 2014
PEWARTAAN PAKAR
KEMENTERIAN KESIHATAN MALAYSIA
Graduated : 2018
SARJANA MUDA PERUBATAN DAN SARJANA MUDA PEMBEDAHAN
UNIVERSITI MALAYA, KUALA LUMPUR
Graduated : 2008
PENERBITAN JOURNAL
1. Comparison of vaccine efficacy must be based on good clinical data−Authors’ reply
    Journal type: Citation-Indexed - Scopus
2. Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective
    Journal type: Citation-Indexed Journal - Science Citation Index (JCR)
3. Utilizing Theory of Planned Behaviour to increase intention to participate in hepatitis C treatment therapy among Methadone maintenance therapy clients (MMT) in Malaysia: A cluster randomised control trial
    Journal type: Citation-Indexed Journal - Science Citation Index (JCR)
PENERBITAN
2025
Utilizing Theory of Planned Behaviour to increase intention to participate in hepatitis C treatment therapy among Methadone maintenance therapy clients (MMT) in Malaysia: A cluster randomised control trial
2022
Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective
2022
Characterisation of COVID-19 deaths by vaccination types and status in Malaysia between February and September 2021
2022
Comparison of vaccine efficacy must be based on good clinical data?Authors’ reply
2021
Developing a Predictive Model for Plasmodium knowlesi–Susceptible Areas in Malaysia Using Geospatial Data and Artificial Neural Networks