Bodrun Naher Siddiquea
Biographic Data
| ID | 7553629 |
|---|---|
| NAME | Bodrun Naher Siddiquea |
| GIVEN NAMES | Bodrun Naher |
| FAMILY NAME | Siddiquea |
| SIGNATURE | SIDDIQUEA B N |
| AFFILIATIONS | Monash University |
| ORCID | 0000-0002-9224-113X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Exploring under-five child malnutrition in Bangladesh
Objective: The current study is an attempt to explore under-five child malnutrition in a low-income population setting using the Extended Composite Index of Anthropometric Failure (ECIAF). Design: Data from the Bangladesh Demographic and Health Survey 2017–2018 were analysed. Malnutrition using ECIAF was estimated using stunting, wasting underweight and overweight. Multilevel logistic regression models identified factors associated with malnutrit…
Is global health truly global? A hashtag analysis of #GlobalHealth disparities on X
Background X (Formerly known as Twitter) healthcare hashtags are a popular healthcare informatics and educational tool among medical professionals. #Globalhealth is one such widely used hashtag with extensive engagement. This study analyses #GlobalHealth to understand its pattern, global digital distribution, and other parameters during the COVID-19 pandemic on X. Methods Data was collected by utilizing posts using #GlobalHealth on X from 1st Dec…
Patient safety discourse in a pandemic
Background: The digitalization of medicine is becoming a transformative force in modern healthcare systems. This study aims to investigate discussions regarding patient safety, as well as summarize perceived approaches to mitigating risks of adverse events expressed through the #PatientSafety Twitter hashtag during the COVID-19 pandemic. Methods: This research is grounded in the analysis of data extracted from Twitter under the hashtag #PatientSa…
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Patient safety discourse in a pandemic
Background: The digitalization of medicine is becoming a transformative force in modern healthcare systems. This study aims to investigate discussions regarding patient safety, as well as summarize perceived approaches to mitigating risks of adverse events expressed through the #PatientSafety Twitter hashtag during the COVID-19 pandemic. Methods: This research is grounded in the analysis of data extracted from Twitter under the hashtag #PatientSa…
Is global health truly global? A hashtag analysis of #GlobalHealth disparities on X
Background X (Formerly known as Twitter) healthcare hashtags are a popular healthcare informatics and educational tool among medical professionals. #Globalhealth is one such widely used hashtag with extensive engagement. This study analyses #GlobalHealth to understand its pattern, global digital distribution, and other parameters during the COVID-19 pandemic on X. Methods Data was collected by utilizing posts using #GlobalHealth on X from 1st Dec…
Exploring under-five child malnutrition in Bangladesh
Objective: The current study is an attempt to explore under-five child malnutrition in a low-income population setting using the Extended Composite Index of Anthropometric Failure (ECIAF). Design: Data from the Bangladesh Demographic and Health Survey 2017–2018 were analysed. Malnutrition using ECIAF was estimated using stunting, wasting underweight and overweight. Multilevel logistic regression models identified factors associated with malnutrit…
Computer Science (3 works) · Medicine (3 works) · Data science (2 works) · Environmental health (2 works) · Social Media in Health Education (2 works) · Analytics (1 work) · Anthropometry (1 work) · Body mass index (1 work) · Child Nutrition and Water Access (1 work) · Composite index (1 work)