Mehedi Hasan Anik
Biographic Data
| ID | 7986132 |
|---|---|
| NAME | Mehedi Hasan Anik |
| GIVEN NAMES | Mehedi Hasan |
| FAMILY NAME | Anik |
| SIGNATURE | ANIK M H |
| AFFILIATIONS | International Centre for Diarrhoeal Disease Research |
| ORCID | 0000-0002-8114-4836 |
| 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 |
Key Stakeholders' Perspectives on Acute Malnutrition Management Programs for Children Under Five in Bangladesh
Acute malnutrition (AM) in children under five is a significant global health concern. Community-based management of AM (CMAM) with provision of specially formulated foods (SFFs) is recommended for treating moderate (MAM) and uncomplicated severe (SAM) cases in outpatient settings. Integrating nutrition counseling and cooking demonstrations (NC&CD) into CMAM programs can improve caregiver knowledge and practices. In our parent trial, we evaluated…
Perceptions of Underlying Factors and Consequences of Childhood Malnutrition and Care‐Seeking Behaviour for Children Under 5 Years With Acute Malnutrition
Acute Malnutrition affects 45 million children under five globally, with Bangladesh contributing more than 1.7 million cases. While community-based management of acute malnutrition (CMAM) guidelines in Bangladesh exist, they primarily emphasise nutritional counselling and face challenges in coverage and implementations. It is important to understand barriers to CMAM uptake and implementation. This study aims to explore the perceptions of acute ma…
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
Artificial Intelligence (AI) is rapidly integrating into various aspects of our daily lives, influencing decision-making processes in areas such as targeted advertising and matchmaking algorithms. As AI systems become increasingly sophisticated, ensuring their transparency and explainability becomes crucial. Functional transparency is a fundamental aspect of algorithmic decision-making systems, allowing stakeholders to comprehend the inner workin…
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Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
Artificial Intelligence (AI) is rapidly integrating into various aspects of our daily lives, influencing decision-making processes in areas such as targeted advertising and matchmaking algorithms. As AI systems become increasingly sophisticated, ensuring their transparency and explainability becomes crucial. Functional transparency is a fundamental aspect of algorithmic decision-making systems, allowing stakeholders to comprehend the inner workin…
Key Stakeholders' Perspectives on Acute Malnutrition Management Programs for Children Under Five in Bangladesh
Acute malnutrition (AM) in children under five is a significant global health concern. Community-based management of AM (CMAM) with provision of specially formulated foods (SFFs) is recommended for treating moderate (MAM) and uncomplicated severe (SAM) cases in outpatient settings. Integrating nutrition counseling and cooking demonstrations (NC&CD) into CMAM programs can improve caregiver knowledge and practices. In our parent trial, we evaluated…
Perceptions of Underlying Factors and Consequences of Childhood Malnutrition and Care‐Seeking Behaviour for Children Under 5 Years With Acute Malnutrition
Acute Malnutrition affects 45 million children under five globally, with Bangladesh contributing more than 1.7 million cases. While community-based management of acute malnutrition (CMAM) guidelines in Bangladesh exist, they primarily emphasise nutritional counselling and face challenges in coverage and implementations. It is important to understand barriers to CMAM uptake and implementation. This study aims to explore the perceptions of acute ma…
Child Nutrition and Water Access (2 works) · Focus group (2 works) · Food Security and Health in Diverse Populations (2 works) · Malnutrition (2 works) · Medicine (2 works) · Nursing (2 works) · Severe Acute Malnutrition (2 works) · Acute care (1 work) · Artificial Intelligence (1 work) · Blockchain Technology Applications and Security (1 work)