Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

0.444

P-Index

This Author published in this journals

All Journal Public Health of Indonesia International Journal of Advanced Science Computing and Engineering HISTORICAL: Journal of History and Social Sciences

Hasan, Mehedi

Unknown Affiliation

Author-ID : 1534553

Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Public Health Social Sciences

Published : 4 Documents Claim Missing Document

Claim Missing Document

Articles

FACILITY ASSESSMENT FOR MATERNAL AND CHILD HEALTH SERVICES IN BANGLADESH USING SERVICE AVAILABILITY AND READINESS ASSESSMENT (SARA) TOOL: A CROSS-SECTIONAL PILOT STUDY Aftab, Afzal; Hasan, Mehedi; Bari, Rahmatul; Hossain, Mohammad Didar; Hasan, Mehadi; Azad, Abul Kalam; Islam, Bulbul; Sarker, Malabika
Public Health of Indonesia Vol. 3 No. 3 (2017): July - September
Publisher : YCAB Publisher & IAKMI SULTRA

Background: To initiate journey towards the Universal Health Coverage (UHC) it is essential to assess the health facilities. Unfortunately, no health facility assessment has been conducted in Bangladesh so far using "Service Availability and Readiness Assessment (SARA)” tool. Therefore, we aimed to conduct a pilot study to assess health facilities for maternal and child health services using SARA tool so that we can scale-up this assessment throughout the country later.Aim: We aimed to assess the health facilities for maternal and child health services in Tangail, Bangladesh using service availability and readiness assessment (SARA) tool.Methods: A cross-sectional pilot study was conducted in Bashail and Shokhipur Upazilla of Tangail district. A sample of 14 health facilities was assessed purposefully for data collection using a modified version of the SARA tool. Data was collected from November 01 to November 15, 2013, using paper-based questionnaire. Finally, following data collection, data were documented into Microsoft Excel by data collectors. Data were analyzed using Microsoft Excel, version 2010.Results: General service readiness has been segregated into five domains and their readiness scores were basic amenities (53.06%), basic equipment (83.33%), standard precautions for infection prevention (55.56%), and basic equipment (58.93%) for included health facilities. Similarly, specific service readiness includes family planning (48.15%), child immunization (67.71%), preventive and curative care (71.43%), and basic surgery (93.33%).Conclusion: Since we are moving towards UHC, it is essential to know the current scenario of health facilities. This pilot study reveals the strength and weakness of the health facilities in providing the maternal and child health services. These findings will help us to resolve all the identified gaps through proper planning and action.

EXPLORATION OF THE HEALTH IMPACT OF DOUBLE BURDEN OF MALNUTRITION AMONG BANGLADESHI WOMEN Hasan, Mehedi; Sutradhar, Ipsita
Public Health of Indonesia Vol. 3 No. 4 (2017): October - December
Publisher : YCAB Publisher & IAKMI SULTRA

Double burden of malnutrition (DBM) is a growing concern, which refers to the coexistence of under nutrition and over nutrition within the same population. The recent increase in the prevalence of overweight and existing prevalence of underweight among Bangladeshi women clearly indicates the advent of a double burden of malnutrition in Bangladesh. Women's nutritional status is extremely important for a nation because it affects not only their own health but also the health of their children. Both under nutrition and over nutrition have the potential to make women vulnerable to various adverse health conditions as well as adverse obstetric experience and poor birth outcome. It is a timely need for policy makers of this country to come up with specific interventions for both undernourished and overnourished women considering all these factors.

Predicting Customer Sentiment in Social Media Interactions: Analyzing Amazon Help Twitter Conversations Using Machine Learning Arif, Md; Hasan, Mehedi; Al Shiam, Sarder Abdulla; Ahmed, Md Parvez; Tusher, Mazharul Islam; Hossan, Md Zikar; Uddin, Aftab; Devi, Suniti; Rahman, Md Habibur; Ali Biswas, Md Zinnat; Imam, Touhid
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 2 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.2.211

Social media platforms, particularly Twitter, have become essential sources of data for various applications, including marketing and customer service. This study focuses on analyzing customer interactions with Amazon's official support account, "@AmazonHelp," to understand and predict changes in customer sentiment during these interactions. Using the Twitter API, we extracted English-language tweets mentioning "@AmazonHelp," pre-processed the data, and categorized conversations to facilitate analysis. The primary objectives were to classify changes in customer sentiment and predict the overall sentiment change based on initial sentiment. We conducted experiments using multiple machines learning algorithms, including K-nearest neighbor, Naive Bayes, Artificial Neural Network, Bayes Net, Support Vector Machine, Logistic Regression, and Bagging with RepTree. Our dataset comprised over 6,500 conversations, filtered to include those with four or more tweets. Results indicated that K-nearest neighbor and Support Vector Machine offered the best balance between accuracy and F-measure, while Bagging with RepTree achieved the highest accuracy but had a lower F-measure. This study demonstrates the potential of integrating sentiment analysis and machine learning to effectively predict customer sentiment in social networks, providing valuable insights for improving customer engagement strategies.

Escalating Risks: How North Korea’s Weapons Program Challenges Japan’s Security Framework Amin, MD Ashraful; Fahim, Azizur Rahman; Hasan, Mehedi; Islam, Md. Masbahul; Jubair, Hassan
HISTORICAL: Journal of History and Social Sciences Vol. 4 No. 1 (2025): History and Cultural Innovation
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/historical.v4i1.165

This paper explores the complex security challenges Japan faces in response to North Korea’s advancing weapons program and the implications for regional stability in East Asia. North Korea’s growing missile and nuclear capabilities pose significant threats, driving Japan to reconsider its security policies within the constraints of its pacifist constitution and longstanding U.S. alliance. This study analyzes Japan's adaptations to its Self-Defense Forces, increased defense spending, and enhanced missile defense systems as part of a strategic shift toward greater security autonomy. In a comparative analysis, Japan’s approach is evaluated alongside the security frameworks of South Korea and the United States, while considering the roles of China and Russia as influential regional actors. The study follows a qualitative framework based on secondary data. Policy recommendations emphasize the need for strategic flexibility, advancements in missile defense technology, and multilateral collaboration with allies. Long-term implications underscore how North Korea’s militarization could reshape the geopolitical landscape, necessitating a proactive, cooperative approach to maintain regional stability and deter potential conflict. This analysis offers insights into future directions for Japanese security policy and highlights areas for further research, including the impact of North Korea’s internal policies on regional security dynamics.

Co-Authors Aftab, Afzal Ahmed, Md Parvez Al Shiam, Sarder Abdulla Ali Biswas, Md Zinnat AMIN, MD ASHRAFUL Arif, Md Azad, Abul Kalam Bari, Rahmatul Devi, Suniti Fahim, Azizur Rahman Hasan, Mehadi Hossain, Mohammad Didar Hossan, Md Zikar Imam, Touhid Islam, Bulbul Islam, Md. Masbahul Jubair, Hassan Rahman, Md Habibur Sarker, Malabika Sutradhar, Ipsita Tusher, Mazharul Islam Uddin, Aftab

Title

Found 4 Documents
Search

Abstract

Abstract

Abstract

Abstract

Title Search

Found 4 Documents Search

Abstract

Abstract

Abstract

Abstract

Title

Found 4 Documents
Search