{ "page": "gis-projects", "title": "Projects", "heading": "Projects", "intro": "Here are some of the recent geospatial projects answering environment-related spatial questions, using tools like ArcGIS Pro, Google Earth Engine, QGIS, GeoDa, Python, and R to analyze, visualize, and map meaningful insights — from detecting LULC change with a Random Forest machine learning model to regression models, vulnerability assessments, and hotspot analysis.", "categories": [ { "id": "data-analysis-visualization", "label": "Data analysis and visualization" }, { "id": "gis-maps", "label": "GIS maps" }, { "id": "unocha", "label": "UNOCHA project" }, { "id": "public-health", "label": "Public Health projects" }, { "id": "academic-field", "label": "Academic field projects" }, { "id": "feasibility-study", "label": "Feasibility study" }, { "id": "research-projects", "label": "Research projects" } ], "projects": [ { "meta": "", "image": "projects/1791036064827-1d32da.png", "category": "gis-maps", "title": "Child Protection Map", "id": "project-1", "sections": [ {} ], "summary": "A GIS based map covering the intervention area of Rohingya refugee camps under Child protection program, 'Save the Children, Cox's Bazar'." }, { "meta": "", "image": "projects/1791036237649-nw3kp6.jpeg", "category": "unocha", "title": "Major cases occurs at the Rohingya Refugee camps", "id": "project-2", "sections": [ { "content": [ { "type": "paragraph", "text": "The funded project's objective is to manage the major cases occurs at the Rohingya Refugee camps. The migrant children regularly face severe misconduct such as neglect, harm, abuse, exploitation, harrassment,etc, which are identified, monitored and solved by the appointed case workers. My responsibility under UNOCHA project as an MIS is to deploy the case management database, analysis collected data and report the cases, case progress and major case trends. However, already completed the first phase of this project and got assigned for the second phase till december 2027. My aim for the second phase is to report major case trends and highlight the extremely risky camps on maps. Moreover, the facility offices will be demonstrated on GIS based maps on upcoming day." } ] } ], "summary": "Working under the child protection program funded by United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA)." }, { "meta": "", "image": "projects/1791036356940-lo63is.png", "title": "Street children distribution map", "category": "gis-maps", "id": "project-3", "sections": [ { "content": [ { "type": "paragraph", "text": "The dots on the map highlighting the two types of street children; street living and home living according to the definition of street children by WHO. The children were identified first along the city and then coordinate values were taken by using Kobo toolbox. Hence the GPS values used to create the map by using Geographical Information System (GIS)" } ] } ], "summary": "The map demonstrating the spread of street children community in Chattogram city corporation." }, { "id": "project-4", "category": "research-projects", "title": "Knowledge Level of Women in Bangladesh about PCOS", "meta": "", "image": "projects/1791300000015-pcknw.png", "summary": "Research on how much women in Bangladesh know about polycystic ovary syndrome (PCOS) and on depression, anxiety, stress and total distress scores by PCOS status.", "sections": [ { "content": [ { "type": "paragraph", "text": "This research assesses the knowledge level of women in Bangladesh about PCOS and compares mean depression, anxiety, stress and total distress scores across PCOS status (Not Known, Positive, Negative). Knowledge was low for most women (63.7%), moderate for 21.5% and high for 14.7%. Mean scores for all four measures were highest among women with a positive PCOS status." }, { "type": "image", "image": "projects/1791300000015-pcknw.png", "alt": "Knowledge level of women about PCOS: low 263 (63.7%), moderate 89 (21.5%), high 61 (14.7%)." }, { "type": "image", "image": "projects/1791300000011-pcdep.png", "alt": "Depression mean score by PCOS status (Not Known, Positive, Negative)." }, { "type": "image", "image": "projects/1791300000012-pcanx.png", "alt": "Anxiety mean score by PCOS status (Not Known, Positive, Negative)." }, { "type": "image", "image": "projects/1791300000013-pcstr.png", "alt": "Stress mean score by PCOS status (Not Known, Positive, Negative)." }, { "type": "image", "image": "projects/1791300000014-pcdis.png", "alt": "Total distress mean score regarding PCOS status (Not Known, Positive, Negative)." } ] } ] }, { "id": "project-5", "category": "research-projects", "title": "Health Hazards Among E-waste Recyclers in Chattogram City", "meta": "Data collected January to March 2024", "image": "projects/1791300000020-ewxtab.jpg", "summary": "Cross-sectional survey of 84 e-waste workers in Chattogram City Corporation on workplace injuries and health issues by working category (collecting, burning, dismantling).", "sections": [ { "content": [ { "type": "paragraph", "text": "A purposive cross-sectional survey of 84 e-waste recyclers in Chattogram City Corporation, collected through face-to-face interviews using Kobo Toolbox and analyzed in SPSS. Workers involved in burning and dismantling showed significant associations with cuts and burns, itching and skin problems, and red, itchy eyes (p = 0.00)." }, { "type": "image", "image": "projects/1791300000020-ewxtab.jpg", "alt": "Cross-tabulation of work involvement (collecting, burning, dismantling) and health issues among e-waste recyclers." } ] } ] }, { "id": "project-6", "category": "gis-maps", "title": "E-waste Study Area Map, Chattogram", "meta": "", "image": "projects/1791300000021-ewmap.jpg", "summary": "Study area map showing the locations of e-waste workers surveyed across Chattogram City Corporation, with Bangladesh as the locator map.", "sections": [ { "content": [ { "type": "paragraph", "text": "Study area map for the e-waste recycler health survey in Chattogram, showing surveyed e-waste locations across Sitakunda, Panchlaish, Khulshi, Pahartali, Halishahar, Double Mooring, Kotwali, Bakalia, Chandgaon and Chittagong Port, with the study area highlighted on a map of Bangladesh." } ] } ] }, { "id": "project-7", "category": "unocha", "title": "Field monitoring and FGD in Pahartali Landslide-prone area, Chittagong, and Hnilla, Teknaf, Bangladesh", "meta": "", "image": "projects/1791400000010-fm1.jpg", "summary": "Field monitoring visits and focus group discussions (FGD) in the landslide-prone area of Pahartali, Chittagong, and in Hnilla, Teknaf.", "sections": [ { "content": [ { "type": "paragraph", "text": "Field monitoring and focus group discussions (FGD) conducted in the landslide-prone area of Pahartali, Chittagong, and in Hnilla, Teknaf, Bangladesh." }, { "type": "image", "image": "projects/1791400000010-fm1.jpg", "alt": "Field monitoring" }, { "type": "image", "image": "projects/1791400000011-fm2.jpg", "alt": "Field monitoring" }, { "type": "image", "image": "projects/1791400000012-fgd1.jpg", "alt": "Focus group discussion (FGD)" }, { "type": "image", "image": "projects/1791400000013-fgd2.jpg", "alt": "Focus group discussion (FGD)" } ] } ] }, { "id": "project-8", "category": "research-projects", "title": "Street Children Research", "meta": "", "image": "projects/1791400000014-sc1.jpg", "summary": "Field research on street children.", "sections": [ { "content": [ { "type": "paragraph", "text": "Street Children Research." }, { "type": "image", "image": "projects/1791400000014-sc1.jpg", "alt": "Street Children Research field visit" } ] } ] } ] }