Geospatial Analysis: Innovation in GIS for Better Decision MakingMEASURE Evaluation
Discussion led by John Spencer and Mark Janko. This webinar shared new techniques in geospatial analysis and how they have the potential to transform data-informed decision making.
Application of gis and remote sensing in disease prevention and control withDr. Ramkesh Prasad
Remote sensing uses sensors to acquire information about objects or areas without direct contact. It can be passive, using natural radiation sources, or active, using artificial sources. GIS organizes spatial data in databases and allows for visualization and analysis. Both tools have many applications in public health, including disease surveillance, outbreak prediction and response, health resource allocation, and monitoring interventions over time. In Assam, a project used remote sensing and GIS along with epidemiological data to develop an early warning system for Japanese encephalitis outbreaks from 2002-2006. The NRHM in Assam has also created a web-based GIS system for health facility planning and management. Overall, remote sensing and GIS are valuable tools for improving public health when
This document discusses how geographic features are represented in GIS data structures. Spatial data represents the location of features, while attribute data describes characteristics. Features can be represented using vector or raster data models. Vector models store location data as x,y coordinates and connect them to form lines and polygons. Raster models divide space into a grid of cells and store a single value for each cell. Relational databases are commonly used to organize spatial and attribute data for GIS analysis and mapping.
Role of GIS in Health Care Management by Dr. Dipti MukherjiPriyanka_vshukla
Presentation on Role of GIS in Health Care Management by Dr. Dipti Mukherji during Seminar on Spatial Dimensions on Health Care - Use of GIS in Health Studies Organised by CEHAT and University of Mumbai on 24th Sep 2010
This document discusses probability sampling techniques using a hypothetical sampling frame list. It shows how a sample can be selected from the list randomly by assigning selection probabilities and then randomly choosing units from the list. Units are progressively selected and marked as "selected" or "not selected" to demonstrate the sampling process. The goal is to select a sample that accurately represents the population.
The document discusses various interpolation techniques used in GIS, including inverse distance weighted (IDW), spline, and kriging. IDW, spline, and kriging were analyzed in more depth. The study area includes states in the western US and weather station data was used, including station names, coordinates, elevation, and rain percentage. Different interpolation techniques were tested in ArcGIS and ArcScene to compare the results.
Geospatial Analysis: Innovation in GIS for Better Decision MakingMEASURE Evaluation
Discussion led by John Spencer and Mark Janko. This webinar shared new techniques in geospatial analysis and how they have the potential to transform data-informed decision making.
Application of gis and remote sensing in disease prevention and control withDr. Ramkesh Prasad
Remote sensing uses sensors to acquire information about objects or areas without direct contact. It can be passive, using natural radiation sources, or active, using artificial sources. GIS organizes spatial data in databases and allows for visualization and analysis. Both tools have many applications in public health, including disease surveillance, outbreak prediction and response, health resource allocation, and monitoring interventions over time. In Assam, a project used remote sensing and GIS along with epidemiological data to develop an early warning system for Japanese encephalitis outbreaks from 2002-2006. The NRHM in Assam has also created a web-based GIS system for health facility planning and management. Overall, remote sensing and GIS are valuable tools for improving public health when
This document discusses how geographic features are represented in GIS data structures. Spatial data represents the location of features, while attribute data describes characteristics. Features can be represented using vector or raster data models. Vector models store location data as x,y coordinates and connect them to form lines and polygons. Raster models divide space into a grid of cells and store a single value for each cell. Relational databases are commonly used to organize spatial and attribute data for GIS analysis and mapping.
Role of GIS in Health Care Management by Dr. Dipti MukherjiPriyanka_vshukla
Presentation on Role of GIS in Health Care Management by Dr. Dipti Mukherji during Seminar on Spatial Dimensions on Health Care - Use of GIS in Health Studies Organised by CEHAT and University of Mumbai on 24th Sep 2010
This document discusses probability sampling techniques using a hypothetical sampling frame list. It shows how a sample can be selected from the list randomly by assigning selection probabilities and then randomly choosing units from the list. Units are progressively selected and marked as "selected" or "not selected" to demonstrate the sampling process. The goal is to select a sample that accurately represents the population.
The document discusses various interpolation techniques used in GIS, including inverse distance weighted (IDW), spline, and kriging. IDW, spline, and kriging were analyzed in more depth. The study area includes states in the western US and weather station data was used, including station names, coordinates, elevation, and rain percentage. Different interpolation techniques were tested in ArcGIS and ArcScene to compare the results.
Optical remote sensing uses visible, near infrared, and shortwave infrared sensors to form images of the Earth's surface by detecting solar radiation reflected from targets. Different materials reflect and absorb light differently at different wavelengths, allowing targets to be differentiated in optical remote sensing images based on their spectral signatures. This document describes two case studies that used optical remote sensing to map bamboo life cycles in the Amazon and flooded areas caused by a hurricane in Texas. In both cases, indices like NDVI and NDWI that measure vegetation greenness and water content changed predictably between images, allowing researchers to accurately map phenological and flooding changes over time.
Minning Application and Remote Sensing Using Aster ImageryHrishikesh Satpute
CONTENTS
1. INTRODUCTION
2. MINING SCENARIO IN INDIA
3. ALL ABOUT ‘ASTER’
4. APPLICATIONS OF ASTER
5. REMOTE SENSING IN MINING
6. GIS FOR MINERAL EXPLORATION
7. CASE STUDIES & ANALYSIS
Geophysical techniques work through applying one of several types of force to the ground, to measure the
resulting energy with use of geophysical equipment and infer the geology from this. Geophysics is generally
much quicker than the aforementioned methods, however, requires more data processing (oìce-based work)
to develop the geological picture. A great advantage of these methods is that certain instruments can be
attached to small aircraft for covering large areas during regional airborne surveys. This provides sparser
geological information, but can highlight potential metal anomalies on a county-country scale, which can be
followed up by more detailed, ground-based geophysical surveys. However, as the material is being tested
indirectly, there is no 100% guarantee of its conclusions; in addition to being susceptible to contamination by
many man-made metallic structures e.g. power-lines. Therefore, should geophysical surveys prove suìciently
interesting, drilling will be required afterwards to conêrm the accuracy of the results.
This document provides an introduction to geographic information systems (GIS) and mapping software. It discusses that GIS integrates spatial data by capturing, storing, analyzing, displaying, and outputting different layers of information. These layers can represent data as either raster images made of cells or vector features defined by points, lines, and polygons with associated attributes. The document recommends QGIS as open source software that is easy to learn and has an active user community for creating and analyzing maps.
This document discusses durable solutions for internally displaced persons (IDPs), including their right to return and strategies for reconstruction and rehabilitation. It identifies key principles like community participation, evidence-based approaches, and avoiding harm. Tools like displacement tracking matrices and geographic information systems can help monitor IDPs and plan responses. The case of Aceh, Indonesia demonstrates how decentralizing recovery efforts and cash transfers can aid durable solutions. Environmental impact assessments also support sustainable humanitarian responses. Aerial photos document the destruction of Baga, Nigeria from insurgent attacks. Durable solutions require coordinated efforts between humanitarian organizations using rights-based frameworks.
UN-GGIM is a United Nations initiative that aims to coordinate global geospatial information management. It was established in 2011 to address issues such as improving policy and legal frameworks, addressing global challenges, and building geospatial capacity. The document discusses UN-GGIM's history, mandates, regional entities, and a report on future trends. It also covers topics like how GIS is used by national statistical offices and for sustainable development goals monitoring through case studies. The role of governments in providing geospatial data and engaging citizens is examined, as well as challenges and recommendations for reaching developing countries.
This presentation summarizes a study on forest fire risk mapping in Kailali District, Nepal. The objectives were to understand forest fire risk using GIS and remote sensing techniques. Data was collected on land use/cover, DEM, settlements, and roads. This data was analyzed in ArcGIS by reclassifying influencing factors like slope, aspect, elevation, proximity to roads and settlements based on weights. A weighted overlay was used to develop a fire risk index map categorized into high, medium, and low risk zones. The results found 2514.876 sq km of high risk zone, 657.489 sq km of medium risk zone, and 108.146 sq km of low risk zone.
This document discusses inverse distance weighting (IDW) interpolation, which is a technique used to estimate unknown values between known data points. IDW assumes that points closer to one another are more alike than distant points. The interpolated value is a weighted average of known points, with the weights being inversely proportional to the distances. This allows for the creation of continuous surfaces like elevation or temperature from point data. A case study examines the relationship between weekly rainfall patterns and dengue outbreaks in Sri Lanka using IDW and GIS tools to model spatial and temporal associations and identify potential risk areas.
R is a free software environment for statistical computing and graphics. It can be used for spatial data analysis and GIS tasks. Spatial data such as points, polygons, and raster files can be imported and analyzed in R using specialized packages. Two case studies demonstrated using R for spatial interpolation of temperature data, LiDAR data processing to create digital elevation models, and developing online viewers for spatial datasets. R allows for reproducible analysis through scripting and has numerous packages that implement statistical procedures, graphics, and interfaces with GIS software like GRASS and ArcGIS.
This document discusses the key functions of a geographic information system (GIS). It explains that a GIS allows users to capture, store, query, analyze, display and output geographic data. It describes the vector and raster data models used to store spatial data. The document also outlines the three main views of a GIS - the geovisualization view which includes maps, the geodata view which is the spatial database, and the geoprocessing view which involves tools to transform and derive new information from existing datasets. Finally, it discusses some key concepts for GIS maps including layers, features, attributes, and scale.
This document discusses the history and applications of geographic information systems (GIS) with a focus on its use in public health. It provides background on GIS, describing it as a set of tools for collecting, storing, manipulating, and displaying spatial data. The document outlines the history of GIS from early maps in the 1850s to the development of computer-based systems in the 1960s-1980s. It then discusses various uses of GIS in public health including disease mapping and surveillance, environmental health analysis, and health resource planning and accessibility analysis. Specific examples of GIS applications in Nepal are also mentioned.
This document provides an overview of geographical information systems (GIS). It discusses that GIS is a computer system for capturing, storing, analyzing and displaying spatial data. The document outlines the history of GIS, its components including hardware, software and data, common data structures like raster and vector, and procedures for spatial analysis and querying. It also discusses applications of GIS in areas like public health for disease mapping and planning interventions. Remote sensing, global positioning systems and their uses are summarized. The document concludes with a SWOT analysis of GIS.
1. GIS can be used for data management efficiency through DBMS which allows storage, retrieval, and access of large amounts of spatial data.
2. Military applications include analyzing terrain for combat through GIS and remote sensing to collect spatial data to support effective decision making.
3. Other applications include mapping health facilities and diseases, tracking wildlife populations, disaster management in telecommunications, crime analysis, agriculture and mining resource planning, and property valuation for taxation.
4. Limitations include lack of awareness of GIS potential, effort to digitize analog data, technical capacity to interpret spatial data, and challenges representing 3D and 4D environmental data sets.
“Mouza” is a geographic extent using widely in Bangladesh since early 19th century. Generally mouza is required very much at the time of land purchasing or selling. Urban planners and other decision makers often need super imposed mouza maps in digital format for implementing development projects. So the old, hand drawn mouza maps are needed to be digitized in vector format then. ArcScan extension of ArcGIS is a fantastic option to vectorize the Mouza Maps automatically. But the process is not an one tool approach. The whole process is displayed in this slide as much as I could. But I request you to not follow the process blindly. Understand the basics.
This document discusses geographic information systems (GIS) and their applications in public health. GIS allows users to capture, store, analyze and visualize spatial health data on maps. It has been used historically to identify relationships between location and disease. Today, GIS supports public health planning and management by helping to optimize resource allocation, target interventions, and monitor disease trends and the impact of interventions over time.
Hardware and software requirements for gisSumant Diwakar
This document discusses hardware and software requirements for geographic information systems (GIS). It recommends minimum hardware specifications for basic GIS tasks including processors, RAM, display, disk space, and operating systems. Larger projects may require more powerful dual or quad core machines. A variety of proprietary GIS software packages are also listed from vendors like ESRI, Autodesk, Intergraph, and others. Organizations should evaluate their goals, applications, data needs, and budgets to determine the best GIS hardware and software solutions.
The document discusses different geodatabase formats and their benefits. It explains that geodatabases store geospatial and attribute data together, unlike shapefiles. The main geodatabase types are file geodatabases, personal geodatabases, and ArcSDE geodatabases. Feature datasets are used to define projections, extents and other rules within a geodatabase. Additional functionality includes topology, networks and normalization.
Government has huge amounts of information but how can this be effectively managed and delivered through the web? This session will ‘lift the lid’ on web mapping technology and identify some of the key issues that must be addressed to achieve a successful outcome.
The NSW government SIX Viewer web mapping portal will be used as a case study to demonstrate how terabytes of data can be integrated and delivered via the Internet.
HOT OSM Community mapping in Lower Shire, MalawiSeverin Menard
OpenStreetMap (OSM) is a collaborative project to create a free and editable map of the world. The document discusses using OSM for community mapping in Malawi to improve flood preparedness. It describes training local mappers on collecting geospatial data using tools like Field Papers. The goal is to involve government, universities, and NGOs to build mapping capacity and make the data accessible on the Malawi Open Spatial Data Portal for contingency planning using the InaSAFE tool.
Optical remote sensing uses visible, near infrared, and shortwave infrared sensors to form images of the Earth's surface by detecting solar radiation reflected from targets. Different materials reflect and absorb light differently at different wavelengths, allowing targets to be differentiated in optical remote sensing images based on their spectral signatures. This document describes two case studies that used optical remote sensing to map bamboo life cycles in the Amazon and flooded areas caused by a hurricane in Texas. In both cases, indices like NDVI and NDWI that measure vegetation greenness and water content changed predictably between images, allowing researchers to accurately map phenological and flooding changes over time.
Minning Application and Remote Sensing Using Aster ImageryHrishikesh Satpute
CONTENTS
1. INTRODUCTION
2. MINING SCENARIO IN INDIA
3. ALL ABOUT ‘ASTER’
4. APPLICATIONS OF ASTER
5. REMOTE SENSING IN MINING
6. GIS FOR MINERAL EXPLORATION
7. CASE STUDIES & ANALYSIS
Geophysical techniques work through applying one of several types of force to the ground, to measure the
resulting energy with use of geophysical equipment and infer the geology from this. Geophysics is generally
much quicker than the aforementioned methods, however, requires more data processing (oìce-based work)
to develop the geological picture. A great advantage of these methods is that certain instruments can be
attached to small aircraft for covering large areas during regional airborne surveys. This provides sparser
geological information, but can highlight potential metal anomalies on a county-country scale, which can be
followed up by more detailed, ground-based geophysical surveys. However, as the material is being tested
indirectly, there is no 100% guarantee of its conclusions; in addition to being susceptible to contamination by
many man-made metallic structures e.g. power-lines. Therefore, should geophysical surveys prove suìciently
interesting, drilling will be required afterwards to conêrm the accuracy of the results.
This document provides an introduction to geographic information systems (GIS) and mapping software. It discusses that GIS integrates spatial data by capturing, storing, analyzing, displaying, and outputting different layers of information. These layers can represent data as either raster images made of cells or vector features defined by points, lines, and polygons with associated attributes. The document recommends QGIS as open source software that is easy to learn and has an active user community for creating and analyzing maps.
This document discusses durable solutions for internally displaced persons (IDPs), including their right to return and strategies for reconstruction and rehabilitation. It identifies key principles like community participation, evidence-based approaches, and avoiding harm. Tools like displacement tracking matrices and geographic information systems can help monitor IDPs and plan responses. The case of Aceh, Indonesia demonstrates how decentralizing recovery efforts and cash transfers can aid durable solutions. Environmental impact assessments also support sustainable humanitarian responses. Aerial photos document the destruction of Baga, Nigeria from insurgent attacks. Durable solutions require coordinated efforts between humanitarian organizations using rights-based frameworks.
UN-GGIM is a United Nations initiative that aims to coordinate global geospatial information management. It was established in 2011 to address issues such as improving policy and legal frameworks, addressing global challenges, and building geospatial capacity. The document discusses UN-GGIM's history, mandates, regional entities, and a report on future trends. It also covers topics like how GIS is used by national statistical offices and for sustainable development goals monitoring through case studies. The role of governments in providing geospatial data and engaging citizens is examined, as well as challenges and recommendations for reaching developing countries.
This presentation summarizes a study on forest fire risk mapping in Kailali District, Nepal. The objectives were to understand forest fire risk using GIS and remote sensing techniques. Data was collected on land use/cover, DEM, settlements, and roads. This data was analyzed in ArcGIS by reclassifying influencing factors like slope, aspect, elevation, proximity to roads and settlements based on weights. A weighted overlay was used to develop a fire risk index map categorized into high, medium, and low risk zones. The results found 2514.876 sq km of high risk zone, 657.489 sq km of medium risk zone, and 108.146 sq km of low risk zone.
This document discusses inverse distance weighting (IDW) interpolation, which is a technique used to estimate unknown values between known data points. IDW assumes that points closer to one another are more alike than distant points. The interpolated value is a weighted average of known points, with the weights being inversely proportional to the distances. This allows for the creation of continuous surfaces like elevation or temperature from point data. A case study examines the relationship between weekly rainfall patterns and dengue outbreaks in Sri Lanka using IDW and GIS tools to model spatial and temporal associations and identify potential risk areas.
R is a free software environment for statistical computing and graphics. It can be used for spatial data analysis and GIS tasks. Spatial data such as points, polygons, and raster files can be imported and analyzed in R using specialized packages. Two case studies demonstrated using R for spatial interpolation of temperature data, LiDAR data processing to create digital elevation models, and developing online viewers for spatial datasets. R allows for reproducible analysis through scripting and has numerous packages that implement statistical procedures, graphics, and interfaces with GIS software like GRASS and ArcGIS.
This document discusses the key functions of a geographic information system (GIS). It explains that a GIS allows users to capture, store, query, analyze, display and output geographic data. It describes the vector and raster data models used to store spatial data. The document also outlines the three main views of a GIS - the geovisualization view which includes maps, the geodata view which is the spatial database, and the geoprocessing view which involves tools to transform and derive new information from existing datasets. Finally, it discusses some key concepts for GIS maps including layers, features, attributes, and scale.
This document discusses the history and applications of geographic information systems (GIS) with a focus on its use in public health. It provides background on GIS, describing it as a set of tools for collecting, storing, manipulating, and displaying spatial data. The document outlines the history of GIS from early maps in the 1850s to the development of computer-based systems in the 1960s-1980s. It then discusses various uses of GIS in public health including disease mapping and surveillance, environmental health analysis, and health resource planning and accessibility analysis. Specific examples of GIS applications in Nepal are also mentioned.
This document provides an overview of geographical information systems (GIS). It discusses that GIS is a computer system for capturing, storing, analyzing and displaying spatial data. The document outlines the history of GIS, its components including hardware, software and data, common data structures like raster and vector, and procedures for spatial analysis and querying. It also discusses applications of GIS in areas like public health for disease mapping and planning interventions. Remote sensing, global positioning systems and their uses are summarized. The document concludes with a SWOT analysis of GIS.
1. GIS can be used for data management efficiency through DBMS which allows storage, retrieval, and access of large amounts of spatial data.
2. Military applications include analyzing terrain for combat through GIS and remote sensing to collect spatial data to support effective decision making.
3. Other applications include mapping health facilities and diseases, tracking wildlife populations, disaster management in telecommunications, crime analysis, agriculture and mining resource planning, and property valuation for taxation.
4. Limitations include lack of awareness of GIS potential, effort to digitize analog data, technical capacity to interpret spatial data, and challenges representing 3D and 4D environmental data sets.
“Mouza” is a geographic extent using widely in Bangladesh since early 19th century. Generally mouza is required very much at the time of land purchasing or selling. Urban planners and other decision makers often need super imposed mouza maps in digital format for implementing development projects. So the old, hand drawn mouza maps are needed to be digitized in vector format then. ArcScan extension of ArcGIS is a fantastic option to vectorize the Mouza Maps automatically. But the process is not an one tool approach. The whole process is displayed in this slide as much as I could. But I request you to not follow the process blindly. Understand the basics.
This document discusses geographic information systems (GIS) and their applications in public health. GIS allows users to capture, store, analyze and visualize spatial health data on maps. It has been used historically to identify relationships between location and disease. Today, GIS supports public health planning and management by helping to optimize resource allocation, target interventions, and monitor disease trends and the impact of interventions over time.
Hardware and software requirements for gisSumant Diwakar
This document discusses hardware and software requirements for geographic information systems (GIS). It recommends minimum hardware specifications for basic GIS tasks including processors, RAM, display, disk space, and operating systems. Larger projects may require more powerful dual or quad core machines. A variety of proprietary GIS software packages are also listed from vendors like ESRI, Autodesk, Intergraph, and others. Organizations should evaluate their goals, applications, data needs, and budgets to determine the best GIS hardware and software solutions.
The document discusses different geodatabase formats and their benefits. It explains that geodatabases store geospatial and attribute data together, unlike shapefiles. The main geodatabase types are file geodatabases, personal geodatabases, and ArcSDE geodatabases. Feature datasets are used to define projections, extents and other rules within a geodatabase. Additional functionality includes topology, networks and normalization.
Government has huge amounts of information but how can this be effectively managed and delivered through the web? This session will ‘lift the lid’ on web mapping technology and identify some of the key issues that must be addressed to achieve a successful outcome.
The NSW government SIX Viewer web mapping portal will be used as a case study to demonstrate how terabytes of data can be integrated and delivered via the Internet.
HOT OSM Community mapping in Lower Shire, MalawiSeverin Menard
OpenStreetMap (OSM) is a collaborative project to create a free and editable map of the world. The document discusses using OSM for community mapping in Malawi to improve flood preparedness. It describes training local mappers on collecting geospatial data using tools like Field Papers. The goal is to involve government, universities, and NGOs to build mapping capacity and make the data accessible on the Malawi Open Spatial Data Portal for contingency planning using the InaSAFE tool.
Online Mapping Patterns in 2013 and BeyondBlue Raster
1) Online maps are becoming more common and expected by users, especially on mobile devices. Maps provide a geospatial context that is useful for international aid and development organizations.
2) Trends in online mapping include focused applications, open data APIs, near real-time data, curated map experiences on mobile, and story maps to engage stakeholders.
3) Mobile mapping is growing rapidly as most internet devices are now mobile. Organizations should ensure mobile is part of their online mapping strategy to reach the billions of people expected to be online globally by 2014, especially in developing areas like Africa.
The document discusses various tools for crowdsourcing and crowdfeeding projects, including Ushahidi, OpenStreetMap, OpenAction, and FrontlineSMS. It provides examples of how these tools have been used for mapping and gathering reports in Kenya and Pakistan. Specific projects highlighted are MapKibera, which mapped slum areas in Nairobi, and PakReport, which mapped flood damage and humanitarian needs in Pakistan.
This toolkit provides the methodology for focusing the data-gathering power of existing communities, increasing their capacity to work together and building awareness of the potential of the data created by this work. It aims to help citizens identify and articulate their own problems using the supplementing data in their communities.
Introduction to OpenStreetMap, its extracts, and relation to Project NOAHErvin Malicdem
An introduction to the basics of editing in OpenStreetMap, extracts, Schadow1 Expeditions GPS map of the Philippines and its importance to the development of risk analysis map by Project NOAH (Nationwide Operational Assessment of Hazards) and its ISAIAH component (Integrated Scenario-based Assessment of Impacts and Hazards.
Maps from the Crowd in Crisis context / OpenStreetMap Response to humanitaria...Pierre Béland
Maps from the Crowd in Crisis context
OpenStreetMap Response to humanitarian crisis
Haiyan Typhoon / 2013 and Ebola Epidemic / 2014 Cases
Pierre Béland Humanitarian OpenStreetMap Team
IHTC 2014, Montréal, 2014-06-01
Map kathmandu osm nepal presentation - publicRajeev Amatya
The document discusses an initiative called MapKathmandu that aims to create a detailed and free online map of the Kathmandu Valley using crowdsourcing. A group of students and professionals see a need for an improved map to help with disaster relief, navigation, and new location-based apps. Their plan is to map streets, buildings, landmarks and other points of interest in Kathmandu onto OpenStreetMap with the help of volunteers. They believe an open community mapping project is the best way to develop an accurate and up-to-date digital map of the area.
This document provides a guide for conducting a city-wide assessment of public spaces. It outlines a four-part process for assessment: (1) pre-field work, (2) data collection and quality checks, (3) reporting, and (4) post-assessment. The goal is to understand a city's public space network, distribution, accessibility, quantity, and quality to inform public space policy. It provides steps for each part, including developing maps and statistics, validation workshops, and a final report with findings and recommendations. The guide is intended to help local governments better plan for and manage their public space networks.
This document discusses geographic information systems (GIS) and their uses in public health. It begins with defining GIS as a system for capturing, storing, editing, integrating, querying, analyzing and distributing geographic data. It then provides a brief history of GIS and its use in public health applications since the 19th century. Examples are given of how GIS has been used by organizations like the WHO for disease mapping and surveillance. The advantages of GIS for public health include improved understanding of community health needs, analysis of health emergencies, and planning interventions.
How OpenStreetMap responds to Disaster Crisis : Digital Revolutions Workshop ...Pierre Béland
Digital Revolutions: New Information Technology
Tools in 21st Century Politics
How OpenStreetMap respond to Disaster Crisis
Pierre Béland, Humanitarian OpenStreetMap Team Volunteer
Norvegian Center for Humanitarian Studies (CMI), Bergen, Norway, 2015-11-02
The RED strategy was developed by WHO, UNICEF, and other partners to improve immunization systems. It encourages districts and health facilities to identify local problems and solutions through microplanning using their own data. Key components of the RED strategy include re-establishing outreach services, supportive supervision, linking with communities, monitoring and using data, and planning resources. The document outlines the 10 step microplanning process used to implement the RED strategy at health facilities to strengthen immunization and overall health systems.
Participatory mapping with OSM in Ulan Bator, Mongolia: general presentation ...Severin Menard
This document summarizes OpenStreetMap (OSM), a collaborative project to create a free editable map of the world. OSM is created through voluntary contributions and allows anyone to map physical objects and features. The quality of OSM data has been shown to be comparable to commercial maps when an area has multiple contributors and quality assurance. OSM data and tools have been useful for humanitarian responses, particularly for crisis mapping after the 2010 Haiti earthquake. OSM data can be accessed and edited through online and mobile tools to support activities like routing, thematic mapping, and data exports.
OpenStreetMap Using, Tools, Services & Hows its changed Humanitarian Responsechippy
OpenStreetMap is a collaborative project to create a free editable map of the world. The document discusses how to contribute map data by making small edits using simple tools. It also describes how OpenStreetMap data is being used for humanitarian purposes such as crisis mapping and disaster response, providing an open alternative to proprietary mapping solutions. Over 240,000 users have contributed to OpenStreetMap, including 14,000 classified as active contributors.
OpenStreetMap (OSM): Mapping from the crowd and on the field open data prepa...Severin Menard
Presentation made at Crossroads Hotel, Lilongwe, Malawi, as part of the UN-SPIDER Technical Advisory Mission, Workshop Programme: Use of Space Technology in Disaster Risk Management, 10/18/2013
Openstreetmap and its value during emergenciesErvin Malicdem
This document discusses OpenStreetMap (OSM), a crowdsourced open-source map of the world. It provides examples of how OSM has been used in the Philippines, including by over 1000 contributors who have helped map the country. OSM data was extensively updated after Typhoon Haiyan to support humanitarian response, with over 4.7 million map changes made. The document outlines how OSM can be used for navigation, disaster management, and resilience in the Philippines.
Crowdsourcing, through OpenStreetMap, transformed disaster relief efforts in Haiti after the 2010 earthquake by providing highly detailed and up-to-date maps created by volunteers. Within two weeks, over a million objects were added to the maps of Haiti, becoming a critical resource for humanitarian organizations' search and rescue operations as well as aid distribution. The success of this effort proved that crowdsourcing can substantially help save lives in disasters from anywhere in the world.
Similar to Open mapping for health and humanitarian action using OpenStreetMap (20)
Managing missing values in routinely reported data: One approach from the Dem...MEASURE Evaluation
This Data for Impact webinar was held in December 2020. Access the recording and learn more at https://www.data4impactproject.org/resources/webinars/managing-missing-values-in-routinely-reported-data-one-approach-from-the-democratic-republic-of-the-congo/
This Data for Impact webinar took place October 29, 2020. Learn more at https://www.data4impactproject.org/resources/webinars/use-of-routine-data-for-economic-evaluations/
Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. More: https://www.data4impactproject.org/resources/webinars/routine-data-use-in-evaluation-practical-guidance/
Tuberculosis/HIV Mobility Study: Objectives and BackgroundMEASURE Evaluation
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Understanding Referral Networks for Adolescent Girls and Young WomenMEASURE Evaluation
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Data for Impact: Lessons Learned in Using the Ripple Effects Mapping MethodMEASURE Evaluation
The document summarizes experiences using the Ripple Effects Mapping (REM) method to evaluate development programs in Tanzania and Botswana. REM is a participatory method that engages stakeholders to visually map the different effects of a program. The summaries describe:
1) How REM was used to evaluate a governance program in Tanzania, including training facilitators, conducting interviews and group mapping sessions, and analyzing results.
2) Tailoring REM for evaluating a youth program in Botswana, such as adjusting questions for younger participants and capturing complex outcomes.
3) Lessons learned about facilitating REM, including the need for extensive training, tailoring the method to the population, and allowing time for discussion to fully explore outcomes
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Development and Validation of a Reproductive Empowerment ScaleMEASURE Evaluation
This document describes a study that developed and validated a Reproductive Empowerment Scale for use in Nigeria. Researchers created items to measure women's agency regarding their reproductive health and tested the scale's psychometric properties. The results supported the scale as a valid and reliable measure of reproductive empowerment for women in Nigeria.
Sustaining the Impact: MEASURE Evaluation Conversation on Maternal and Child ...MEASURE Evaluation
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like depression and anxiety.
Using Most Significant Change in a Mixed-Methods Evaluation in UgandaMEASURE Evaluation
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Lessons Learned In Using the Most Significant Change Technique in EvaluationMEASURE Evaluation
This document summarizes lessons learned from using the Most Significant Change (MSC) technique in evaluations conducted in five countries. The MSC technique involves collecting stories from participants about significant changes resulting from an intervention, analyzing the stories to identify themes, and sharing the stories with stakeholders. The document discusses strengths and limitations of MSC, provides examples of its application in different programs and countries, and identifies lessons learned. Key lessons are that MSC generates rich qualitative data but requires careful facilitation and training, and follow-up interviews can further strengthen learning from the approach.
Malaria Data Quality and Use in Selected Centers of Excellence in Madagascar:...MEASURE Evaluation
This document summarizes the results of a cross-sectional baseline survey assessing malaria data quality and use in health centers in Madagascar that were selected as Centers of Excellence to improve data practices. The survey found that while reporting completeness and timeliness were high, data accuracy remained an issue. Baseline performance on data quality indicators was similar between the intervention sites that would implement Centers of Excellence and control sites. The implementation of Centers of Excellence aims to drive improvements in data quality, analysis, and use for decision-making in Madagascar.
Evaluating National Malaria Programs’ Impact in Moderate- and Low-Transmissio...MEASURE Evaluation
The framework highlights the importance of routine surveillance data and confirmed malaria incidence for evaluating national malaria programs in low- and moderate-transmission settings. Process evaluations assess program performance and coverage to determine when impact evaluations are needed. Impact evaluations then measure reductions in malaria burden using methods like interrupted time series and constructed controls while accounting for other factors. Key challenges include defining intervention maturity and coverage thresholds needed to achieve measurable impact. The framework emphasizes continuous evaluation along the implementation and impact pathways to guide program decisions.
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MEASURE Evaluation's support between 2015-2018 likely contributed to significant improvements in Madagascar's malaria surveillance system. Key improvements included: 1) availability of guiding documents, 2) increased completeness and timeliness of facility and community reporting, and 3) establishment of a culture of data dissemination and use. Data quality, reporting rates, and staff capacity all significantly increased over this period according to the assessment. Continued support is needed as Madagascar works towards malaria elimination.
Lessons learned in using process tracing for evaluationMEASURE Evaluation
Access the recording for this Data for Impact (D4I) webinar at https://www.data4impactproject.org/lessons-learned-in-using-process-tracing-for-evaluation/
Use of Qualitative Comparative Analysis in the Assessment of the Actionable D...MEASURE Evaluation
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
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The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
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Our backs are like superheroes, holding us up and helping us move around. But sometimes, even superheroes can get hurt. That’s where slip discs come in.
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Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
Hiranandani Hospital in Powai, Mumbai, is a premier healthcare institution that has been serving the community with exceptional medical care since its establishment. As a part of the renowned Hiranandani Group, the hospital is committed to delivering world-class healthcare services across a wide range of specialties, including kidney transplantation. With its state-of-the-art facilities, advanced medical technology, and a team of highly skilled healthcare professionals, Hiranandani Hospital has earned a reputation as a trusted name in the healthcare industry. The hospital's patient-centric approach, coupled with its focus on innovation and excellence, ensures that patients receive the highest standard of care in a compassionate and supportive environment.
One health condition that is becoming more common day by day is diabetes.
According to research conducted by the National Family Health Survey of India, diabetic cases show a projection which might increase to 10.4% by 2030.
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22. Vaccination planning and fumigation
22
OK Great.
So how can I actually use this in my country / program?
(Some ideas)
Photo: MSF
23. Vaccination planning and fumigation
Photo: MSF
American Red Cross:
Identifying Measles vaccine
success and follow-up
locations in Malawi
24. Vaccination planning and fumigation
24
Kinshasa, DRC: August 2016
Yellow Fever – 10 million vaccinated
Photo: MSF
25. Data viz – malaria
Mapping for Malaria Elimination: As of today
600,000 km2 | 4.5M buildings | 4000 volunteers
26. Validate physical
enumeration
Plan + execute spray
campaigns with less time
and resources
Guide bednet distribution
and spray teams
efficiently
Visualise progress /
exceed minimum coverage
Identify breeding sites +
sprayable vs. non-sprayable
structures
Visualise program
activities e.g. refusal
rates across regions
Enable active surveillance,
not just passive
As malaria incidence goes
down maps are critical to
identify foci locations and
drivers
Malaria elimination:
OpenStreetMap use cases for M&E and intervention planning
27. CHAI is using data from OpenStreetMap to:
● Plan bednet distribution in Cambodia and Laos
● Plan spray campaigns in Botswana
● Define community boundaries in countries where there are no spatial files, and
identify communities which may benefit from malaria control programs in
Guatemala and Honduras
● Understand population size in areas where civil registration is low
● Increase active surveillance to communities they did not know existed
● Conduct village level sampling
Abt + Presidents Malaria Initiative are using OSM data to:
● Ensure coverage: validate physical household enumeration studies to ensure their
operations team visit all households, that they would otherwise miss
● Build a mobile data collection application for spray campaign Team Leaders, so
Spray Operators can enter data on houses they visit, view structures on a map that
have been sprayed, have been visited but not sprayed, and have yet to be visited, in
real-time based on a color coding scheme.
● Filter map views of the enumerated households based on the spray data collected,
such as refusal rates in different regions, can help drive management decisions to
ensure we achieve optimal spray coverage.
Malaria elimination:
Recent case studies
28. Case Management
Diagnosis and Treatment
LLIN IRS
Vector Control
Supporting OSM
Data
Operational data
derived from
OSM
* health facility locations
* marketplace and
population centers
* health facility locations
* marketplace and
population centers
* roads and other
infrastructure
information
* lakes/rivers/streams
* health facility catchment
area / access maps
* risk mapping
* health facility placement
maps
* health facility catchment
areas
* risk mapping
* LLIN coverage maps
* risk maps
* campaign coverage maps
* structure prioritization
maps
* marketplace and
population centers
* sprayable structures
(building footprints and
attribute information)
* roads and other
infrastructure information
* lakes/rivers/streams
29. Vaccination planning and fumigation
29
Six tips and tricks for getting your hands dirty
Photo: MSF
30. 30Photo: MSF
ArcGIS Editor for
OpenStreetMap plugin
QGIS: Built-in
Tip #1 – Use OSM as a base layer in your maps
31. 31Photo: MSF
Tip #2 – Grab sector-specific data for your program:
export.hotosm.org
55. Get OpenStreetMap data
osm.org
QGIS / ArcGIS editor for OSM plugin
export.hotosm.org
Get open drone/satellite imagery:
openaerialmap.org
OSM in the field & on your phone:
fieldpapers.org / Maps.me /
openmapkit.org
Photo: MSF
Recap: free and open source tools!
Tyler Radford
@TylerSRadford
tyler.radford@hotosm.org
info@hotosm.org