scholarly journals From paper maps to digital maps: enhancing routine immunisation microplanning in Northern Nigeria

2019 ◽  
Vol 4 (Suppl 5) ◽  
pp. e001606 ◽  
Author(s):  
Leanne Dougherty ◽  
Masduq Abdulkarim ◽  
Fiyidi Mikailu ◽  
Usman Tijani ◽  
Kazeem Owolabi ◽  
...  
Keyword(s):  
Data Collection ◽  
Geographical Information Systems ◽  
Service Providers ◽  
Secondary Data ◽  
Geospatial Data ◽  
Geographical Information ◽  
Routine Immunisation ◽  
Digital Maps ◽  
Vaccination Strategies ◽  
Catchment Areas

Geographical information systems (GIS) can be effective decision-support tools. In this paper, we detail a GIS approach implemented by the Bauchi and Sokoto state primary healthcare development agencies in Nigeria to generate and convert routine immunisation (RI) paper maps to digital maps for microplanning. The process involved three stages: primary and secondary data collection and reconciliation, geospatial data processing and analysis, and production and validation of maps. The data collection and reconciliation stage identified a number of challenges with secondary data sources, including the need to standardise and reconcile health facility and settlement names. The study team was unable to apply population estimates generated from the Global Polio Eradication Initiative to RI planning because operational boundaries for polio activities are defined differently from RI activities. Application of open-source GIS software enabled the combination of multiple datasets and analysis of geospatial data to calculate catchment areas for primary health centres (PHCs) and assign vaccination strategies to communities. The activity resulted in the development of PHC catchment area digital maps, and captured next steps and lessons learnt for RI microplanning in the two states. While the digital maps provided input into the microplanning process, more work is needed to build capacity, standardise processes and ensure the quality of data used to generate the maps. RI service providers and communities must be engaged in the process to validate, understand the data, the contextual factors that influence decisions about which vaccination strategies RI microplans include and how resources are allocated.

Urban Information Systems in Turkish Local Governments

2008 ◽  
pp. 2673-2681
Author(s):  
Koray Velibeyoglu
Keyword(s):  
Information Systems ◽  
Public Sector ◽  
Local Governments ◽  
Geographical Information Systems ◽  
Development Process ◽  
Rapid Development ◽  
Geographical Information ◽  
Digital Maps ◽  
Public Sector Organizations

Since the end of 1980s, different sectors have implemented geographical information systems (GIS) in Turkey. A study on GIS market in Turkey indicates that municipalities are the primary customers (Gülersoy & Yigiter, 1999). One of the earliest GIS projects in Turkey began with the production of digital maps covering the boundaries of Istanbul Metropolitan Municipality in 1987. Since 1994, a rapid development process has occurred with the widespread diffusion of GIS especially in universities and large public sector organizations respectively. However, the early city-wide municipal GIS projects were initiated only after 1996 (Ucuzal, 1999).

INTEGRATING SCAT DATA AND GEOGRAPHICAL INFORMATION SYSTEMS TO SUPPORT SHORELINE CLEANUP OPERATIONS

1997 ◽  
Vol 1997 (1) ◽  
pp. 499-506 ◽  
Author(s):  
Alain Lamarche ◽  
Edward H. Owens
Keyword(s):  
Decision Making ◽  
Information System ◽  
Data Analysis ◽  
Data Collection ◽  
Software Package ◽  
Geographical Information Systems ◽  
Data Entry ◽  
Decision Makers ◽  
Geographical Information ◽  
Gis Technology

ABSTRACT An analysis of the work performed by the various teams involved in shoreline cleanup operations has been applied to the design of an approach for the integration of data collected by the SCAT process with electronic maps produced by geographical information system (GIS) technology. This has led to the implementation of a PC-based system that incorporates a database of SCAT information, a knowledge base on oil behavior and shoreline cleanup, and a GIS. The system provides support to data collection using the SCAT approach for field teams and to map-based data analysis for planners and managers. In the course of this work, a set of the maps that are considered the most useful for summarizing information about shoreline conditions was designed and evaluated. This evaluation initially involved consultation with individuals experienced in shoreline cleanup. The applicability of the map representation for decision making was further tested during spill drills. SCAT surveys generate a large volume of data that need to be captured and integrated. There is a risk that this large amount of information might overwhelm decision makers involved in the management of shoreline cleanup operations. The paper describes the various modifications that were made to the SHORECLEAN software package to provide some solutions to these problems. These include providing specialized SCAT data entry forms, automating the links between a SCAT database and a GIS, and producing map representations that provide clear, useful, and nonmisleading information for decision makers.

Building a geospatial data model for humanitarian response

2014 ◽  
Vol 12 (5) ◽  
pp. 383
Author(s):  
Nuala M. Cowan, DSc, MA, BA
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Information Management ◽  
Emergency Response ◽  
Data Model ◽  
Rapid Assessment ◽  
Geospatial Data ◽  
Geographical Information ◽  
Collection Management ◽  
Response Effort

Objective: An effectual emergency response effort is contingent upon the quality and timeliness of information provided to both the decision making and coordinating functions; conditions that are hard to guarantee in the urgent climate of the response effort. The purpose of this paper is to present a validated Humanitarian Data Model (HDM) that can assist in the rapid assessment of disaster needs and subsequent decision making. Substandard, inconsistent information can lead to poorly informed decisions, and subsequently, inappropriate response activities. Here we present a novel, organized, and fluid information management workflow to be applied during the rapid assessment phase of an emergency response. A comprehensive, peer-reviewed geospatial data model not only directs the design of data collection tools but also allows for more systematic data collection and management, leading to improved analysis and response outcomes.Design: This research involved the development of a comprehensive geospatial data model to guide the collection, management and analysis of geographically referenced assessment information, for implementation at the rapid response phase of a disaster using a mobile data collection app based on key outcome parameters. A systematic review of literature and best practices was used to identify and prioritize the minimum essential data variables.Subjects: The data model was critiqued for variable content, structure, and usability by a group of subject matter experts in the fields of humanitarian information management and geographical information systems.Conclusions: Consensus found that the adoption of a standardized system of data collection, management, and processing, such as the data model presented here, could facilitate the collection and sharing of information between agencies with similar goals, facilitate the better coordination of efforts by unleashing the power of geographic information for humanitarian decision support.

scholarly journals Development of an indicator of propensity to energy commercial losses using geospatial statistical techniques and socio-economic data: the case of AES Eletropaulo

2010 ◽  
Vol 11 (4) ◽  
pp. 178-197
Author(s):  
Eduardo de Rezende Francisco ◽  
Eduardo Bortotti Fagundes ◽  
Mateus Canniatti Ponchio ◽  
Felipe Zambaldi
Keyword(s):  
Customer Satisfaction ◽  
Energy Loss ◽  
Social Vulnerability ◽  
Regression Models ◽  
Geographical Information Systems ◽  
Secondary Data ◽  
Geographical Information ◽  
Coefficient Of Determination ◽  
Statistical Techniques ◽  
Social Vulnerability Index

Given the growing importance of integrating marketing and operations indicators to enhance business performance, and the availability of sophisticated geospatial statistical techniques, this paper draws on these concepts to develop an indicator of propensity to energy commercial losses. Loss management is a strategic topic among energy distribution companies, in particular for AES Eletropaulo. In such context, this work's objectives are: (i) to appropriate spatial auto-regressive models and geographically weighted regression (GWR) in measuring the cultural influence of neighborhood in customer behavior in the energy fraud act; (ii) to replace slum coverage areas by a regional social vulnerability index; and (iii) to associate energy loss with customer satisfaction indicators, in a spatial-temporal approach. Spatial regression techniques are revised, followed by a discussion on social vulnerability and customer satisfaction indicators. Operational data obtained from AES Eletropaulo's geographical information systems were combined with secondary data in order to generate predictive regression models, having energy loss as the response variable. Results show that the incorporation of market and social oriented data about customers substantially contribute to explicate energy loss - the coefficient of determination in the regression models rose from 17.76% to 63.29% when the simpler model was compared to the more complex one. Suggestions are made for future work and opportunities for the replication of the methodology in comparable contexts are discussed.

scholarly journals Dampak Wisata Bahari bagi Kondisi Ekonomi Masyarakat Desa Kolorai, Kecamatan Morotai Selatan, Kabupaten Pulau Morotai

2021 ◽  
Vol 2 (2) ◽  
pp. 7
Author(s):  
Muhamad Adhiyaksa ◽  
Annisa Mu'awanah Sukmawati
Keyword(s):  
Data Collection ◽  
Local Community ◽  
Service Providers ◽  
Positive Impact ◽  
Secondary Data ◽  
Local People ◽  
Primary Data ◽  
Tourist Attractions ◽  
Marine Tourism ◽  
The Impact

Kolorai Village has a variety of tourism potentials, they are cultural tourism, nature tourism, and marine tourism. Marine tourism is a type of tourism that has become the mainstay of Kolorai Village and has the opportunity to have a positive impact on the economic development of coastal communities. The research is located in Kolorai Village, South Morotai District, Morotai Island Regency. This study aims to analyze the impact of marine tourism on the economic conditions of the local people in Kolorai Village, South Morotai District, Morotai Island Regency. The research method conducted by using a quantitative method with Crosstab analysis techniques to exam the correlation between the existence of marine tourism and changes in income levels. Data collection was carried out by collecting primary data through questionnaires, interviews, and field observations as well as secondary data collection from document review. The results showed that the presence of marine tourism in Kolorai Village had a significant impact on the economy of the local community. This can be seen from the existence of new livelihood opportunities for local people who are not only as fishermen but also as marine tourism business actors and tourism accommodation service providers. The existence of accessibility and diversification of tourist attractions also affects the dynamics of community income in the marine tourism sector.

Challenges in Disaster Data Collection during Recent Disasters

2011 ◽  
Vol 26 (3) ◽  
pp. 196-201 ◽  
Author(s):  
Melinda Morton ◽  
J. Lee Levy
Keyword(s):  
Data Collection ◽  
Hurricane Katrina ◽  
Geographical Information Systems ◽  
Health Data ◽  
Geographical Information ◽  
Indian Ocean Tsunami ◽  
Gis Mapping ◽  
Data Repositories ◽  
Needs Assessments ◽  
Disaster Data

AbstractGathering essential health data to provide rapid and effective medical relief to populations devastated by the effects of a disaster-producing event involves challenges. These challenges include response to environmental hazards, security of personnel and resources, political and economic issues, cultural barriers, and difficulties in communication, particularly between aid agencies. These barriers often impede the timely collection of key health data such as morbidity and mortality, rapid health and sheltering needs assessments, key infrastructure assessments, and nutritional needs assessments. Examples of these challenges following three recent events: (1) the Indian Ocean tsunami; (2) Hurricane Katrina; and (3) the 2010 earthquake in Haiti are reviewed. Some of the innovative and cutting-edge approaches for surmounting many of these challenges include: (1) the establishment of geographical information systems (GIS) mapping disaster databases; (2) establishing internet surveillance networks and data repositories; (3) utilization of personal digital assistant-based platforms for data collection; (4) involving key community stakeholders in the data collection process; (5) use of pre-established, local, collaborative networks to coordinate disaster efforts; and (6) exploring potential civil-military collaborative efforts. The application of these and other innovative techniques shows promise for surmounting formidable challenges to disaster data collection.

scholarly journals A review of the economic impact of high levels of variance in fertiliser spreading systems

2013 ◽  
pp. 139-144
Author(s):  
M.C.E. Grafton ◽  
I.J. Yule ◽  
M.J. Manning
Keyword(s):  
Information Systems ◽  
Coefficient Of Variation ◽  
Geographical Information Systems ◽  
Service Providers ◽  
Economic Loss ◽  
Geographical Information ◽  
Yield Reduction ◽  
Positioning Systems ◽  
Product Flow ◽  
Gis Methods

Recent technological improvements in Geographical Information Systems (GIS) have made it possible to measure the accuracy of fertiliser spreading in the field. This demonstrates that the field coefficient of variation, "field CV", of actual spread patterns on farms is significantly higher than appreciated by most end users and service providers. Levels of field CV greater than 40% for spreading N fertiliser produces a 20% yield reduction, which in terms of urea on dairy pasture is potentially around $170 million nationally, and is economically significant. Manufacturers of fertiliser spreading equipment and ground-spread applicators have introduced improved delivery technologies which reduce field CV. Mostly these improvements relate to GPS use to assist drivers, automated maintenance of bout width, control of product flow and provision of automatic start-stop control. These improvements have the potential to reduce CV to 20% and reduce economic loss to 3%. Similarly, combinations of GIS methods and differential global positioning systems (DGPS) will assist pilots to reduce field CV from 70% to 40%. Keywords: Geographic Information Systems, coefficient of variation, fertiliser spreading accuracy, real time kinematic, spread pattern.

scholarly journals Quality Control and Management of Inspection and Data Collection

2000 ◽  
Author(s):  
Robert A. Simmons ◽  
Richard Kania
Keyword(s):  
Quality Control ◽  
Data Collection ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Quality Data ◽  
Inspection Time ◽  
Accurate Information ◽  
Pipeline System ◽  
Complex Data ◽  
Practical Applications

Geographical Information Systems, Data trending, and Risk Assessment Software are now available to help pipeline operators execute safe, cost effective maintenance programs. However, to use these analytical tools effectively, large amounts of data pertaining to the integrity of the pipeline system and its environment are required. For this reason, pipeline rehabilitation programs have evolved into complex data collecting procedures, the success of which depends on the ability to efficiently obtain reliable, consistent and accurate information. This article will describe new software technology and Quality Control programs, relating to inspection personnel, which have been developed to increase the efficiency and reliability of the information collected during a pipeline excavation. The pertinent functions of software programs discussed will involve compatibility between databases, on site data validation, code calculations, communications and CAD drawings for a comparison with In Line Inspection results. As well, the need for quality control or training programs will be discussed addressing both the theoretical and practical applications of pipeline integrity and it’s relevance to quality data collection. Previous projects using these approaches will be presented showing their effectiveness in significantly increasing the efficiency and accuracy of the information collected while reducing overall inspection time and cost.

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