John Spencer from MEASURE Evaluation discusses the use of geographic data in public health. MEASURE Evaluation is a USAID-funded project based at UNC-Chapel Hill that provides technical assistance and guidance on monitoring and evaluation. Spatial data and tools are important for monitoring health programs and outcomes, but health sectors often lag behind in utilizing these resources due to issues like isolated data silos, lack of common standards, and limited participation in national spatial data infrastructure efforts. Overcoming data challenges is more difficult than building technical capacity.
Maps are everywhere—on the Internet, in our car, and even on our mobile phone. Moreover, maps of the twenty-first century are not just paper diagrams folded like an accordion. Maps today are colorful, searchable, interactive, and shared. This transformation of the static map into dynamic and interactive multimedia reflects the integration of technological innovation and vast amounts of geographic data. The key technology behind this integration, and subsequently the maps of the twenty-first century, is geographic information systems or GIS.
AIDS/HIV Awareness through Maps and MashupsSusieQuinn
This assignment was created for the class LIBR 220 : Maps, GIS, and Map Librarianship, Fall Semester 2008, taught by Dr. Susan Aber at San José State University, School of Library and Information Management http://slisweb.sjsu.edu/.
The information discussed here highlight how visual information (map and cartogram displays) is helpful in making the public aware of health issues, specifically in AIDS / HIV.
The Art of Data Visualization - Course information Spring 2017Andrés Fortino, PhD
Invitation to an NYU online seminar for Spring 2017 - The course offers immersion into the creative process, the discipline of sketching and revising, and the practical use of data visualization tools. This is a studio course with intensive work with the instructor.
Data Mining, Predictive Analytics and Big Data - Course information Spring 2017Andrés Fortino, PhD
Invitation to an NYU online seminar for Spring 2017 - Gain an overview of the collection, analysis, and visualization of complex data, as well as the relevant pivotal concepts.
GIS in Public Health Research: Understanding Spatial Analysis and Interpretin...hpaocec
Geographic information systems (GIS) allow us to visualize data to better understand public health issues in our communities. Maps help recognize patterns for hypothesis generation; however, spatial analysis is necessary to substantiate relationships and produce meaningful outcomes. In this presentation we will discuss a few of the basic questions related to spatial analysis:
Achieving integration and country ownership through a data model and cooperat...MEASURE Evaluation
Presented at the PEPFAR conference on Health Information Systems Integration, Sustainability and Country Ownership (HISISCO) that took place August 9-13 by John Spencer.
Constraints to Accessing Micro-Credit and Loan Scheme of Bank of Agriculture ...ijtsrd
The study examined constraints to accessing micro-credit/loan scheme of Bank of Agriculture (BOA) among farmers in Enugu State, Nigeria: Implications for extension service delivery. Purposive and simple random sampling techniques were used in selecting one hundred (100) respondents for the study. Data were collected using structured interview schedule/questionnaire and analyzed using frequency, percentage, mean scores and standard deviation. The study revealed that micro-credit/ loan scheme (88.6%) were the most patronized among the rural farmers. Others such as ECOWAS, IFAD project and ATHP programme were not patronized at all, probably because the type of projects sponsored by these credit/loan scheme are not important to the respondents. The respondents (farmers) were highly constrained by late release of funds (M= 1.27), grace period too short (M= 1. 17), excessive bureaucracy (M= 1. 14), too short payback period (M= 1. 13), services not regular (M= 1. 13), among others. The Bank of Agriculture staff also noted that they were constrained by late release of approved funds by head quarters of the Bank of Agriculture (M= 1.43), loan diversion (M= 1.27), poor funding of field officers (M= 1.20), lack of awareness by borrowers (M= 1.10) and insufficient staff (M= 0.93). The study recommends that adequate awareness campaign on the availability of micro-credit/loan scheme by Bank of Agriculture should be created in order for the beneficiaries to be knowledgeable about it. It highlights the need for approval of more funds under the scheme and timely release of funds when needed especially during planting season in order to enable the farmers to make judicious use of it for optimum productivity. Mbah Evangeline N | Jiriko, R | Agada, M.O."Constraints to Accessing Micro-Credit and Loan Scheme of Bank of Agriculture among Farmers in Enugu State, Nigeria: Implications for Extension Service Delivery" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd89.pdf http://www.ijtsrd.com/other-scientific-research-area/other/89/constraints-to-accessing-micro-credit-and-loan-scheme-of-bank-of-agriculture-among-farmers-in-enugu-state-nigeria-implications-for-extension-service-delivery/mbah-evangeline-n
Maps are everywhere—on the Internet, in our car, and even on our mobile phone. Moreover, maps of the twenty-first century are not just paper diagrams folded like an accordion. Maps today are colorful, searchable, interactive, and shared. This transformation of the static map into dynamic and interactive multimedia reflects the integration of technological innovation and vast amounts of geographic data. The key technology behind this integration, and subsequently the maps of the twenty-first century, is geographic information systems or GIS.
AIDS/HIV Awareness through Maps and MashupsSusieQuinn
This assignment was created for the class LIBR 220 : Maps, GIS, and Map Librarianship, Fall Semester 2008, taught by Dr. Susan Aber at San José State University, School of Library and Information Management http://slisweb.sjsu.edu/.
The information discussed here highlight how visual information (map and cartogram displays) is helpful in making the public aware of health issues, specifically in AIDS / HIV.
The Art of Data Visualization - Course information Spring 2017Andrés Fortino, PhD
Invitation to an NYU online seminar for Spring 2017 - The course offers immersion into the creative process, the discipline of sketching and revising, and the practical use of data visualization tools. This is a studio course with intensive work with the instructor.
Data Mining, Predictive Analytics and Big Data - Course information Spring 2017Andrés Fortino, PhD
Invitation to an NYU online seminar for Spring 2017 - Gain an overview of the collection, analysis, and visualization of complex data, as well as the relevant pivotal concepts.
GIS in Public Health Research: Understanding Spatial Analysis and Interpretin...hpaocec
Geographic information systems (GIS) allow us to visualize data to better understand public health issues in our communities. Maps help recognize patterns for hypothesis generation; however, spatial analysis is necessary to substantiate relationships and produce meaningful outcomes. In this presentation we will discuss a few of the basic questions related to spatial analysis:
Achieving integration and country ownership through a data model and cooperat...MEASURE Evaluation
Presented at the PEPFAR conference on Health Information Systems Integration, Sustainability and Country Ownership (HISISCO) that took place August 9-13 by John Spencer.
Constraints to Accessing Micro-Credit and Loan Scheme of Bank of Agriculture ...ijtsrd
The study examined constraints to accessing micro-credit/loan scheme of Bank of Agriculture (BOA) among farmers in Enugu State, Nigeria: Implications for extension service delivery. Purposive and simple random sampling techniques were used in selecting one hundred (100) respondents for the study. Data were collected using structured interview schedule/questionnaire and analyzed using frequency, percentage, mean scores and standard deviation. The study revealed that micro-credit/ loan scheme (88.6%) were the most patronized among the rural farmers. Others such as ECOWAS, IFAD project and ATHP programme were not patronized at all, probably because the type of projects sponsored by these credit/loan scheme are not important to the respondents. The respondents (farmers) were highly constrained by late release of funds (M= 1.27), grace period too short (M= 1. 17), excessive bureaucracy (M= 1. 14), too short payback period (M= 1. 13), services not regular (M= 1. 13), among others. The Bank of Agriculture staff also noted that they were constrained by late release of approved funds by head quarters of the Bank of Agriculture (M= 1.43), loan diversion (M= 1.27), poor funding of field officers (M= 1.20), lack of awareness by borrowers (M= 1.10) and insufficient staff (M= 0.93). The study recommends that adequate awareness campaign on the availability of micro-credit/loan scheme by Bank of Agriculture should be created in order for the beneficiaries to be knowledgeable about it. It highlights the need for approval of more funds under the scheme and timely release of funds when needed especially during planting season in order to enable the farmers to make judicious use of it for optimum productivity. Mbah Evangeline N | Jiriko, R | Agada, M.O."Constraints to Accessing Micro-Credit and Loan Scheme of Bank of Agriculture among Farmers in Enugu State, Nigeria: Implications for Extension Service Delivery" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: http://www.ijtsrd.com/papers/ijtsrd89.pdf http://www.ijtsrd.com/other-scientific-research-area/other/89/constraints-to-accessing-micro-credit-and-loan-scheme-of-bank-of-agriculture-among-farmers-in-enugu-state-nigeria-implications-for-extension-service-delivery/mbah-evangeline-n
Evaluation of the Management and Utilization of Consitituency Development Fun...iosrjce
The contribution of Constituency Development Fund (CDF) on the development of education sector
in Kenya since its inception in the year 2003 has been critical. Some studies have shown that like any other
devolved funds, CDF implementation has faced challenges in its allocation criteria, problem of equity and
influence by politicians in its allocation and disbursement. Consequently there is need to assess the awareness
and knowledge of the CDF contribution to education development. These factors inhibit the funds effectiveness
in achieving its set objectives. The purpose of this study therefore, was to evaluate the management and
utilization of Constituency Development Fund on education development in Gem constituency, Siaya District. A
survey research design was adopted for the study since one of its merits is that it aids the researcher in
collecting original data for the purposes of describing a population which is too large to observe directly. The
study target population comprised of 37,468 households, 9 chiefs, 15 CDF committee members, 125
headteachers and the District Development Officer (DDO). The study adopted multi-stage sampling technique.
At stage one; the population was stratified into heads of households, head teachers, CDF committee members,
chiefs and DDO. In stage two, a sample of 384 households was obtained at 95% level of statistical significance
using the formula n=Z2
pq/d2
. The third stage involved selection of 48 households from each of the eight Kenya
National Bureau of Statistics sampling frame using systematic sampling technique. At stage four, saturated
sampling technique was adopted to select the CDF committee members, chiefs, DDO and the headteachers
while purposive sampling technique was adopted to pick these respondents. Data were collected through
interview schedules, key informant interviews, questionnaires and photography. The data analysis was done
using SPSS and Excel computer packages. Descriptive statistics was used to summarize the data so as to
enhance clarity and ease understanding of the information. Pie charts, bar, column, line graphs and tables were
used to present analysed information on various aspects of CDF.
Similar to Geographic data in public health: Lessons from the field (8)
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/
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Sustaining the Impact: MEASURE Evaluation Conversation on Health Informatics
Geographic data in public health: Lessons from the field
1. Geographic data
in public health:
lessons from the
field
John Spencer
MEASURE Evaluation
WWHGD Working Group Meeting
February 26, 2013
2. MEASURE Evaluation
USAID funded international
monitoring and evaluation project
Based at University of North
Carolina at Chapel Hill
3. MEASURE Evaluation use of
spatial data and tools
Spatial data and tools are an important
resource for monitoring and evaluation of
health programs and outcomes
4. MEASURE Evaluation
Technical assistance to USAID
missions, national governments, implementing
partners and USAID Washington
Trainings and workshops
Guidance documents
Participation in expert consultations
5. The big picture
Data barriers have hampered progress
more than technical/capacity barriers
7. Data Issues
A lot of paper based records
Data quality
Lack of geographic identifier
Some aspects of health can’t be tied to geography
neatly
Boundary/administrative issues
8. Health and social service sector as a
whole, lags behind other sectors in the
use of geospatial data and tools
9. Two data challenges to confront
1. Isolated data (data silos)
2. Participation of health sector in national spatial
data infrastructure efforts
15. Rural Poverty Estimates 2003 and Percent
Orphans Served by PEPFAR 2009,
Nyanza Province
Kisumu
Siaya
Nyando
Bondo
Rachuonyo
Suba
Nyamira
Homa
Bay Cash Transfer District
Kisii
Central
Gucha
Migori (South Kisii)
Kuria
Map produced May 2010
Poverty Source: Geographic Dimensions of Well Being in Kenya Report, Kenya Cent. Bur. of
Stat., 2003
Percent Orphans Served Calculated by dividing 2009 KPMS Number of Orphans Served (table 8.1) by
Estimated Number of OVC from NACC Prevalence Report, 2007 (Appx. 3)
17. Solutions for data silos
1. Requirements for inclusion of geographic
identifiers
2. Data standards
Data schema
File formats
Indicators
3. Some degree of openness with data
19. Health and social service sector as a whole,
lags behind other sectors in the use of
geospatial data and tools
20. Health sector and SDI
Data, capacity and knowledge sharing often
greater outside health sector
Leads to duplication of effort in health sector
Recreating boundary files
Inhibits capacity development
Leads to inaction in health sector
21. When you bring the health sector to the
SDI table, there are benefits across all
sectors
22. Health sector and SDI
CODIST Workshop, Addis Ababa Ethiopia 2009
Nigeria National Mapping Summit 2011
Goals of both events:
Bring together health sector and other sectors
Identify common goals, data needs, capacity
Build a community of practice
23. Health sector and SDI
CODIST
UNECA resolutions including committing member states to
ensure that key players in the health sector (especially Nat’l
AIDS Commissions) participate in NSDI
24. Health sector and SDI
Nigeria Mapping Summit
Identification of issues across all sectors affecting Nigeria’s
ability to improve health outcomes (especially coordination
of health and NSDI efforts)
Communique presented to executive and legislative
branches to encourage collaboration between NSDI and
HIV/AIDS efforts
25. We’re all in the same boat, when health
sector is a partner in SDI, all sectors benefit
26. Conclusion
More than most sectors, the health sector has deep
data roots, yet in many countries, lags behind other
sectors in use of spatial tools
Software can be taught, capacity in use of software
can be built, but strengthening data requires
addressing issues at a more systematic level
28. The research presented here has been supported by the
President’s Emergency Plan for AIDS Relief (PEPFAR) through
the United States Agency for International Development
(USAID) under the terms of MEASURE Evaluation cooperative
agreement GHA-A-00-08-00003-00. Views expressed are not
necessarily those of PEPFAR, USAID or the United States
government.
MEASURE Evaluation is implemented by the Carolina
Population Center at the University of North Carolina at Chapel
Hill in partnership with Futures Group, ICF International, John
Snow, Inc., Management Sciences for Health, and Tulane
University.
We’re all probably familiar with many of these issues. {REVIEW LIST}But I want to focus on something that was a common theme for our work in Phase III.
Case studies to illustrate two significant challenges