This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Kerala:Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Manipur:Trends in outcomes, determinants and intervent...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Andhra Pradesh: Trends in outcomes, determinants and i...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Nagaland:Trends in outcomes, determinants and interven...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Jammu & Kashmir: Trends in outcomes, determinants and ...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Maharashtra:Trends in outcomes, determinants and inter...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Tripura:Trends in outcomes, determinants and intervent...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Karnataka:Trends in outcomes, determinants and interve...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Kerala:Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Manipur:Trends in outcomes, determinants and intervent...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Andhra Pradesh: Trends in outcomes, determinants and i...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Nagaland:Trends in outcomes, determinants and interven...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Jammu & Kashmir: Trends in outcomes, determinants and ...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Maharashtra:Trends in outcomes, determinants and inter...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Tripura:Trends in outcomes, determinants and intervent...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Karnataka:Trends in outcomes, determinants and interve...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Himachal Pradesh: Trends in outcomes, determinants and...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Andaman & Nicobar Islands: Trends in outcomes, determi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Ladakh:Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Meghalaya:Trends in outcomes, determinants and interve...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Sikkim:Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Assam: Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Telangana:Trends in outcomes, determinants and interve...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in West Bengal:Trends in outcomes, determinants and inter...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Bihar: Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Gujarat: Trends in outcomes, determinants and interven...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Mizoram:Trends in outcomes, determinants and intervent...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI POSHAN@cgiar.org to receive the most updated version
POSHAN District Nutrition Profile_Munger_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Saharsa_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
Early interpretations of trends in nutrition outcomes, determinants and inter...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version.
Cost implications of scaling up essential nutrition interventions in India an...POSHAN
This presentation was made by Suman Chakrabarti (IFPRI) in the session on ‘Big numbers about small children: Research on nutrition financing’ at the POSHAN Conference "Delivering for Nutrition in India Learnings from Implementation Research", November 9–10, 2016, New Delhi.
For more information about the conference visit our website: www.poshan.ifpri.info
POSHAN District Nutrition Profile_Gopalganj_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Jehanabad_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Gaya_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
Ghana and Other Regional Successes - Francis ZotorGlo_PAN
Francis Zotor, President of the African Nutrition Society presents some examples of Ghana and other regional successes on the subject of Agriculture and Food Systems for Nutrition.
Accra, Ghana - 19 Nov 2015 - Third Global Panel Annual Meeting
IFPRI Country Representative for Bangladesh Dr. Akhter Ahmed presents panel data from IFPRI's Bangladesh Integrated Household Survey (BIHS) in New Delhi, India.
Improving nutrition in Himachal Pradesh: Trends in outcomes, determinants and...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Andaman & Nicobar Islands: Trends in outcomes, determi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Ladakh:Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Meghalaya:Trends in outcomes, determinants and interve...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Sikkim:Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Assam: Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Telangana:Trends in outcomes, determinants and interve...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in West Bengal:Trends in outcomes, determinants and inter...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Bihar: Trends in outcomes, determinants and interventi...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Gujarat: Trends in outcomes, determinants and interven...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Improving nutrition in Mizoram:Trends in outcomes, determinants and intervent...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI POSHAN@cgiar.org to receive the most updated version
POSHAN District Nutrition Profile_Munger_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Saharsa_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
Early interpretations of trends in nutrition outcomes, determinants and inter...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this, please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version.
Cost implications of scaling up essential nutrition interventions in India an...POSHAN
This presentation was made by Suman Chakrabarti (IFPRI) in the session on ‘Big numbers about small children: Research on nutrition financing’ at the POSHAN Conference "Delivering for Nutrition in India Learnings from Implementation Research", November 9–10, 2016, New Delhi.
For more information about the conference visit our website: www.poshan.ifpri.info
POSHAN District Nutrition Profile_Gopalganj_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Jehanabad_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Gaya_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
Ghana and Other Regional Successes - Francis ZotorGlo_PAN
Francis Zotor, President of the African Nutrition Society presents some examples of Ghana and other regional successes on the subject of Agriculture and Food Systems for Nutrition.
Accra, Ghana - 19 Nov 2015 - Third Global Panel Annual Meeting
IFPRI Country Representative for Bangladesh Dr. Akhter Ahmed presents panel data from IFPRI's Bangladesh Integrated Household Survey (BIHS) in New Delhi, India.
Budgets are the most solid expression of a government’s priorities, performances, decisions and intentions both at the national as well as the level of the states. This budget for children (BfC) in Meghalaya analysis is an attempt to understand the financial priorities of the government in regard to its commitments for the children in the state. The question being asked is how far has the Government been able to keep its promises towards the rights of the children through adequate budgetary provisions in the 2015-2016 state budget?
HAQ: Centre for Child Rights
B-1/2, Ground Floor
Malviya Nagar, New Delhi-110017
+91-11-26673599
+91-11-41077977
+91-11-26677412
+91-11-26674688 (Fax)
Email: info@haqcrc.org
Facebook: https://www.facebook.com/HaqCentreForChildRights/
Gender, women’s empowerment, and nutrition: A review, new evidence, and guide...IFPRI-PIM
This presentation was given by Hazel Malapit (IFPRI), as part of the Annual Scientific Conference hosted by the CGIAR Collaborative Platform for Gender Research. The event took place on 5-6 December 2017 in Amsterdam, the Netherlands, where the Platform is hosted (by KIT Royal Tropical Institute).
Read more: http://gender.cgiar.org/gender_events/annual-scientific-conference-capacity-development-workshop-cgiar-collaborative-platform-gender-research/
Gender, women’s empowerment, and nutrition: A review, new evidence, and guide...CGIAR
This presentation was given by Hazel Malapit (IFPRI), as part of the Annual Scientific Conference hosted by the CGIAR Collaborative Platform for Gender Research. The event took place on 5-6 December 2017 in Amsterdam, the Netherlands, where the Platform is hosted (by KIT Royal Tropical Institute).
Read more: http://gender.cgiar.org/gender_events/annual-scientific-conference-capacity-development-workshop-cgiar-collaborative-platform-gender-research/
This presentation captures how nutrition has changed in Burkina over time, by not only assessing nutrition relevant data,
programs and policies, but also on capturing experiential learning from those doing nutrition relevant
work in the region
•
Understand How Burkina Faso has created an enabling environment allowing for positive and sustained
change
•
Identify how multi sectoral nutrition relevant policies and programs are designed and implemented in
different contexts, what has worked well, what has not, why, and how Burkina Faso can share experiences
and approaches
•
Frame a constructive discussion in mobilizing future actions and commitments
• Use stories and storytelling to cut through complexity and engage audiences
How can health accounts inform health sector investments? Lessons from countr...HFG Project
Countries must have a firm grasp on their health financing landscape in order to ensure sufficient and effective use of resources. Health Accounts—an internationally standardized methodology that allows a country to understand the source, magnitude, and flow of funds through its health sector—provide a wealth of information on past spending. When combined with macroeconomic, health utilization, and health indicator data, Health Accounts provide powerful insights for health financing policy.
USAID’s Health Finance and Governance (HFG) project supports countries to institutionalize their Health Accounts so that they are produced regularly and efficiently, and are a useful tool for policymakers. In this technical briefing webinar, held June 29, 2016, HFG experts used country examples to demonstrate how Health Accounts have been (and can be) used to inform national health financing decisions. The experts also provided perspectives on the future of Health Accounts.
POSHAN District Nutrition Profile_Begusarai_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
The Power of Nutrition Progress Report: Jul-Dec 2020Valentina Ortis
The Power of Nutrition has been pooling nutrition investments and brokering partnerships since 2015 to reduce global rates of childhood stunting.
Six years on, our co-investments have enabled over 60 million people to access vital health and nutrition interventions.
As of December 2020, The Power of Nutrition has approved investments in 15 programmes across 12 countries in sub-Saharan Africa and Asia, representing a total co-investment portfolio worth $478 million.
The Power of Nutrition 2020 Progress Report: Jul-Dec 2020Valentina Ortis
The Power of Nutrition Progress Report highlights our 2020 core activities and achievements, as well as the lessons we learnt as we work towards ending the intergenerational cycle of undernutrition.
Reducing Maternal and Child Mortality in West Africa Improve Health Indicator...ijtsrd
World Health Organization provides reliable information about health performance of countries around the global. In most of their periodical data, sub Saharan Africa kept performing poorly in relation to most health indicators such as maternal mortality, child mortality, HIV AIDS rate, health financing, vaccination coverage for under 1year child and others. A major challenge in the health indicators is the high Total Fertility Rate of West African countries, with some countries recording Total Fertility Rate of six children per woman in her reproductive age. Many researchers have focused in Total Fertility reduction as a way of reducing the poor quality of health in West Africa, but fertility control efforts have not yielded the needed outcomes, as usage of contraceptives in the region is not encouraging. This study used World Health Organizations statistics data for 2017 to established the fact that Maternal and Infant Mortality can be reduced not only by reducing the high Total Fertility Rate but also by increasing the yearly expenditure on health, increasing vaccination coverage, increase the number of skilled birth attendants, while providing other needed health inputs. The paper revealed significant association between total fertility rate and maternal mortality, child mortality and stunting growth of children. The positive association between total fertility and other variables show the high total fertility rate is impacting negatively on the other variables. Hence the need to control fertility rate in West Africa as it will lead to heath systems improvement in the region. Ahotovi Thomas Ahoto | Lokmani Giri | Stanley Kofi Alor "Reducing Maternal and Child Mortality in West Africa: Improve Health Indicators for Mother and Child Well-Being" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33033.pdf Paper Url :https://www.ijtsrd.com/other-scientific-research-area/other/33033/reducing-maternal-and-child-mortality-in-west-africa-improve-health-indicators-for-mother-and-child-wellbeing/ahotovi-thomas-ahoto
Similar to Improving nutrition in Goa: Trends in outcomes, determinants and interventions between 2006 and 2020 (19)
Trends in nutrition outcomes, determinants and interventions between 2016 and...POSHAN
This slide deck is an evolving work in progress, with updates being made frequently. If you want to use or cite this,
please email us at IFPRI-POSHAN@cgiar.org to receive the most updated version
Adaptive implementation of a community nutrition and asset transfer program d...POSHAN
Yunhee Kang, PhD, Johns Hopkins School of Public Health
Heeyeon Kim, PhD, independent consultant
Eunsuk Lee, PhD, Korea Institute for International Economic Policy
Md.Iqbal Hossain, World Vision Bangladesh
Jaganmay Prajesh Biswas, World Vision Bangladesh
Julie Ruel-Bergeron, PhD, World Bank
Yoonho Cho, World Vision Korea
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
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this direction, experiments are conducted to implement pagerank in OpenMP using two
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06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
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Sum with different storage types (reduce)
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Sum with different modes (reduce)
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2. Performance of memcpy vs in-place based CUDA based vector element sum.
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Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Improving nutrition in Goa: Trends in outcomes, determinants and interventions between 2006 and 2020
1. Improving nutrition in Goa
Trends in outcomes, determinants and interventions
between 2006 and 2020
VERSION: Sep 22, 2021
This slide deck is an evolving work in progress, with updates being made
frequently. If you want to use or cite this, please email us at IFPRI-
POSHAN@cgiar.org to receive the most updated version
2. Nutrition on India’s policy agenda
• The Prime Minister's Overarching Scheme for Holistic Nutrition or POSHAN Abhiyaan or National Nutrition Mission, is
Government of India's flagship effort to improve maternal and child nutrition outcomes by 2022.
• India launched POSHAN Abhiyaan on 8th March 2018. The contours of the Mission are being updated in 2021.
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2014 (6 mo): New
administration
established);
Nutrition community
develops LAA 2014
2015: NITI Aayog
established; Policy
priorities: Digital
India, Aadhar,
Sanitation Mission;
nutrition still a
“learning agenda”.
Other social welfare
programs reviewed
(e.g., NREGA)
2016: Stated policy
priorities
implemented.
Nutrition mission
inputs received from
multiple groups; July
finance ministry
meeting on nutrition
2017: Final nutrition
strategy unveiled by
NITI Aayog in
September;
acknowledges
underlying issues
(poverty, etc.) but
actions still focused
on ICDS-health
programs
2018: Nutrition
Mission launched in
March – strong ICDS-
Health-Sanitation
link. Poverty/food
insecurity still not
central to agenda
2019: Election year.
Nutrition Mission
strongly visible and
implemented (focus
on BCC, awareness);
poverty alleviation
not part of nutrition
agenda
2021: Mission
POSHAN 2.0
launched in Union
Budget 2021 to
improve nutritional
outcomes.
3. Data and analysis
• Data sources for trends analysis: National Family Health Survey (NFHS-3 (2005-06), NFHS-4 (2015-16)
and NFHS-5 (2019-20)).
– Child nutrition outcomes: all child data
– Adult nutrition outcomes: man or woman data
– Immediate and underlying determinants: last-child data
– Intervention coverage: last-child data
• Data sources for head count analysis: Census 2011 data to project district-level population of
children under 5 year, women aged 15-49, men aged 15-54 for the year 2019
– Number of pregnant and lactating women at district-level are estimated using HMIS data for the year 2019 and
prevalence from NFHS-5 factsheet
• All the indicators are mapped to the POSHAN Abhiyaan monitoring framework
• Descriptive statistics were estimated, and trend analysis was conducted to examine changes in
outcomes, determinants, and coverage of interventions across the three time periods (2005-06,
2015-16 and 2019-20)
• District level headcount of undernutrition outcomes was computed using undernutrition prevalence
and projected population data for 2019
Note: NFHS-5 data source: Factsheets and state reports for 22 states/UTs
Background
Nutrition
outcomes
Determinants
Intervention
coverage
5. Background
Nutrition
outcomes
Determinants
Intervention
coverage
Goa 2005-06 Goa 2015-16 Goa 2019-20
9 13 6 15 13 6 20 13 11
0
20
40
60
80
100
2005-06 2015-16 2019-20 2005-06 2015-16 2019-20 2005-06 2015-16 2019-20
Neonatal mortality rate Infant mortality rate Under-five mortality rate
Mortality
rate
(per
1000)
India average
Infant & child mortality rates in Goa, per 1,000 live births
(2005-06, 2015-16 & 2019-20)
*p<0.05, difference between 2005-06 and 2015-16 at the state level
Source: NFHS-3 (2005-06), NFHS-4 (2015-16) & NFHS-5 state factsheets (2019-20)
6. Trends in undernutrition outcomes in Goa
(2005-06, 2015-16 & 2019-20)
Undernutrition among children <5y Undernutrition among women (15-49y)
Background
Nutrition
outcomes
Determinants
Intervention
coverage
221 221NA2 25 21 26 15 26* 19 6 14 8 25 27 24 39 48 53 28 15* 14 38 31* 39 37 27 41
0
20
40
60
80
100
Low birth weight Stunting Wasting Severe wasting Underweight Anemia Underweight Anemia
(non-pregnant)
Anemia
(pregnant)
%
Source: NFHS-3 (2005-06), NFHS-4 (2015-16) & NFHS-5 state factsheets (2019-20)
1In NFHS-3, 15.2% of data was missing, while 2.2% of data was missing in NFHS-4.
2NA refers to the unavailability of data for a particular indicator in the specified NFHS round
*p<0.05, difference between 2005-06 and 2015-16 at the state level
Goa 2005-06 Goa 2015-16 Goa 2019-20 India average
7. Inter-district variability in undernutrition outcomes in Goa
(2019-20)
Source: NFHS-5 state & district factsheets (2019-20)
Undernutrition among children
<5y
Undernutrition among women
(15-49y)
District average 2019-20
State average 2019-20
Background
Nutrition
outcomes
Determinants
Intervention
coverage
26 19 8 24 53 14 39 41
0
20
40
60
80
100
Stunting Wasting Severe wasting Underweight Anemia Underweight Anemia
(non pregnant)
Anemia
(pregnant)
%
8. Trends in overweight/obesity & non-communicable diseases
in Goa (2005-06, 2015-16 & 2019-20)
Background
Nutrition
outcomes
Determinants
Intervention
coverage
5 5
3 20 33* 36 17 34* 33 1NA 10 16 1NA 16 20 1NA 9 9 1NA 14 10
0
20
40
60
80
100
Overweight/ obesity
child
Overweight/ obesity
women
Overweight/ obesity
men
High blood pressure
women
High blood pressure
men
High sugar level
women
High sugar level
men
%
Goa 2005-06 Goa 2015-16 Goa 2019-20 India average
1NA refers to the unavailability of data for a particular indicator in the specified NFHS round.
Source: NFHS-3 (2005-06), NFHS-4 (2015-16) & NFHS-5 state factsheets (2019-20)
*p<0.05, difference between 2005-06 and 2015-16 at the state level
9. Inter-district variability in overweight/obesity & non-
communicable diseases in Goa (2019-20)
Note: Data on prevalence of overweight among men not available at district level in NFHS-5 (2019-20). District level information not available in NFHS 3 (2005-06).
Source: NFHS-5 state & district factsheets (2019-20)
District average 2019-20
State average 2019-20
Background
Nutrition
outcomes
Determinants
Intervention
coverage
3 36 33 16 20 9 10
0
20
40
60
80
100
Overweight/
obesity
child
Overweight/
obesity
women
Overweight/
obesity
men
High blood
pressure
women
High blood
pressure
men
High sugar level
women
High sugar level
men
%
10. Stunting among children <5 years in Goa (2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 21% Prevalence in state = 26%
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the maps above is percentage (%).
Source: NFHS-4 (2015-16) & NFHS-5 district & state factsheets (2019-20)
Note: Stunting prevalence ≥30% is considered to be very high for public health significance. Source: de Onis et al. (2018).
Between 2015-16 and 2019-20, the prevalence of stunting among children in none of the districts decreased.
11. Number of stunted children <5 years in Goa (2019-20)
Top districts with highest burden
District
Stunted
children
(number)
1 South Goa 13,943
2 North Goa 13,936
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2019-20
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and
projected population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
Note: The unit of the numbers in the map above is thousands
12. Wasting among children <5 years in Goa (2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 26% Prevalence in state = 19%
Districts with highest change in prevalence between 2015-16 & 2019-20
District Change (pp)
1 South Goa -7.8
2 North Goa -5.5
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the maps above is percentage (%).
Source: NFHS-4 (2015-16) & NFHS-5 district & state factsheets (2019-20)
Note: Wasting prevalence ≥15% is considered to be very high for public health significance. Source: de Onis et al. (2018).
13. Number of wasted children <5 years in Goa (2019-20)
Top districts with highest burden
District
Wasted
children
(number)
1 South Goa 10,543
2 North Goa 10,193
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2019-20
Note: The unit of the numbers in the map above is thousands
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and
projected population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
14. Severe wasting among children <5 years in Goa
(2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 14% Prevalence in state = 8%
Districts with highest change in prevalence between 2015-16 & 2019-20
District Change (pp)
1 South Goa -6.4
2 North Goa -6.4
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the maps above is percentage (%).
Source: NFHS-4 (2015-16) & NFHS-5 district & state factsheets (2019-20)
15. Number of severely wasted children <5 years in Goa (2019-20)
Top districts with highest burden
District
Wasted
children
(number)
1 North Goa 4,204
2 South Goa 3,941
2019-20
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the map above is thousands
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and projected
population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
16. Underweight children <5 years in Goa (2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 27% Prevalence in state = 24%
Districts with highest change in prevalence between 2015-16 & 2019-20
District Change (pp)
1 South Goa -3.8
2 North Goa -2.4
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the maps above is percentage (%).
Source: NFHS-4 (2015-16) & NFHS-5 district & state factsheets (2019-20)
Note: Underweight prevalence ≥30% is considered to be very high for public health significance (used similar cut-off as stunting). Source: de Onis et al. (2018).
17. Number of underweight children <5 years in Goa (2019-20)
Top districts with highest burden
District
Underweight
children
(number)
1 North Goa 14,857
2 South Goa 10,346
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2019-20
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and projected
population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
Note: The unit of the numbers in the map above is thousands
18. Anemia among children <5 years in Goa (2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 48% Prevalence in state = 53%
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the maps above is percentage (%).
Between 2015-16 and 2019-20, the prevalence of anemia among children in none of the districts decreased.
Source: NFHS-4 (2015-16) & NFHS-5 district & state factsheets (2019-20)
Note: : Anemia prevalence ≥40% is considered to be a severe public health problem. Source: WHO (2011).
19. Number of anemic children <5 years in Goa (2019-20)
Top districts with highest burden
District
Anemic
children
(number)
1 North Goa 28,555
2 South Goa 22,129
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2019-20
Note: The unit of the numbers in the map above is thousands
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and
projected population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
20. Underweight women, 15-49 years in Goa (2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 15% Prevalence in state = 14%
Districts with highest change in prevalence between 2015-16 & 2019-20
District Change (pp)
1 North Goa -1.9
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Source: NFHS-4 (2015-16) & NFHS-5 district & state factsheets (2019-20)
Note: Underweight prevalence ≥40% is considered as very high prevalence. Source: WHO (1995)
Note: The unit of the numbers in the maps above is percentage (%).
21. Number of underweight women, 15-49 years in Goa (2019-20)
Top districts with highest burden
District
Underweight
women
(number)
1 North Goa 38,802
2 South Goa 29,210
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2019-20
Note: The unit of the numbers in the map above is thousands
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and
projected population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
22. Anemia among non-pregnant women, 15-49 years in Goa
(2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 31% Prevalence in state = 39%
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the maps above is percentage (%).
Between 2015-16 and 2019-20, the prevalence of anemia among non-pregnant women in none of the districts decreased.
Source: NFHS-4 (2015-16) & NFHS-5 district and state factsheets (2019-20)
Note: Anemia prevalence ≥40% is considered to be a severe public health problem. Source: WHO (2011).
23. Number of non-pregnant anemic women, 15-49 years in Goa
(2019-20)
Top districts with highest burden
District
Anemic non-
pregnant women
(number)
1 North Goa 110,628
2 South Goa 80,706
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2019-20
Note: The unit of the numbers in the map above is thousands
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and
projected population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
24. Anemia among pregnant women, 15-49 years in Goa
(2015-16 & 2019-20)
2015-16 2019-20
Prevalence in state = 27%
Prevalence in state = 41%
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Note: The unit of the numbers in the maps above is percentage (%).
Source: NFHS-4 (2015-16) & NFHS-5 district & state factsheets (2019-20)
Note : Anemia prevalence ≥40% is considered to be a severe public health problem. Source: WHO (2011).
Unable to compare anemia among pregnant women between 2015-16 and 2019-20 due to a lack of data at district level in 2019-20.
25. Number of pregnant anemic women, 15-49 years in Goa
(2019-20)
Background
Nutrition
outcomes
Determinants
Intervention
coverage
2019-20
Note: Data not available at district level
Source: IFPRI estimates - The headcount was calculated as the product of the undernutrition prevalence and the total eligible projected population for each district in 2019. Prevalence estimates were obtained from NFHS 5 (2019-20) and
projected population for 2019 was estimated using Census 2011.
Note: The total number of children <5 years is 106,855, pregnant women 15-49 years is 28,634, and non-pregnant women 15-49 years is 462,932.
27. Mixed picture on infant feeding: Early initiation of breastfeeding and exclusive breastfeeding improved between 2006 and 2016, but early initiation
worsened between 2016 and 2020. Steady decline observed in mothers with low BMI between 2006 and 2016; prevalence improved by 4pp between
2016 and 2020. Consistent improvement in consumption of IFA for 100+ days.
Trends in immediate determinants in Goa
(2005-06, 2015-16 & 2019-20)
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Source: NFHS-3 (2005-06), NFHS-4 (2015-16) & NFHS-5 state factsheet (2019-20)
Note: Immediate determinants are based on the last child data; data on continued breastfeeding at 2 years, egg and/or flesh foods consumption, sweet beverage consumption, and bottle feeding of infants not available in NFHS-5 factsheets
(2019-20)/state report. 0Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
(%)
28. Inter-district variability in immediate determinants in Goa
(2019-20) District average 2019-20
State average 2019-20
Background
Nutrition
outcomes
Determinants
Intervention
coverage
62 61 1NA 1NA 22 1NA 1NA 1NA 14 88 3 1
0
20
40
60
80
100
Early
initiation
of
breastfeeding
Exclusive
breastfeeding
Timely
introduction
of
complementary
foods
Continued
breastfeeding
at
2
years
Adequate
diet
Egg
and/or
flesh
food
consumption,
6–23m
Sweet
beverage
consumption,
6–23
m
Bottle
feeding
of
infants,
0–23
m
Women
with
body
mass
index
<18.5
kg/m2
Consumed
IFA
100+
days
Diarrhea
in
the
last
two
weeks
ARI
in
the
last
two
weeks
%
Source: NFHS-5 district & state factsheets (2019-20)
1NA refers to the unavailability of data for a particular indicator in the NFHS-5 state and district factsheets (2019-20)
29. Trends in underlying determinants in Goa
(2005-06, 2015-16 & 2019-20)
All underlying determinants improved steadily between 2006 and 2020. Large improvements were observed in households with improved sanitation
facility from 2006 to 2020. Women-level factors, also improved ; particularly, literacy and women with greater than 10 years of education.
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Source: NFHS-3 (2005-2006), NFHS-4 (2015-2016), and NFHS-5 state and district factsheets and state reports (2019-2020).
Note 1: Safe disposal of feces not available in NFHS-5 factsheets (2019-20)/state report and data on HHs with hand washing facility not available in NFHS-3 (2005-06) and NFHS-5 factsheets (2019-20)/state report. Data on open defecation and HHs
with BPL card for 2019-2020 are taken from NFHS-5 state reports.
Note 2: Several of these determinants are applicable for maternal undernutrition as well
0Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
(%)
30. Inter-district variability in underlying determinants in Goa
(2019-20)
District average 2019-20
State average 2019-20
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Source: NFHS-5 district and state factsheets (2019-20)
Note 1: Several of these determinants are applicable for maternal undernutrition as well
1NA refers to the unavailability of data for a particular indicator in the NFHS-5 factsheets (2019-20)
93 72 6 3 99 88 1NA 1NA 1NA 1NA 100
0
20
40
60
80
100
Women
who are
literate
Women
with ≥10
years
education
Girls 20-24
years
married
before age
of 18 years
Women 15-
19 years
with child or
pregnant
HHs with
improved
drinking
water
source
HHs with
improved
sanitation
facility
HHs with
hand
washing
facility
Open
defecation
Safe
disposal of
feces
HHs with
BPL card
HHs with
electricity
%
32. Trends in coverage of
interventions in Goa across
the first 1000 days
(2005-06, 2015-16 & 2019-20)
Background
Nutrition
outcomes
Determinants
Intervention
coverage
Source: NFHS-3 (2005-06), NFHS-4 (2015-16) & NFHS-5 state factsheets and state reports (2019-20).
Note: Interventions’ coverage is based on the last child data.
0Indicator comparable between NFHS-3 and NFHS-4 but differs slightly from NFHS-5.
Note 1: Data missing for 2019-20 is not available in the NFHS-5 factsheets (2019-20). Information on use of bed nets during
pregnancy not available in NFHS-3 data (2005-06).
Note 2: Data on food supplementation and health and nutrition education during pregnancy and post-natal care, and
weight measurement during childhood and counselling on child growth for 2019-20 are taken from NFHS-5 state reports.
Note 3: Refer to district dashboard for the inter-district variability in the coverage of interventions.
Pregnancy: Large improvements in received MCP card, food
supplementation, and health and nutrition education from 2006 to 2020
(47-66pp), with coverage 80% in 2020. ANC first trimester provision
declined from 2006 to 2020 (16pp).
Delivery and Postnatal: Large improvements in postnatal care for
babies, food supplementation, and health and nutrition education from
2006 to 2020 (49-97pp), with coverage >75% in 2020.
Early Childhood: Large improvements in vitamin A, weighing, and
counselling on child growth from 2006 to 2020 (36-66pp); coverage of
weighing and child growth counselling remained <70% in 2020.
(%)
33. Coverage of nutrition related interventions in Goa: district
dashboard (2019-20)
Background
Nutrition
outcomes
Determinants
Intervention
coverage
District name
Demand
for
FP
satisfied
Iodized
salt
Any
ANC
visits
ANC
first
trimester
≥4
ANC
Received
MCP
card
Received
IFA
tab/syrup
Tetanus
injection
Deworming
Weighing
Birth
preparedness
counselling
Breastfeeding
counselling
Counselling
on
keeping
baby
warm
Cord
care
counselling
Food
supplementation
Health
&
nutrition
education
Malaria
prevention-
use
of
bed
nets
Institutional
birth
Financial
assistance
(JSY)
Skilled
birth
attendant
Postnatal
care
for
mothers
Postnatal
care
for
babies
Food
supplementation
Health
&
nutrition
education
Full
immunization
Vitamin
A
Paediatric
IFA
Deworming
Care
seeking
for
ARI
ORS
during
diarrhea
Zinc
during
diarrhea
Food
supplementation
(6-
35
months)
Weighing
Counselling
on
child
growth
GOA 97.6 70.3 93.0 99.8 99.1 96.5 35.0 99.7 7.2 99.1 95.4 96.7 81.9 91.9 86.6
North Goa 98.1 74.6 91.3 100.0 98.6 95.8 35.0 99.6 9.0 98.6 93.1 95.9 78.6 94.4 83.6
South Goa 96.9 62.7 96.0 99.5 100.0 97.8 35.0 100.0 4.2 100.0 99.5 98.0 88.0
Pre-
pregnancy
Pregnancy Delivery & postnatal Early childhood
Source: NFHS-5 district factsheets and state reports (2019-2020)
Note 1: Data missing for 2019-20 is not available in the NFHS-5 factsheets and state reports (2019-20).
34. 1NA 1NA 1NA 1NA
0
20
40
60
80
100
Overweight/
obesity
child
Overweight/
obesity
women
Overweight/
obesity
men
High blood
pressure
women
High blood
pressure
men
High sugar
level
women
High sugar
level
men
%
2005-06 2015-16 2019-20
0
20
40
60
80
100
Stunting Wasting Severe wasting Underweight
child
Anemia
child
Underweight
women
Anemia
Non pregnant
women
Anemia
Pregnant
women
%
2019-20 2015-16 2005-06
Undernutrition outcomes Overweight/obesity and non communicable diseases
Children: Stunting prevalence declined by 4 percentage points (pp) between 2006
and 2016 but increased by 5pp between 2016 and 2020. Wasting increased by
11pp between 2006 and 2016 but declined by 7pp between 2016 and 2020.
Underweight increased by 2pp between 2006 and 2016 but declined by 3pp
between 2016 and 2020. Anemia increased by 9pp between 2006 and 2016 and
continued to increase by 5pp from between 2016 and 2020.
Women: Underweight declined by 13pp between 2006 and 2016 and continued
to decline by 1pp between 2016 and 2020. Anemia in non-pregnant and pregnant
women declined by 7pp and 10pp, respectively, between 2006 and 2016, but
increased by 8pp in non-pregnant women and 14pp in pregnant women from
2016 to 2020. Overweight/obesity increased by 13pp from 2006 to 2016 and
continued to increase by 3pp between 2016 and 2020.
Men: Overweight/obesity increased by 17pp between 2006 and 2016 but
declined by 1pp between 2016 and 2020.
Attention is needed to improve (%s in 2020):
• Outcomes: Anemia in children (53%); anemia in women (39-41%);
overweight/obesity in women & men (33-36%)
• Immediate determinants: Adequate diet (22%)
• Underlying determinants: Women with 10 years education (72%)
• Coverage of interventions: ANC first trimester (70%); growth monitoring of
children (61%); counselling on child growth (66%)
Source: NFHS-3 (2005-06), NFHS-4 (2015-16) & NFHS-5 state factsheets and state reports
(2019-20)
1NA refers to the unavailability of data for a particular indicator in the specified NFHS round
0Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
Immediate determinants Key takeaways
Underlying determinants
Interventions across the first 1000 days
Trends in nutrition outcomes, determinants and coverage of interventions in Goa (2005-06, 2015-16 and 2019-20)
(%)
(%)
(%)
35. Annex: Methodological notes
• Nutrition outcomes, their immediate and underlying determinants, and nutrition related interventions were identified following the Poshan Abhiyaan
monitoring framework.
• The selected indicators were harmonized across the National Family Health Survey (NFHS) 3 (2005-06) and 4 (2015-16) data and NFHS 5 factsheets (2019).
For those indicators that were not comparable, details were specified in a footnote.
• The method of women sampling across the three NFHS rounds was compared:
• Descriptive statistics were estimated, and trend analysis was conducted to examine changes in outcomes, determinants, and coverage of interventions
across the three time periods. Further, top 10 districts with the highest change in prevalence between 2016 & 2019 were identified. Statistical software Stata
16.0 and R were used to perform the analyses.
• District level headcount of undernutrition outcomes was computed using undernutrition prevalence and projected population data for the year 2019.
o The prevalence P was calculated as children/women with nutritional deficit (q) divided by the eligible sample of children/women (n) in the district (j) and expressed in percentage as: Pj= (qj/nj)
×100
o The headcount was calculated as the product of P and the total eligible population N for each district: Hj= Pj×Nj
• Findings were visualized using spatial maps, bar graphs and line plots. The maps and other graphs were prepared on R and Excel, respectively.
• Cut-off values for public health significance were based on WHO guidelines on all indicators
https://apps.who.int/iris/bitstream/handle/10665/332223/9789241516952-eng.pdf?ua=1 except severe wasting (based on agreement with UNICEF)
NFHS – 3 (2005-2006) NFHS-4 (2015-2016) NFHS-5 (2019-2020)
• Target sample size in NFHS-3 was fixed
in terms of ever married women age
15-49 years
• All eligible women age 15-49 i.e. all
women age 15-49 who are usual
members of the selected households
or who spent the night before the
survey in the selected households
were eligible to be interviewed in the
survey.
• Information on sampling strategy not
available yet
36. Annex: Indicator definitions
Mortality and nutrition outcomes
Neonatal mortality rate Neonatal mortality rate per 1000 live births
Infant mortality rate Infant mortality rate per 1000 live births
Under-five mortality rate Under-five mortality rate (U5MR) per 1000 live births
Low birth weight Percentage of live births in the five years preceding the survey with a reported birth weight less than 2.5 kg, based on either a written record or the mother's recall
Stunting among children Percentage of children age 0-59 months who are stunted i.e. height-for-age z score < -2SD
Wasting among children Percentage of children age 0-59 months who are wasted i.e. weight-for-height z score < -2SD
Severe wasting among children Percentage of children age 0-59 months who are wasted i.e. weight-for-height z score < -3SD
Underweight children Percentage of children age 0-59 months who are underweight i.e. weight-for-age z score < -2SD
Anemia among children Percentage of children age 6-59 months who are anemic i.e. (Hb <11.0 g/dl)
Underweight women Percentage of women age 15-49 whose Body Mass Index (BMI) is below normal (BMI <18.5 kg/m2)
Anemia among non-pregnant women Percentage of non-pregnant women age 15-49 who are anemic (<12.0 g/dl)
Anemia among pregnant women Percentage of pregnant women age 15-49 who are anemic (<11.0 g/dl)
Overweight/obesity - children Percentage of children age 0-59 months who are overweight i.e. weight-for-height z score > 2SD
Overweight/obesity - women Percentage of men age 15-54 who are overweight or obese (BMI ≥25.0 kg/m2)
Overweight/obesity - men Percentage of men age 15-54 who are overweight or obese (BMI ≥25.0 kg/m2)
High blood pressure among women^ Percentage of women age 15-49 with elevated blood pressure (Systolic >140 mm Hg or diastolic >90 mm Hg)
High blood pressure among men^ Percentage of men age 15-54 with elevated blood pressure (Systolic >140 mm Hg or diastolic >90 mm Hg)
High sugar level among women^ Percentage of women age 15-49 with elevated blood pressure (Systolic >140 mm Hg or diastolic >90 mm Hg)
High sugar level among men^ Percentage of men age 15-54 with high blood sugar levels (141-160 mg/dl)
^ Indicator not available in NFHS-3; $ Indicator not available in NFHS-5 factsheets/state reports; 0 Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
1 Definition per NFHS-3/NFHS-4 ; 2 Definition as per NFHS-5 factsheet
37. Annex: Indicator definitions
^ Indicator not available in NFHS-3; $ Indicator not available in NFHS-5 factsheets/state reports; 0 Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
1 Definition per NFHS-3/NFHS-4 ; 2 Definition as per NFHS-5 factsheet
Immediate determinants
Early initiation of breastfeeding Percentage of children under age 3 years breastfed within one hour of birth for the last child born in the 3 years before the survey
Exclusive breastfeeding Percentage of youngest children under age 6 months living with mother who were exclusively breastfed
Timely introduction of
complementary foods0
1Percentage of youngest children age 6-8 months living with mother who received solid or semi-solid food; 2Percentage of youngest children age 6-8 months
living with mother who received solid or semi-solid food and breastmilk
Continued breastfeeding at 2 years$ Percentage of youngest children 12–23 months of age who were fed breast milk during the previous day
Adequate diet0 Percentage of youngest children 6–23 months of age who consumed a minimum acceptable diet during the previous day
Eggs and/or flesh foods
consumption$
Percentage of youngest children 6–23 months of age who consumed egg and/or flesh food during the previous day
Sweet beverage$ Percentage of youngest children 6–23 months of age who consumed a sweet beverage during the previous day
Bottle feeding for infants$ Percentage of youngest children 0–23 months of age who were fed from a bottle with a nipple during the previous day
Women with body mass index <18.5
kg/m2 0
1Percentage of women age 15-49 with a youngest child < 5 years who have BMI below normal (BMI <18.5 kg/m2) ; 2Percentage of women age 15-49 whose BMI
is below normal (BMI <18.5 kg/m2)
Consumed IFA 100+ days Percentage of mothers age 15-49 who consumed iron folic acid for 100 days or more during the last pregnancy in last five years preceding the survey
Diarrhea in the last two weeks0 1Percentage of youngest children under age five who had diarrhoea in the two weeks preceding the survey; 2Percentage of children under age 5 who had
diarrhoea in the 2 weeks preceding the survey
ARI in the last two weeks0 1Percentage of youngest children under age five who had symptoms of acute respiratory infection (ARI) in the two weeks preceding the survey; 2Percentage of
children under age five who had symptoms of acute respiratory infection (ARI) in the two weeks preceding the survey
38. Annex: Indicator definitions
^ Indicator not available in NFHS-3; $ Indicator not available in NFHS-5 factsheets/state reports; @Indicator not available in NFHS-5 factsheets but available in NFHS-5 states reports; 0 Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
1 Definition per NFHS-3/NFHS-4 ; 2 Definition as per NFHS-5 factsheet
Underlying determinants
Women who are literate0 1Percentage of women age 15-49 with a birth in five years preceding the survey who are literate i.e. those who completed standard 6 or higher and can read a
whole sentence; 2Percentage of women age 15-49 who are literate i.e. those who completed standard 9 or higher and can read a whole sentence or part of a
sentence.
Women with ≥10 years education0 1Percentage of women age 15-49 with a birth in five years preceding the survey with 10 or more years of schooling; 2Percentage of women age 15-49 with 10 or
more years of schooling
Girls 20-24 years married before age
of 18 years0
1Percentage of women aged 20-24 years with a birth in five years preceding the survey who were married before age 18 years; 2Percentage of women aged 20-24
years who were married before age 18 years
Women 15-19 years with child or
pregnant
Percentage of currently married women aged 15-49 who had their first birth before age 20 years and in the five years preceding the survey
HHs with improved drinking water
source0
1Percentage of youngest children under age 5 living in household that use an improved source of drinking water; 2Population living in households that use an
improved sanitation facility
HHs with improved sanitation facility0 1Percentage of youngest children under age 5 living in household that uses improved toilet facility; 2Population living in households that use an improved sanitation
facility
HHs with hand washing facility^$ Percentage of youngest children under age 5 living in household that had soap and water for washing hands
Open defecation@ Percentage of youngest children under age 5 living in household that has no toilet facility/defecates in open
Safe disposal of feces$ Percentage of youngest children living with mother whose stools were disposed of safely
HHs with BPL card@ Percentage of youngest children under age 5 living in households with BPL card
HHs with electricity0 1Percentage of youngest children under age 5 living in household that has electricity; 2Population living in households with electricity
39. Annex: Indicator definitions
^ Indicator not available in NFHS-3; $ Indicator not available in NFHS-5 factsheets/state reports; 0 Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
1 Definition per NFHS-3/NFHS-4 ; 2 Definition as per NFHS-5 factsheet; @Indicator not available in NFHS-5 factsheets but available in NFHS-5 state reports
Interventions
Demand for FP satisfied@ Percentage of currently married women age 15-49 with demand for family planning satisfied by modern methods
Iodized salt0 1Percentage of women age 15-49 living in HHs that use iodized salt; 2Percentage of households using iodized salt
Any ANC visits$ Percentage of women age 15-49 with a live birth in the five years who received at least one ANC for the last birth
ANC first trimester Percentage of women (15-49 years of age) attended by any provider during the first trimester of pregnancy that led to the birth of the youngest child in the last 2
years
≥ 4ANC Percentage of mothers age 15-49 who had at least 4 antenatal care visits for last birth in the 5 years before the survey
Received MCP card Percentage of mothers who registered last pregnancy in the 5 years preceding the survey for which she received a Mother and Child Protection (MCP) card
Received IFA tab/syrup@ Percentage of women who received IFA (given or purchased) tablets during the pregnancy for their most recent live birth in the 5 years preceding the survey
Tetanus injection Percentage of women whose last birth was protected against neonatal tetanus (for last birth in the five years preceding the survey )
Deworming- pregnancy@ Percentage of women who took an intestinal parasite drug during the pregnancy for their most recent live birth in the 5 years preceding the survey
Weighing- pregnancy@ Percentage of women age 15-49 with a live birth in the five years preceding the survey who were weighed during ANC for the last birth
Birth preparedness counselling$ Percentage of women who had at least one contact with a health worker in the three months preceding the survey and were counselled on birth preparedness;
calculated among women age 15-49 who gave birth in the five years preceding the survey
Breastfeeding counselling@ Percentage of women who met with a community health worker in the last three months of pregnancy and received advice on breastfeeding (for the last
pregnancy in the five years preceding the survey)
Counselling on keeping baby warm@ Percentage of women who met with a community health worker in the last three months of pregnancy and received advice on keeping the baby warm for their
most recent live birth in the five years preceding the survey
Cord care counselling^@ Percentage of women who met with a community health worker in the last three months of pregnancy and received advice on cord care for their most recent live
birth in the five years preceding the survey
Food supplementation - pregnancy@ Percentage of youngest children under age 5 whose mother received supplementary food from AWC during pregnancy
Health & nutrition education –
pregnancy@
Percentage of mothers who received health and nutrition education from an Anganwadi Centre (AWC) during last pregnancy in the five years preceding the survey
Malaria prevention- use of bed nets^$ Percentage of women who used mosquito net during the pregnancy for their most recent live birth in the 5 years preceding the survey
40. Annex: Indicator definitions
^ Indicator not available in NFHS-3; $ Indicator not available in NFHS-5 factsheets/state reports; 0 Indicator comparable between NFHS-3 and NFHS-4 but differs slightly with NFHS-5
1 Definition per NFHS-3/NFHS-4 ; 2 Definition as per NFHS-5 factsheet; @Indicator not available in NFHS-5 factsheets but available in NFHS-5 state reports
Interventions
Institutional birth0 1Percentage of women age 15-49 who gave birth in health/institutional facility for their most recent live birth in the 5 years preceding the survey;
2Percentage of live births to women age 15-49 in the five years preceding the survey that took place in a health/institutional facility
Financial assistance (JSY)@ Percentage of women who received financial assistance under JSY for their most recent live birth that took place in institutional facility in the 5 years
preceding the survey
Skilled birth attendant0 1Percentage of women whose last delivery was attended by a skilled health personnel for their most recent live birth in the 5 years preceding the survey;
2Percentage of births attended by skilled health personnel for births in the 5 years before the survey
Postnatal care for mothers Percentage of mothers who received postnatal care from a doctor/nurse/LHV/ANM/midwife/other health personnel within 2 days of delivery for their
most recent live birth in the five years preceding the survey
Postnatal care for babies Percentage of children who received postnatal care from a doctor /nurse /LHV /ANM /midwife /other health personnel within 2 days of delivery for last
birth in the 5 years before the survey
Food supplementation – postnatal@ Percentage of youngest children under age 5 whose mother received supplementary food from AWC while breastfeeding
Health & nutrition education – postnatal@ Percentage of youngest children under age 5 whose mother received health check-ups from AWC while breastfeeding
Full immunization0 1Percentage of youngest living children age 12-23 months fully vaccinated based on information from either vaccination card or mother's recall;
2Percentage of children age 12-23 months fully vaccinated based on information from either vaccination card or mother's recall
Vitamin A – early childhood0 1Percentage of youngest children age 6-59 months who received Vitamin A supplementation in the last 6 months preceding the survey; 2 Percentage of
children age 9-35 months who received a vitamin A dose in the last 6 months
Pediatric IFA0@ Percentage of youngest children age 6-59 months who received iron supplements in the past 7 days preceding the survey
Deworming – early childhood0@ Percentage of youngest children age 6-59 months who received deworming tablets in the last 6 months preceding the survey
Care seeking for ARI0 1Percentage of youngest children under age 5 years with fever or symptoms of ARI in the 2 weeks preceding the survey taken to a health facility or health
provider; 2Percentage of children under age 5 years with fever or symptoms of ARI in the 2 weeks preceding the survey taken to a health facility or health
provider
ORS during diarrhea0 1Percentage of youngest children under age 5 years with diarrhoea in the 2 weeks preceding the survey who received oral rehydration salts (ORS);
2Percentage of children under age 5 years with diarrhoea in the 2 weeks preceding the survey who ORS
Zinc during diarrhea0 1Percentage of youngest children under age 5 years with diarrhoea in the 2 weeks preceding the survey who received zinc; 2Percentage of children
under age 5 years with diarrhoea in the 2 weeks preceding the survey who received zinc
Food supplementation (children 6-35
months)$
Percentage of youngest children age 6-35 months who received food supplements from AWC in the 12 months preceding the survey
Weighing – early childhood@ Percentage of youngest children under age 5 who were weighed at AWC in the 12 months preceding the survey
Counselling on child growth@ Percentage of youngest children under age 5 whose mother received counselling from an AWC after child was weighed in the 12 months preceding the
survey