Background: The need for sufficient and reliable funding to support health policy and systems research (HPSR) in low- and middle-income countries (LMICs) has been widely recognised. Currently, most resources to support such activities come from traditional development assistance for health (DAH) don...ors; however, few studies have examined the levels, trends, sources and national recipients of such support – a gap this research seeks to address. Method: Using OECD’s Creditor Reporting System database, we classified donor funding commitments using a keyword analysis of the project-level descriptions of donor supported projects to estimate total funding available for HPSR-related activities annually from bilateral and multilateral donors, as well as the Bill and Melinda Gates Foundation, to LMICs over the period 2000–2014.
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This strategy was developed to further support countries in their efforts to strengthen their capacity to implement key interventions to optimize their RHIS, enabling the monitoring and delivery of Health Care Services, especially Primary Health Care (PHC). The strategy proposes principles for integ...rated, interoperable, evidence-informed, aligned and partnership-based RHIS through five strategic goals with measurable interventions.
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31 Janaury 2021
SCORE for health data technical package. The first global assessment on the status and capacity of health information systems in 133 countries, covering 87% of the global population.
It identifies gaps and provides guidance for investment in areas that can have the greatest impact ...on the quality, availability, analysis, accessibility and use of health data.
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The primary objectives of the 2017 TMIS are to measure the level of ownership and use of mosquito nets; assess coverage of intermittent preventive treatment for pregnant women; identify treatment practices, including the use of specific antimalarial medications to treat malaria among c...hildren age 6-59 months; measure the prevalence of malaria and anemia among children age 6-59 months; and assess knowledge, attitudes, and practices among adults with malaria.
This table provides estimates of key indicators for the country as a whole and for each of the 31 geographic regions in Tanzania. A comprehensive analysis of the 2017 TMIS data will be presented in a final report.
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West: Drada & Nagar Haveli, Daman & Diu, Goa, Gujarat, Maharashtra
South: Andhra Pradesh & Telangana, Karnataka, Kerala, Puducherry, Tamil Nadu
This technical document consists of epidemiological profiles (fact-sheets) for States and districts based on information available from multiple d...ata sources including the HIV Sentinel Surveillance (HSS) and the Integrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention.
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Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura
This technical document consists of epidemiological profiles (fact-sheets) for States and districts based on information available from multiple data sources including the HIV Sentinel Surveillance (HSS) and the In...tegrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention.
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Northern: Chandigarh, Delhi, Haryana, Himachal Pradesh, Jammu & Kashmir, Punjab, Rajasthan, and Uttarakhand
Central: Chhattisgarh, Madhya Pradesh and Uttar Pradesh
Eastern: Andaman & Nicobar, Bihar, Jharkhand, Odisha and West Bengal
This technical document consists of epidemiological ...profiles (fact-sheets) for States and districts based on information available from multiple data sources including the HIV Sentinel Surveillance (HSS) and the Integrated Biological and Behavioural Surveillance (IBBS). Given the need for focussed prevention efforts in low/high prevalence and vulnerable States/districts, the information presented will be useful for policy makers, program planners at national/State/ district level, researchers, and academicians in identification of areas for priority attention and also to derive meaningful conclusions for programme planning, implementation, monitoring and scale-up. This document will be a quick reference for the HIV/AIDS situation in a State/district, risk and safe behaviour of the high risk groups, their level of knowledge about STIs and HIV/AIDS, experience of violence, HIV testing and ART awareness and exposure to HIV/AIDS prevention.
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Data received as of July 3, 2017 | WHO and UNICEF estimates of national immunization coverage - next revision available July 15, 2018
A technical package of five essential interventions with key elements to strengthen country health data and information systems and enable governments to track progress towards the health-related SDGs and national and subnational priorities.
The microbiology laboratory database software.
WHONET is a desktop Windows application for the management and analysis of microbiology laboratory data with a particular focus on antimicrobial resistance surveillance. WHONET, available in 28 languages, supports local, national, regional, and global ...surveillance efforts in over 2,300 hospital, public health, animal health, and food laboratories in over 130 countries worldwide.
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Analyze data about India’s health levels and trends from 1990 to 2016 in this interactive tool. Use treemaps, maps, arrow diagrams, and other charts to compare causes and risks and explore patterns and trends by age and sex. Drill from a national view into specific details. Compare expected and ob...served trends. Watch how disease patterns have changed over time. See which causes of death and disability are having more impact and which are waning.
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Children malnutrition eradication in developing countries is a real challenge, especially among
vulnerable population. There are so many effort towards women (who are the main care providers)
socio-economic situation in order to improve their children nutrition. This article aims to identify the
...impact of mothers’ activities on child nutrition and care. Interviews were used to collect data from
mothers of children less than 5 years old. Pearson correlation test and regression models were
performed to highlight relation and to identify the main factors that affect child nutrition and care. The
nutritional statuses of children show a high prevalence of underweight (38.46%), emaciation (25.17%)
and stunting (23.77%). Statistic results show that a child whose mother has food processing as main
activity has 2,322 more times to not suffer from emaciation malnutrition compared to a child whose
mother has trade as main activity. A child whose mother has high revenue has 1.463 more times to
not be suffering from stunting malnutrition compared to a child whose mother has lower revenue. A
child whose father has fishing as main activity has 8,4 more chance to not be suffering from stunting
malnutrition compared to a child whose father has another activity as main activity. A child whose
father is present in the household has 8.11 more chance to not suffer from stunting malnutrition
compared to a child whose father is absent. A child from mother who has food processing as main
activity is 2,464 more times preserved from fever compared to a child from mother whose main activity
is trade. Moreover child position, child feeding with porridge, child nursing are correlated with mother
activity. This situation is justified by the fact that mother need money to improve child nutrition and
health but they are also confronted to the fact that those activity that provide significant money are
sometime time consuming and not permit to take care of children in term of feeding practices, hygiene
control etc. Therefore it is important that intervention towards women take in consideration those
factors (money and time) but also the family in the whole.
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