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Yaws is targeted for eradication by 2030, using a strategy based on mass drug administration (MDA) with azithromycin. New diagnostics are needed to aid eradication. Serology is currently the mainstay for yaws diagnosis; however, inaccuracies associated with current serological tests makes it difficu
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lt to fully assess the need for and impact of eradication campaigns using these tools. Under the recommendation of the WHO Diagnostic Technical Advisory Group (DTAG) for Neglected Tropical Diseases(NTDs), a working group was assembled and tasked with agreeing on priority use cases for developing target product profiles (TPPs) for new diagnostics tools.
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NATIONAL TUBERCULOSIS AND LEPROSY PROGRAMME
District Level M & E Training and Reference Material for Primary Health Care Programmes
Suggested language and usage for tuberculosis communications
First edition
Accessed November 2017
Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist ... ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care. more
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist ... ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care. more
DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive ... ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. more
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive ... ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery. more
This six-day training is intended for case managers/community health volunteers/field supervisors who help households affected by HIV in India.
Operational Guideline
The threat posed by antimicrobial resistance (AMR) to public health as well as global health security has been reiterated in umerous World Health Assembly (WHA) resolutions. AMR is also prioritized under the Global Health Security Agenda (GHSA), and India is one of the contributing countries. The Mi
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nistry of Health & Family Welfare (MoHFW) identified AMR as one of the top 10 priorities for the ministry’s collaborative work with WHO. The National Health Policy 2017 identifies antimicrobial resistance as a problem and calls for effective action to address it. An international conference on AMR – “Combating Antimicrobial Resistance: A
Public Health Challenge and Priority”, was jointly organized by the Government of India and World Health Organization (WHO) in February 2016, which was attended by more than 350 participants. The Hon’ble Prime Minister, Shri Narendra Modi, and the Hon’ble Union Minister for Health, Shri J.P. Nadda have reiterated government’s commitment to tackle AMR.
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The increasing global trend of Antimicrobial resistance (AMR) has gradually emerged as a major public health challenge for the entire world. AMR has spread to almost all countries and regions, including Pakistan owing to the “misuse and overuse” of Antimicrobials, contributing to the increasing
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burden of infections due to resistant bacteria, viruses, parasites and fungi, while limiting the treatment options for managing such infections.
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