The guide is designed to help disaster managers in national Governments gain basic knowledge of how to use international tools and services. It aims to support the growing disaster response and disaster response preparedness capabilities that exist at national level across Asia and the Pacific.
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The guide is for national disaster management organizations (NDMOs) and line ministries involved in disaster response and disaster response preparedness. It is also a reference document for representatives of intergovernmental organizations, civilsociety actors and disaster-affected people.
The guide concentrates on key tools and services that can be helpful to disaster managers during the response and response preparedness phases of the disaster programme cycle.
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In order to better understand the contributing factors of undernutrition in LIFT program areas and the links between child nutritional status and independent variables of programmatic importance to LIFT (such as income, livelihoods, food security, and water, sanitation and hygiene [WASH]), LEARN com...missioned a secondary analysis of nutrition-related data from the 2013 LIFT Household Survey. The purpose of this report is to present the findings of this analysis.
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This scoping study done in Myanmar offers the chance for FoodSTART+ to explore prospects for future partnerships in another important country of the region. The study was done from October 2016 to February 2017 and included visits to selected major potato and cassava production areas to meet with re...spective stakeholders and market actors.
Although root and tuber crop (RTC) production in Myanmar has gradually increased since the late 1990s, they still lag behind the other major crops like rice. No RTCs are included in the country’s list of primary important crops even though potatoes are regularly consumed in daily meals while other common RTCs like cassava, elephant foot yam and sweetpotato are consumed occasionally. RTCs primarily contribute to food security and livelihoods through the income generated from their sale, whether fresh or processed, rather than directly through consumption.
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Since the end of 2018, there has been a significant upsurge in violence in Rakhine State after armed conflict broke out between the Arakan Army (AA) and the Myanmar Military. The violence escalated following attacks by the AA against military sites in January 2019 and subsequent counter-attacks by t...he Myanmar Military. The conflict has led to civilian casualties and the destruction of property that has spread to nine townships of Rakhine State (Buthidaung, Kyauktaw, Maungdaw, Minbya, Mrauk-U, Myebon, Pauktaw, Ponnagyun, Rathedaung) and Paletwa Township in neighboring Chin State. Ann and Kyaukphyu townships have been affected at certain points. The conflict has led to a significant displacement of people, some for extended amounts of time and some for short periods, with people fleeing violence subsequently returning to their homes within a few days or weeks. While fighting has occurred largely in rural areas and remote locations, key transport routes and urban and semi-urban areas have also been impacted. Tens of thousands of civilians living in villages have been caught in the middle of intense armed conflict.
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Strengthening resilient agricultural livelihoods
Level 3 responses are activated in the most complex and challenging humanitarian emergencies, when the highest level of mobilization is required across the humanitarian system. Even before the conflict escalated, the country suffered high levels of p...overty, food insecurity, undernutrition and malnutrition, water shortages and land degradation. Yemenis are also facing armed conflict, displacement, risk of famine and disease outbreaks.
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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.
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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.
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(August 28 – October 10, 2017)
A nutrition and mortality assessment using SMART methodology was applied and the survey covered 15 statistical (14 districts plus 1) domains countrywide. The main objective of the survey was to assess the current nutrition status of the population, especially ch...ildren 6-59 months old and women of reproductive age (15-49 years of age). The survey also looked at the major contextual factors contributing to undernutrition such as infant and young child feeding (IYCF) practices; food security indicators; water, sanitation and hygiene indicators; and health situation in Sierra Leone
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Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
- Regional analysis of acute food insecurity: Current situation (February-March 2015)