Census Report Volume 4-B
In the 2014 Census, early-age mortality was measured from the responses to two simple retrospective questions on childbearing addressed to ever-married women aged 15 and over. These questions referred to how many live children they had ever given birth to, and how many ...had died (or survived). Adult mortality was measured by using a question on the number of household members who had died during the 12 months preceding the Census.
According to the 2014 Census, infant and child mortality, which comprises under-five mortality, was high compared to other countries in the region. Previous estimates indicated a rapid decline during the 1960s and 1970s, with a substantial deceleration starting in the early 1980s. The decline has accelerated again during recent years.
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Census Report Volume 4-C
The 2014 Myanmar Census provided the opportunity to measure maternal mortality. The questions on deaths in households during the twelve months prior to the Census were included in the questionnaire, as well as questions necessary to estimate maternal mortality indicator...s.
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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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DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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DEMOGRAPHIC RESEARCH, VOLUME 36, ARTICLE 37, PAGES 1081-1108; PUBLISHED 5 APRIL 2017; http://www.demographic-research.org/Volumes/Vol36/37/; DOI: 10.4054/DemRes.2017.36.37
The household transmission investigation is a case-ascertained prospective study of all identified household contacts of a laboratory confirmed 2019-nCoV infection (see 2.2 Study population). It is intended to provide rapid and early information on the clinical, epidemiological and virological chara...cteristics of 2019-nCoV.
There are three primary objectives of this household transmission study:
To better understand the extent of transmission within a household by estimating the secondary infection rate for household contacts at an individual level, and factors associated with any variation in the secondary infection risk.
To characterize secondary cases including the range of clinical presentation, risk factors for infection, and the extent and fraction of asymptomatic infections.
To characterize serologic response following confirmed 2019-nCoV infection (highly encouraged, but optional depending on laboratory capacity and resources)
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Unchecked inequality and failure to protect the rights of poorest women could undermine peace and world’s development goals, new UNFPA report warns:
- Only about half of the world’s women hold paid jobs
- Globally, women earn 77 per cent of what men get
- Three in five women worldwide lack m...aternity leave, many pay "motherhood penalty"
The report is also available in French: https://www.unfpa.org/sites/default/files/sowp/downloads/UNFPA_PUB_2017_FR_swop_Etat_de_la_population_mondiale.pdf; in Spanish: https://www.unfpa.org/sites/default/files/sowp/downloads/UNFPA_PUB_2017_ES_SWOP_Estado_de_la_Poblacion_Mundial.pdf; in Russian: https://www.unfpa.org/sites/default/files/sowp/downloads/UNFPA_PUB_2017_RU_SWOP_NARODONASELENIE_MIRA_V_2017_GODU.pdf and in Arabic: https://www.unfpa.org/sites/default/files/sowp/downloads/UNFPA_PUB_2017_AR_SWOP_Hl_skn_llm_.pdf
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A field manual for Red Cross/Red Crescent personnel and volunteers
This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan hide enormous inequality inpatterns of povertywith...in countries. For instance, in Uganda 55 percentof the population experience multidimensional poverty—similartotheaverage in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of sixpercent, whileinthe Karamojaregion, the MPI soars to 96 percent—meaningthat partsof Ugandaspan the extremes of Sub-Saharan Africa.There is even inequality under the same roof. In South Asia, for example, almost a quarter ofchildren under five live in households where at least one child in the household is malnourished but at least one child is not.
There is also inequality among the poor. Findings of the2019 global MPI paint a detailed picture of the many differences in how-and how deeply -people experience poverty. Deprivationsamong the poor varyenormously: in general, higher MPI valuesgo hand in hand with greater variationin the intensity of poverty. Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lackingessentialssuch as clean water, sanitation, adequate nutrition or primary education
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Key Populations Brief
Accessed November 2017
Air pollution is one of the leading causes of health complications and mortality worldwide, especially affecting lower-income groups, who tend to be more exposed and vulnerable. This study documents the relationship between ambient air pollution exposure and poverty in 211 countries and territories.... Using the World Health Organization’s (WHO) 2021 revised fine particulate matter (PM2.5) thresholds, we show that globally, 7.3 billion people are directly exposed to unsafe average annual PM2.5 concentrations, 80 percent of whom live in low- and middle-income countries. Moreover, 716 million of the world’s lowest income people (living on less than $1.90 per day) live in areas with unsafe levels of air pollution, especially in Sub-Saharan Africa. Air pollution levels are particularly high in lower-middle-income countries, where economies tend to rely more heavily on polluting industries and technologies. These findings are based on high-resolution air pollution and population maps with global coverage, as well as subnational poverty estimates based on harmonized household surveys.
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The following protocol has been designed to investigate the extent of infection, as determined by seropositivity in the general population, in any country in which COVID-19 virus infection has been reported. Each country may need to tailor some aspects of this protocol to align with public health, l...aboratory and clinical systems, according to capacity, availability of resources and cultural appropriateness. However, using a standardized protocol such as this one below, epidemiological exposure data and biological samples can be systematically collected and shared rapidly in a format that can be easily aggregated, tabulated and analyzed across many different settings globally for timely estimates of COVID-19 virus infection severity and attack rates, as well as to inform public health responses and policy decisions. This is particularly important in the context of a novel respiratory pathogen, such as COVID-19 virus
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The World Health Organization (WHO) endorses the use of population-based prevalence surveys for estimating the prevalence of trachoma. In general, the prevalence of TF in children aged 1–9 years and the prevalence of TT in adults aged ≥ 15 years are measured at the same time in any district bein...g surveyed. This was the approach of the Global Trachoma Mapping Project, which undertook baseline surveys in > 1500 districts worldwide in order to provide the data required to start interventions where needed.
The survey design recommended by WHO is a two-stage cluster random sample survey, which uses probability proportional to size sampling to select 20–30 villages, and random, systematic or quasi-random sampling to select 25–30 households in each of those villages. In most surveys, everyone aged ≥ 1 year living in selected households is examined.
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This report presents the key findings of the end-of-project assessment of households and
community health volunteers, conducted in 2017 in the Kamukunji and Embakasi sub-counties
of Nairobi, Kenya, for a Community Health Volunteers’ Decision Support System (CHV DSS)
intervention project. The re...port was prepared by the African Population and Health Research
Center (APHRC). The end-line survey was implemented by APHRC. Implementation of the CHV
DSS project is a joint collaboration among several partners, including APHRC, the City County
of Nairobi, sub-county health management teams (Kamukunji and Embakasi), and community
health volunteers. The opinions expressed in this report are those of the authors and do not
necessarily reflect the views of the donor organization, the County Innovation Challenge Fund
for Kenya.
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Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and ...access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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