In April 2020, the UN launched a coordinated global humanitarian response plan (GHRP) to fight COVID-19 in some of the world’s most vulnerable countries and address the needs of the most vulnerable people. This tips sheet provides practical tips to strengthen disability inclusion within the new up...date of COVID-19 Global HRP. The sheet was developed by the Disability Advisory Group for the DFID-UN SBC.
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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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Results from a High Frequency Cell Phone Survey Round 1
CBM and the Global Campaign for Education 2014
Refugees1 with disabilities have specific needs and face particular forms of discrimination. As highlighted in the Executive Committee Conclusion No. 110 (LXI)–2010, it is important for UNHCR to ensure that the rights of persons with disabilities who are of concern to the Office are met without di...scrimination. This places an onus on offices to develop a thorough
understanding of the circumstances of persons with disabilities under their care. This note provides staff with guidance on a range of issues to consider in meeting these responsibilities.
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We investigate whether and to what extent Chinese development finance affects infant mortality, combining 92 demographic and health surveys (DHS) for a maximum of 53 countries and almost 55,000 sub-national locations over the 2002-2014 period. We address causality by instrumenting aid with a set of ...interacted variables. Variation over
time results from indicators that measure the availability of funding in a given year. Cross-sectional variation results from a sub-national region’s “probability to receive aid.” Controlled for this probability in tandem with fixed effects for country-years and provinces, the interactions of these variables form powerful and excludable instruments. Our results show that Chinese aid increases infant mortality at sub-national scales, but decreases mortality at the countrylevel. In several tests, we show that this stark contrast likely results from aid being fungible within recipient countries.
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© Secretaría General de la Organización de los Estados Americanos 2020
Accessed: 10.04.2020
Key Messages and Recommendations.
The Report, Todos y todas sin excepción, produced by the Global Education Monitoring (GEM) Report and the Regional Bureau for Education in Latin America and the Caribbean (OREALC /UNESCO Santiago), along with the Laboratory of Education, Research and Innovation in... Latin America and the Caribbean (SUMMA) shows that, prior to the pandemic, in 21 countries, children from the richest households were five times as likely as the poorest to complete upper secondary school.
Learning outcomes were low before COVID-19. Only half of 15-year-olds achieved minimum proficiency in reading. In Guatemala and Panama, barely 10 disadvantaged 15-year-old students master basic mathematics skills for every 100 of their better-off peers. Indigenous people and Afro-descendants also have lower attainment and literacy rates.
The report includes a set of key recommendations for the next decade, which will help countries achieve the objectives of the 2030 Agenda and calls for schools to be more inclusive, which many still are not.
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No publication year indicated
The number of confirmed COVID-19 cases detected and reported in each country is influenced by
many factors including limited access and/or utilization of healthcare and COVID-19 testing, limited
surveillance, lack of knowledge amongst the population about when to seek testing, an asymptomatic pres...entation, and other unknown issues. This is true in all countries of the world, and not Africa specific, however there are factors unique to Africa which may also affect the way the virus behaves there. COVID-19 prevalence data are critical for planning effective mitigation strategies and understandingthe true impact of the disease and relevant intervention measures in Africa, which might be quite different from regions with a different population age distribution or risk factor profile.
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