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Making data and statistics more inclusive in developing countries

Making data and statistics more inclusive in developing countries Young Asian woman with smiling face sitting in the wheelchair. plo/Shutterstock.com Measuring disability through household surveys and population censuses is challenging and there is not a gold standard approach. In censuses or surveys, disability is often captured through questions on functional difficulties (e.g. seeing, hearing), activities of daily living (e.g. bending, bathing), broad activity limitation (e.g. inability to work due to a health condition) or a general question (“do you have a disability?”). In 2017, the United Nations Statistical Commission adopted revised guidelines for the collection of disability data in national censuses (United Nations 2017). The Commission recommends that the following four functional domains be considered essential in determining disability status in a way that can be reasonably measured using a census and that would be appropriate for international comparison: (a) W

Supporting water and disaster risk management in Mozambique using Google Earth Engine

Supporting water and disaster risk management in Mozambique using Google Earth Engine Cyclone Eloise just hit Mozambique’s Sofala coastal province at the end of last month, displacing thousands of people and ruining crops [1]. The authorities are still gauging the full extent of the damage by severe winds and heavy rains across the rest of the region, but this is nothing that Mozambique has had to face for the first time. Throughout its history, the country has coped with a succession of cyclones and floods and has been repeatedly exposed to disastrous events in recent years. Mozambique’s geographic position, location, and size leave the country vulnerable to extreme and complex hydrological hazards

Advocating for senior citizens in an aging world

Advocating for senior citizens in an aging world More than 500 million people aged 65 and above over half the age group currently live in cities, with the majority living in low- and middle-income countries. [2] This rapidly aging urban population requires an understanding of the factors that affect older people in the cities where they live. Also, as cities may further marginalize those already excluded from spaces, services, and society in older age, the demand for relevant data and evidence that would hold stakeholders accountable in delivering improvements that benefit older people and the broader communities is increasing. Image from HelpAge International

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