Harm Reducation, Decriminalization and Zero Discrimination for People who use Drugs
Training Modules for climate change and Health - WHO
DHS Working Papers No. 98.
Strengthening resource tracking and monitorig health expanditure
PLoS ONE 11(1): e0144662. doi:10.1371/journal.pone.0144662
The crisis caused by the COVID-19 pandemic exacerbated preexisting structural economic inequalities, and had a disproportionate impact on informal workers, especially on women and young people, who lost jobs and income. The situation was even more difficult for single-parent households led by women,... who also had to endure more housework and care tasks. As shown by various research studies, the asymmetric distribution of care tasks, taken up by women, is an inequality factor.
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Donor financing to low- and middle-income countries for reproductive, maternal, newborn, and child health increased substantially from 2008 to 2013. However, increased spending by donors might not improve outcomes, if funds are delivered in ways that undermine countries’ public financial managemen...t systems and incur high transaction costs for project implementation
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Experience of national TB partnerships
Climate-related disasters, heatwaves, climate-sensitive diseases, and severe droughts and floods are taking lives and harming health, livelihoods, and ecosystems across the countries of the Caribbean, as in other Small Island Developing States (SIDS) around the world. In recognition of the high vuln...erability of those countries, the World Health Organization launched in 2017 the Special Initiative on Climate Change and Health in Small Island Developing States, aiming to increase the resilience of these countries and territories to climate variability and climate change
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This Key Indicators report presents selected findings of the 2019 EMDHS. A comprehensive analysis of the data will be publishedin a final report in 2019.T he primary objective of the 2019 EMDHS project is to provide up-to-date estimates of key demographic and health indicators.
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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Kulkarni et al. The Journal of Headache and Pain (2015) 16:67 DOI 10.1186/s10194-015-0549-x