Many features of the environment have been found to exert an important influence on cardiovascular disease (CVD) risk, progression, and severity. Changes in the environment due to migration to different geographic locations, modifications in lifestyle choices, and shifts in social policies and cultu...ral practices alter CVD risk, even in the absence of genetic changes. Nevertheless, the cumulative impact of the environment on CVD risk has been difficult to assess
and the mechanisms by which some environment factors influence CVD remain obscure. Human environments are complex; and their natural, social and personal domains are highly variable due to diversity in human ecosystems, evolutionary histories, social structures, and individual choices. Accumulating evidence supports the notion that ecological features such as the diurnal cycles of
light and day, sunlight exposure, seasons, and geographic characteristics of the natural environment such altitude, latitude and greenspaces are important determinants of cardiovascular health and CVD risk. In highly developed societies, the influence of the natural environment is moderated by the physical characteristics of the social environments such as the built environment
and pollution, as well as by socioeconomic status and social networks. These attributes of the
social environment shape lifestyle choices that significantly modify CVD risk. An understanding
of how different domains of the environment, individually and collectively, affect CVD risk could
lead to a better appraisal of CVD, and aid in the development of new preventive and therapeutic
strategies to limit the increasingly high global burden of heart disease and stroke.
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The majority of Countdown countries did not reach the fourth Millennium Development Goal (MDG 4) on reducing child mortality, despite the fact that donor funding to the health sector has drastically increased. When tracking aid invested in child survival, previous studies have exclusively focused on... aid targeting reproductive, maternal, newborn, and child health (RMNCH). We take a multi-sectoral approach and extend the estimation to the four sectors that determine child survival: health (RMNCH and non-RMNCH), education, water and sanitation, and food and humanitarian assistance (Food/HA). Methods and findings: Using donor reported data, obtained mainly from the OECD Creditor Reporting System and Development Assistance Committee, we tracked the level and trends of aid (in grants or loans) disbursed to each of the four sectors at the global, regional, and country levels. We performed detailed analyses on missing data and conducted imputation with various methods. To identify aid projects for RMNCH, we developed an identification strategy that combined keyword searches and manual coding. To quantify aid for RMNCH in projects with multiple purposes, we adopted an integrated approach and produced the lower and upper bounds of estimates for RMNCH, so as to avoid making assumptions or using weak evidence for allocation. We checked the sensitivity of trends to the estimation methods and compared our estimates to that produced by other studies. Our study yielded time-series and recipient-specific annual estimates of aid disbursed to each sector, as well as their lower- and upper-bounds in 134 countries between 2000 and 2014, with a specific focus on Countdown countries. We found that the upper-bound estimates of total aid disbursed to the four sectors in 134 countries rose from US$ 22.62 billion in 2000 to US$ 59.29 billion in
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From the start of the COVID-19 pandemic until August 2021, extreme weather events have affected at least 139.2 million people and killed at least 17,242 people in at least 433 unique events. These figures are certainly an underestimate, as they do not include estimates of numbers of people affected ...by extreme temperatures, or mortality during drought events.
One dimension of the compound risk of COVID-19 and climate extremes was the additional challenge of preparing for and responding to disasters during the pandemic, such as the constraints of physical distancing during evacuations and response operations.
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Rapport spécial du GIEC sur le changement climatique,
la désertification, la dégradation des sols, la gestion durable
des terres, la sécurité alimentaire et les flux de gaz à effet de
serre dans les écosystèmes terrestres
This toolkit consists of eight modules which have been prepared as stand-alone documents that can be read by themselves, but they have also been prepared to complement one another. It has been designed as a tool for health professionals and students in the health care and public health sectors who ...want to engage more directly on the issue of climate change as educators with their patients, peers and communities, and/or as advocates for the policies, programs and practices needed to mitigate climate change and/or prepare for climate change in their workplaces and communities
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orientations provisoires, 14 juin 2021
orientaciones provisionales, 14 de junio de 2021
Agriculture is highly exposed to climate change, as farming activities directly depend on climatic conditions. Agriculture also contributes to climate change through the release of greenhouse gases into the atmosphere. Two powerful greenhouse gases are by-products of agricultural activity:
Methan...e (CH4) – from livestock digestion processes and stored animal manure;
Nitrous oxide (N2O) – from organic and mineral nitrogen fertilisers.
However, agriculture can also contribute to climate change mitigation by reducing greenhouse gas emissions and by sequestering carbon while maintaining food production.
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Considerations on the implementation and adjustment of
public health and social measures in the context of
COVID-19
Interim guidance 14 June 2021
Findings, interpretations and conclusions
expressed in this document are based on infor-
mation gathered by GIZ and its consultants,
partners and contributors from reliable sources.
J Pediatr Rev 2015, vol.3 (1) e361
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat...al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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Report of a World Health Organization and International Diabetes Federation meeting
The approach is in line with two of the five objectives outlined in the Every Newborn Action Plan (ENAP): Strategic Objective 2 – Improve the quality of maternal and newborn care; and Strategic Objective 5 – Count every newborn through measurement, programme-tracking and accountability to genera...te data for decision-making and action.
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