BackgroundClimate change is one of the great challenges of our time. The consequences of climate change on exposed biological subjects, as well as on vulnerable societies, are a concern for the entire scientific community. Rising temperatures, heat waves, floods, tornadoes, hurricanes, droughts, fir...es, loss of forest, and glaciers, along with disappearance of rivers and desertification, can directly and indirectly cause human pathologies that are physical and mental.
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SHOPS and HIA finalized a scope of work with USAID Senegal in April 2015, and a team of five private sector experts conducted the onsite assessments between May and June 2015. The Private Sector Assessment (PSA) team worked closely with Senegalese key stakeholders throughout the process. The PSA tea...m interviewed more than120 individuals from approximately 78 organizations, including the government of Senegal (GOS), donors, USAID implementing partners, private sector umbrella organizations, private insurance companies, faith-based organizations (FBOs), nongovernmental organizations (NGOs), private health care facilities, and private pharmacies.
Through stakeholder interviews and review of government reports and online resources, the assessment team noted the following findings by theme.
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Saudi Journal of Biological Sciences. http://dx.doi.org/10.1016/j.sjbs.2016.03.006
Open Access
DHS Working Papers No. 85
The purpose of Volume 2 is to provide a full set of reference data showing performance over the period of the previous National Health Plan 2001–2010, to provide a baseline against which performance over the next ten years can be measured, and to highlight in greater detail some of the contex...t against which the policies and strategies described in Volume 1 can be understood.
This Part A of Volume 2 provides data and context from a whole-of-country perspective. The data will be useful for provinces and national-level program staff within the National Department of Health to establish benchmarks and targets in the Five-year Strategic Implementation Plans to be developed to support implementation of this Plan. Additionally, this Volume will serve as a reference manual for all health sector stakeholders.
Original file: 77 MB
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UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
(African Development Bank policy research document 1)
The report examines financing in the battle against malaria, focusing on the role of foreign aid. It analyzes whether or not a disease such as malaria can be controlled or eliminated in Africa without health aid. It also presents a theoretic...al model of the economics of malaria and shows how health aid can help avoid the “disease trap.” While calling for increased funding from international sources to fight malaria, it also recommends that African countries step up their own efforts, including on domestic resource mobilization. In 2016, governments of endemic countries contributed 31% of the estimated total of US $ 2.7 billion.
Between 2000 and 2014, malaria control efforts were scaled up and worldwide deaths were cut in half. But declining health aid and deprioritized vertical aid (as for malaria), despite its potentially great efficiency, have led to rising numbers of cases. In 2016, 216 million cases of malaria were reported, up from 211 million in 2015. Africa was home to 90% of all malaria cases and 91% of malaria deaths in 2016. Progress appears to have stalled in the global fight against the disease.
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This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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