For medical students and doctors
Mapping Report - Portugal
Disaster Recovery Toolkit
Disaster Recovery Toolkit
Prepared as an outcome of ICMR Subcommittee on Soft Tissue Sarcoma and Osteosarcoma | This consensus document on Management of Soft Tissue Sarcoma and Osteosarcoma summarizes the modalities of treatment including the site-specific anti-cancer therapies, supportive and palliative care and molecular ...markers and research questions. It also interweaves clinical, biochemical and epidemiological studies.
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This report has been developed, based on data provided by the TB & ORD surveillance system from across Rwanda. It provides a comprehensive picture of the occurrence and management of TB & ORD and Leprosy in Rwanda. It is structured based on the 2013-2018 Rwanda TB national strategic plan (2013-2018 ...TB NSP) and on the 2014-2018 Rwanda Leprosy national strategic plan (2014-2018 Leprosy NSP).
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The ‘Toolkit’ is targeted at practitioners responsible for implementing recovery programmes, their objective to provide a ‘how to’ guide on development, implementing and managing complex post-disaster recovery programmes.
Disaster Recovery Toolkit
Policy Brief | April 2015 | This brief accompanies the data sheet, Addressing Risk Factors for Noncommunicable Diseases Among Young People in Africa: Key to Prevention and Sustainable Development, and its data appendix, which provide all available country-specific data on four key NCD risk factors a...mong young people in Africa since 2004. These publications extend an earlier publication, Noncommunicable Disease Risk Factors Among Young People in Africa: Data Availability and Sources. All are available at www.prb.org/Publications/Datasheets/2015/ncd-risk-youth-africa.aspx.
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To evaluate the epidemiological evolution of patients with HIV (PtHIV), between 2002 and 2012, in a day-hospital that became an HIV reference centre for south-west Burkina Faso.
This was a retrospective study of PtHIV followed in the Bobo Dioulasso university hospital since 2002. The study was ba...sed on clinical data recorded using ESOPE software and analysed using Excel and SAS.
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