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This study aimed to analyze the geographical distribution of coronavirus disease 2019 (COVID-19) and to identify high-risk areas in space and time for the occurrence of cases and deaths in the indigenous population of Brazil. This is an ecological study carried out between 24 March and 26 October 20
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20 whose units of analysis were the Special Indigenous Sanitary Districts. The Getis-Ord General G and Getis-Ord Gi* techniques were used to verify the spatial association of the phenomena and a retrospective space–time scan was performed. There were 32 041 confirmed cases of COVID-19 and 471 deaths. The non-randomness of cases (z score = 5.40; P < 0.001) and deaths (z score = 3.83; P < 0.001) were confirmed. Hotspots were identified for cases and deaths in the north and midwest regions of Brazil. Sixteen high-risk space–time clusters were identified for the occurrence of cases with a higher RR = 21.23 (P < 0.001) and four risk clusters for deaths with a higher RR = 80.33 (P < 0.001). These clusters were identified from 22 May and were active until 10 October 2020. The results indicate critical areas in the indigenous territories of Brazil and contribute to better directing the actions of control of COVID-19 in this population.
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Over the 20 years that followed, this unique partnership has invested more than US$53 billion, saving 44 million lives and reducing the combined death rate from the three diseases by more than half in the countries in which the Global Fund invests.
From Paper to Practice
MMWR. Recommendations and Reports:
December 16, 2005 / 54(RR15);49-55
The present booklet is about gender-responsive substance abuse treatment services for women. It is part of the United Nations Office on Drugs and Crime (UNODC) project to develop tools to support the development and improvement of substance abuse treatment services, based on evidence from the litera
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ture and case studies that illustrate practical experiences and lessons learned in providing substance abuse treatment services in various regions of the world.
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Glob Heart . 2020 Oct 13;15(1):69. doi: 10.5334/gh.891.
PLoS Negl Trop Dis 15(8): e0009697. Chagas disease (CD), caused by the parasite Trypanosoma cruzi, affects ~6–7 million people worldwide. Significant limitations still exist in our understanding of CD. Harnessing individual participant data (IPD) from studies could support more in-depth analyses t
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o address the many outstanding research questions. This systematic review aims to describe the characteristics and treatment practices of clinical studies in CD and assess the breadth and availability of research data for the potential establishment of a data-sharing platform.
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A guide to facilitating community-managed disaster risk reduction in the Horn of Africa.
This manual describes how to help communities implement disaster risk reduction activities. It was written for development workers and community-based organizations in the Horn of Africa, but practitioners can
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use it to implement activities around the world
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A Resource Book of Inclusive Practices