A Decade of Change for Newborn Survival: Bangladesh
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
A GUIDE FOR HEALTH WORKERS AND AUTHORITIES IN NIGERIA
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
HIV Country Intelligence - HIV Country Profiles
методические рекомендации на тему эпидемиологические исследования паркинсонизма,
O PEN IV reune informação de inquéritos, estudos epidemiológicos e comportamentais, tendo como objetivo estabelecer os objetivos e metas no combate à epidemia do HIV/SIDA em Moçambique através de uma abordagem que reforça e dinamiza o envolvimento de todos os setores do Estado, Sociedade... Civil e Sector Privado.
more
Nepal is on target to meet the Millennium Development Goals for maternal and child health despite high levels of poverty, poor infrastructure, difficult terrain and recent conflict. Each year, nearly 35000 Nepali children die before their fifth birthday, with almost two-thirds of these deaths occurr...ing in the first month of life, the neonatal period. As part of a multi-country analysis, we examined changes for newborn survival between 2000 and 2010 in terms of mortality, coverage and health system indicators as well as national and donor funding.
more
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...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.
more