In the Region of the Americas, between epidemiological week (EW) 1 and EW 52 of 2018, a total of 560,586 cases of dengue were reported (incidence rate of 57.3 cases per 100,000 population), including 336 deaths. Of the total cases, 209,192 (37.3%) were laboratoryconfirmed and 3,535 (0.63%) were clas...sified as severe dengue. Cases reported in 2018 were higher than the total reported in 2017 but lower than the historical average reported in the previous 11 years (2006-2016) (Figure 1). Similarly, the proportion of cases of severe dengue and dengue with warning signs reported in 2018 was higher than the previous two years, but lower than the preceding ten years, and it remains below 1% which was reached in 2015.
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Sources: National Commitment and Policy Instrument, 2019
This is the first global report on epilepsy summarizing the available evidence on the burden of epilepsy and the public health response required at global, regional and national levels.
The reports highlights major gaps in awareness, diagnosis, treatment, and health policies through a series of a...ppalling numbers. With around 50 million people affected worldwide, epilepsy is one of the most common and serious brain disorders. Nearly 80% of people with epilepsy live in low-income and middle-income countries
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Diphtheria in the Americas -Summary of the situation.
In 2018, three countries in the Region of the Americas (Colombia, Haiti, and the Bolivarian Republic of Venezuela) reported confirmed cases of diphtheria. In 2019, Haiti and Venezuela reported confirmed cases.
A key component of epidemic and pandemic preparedness is ensuring systems are in place for real-time information to flow from a trusted source to the people at risk.
In the absence of such information rumours can spread rapidly through social media, resulting in an INFODEMIC. EPI-WIN is the WHO Inf...ormation Network for Epidemics that will provide tailored information to different audiences during a public health event.
EPI-WIN seeks to give everyone access to timely, accurate, and easy-to-understand advice and information from trusted sources on public health events and outbreaks: currently the COVID-19 public health emergency.
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This calculator implements a classical infectious disease model — SEIR (Susceptible → Exposed → Infected → Removed), an idealized model of spread still used in frontlines of research e.g.
Orientations dans le cadre de la COVID-19
Why are experts concerned about COVID-19 and antibiotics? And what can you do about it? Learn about antibiotics and COVID-19 from WHO’s Dr Hanan Balkhy in Science in 5
How far apart should the doses of vaccines be? What if I miss my second dose? Can I get two doses from two different manufacturers? How was safety of vaccines ensured? WHO’s Chief Scientist, Dr Soumya Swaminathan explains in Science in 5.
16 December 2020. This document summarizes current WHO guidance for public health surveillance of coronavirus disease 2019 (COVID-19) in humans caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (hereafter referred to as COVID19 surveillance).
If you have Tuberculosis, what is your risk from COVID-19? How can you keep yourself safe during the pandemic? Why is it important that the world does not take its eyes off TB during the Pandemic? Dr Tereza Kasaeva explains in Science in 5 this week.
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.
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