Home

Results 1 - 10 of 116,591 for excessive. Search took 0.902 seconds.  
Sort by date/Sort by relevance
Excess mortality associated with COVID-19 is used to quantify the direct and indirect impacts of the pandemic. (...) Understanding the excess mortality: Excess mortality includes deaths attributable directly to COVID-19 that were counted and reported to WHO by countries. (...) Numbers in red indicate the total excess mortality from 1 January 2020 to 31 December 2021 for each region.  
Language:English
Score: 787328.2 - https://www.who.int/data/stori...-19-january-2020-december-2021
Data Source: un
Excess mortality associated with COVID-19 is used to quantify the direct and indirect impacts of the pandemic. (...) Understanding the excess mortality: Excess mortality includes deaths attributable directly to COVID-19 that were counted and reported to WHO by countries. (...) Numbers in red indicate the total excess mortality from 1 January 2020 to 31 December 2021 for each region.  
Language:English
Score: 787328.2 - https://www.who.int/data/stori...19-january-2020-december-2021/
Data Source: un
Excess mortality estimates: how many people have really died in the COVID-19 pandemic? (...) Figure 1: Percentage of excess deaths above normal Modelled excess deaths as a proportion of Covid-19 reported deaths As mentioned, it is expected that most excess deaths during 2020 and 2021 occurred as direct result of COVID-19 even though some deaths may result from indirect causes. Therefore, excess deaths should not deviate greatly from those as a direct result of COVID-19.
Language:English
Score: 776910.9 - https://www.unescap.org/blog/e...-really-died-covid-19-pandemic
Data Source: un
The WHO defines excess mortality as, "The mortality above what would be expected based on the non- crisis mortality rate in the population of interest." (...) World Health Organization 2 Currently, excess mortality cannot be derived for all countries when using standard methods because of gaps in the underlying data. (...) Statistical methods are applied for disaggregating the estimated number of excess deaths by age and sex for countries based on the levels of data availability.
Language:English
Score: 775254.05 - https://www.un.org/development..._mortality_methods_summary.pdf
Data Source: un
The model adopted for estimating excess deaths is not a ‘one-size-fits-all’ approach. WHO in collaboration with the TAG scrutinizes the relationships between excess mortality and certain contextually relevant variables in locations with good quality data to estimate excess mortality in countries with limited data. (...) How are countries grouped to determine the age-sex pattern of excess deaths? In order to determine age-sex patterns of excess deaths, countries are categorized into eight groups using a  K -means clustering approach.
Language:English
Score: 774966.75 - https://www.who.int/news-room/...ted-with-the-COVID-19-pandemic
Data Source: un
Panelists from academic, government and institutional sectors presented varying points of view on the causes, impacts and policy options of excessive price volatility in food and commodity markets. The extent to which excessive price volatility is a function of speculative trading in the futures markets was the key area of contention among the panelists and was rigorously debated. (...) The objectives of the debate were four-fold: 1) contribute towards developing a global consensus on the impacts of excessive speculative activity on commodity futures markets; 2) promote robust dialogue on how to best address excessive speculation in food and related commodity markets; 3) begin a process in which Member States assess and monitor the effects of excessive speculative activity; 4) advance global governance and the achievement of the Millennium Development Goals (MDGs).
Language:English
Score: 771357.86 - https://www.cepal.org/fr/node/33326
Data Source: un
Most of the excess deaths (84%) are concentrated in South-East Asia, Europe, and the Americas. Some 68% of excess deaths are concentrated in just 10 countries globally. (...) The absolute count of the excess deaths is affected by the population size.
Language:English
Score: 770049.8 - https://www.who.int/news/item/...d-19-pandemic-in-2020-and-2021
Data Source: un
In light of the challenges posed by using reported COVID-19 data, excess mortality is considered a more objective and comparable measure. The WHO defines excess mortality as "the mortality above what would be expected based on the non-crisis mortality rate in the population of interest".   (...) The TAG proposed a method for generating estimates of  excess mortality on global, regional and national levels. 
Language:English
Score: 766365.3 - https://www.who.int/data/sets/...th-covid-19-modelled-estimates
Data Source: un
© Hon Fai Ng, ITU13 QUESTION 2/7 For beam KTR3S in group 116.677654, what is the PFD excess value (dB) for the emission 29M6G7F--? ANSWER a. 34.00 b. -146.65 c. 1.35 PFD excess value Hint: Use the search function in Notepad © Hon Fai Ng, ITU14 QUESTION 3/7 Assuming KTR3S is a fixed beam, what would be the finding of emission 29M6G7F--? (...) Unfavourable Worst case location is at 5 deg elevation angle & Administration provided a method to meet PFD hard limits to BR Exceeds tolerable excess © Hon Fai Ng, ITU19 QUESTION 7/7 What parameters will affect PFD (space-to-Earth) excess? MULTIPLE ANSWERS • Maximum power density or total peak power • Satellite transmit gain • Earth station gain or antenna diameter • Earth station antenna pattern • Test point location • Frequency bands and service Formula Excess = PFD – PFD Limit where PFD = PDmax + 10log(BWref) + G(θ) – 10log(4πR 2) dB(W/m2) © Hon Fai Ng, ITU20 GIBC “Trigger” option To establish coordination requirements Excess = Coordination may be required, Adm needs to confirm Provisions: 9.14, 9.11, 9.21/C GIBC “Hard Limits” option To establish findings Excess = Unfavourable (except for steerable beams, conditions apply) Hard Limits vs Trigger © Hon Fai Ng, ITU21 PFD.LST (TRIGGER) STRUCTURE Beam Groups Frequency assignments & Results (Frequency x emission) Satellite Network Contains list of ALL countries where PFD trigger is exceeded © Hon Fai Ng, ITU22 PFD.LST (TRIGGER) List of ALL countries where PFD trigger is exceeded | PFD excess in the country ..
Language:English
Score: 758321.44 - https://www.itu.int/en/ITU-R/s.../WRS16space/PFD%20External.pdf
Data Source: un
Panelists from academic, government and institutional sectors presented varying points of view on the causes, impacts and policy options of excessive price volatility in food and commodity markets. The extent to which excessive price volatility is a function of speculative trading in the futures markets was the key area of contention among the panelists and was rigorously debated. (...) The objectives of the debate were four-fold: 1) contribute towards developing a global consensus on the impacts of excessive speculative activity on commodity futures markets; 2) promote robust dialogue on how to best address excessive speculation in food and related commodity markets; 3) begin a process in which Member States assess and monitor the effects of excessive speculative activity; 4) advance global governance and the achievement of the Millennium Development Goals (MDGs).
Language:English
Score: 757872.07 - https://www.cepal.org/en/notes...ate-addressing-excessive-price
Data Source: un