scholarly journals Authors’ Response to Peer Reviews of “Evaluating Population Density as a Parameter for Optimizing COVID-19 Testing: Statistical Analysis”

JMIRx Med ◽  
10.2196/27258 ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. e27258
Author(s):  
Karim I Budhwani ◽  
Henna Budhwani ◽  
Ben Podbielski
Keyword(s):  
Statistical Analysis ◽  
Population Density ◽  
Peer Reviews

Nursing Homes in Spain and Their High Number of Deaths by COVID-19 as an Alarm in the Study of Indoor Air Quality

2021 ◽  
pp. 118-145
Author(s):  
Gastón Sanglier Contreras ◽  
Jose Amílcar Rizzo Sierra ◽  
Eduardo José López Fernández ◽  
Roberto Alonso González Lezcano
Keyword(s):  
Energy Efficiency ◽  
Statistical Analysis ◽  
Air Quality ◽  
Nursing Homes ◽  
Population Density ◽  
Indoor Air Quality ◽  
Autonomous Communities ◽  
La Mancha ◽  
Number Of Factors ◽  
Determining Factor

Nursing homes have been one of the most prominent targets of the COVID-19 coronavirus in Spain. The factors that have determined that this is the case are very diverse. In this study, physical agents and chemical pollutants, population density, and different capacities of the residences are analyzed to see their influence on the number of elderly people who have died in the geriatric centres in the different autonomous communities (AACC) of Spain. A statistical analysis has been carried out on the variables observed. The conclusions show that in many places where this overflow of deaths has occurred, the residences were private, with some exceptions. The influence of physical agents and pollutants has been shown to be a determining factor, especially for the communities of Extremadura and Castilla-La Mancha, although it is true that the large number of factors makes the study complicated. The dilemma between air quality and energy efficiency is of great importance, especially when human health is at stake.

Average Population Density Estimation in Rail Transit Stations Based on Video Statistical Analysis

2014 ◽  
Vol 513-517 ◽  
pp. 3617-3620
Author(s):  
Bao Guo Zheng ◽  
Bing Xu ◽  
Zhong Jin Shi ◽  
Yi Huan Hui
Keyword(s):  
Statistical Analysis ◽  
Population Density ◽  
Density Estimation ◽  
Analysis Data ◽  
Estimation Methods ◽  
Efficient System ◽  
Intelligent Control System ◽  
Average Population Density ◽  
Average Population ◽  
Fuzzy Neural

This article describes the use of the average population density estimation methods based on video statistical analysis, and mainly discussed the research and application of the air conditioning energy-efficient system in the subway. The distributed intelligent control system in the subway station platform captured video images by more than one camera sensors, according to the computer image processing methods, for example it have the unique advantages for the fuzzy neural network to model the human nervous system in fuzzy information processing. This article used the improved Meanshift algorithm based on pixel energy to capture the moving target in the video. This method can legitimately divide the crowd by achieving the image intelligent analysis data, and whats more, it can help to get the estimation of population density.

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