Application of Soft Computing Models to Daily Average Temperature Analysis

2015 ◽  
Vol 1 (2) ◽  
pp. 56
Author(s):  
Mustafa Göçken ◽  
Aslı Boru ◽  
Ayşe Tuğba Dosdoğru ◽  
Nafiz Berber
Keyword(s):  
Soft Computing ◽  
Temperature Analysis ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature ◽  
Computing Models

scholarly journals Application of Soft Computing Models to Daily Average Temperature Analysis

2015 ◽  
Vol 1 (2) ◽  
pp. 56-64
Author(s):  
Mustafa Göçken ◽  
Aslı Boru ◽  
Ayşe Tuğba Dosdoğru ◽  
Nafiz Berber
Keyword(s):  
Soft Computing ◽  
Temperature Analysis ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature ◽  
Computing Models

Modeling the Daily Average Temperature

2012 ◽  
pp. 87-164
Author(s):  
Antonis K. Alexandridis ◽  
Achilleas D. Zapranis
Keyword(s):  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature

scholarly journals Outdoor temperature and survival benefit of empiric potassium in users of furosemide in US Medicaid enrollees: a cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. e023809
Author(s):  
Young Hee Nam ◽  
Warren B Bilker ◽  
Charles E Leonard ◽  
Michelle L Bell ◽  
Sean Hennessy
Keyword(s):  
Cohort Study ◽  
Survival Benefit ◽  
Maximum Temperature ◽  
Daily Maximum Temperature ◽  
Daily Maximum ◽  
Total N ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature ◽  
All Cause Mortality

ObjectiveHeat is associated with elevated all-cause mortality, and furosemide-induced potassium depletion might be worsened by heat-induced sweating. Because empiric potassium is associated with a marked survival benefit in users of furosemide at a dose of ≥40 mg/day, we hypothesised that this empiric potassium’s survival benefit would increase with higher temperature (≥24°C).DesignCohort study.SettingOutpatient setting, captured by Medicaid claims, supplemented with Medicare claims for dual enrollees, from 5 US states from 1999 to 2010, linked to meteorological data.Population/ParticipantsFurosemide (≥40 mg/day) initiators among adults continuously enrolled in Medicaid for at least 1 year prior to cohort entry (defined as the day following the dispensing day of each individual’s first observed furosemide prescription).ExposureInteraction between: (1) empiric potassium, dispensed the day of or the day following the dispensing of the initial furosemide prescription, and (2) daily average temperature and daily maximum temperature, examined separately.OutcomeAll-cause mortality.ResultsIn 1:1 propensity score matched cohorts (total n=211 878) that included 89 335 person-years and 9007 deaths, all-cause mortality rates per 1000 person-years were 96.0 (95% CI 93.2 to 98.9) and 105.8 (95% CI 102.8 to 108.9) for potassium users and non-users, respectively. The adjusted OR of all-cause mortality for potassium use declined (ie, its apparent protective effect increased) as temperature increased, from a daily average temperature of about 28°C and a daily maximum temperature of about 31°C. This relationship was not statistically significant with daily average temperature, but was statistically significant with daily maximum temperature (p values for the interaction of potassium with daily maximum temperature and daily maximum temperature squared were 0.031 and 0.028, respectively).ConclusionsThe results suggest that empiric potassium’s survival benefit among furosemide (≥40 mg/day) initiators may increase as daily maximum temperature increases. If this relationship is real, use of empiric potassium in Medicaid enrollees initiating furosemide might be particularly important on hot days.

scholarly journals Estimation of daily average temperature using multisource spatial data in data sparse regions of Central Asia

2013 ◽  
Vol 7 (1) ◽  
pp. 073478 ◽  
Author(s):  
Mingyong Cai ◽  
Shengtian Yang ◽  
Changsen Zhao ◽  
Hongjuan Zeng ◽  
Qiuwen Zhou
Keyword(s):  
Central Asia ◽  
Spatial Data ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature

scholarly journals Temperature and relative humidity are not major contributing factor on the occurrence of COVID-19 pandemic: An observational study in 57 countries

2020 ◽  
Author(s):  
Md. Abdus Sobur ◽  
Md. Saiful Islam ◽  
Md. Emdadul Haque ◽  
Md. Taohidul Islam ◽  
Antonio Toniolo ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Linear Regression ◽  
Polynomial Regression ◽  
Linear Regression Analysis ◽  
Climatic Conditions ◽  
Control Measures ◽  
Quadratic Term ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature

AbstractThe world searching for hope has already experienced a huge loss of lives due to COVID-19 caused by SARS-CoV-2 started in Wuhan, China. There are speculations that climatic conditions can slowdown the transmission of COVID-19. Findings from the early outbreak indicated the possible association of air temperature and relative humidity in COVID-19 occurrence in China. Current study focused on whether climatic conditions(temperature and relative humidity)are having any influence in the occurrence of COVID-19 when the outbreak has been classified as pandemic. To determine the effect of daily average temperature and average relative humidity on log-transformed total daily cases of COVID-19, polynomial regression as a quadratic term and linear regression were done. Linear regression analysis was also carried out to explore the same effect on selected countries. Present study observed no correlation between the climatic conditions (the daily average temperature and relative humidity) and the number of cases of COVID-19. Similar result was found in relation between daily average temperature and average number of cases per day in country-wise analysis. However, about 93.5% cases of COVID-19 occurred between 1°C to 16°C and the average number of cases per day was lower in high temperature country than low temperature country with exceptions. The minimum effect of summer temperature may not be effective to control the pandemic rather need to apply the control measures of COVID-19.

scholarly journals Associations between ambient temperature and acute myocardial infarction

Open Medicine ◽  
2018 ◽  
Vol 14 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Hong-Ying Zhao ◽  
Jing-Min Cheng
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Ambient Temperature ◽  
Incidence Rate ◽  
Daily Temperature ◽  
Daily Temperature Range ◽  
Temperature Range ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature

AbstractBackgroundThe associations between incidence of acute myocardial infarction (AMI) and the ambient temperature were mixed in prior studies.MethodsData of 2033 consecutive admissions of AMI in a central tertiary hospital in North China from 1st Jan 2003 to 31st Dec 2011 were collected. The weather data in this period were from the local meteorological department. Based on the ambient temperature information, we defined several ambient temperature indices, including daily average temperature, extremely low temperature, and daily temperature range, then characterized the independent associations between them and the incidence of AMI.ResultsThe daily average temperature one day before was independently associated with AMI incidence rate: a rise of 5°C of the daily average temperature led to a 5% decrease in AMI admissions. Daily average temperature and temperature range two days before were independently associated with AMI incidence rate: a rise of 5°C of the daily average temperature led to a fall of 6% in AMI admissions, and a rise of 2°C of the daily temperature range led to a rise of 4% in AMI admission.ConclusionLow ambient temperature has substantial association with AMI, and can play an important role in warning and forecasting the incidence.

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