ABSTRACT
BACKGROUND@#Current studies on the COVID-19 depicted a general incubation period distribution and did not examine whether the incubation period distribution varies across patients living in different geographical locations with varying environmental attributes. Profiling the incubation distributions geographically help to determine the appropriate quarantine duration for different regions.@*METHODS@#This retrospective study mainly applied big data analytics and methodology, using the publicly accessible clinical report for patients (n = 543) confirmed as infected in Shenzhen and Hefei, China. Based on 217 patients on whom the incubation period could be identified by the epidemiological method. Statistical and econometric methods were employed to investigate how the incubation distributions varied between infected cases reported in Shenzhen and Hefei.@*RESULTS@#The median incubation period of the COVID-19 for all the 217 infected patients was 8 days (95% CI 7 to 9), while median values were 9 days in Shenzhen and 4 days in Hefei. The incubation period probably has an inverse U-shaped association with the meteorological temperature. The warmer condition in the winter of Shenzhen, average environmental temperature between 10 °C to 15 °C, may decrease viral virulence and result in more extended incubation periods.@*CONCLUSION@#Case studies of the COVID-19 outbreak in Shenzhen and Hefei indicated that the incubation period of COVID-19 had exhibited evident geographical disparities, although the pathological causality between meteorological conditions and incubation period deserves further investigation. Methodologies based on big data released by local public health authorities are applicable for identifying incubation period and relevant epidemiological research.
Subject(s)
Adolescent , Adult , Aged , Child , Female , Humans , Male , Middle Aged , Young Adult , COVID-19/prevention & control , China/epidemiology , Geography , Infectious Disease Incubation Period , Quarantine , Retrospective Studies , SARS-CoV-2ABSTRACT
RESUMO O agravamento da poluição atmosférica nos centros urbanos devido ao crescimento das instalações industriais e da frota veicular é um problema que causa danos ambientais, afetando também a saúde humana, principalmente pela inalação de material particulado fino (MP2,5). O objetivo deste estudo foi avaliar a influência das condições meteorológicas na concentração de MP2,5 em Belo Horizonte, utilizando dados amostrados entre o inverno de 2007 e o outono de 2008. Além disso, foram avaliadas as diferenças dos dados meteorológicos e da concentração do MP2,5 entre as estações do ano nesse período. Para tanto, foram realizados testes estatísticos de correlação entre os dados meteorológicos e a concentração de MP2,5, além de análises de significância para avaliação das diferenças entre esses dois parâmetros nos períodos seco e chuvoso, característicos da área de estudo. Foi observada diferença significativa entre a concentração do MP2,5 nos períodos seco e chuvoso. Foram também observadas diferenças significativas entre os parâmetros meteorológicos (umidade relativa; temperatura mínima, média e máxima; e direção do vento) para esses períodos. Por meio da análise de correlação de Spearman, observou-se correlação significativa entre a concentração do MP2,5 e os parâmetros meteorológicos precipitação e umidade relativa do ar.
ABSTRACT The increase of air pollution in urban centres due to the growth of industrial facilities and vehicular fleet is a problem that causes environmental damage and affects human health, mainly due to the inhalation of fine particulate matter (PM2.5). For this reason, the aim of this study was to evaluate the influence of meteorological conditions on PM2.5 concentration in Belo Horizonte, using data sampled from the winter of 2007 to the autumn of 2008. In addition, the differences in meteorological data and PM2.5 concentration between the seasons of the year in this study's period were also assessed. For this, correlation statistical tests were performed for meteorological data and PM2.5 concentration, as well as significance analysis to evaluate the differences between these two parameters in the dry and wet periods, characteristic of the study area. It was observed a significant difference between PM2.5 concentration in dry and wet periods. Significant differences were also observed between meteorological parameters (relative humidity, minimum, mean and maximum temperature and wind direction) for these periods. Spearman's correlation analysis showed a significant correlation between PM2.5 concentration and the meteorological parameters precipitation and relative humidity.
ABSTRACT
Objective To explore the relationship between meteorological conditions and emergency visiting of acute onset of renal colic caused by kidney stones. Methods Retrospective study design was applied to collect the emergency visiting data of acute renal colic attack in zhongnan hospital of Wuhan university from January 1, 2016 to December 31, 2017, as well as the average daily temperature and humidity in wuhan, hubei province during the same period. Pearson correlation analysis and linear regression analysis were used to study the relationship between meteorological conditions and emergency visiting of acute onset of renal colic caused by kidney stones. Results The results of multivariate linear regression analysis showed that the R 2 of daily visits of patients with renal colic and daily meteorological conditions was 0.309 (P < 0.05), and the R 2 of monthly visits of patients and monthly meteorological conditions was 0.642 (P<0.05). Conclusions Both temperature and humidity are correlated with the number of emergency visits of acute attack patients with renal calculi and colic.
ABSTRACT
Records on every 6 hour symptom were kept for the period from July 15 through November 30, 1983 by 19, 19 and 26 patients who were outpatients at the Sapporo Civil Hospital, the University of Tokyo Hospital and the University of Ryukyu Hospital. Every 6 hour fluctuations in percentage of asthmatic symptoms were calculated from these records.<br>Meteorological conditions prevailing each city were classified into 9 patterns, i. e., west-high-east-low pattern, north-high pattern, south-high-north-low pattern, east-high-west-low pattern, ridge pattern, trough pattern (east-west), migratory anticyclone pattern, trough pattern (south-north) and tropical depression pattern.<br>An asthma frequency (AF)in days under a certain type of meteorological conditions was compared with that in all the other days. Asthmatic symptoms were more frequent in the days under west-high-east-low pattern and those under migratory anticyclone pattern were also higher. An AF in days under south-high-north-low pattern and that in days under trough pattern (east-west) were lower.<br>Most of days under west-high-east-low pattern were in late autumn in each of the 3 cities. The temperature of the days in Tokyo under this pattern were lower than the control days which belonged to the same period. Days under migratory anticyclone pattern were in the whole period of this study in Sapporo, in autumn in Tokyo and Naha. The temperature of these days in Sapporo and Tokyo was significantly lower than those of the control days.<br>Most of days under south-high-north-low pattern were in summer in each of the 3 cities. The temperature of the days in Tokyo under this pattern was significantly higher than those of the controls. Days under trough pattern (east-west) were from late summer to autumn in Naha. There was no difference in the temperature between the days under this pattern and the control days.<br>In summary, some of meteorological conditions had acute effects on asthma frequencies. When significant differences were observed in the temperature, it was lower (higher) in the days under a meteorological condition, under which the asthma frequency was high (low), than in the control days which belonged to the same period.