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BACKGROUND Fluctuations in climate have been associated with variations in mosquito abundance. OBJECTIVES To analyse the influence of precipitation, temperature, solar radiation, wind speed and humidity on the oviposition dynamics of Aedes aegypti in three distinct environmental areas (Brasília Teimosa, Morro da Conceição/Alto José do Pinho and Dois Irmãos/Pintos) of the city of Recife and the Fernando de Noronha Archipelago northeastern Brazil. METHODS Time series study using a database of studies previously carried out in the areas. The eggs were collected using spatially distributed geo-referenced sentinel ovitraps (S-OVTs). Meteorological satellite data were obtained from the IRI climate data library. The association between meteorological variables and egg abundance was analysed using autoregressive models. FINDINGS Precipitation was positively associated with egg abundance in three of the four study areas with a lag of one month. Higher humidity (β = 45.7; 95% CI: 26.3 - 65.0) and lower wind speed (β = −125.2; 95% CI: −198.8 - −51.6) were associated with the average number of eggs in the hill area. MAIN CONCLUSIONS The effect of climate variables on oviposition varied according to local environmental conditions. Precipitation was a main predictor of egg abundance in the study settings.
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Animals , Female , Oviposition/physiology , Aedes/physiology , Population , Seasons , Brazil , Population Dynamics , Cities , Mosquito Vectors/physiologyABSTRACT
Objective To investigate the correlation between meteorological factors and short-term outcomes in patients with acute noncardioembolic stroke.Methods Patients with acute noncardioembotic stroke admitted to the Department of Neurology,the Second Hospital of Tianjin Medical University from March 2009 to February 2012,were enrolled retrospectively.The modified Rankin Scale (mRS) scores were collected at discharge or 14 d after onset,and good outcome was defined as mRS 0-2,poor outcome as mRS ＞ 2.The demographic,baseline clinical data,laboratory findings,and meteorological parameters on the day of onset were compared between the good outcome group and the poor outcome group.Multivariate logistic regression analysis was used to determine the independent risk factors of short-term outcomes.Results A total of 868 patients w ith acute noncardioembolic stroke w ere enrolled,including 535 (61.6％) with good outcome and 333 (38.4％) with poor outcome.Univariate analysis showed that age,baseline National Institutes of Health Stroke Scale score,systolic pressure,fasting blood glucose,daily average wind speed as w ell as the proportion of ischemic heart disease,history of stroke or transient ischemic attack,and moderate to severe stroke in the poor outcome group were significantly higher than those in the good outcome group;daily average temperature and daily average relative humidity in the poor outcome group w ere significantly low er than those in the good outcome group (all P ＜ 0.05).Multivariate logistic regression analysis showed that lower daily average temperature (odds ratio 0.978,95％ confidence interval 0.959-0.998;P =0.032) and higher daily average wind speed (odds ratio 1.442,95％ confidence interval 1.065-1.953;P =0.018) w ere independently correlated with the short-term outcomes.Conclusion Daily average temperature and daily average wind speed were significantly correlated with the short-term outcomes in patients with acute noncardioembolic stroke.
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Objective@#To investigate the correlation between meteorological factors and short-term outcomes in patients with acute noncardioembolic stroke.@*Methods@#Patients with acute noncardioembotic stroke admitted to the Department of Neurology, the Second Hospital of Tianjin Medical University from March 2009 to February 2012, were enrolled retrospectively. The modified Rankin Scale (mRS) scores were collected at discharge or 14 d after onset, and good outcome was defined as mRS 0-2 , poor outcome as mRS >2. The demographic, baseline clinical data, laboratory findings, and meteorological parameters on the day of onset were compared between the good outcome group and the poor outcome group. Multivariate logistic regression analysis was used to determine the independent risk factors of short-term outcomes.@*Results@#A total of 868 patients with acute noncardioembolic stroke were enrolled, including 535 (61.6%) with good outcome and 333 (38.4%) with poor outcome. Univariate analysis showed that age, baseline National Institutes of Health Stroke Scale score, systolic pressure, fasting blood glucose, daily average wind speed as well as the proportion of ischemic heart disease, history of stroke or transient ischemic attack, and moderate to severe stroke in the poor outcome group were significantly higher than those in the good outcome group; daily average temperature and daily average relative humidity in the poor outcome group were significantly lower than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that lower daily average temperature (odds ratio 0.978, 95% confidence interval 0.959-0.998; P=0.032) and higher daily average wind speed (odds ratio 1.442, 95% confidence interval 1.065-1.953; P=0.018) were independently correlated with the short-term outcomes.@*Conclusion@#Daily average temperature and daily average wind speed were significantly correlated with the short-term outcomes in patients with acute noncardioembolic stroke.
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Objective To provide more reference base for the prevention and treatment of acute cerebral infarction through the correlation study between the onset of acute cerebral infarction and meteorological factors during the same period in Dalian area.Methods From January 1,2015 to December 31,2015,the data of hospitalized medical records and meteorological data during the same period in 3 5 7 8 consecutive patients with acute cerebral infarction admitted to three tertiary hospitals in Dalian were analyzed retrospectively.The seasonal regularity of acute cerebral infarction in Dalian area was analyzed descriptively.A single retrospective 1 ∶ 1 matched case-crossover study design was used to analyze the effect of mean air temperature lag 0-3 days on the onset of acute cerebral infarction.Pearson correlation analysis was used to analyze the influence of meteorological factors of the day on the onset of acute cerebral infarction,at the same time,the relationship between stroke subtypes and meteorological factors was investigated.Results (1) The incidence of acute cerebral infarction was higher in winter (December,January,and February) and it was lower in summer (from June to August).(2) Hysteresis analysis:when the temperature was reduced by 1 ℃each time,the OR values of acute cerebral infarction lagging behind 0 and 1 d were 1.034 (95％ CI 1.012-1.056) and 1.025 (95％ CI 1.008-1.042) respectively.There was significant difference (all P ＜ 0.05).The correlation between the temperature of the day of onset and the onset of acute cerebral infarction was the highest.(3) The onset of cerebral infarction was negatively correlated with the average temperature of the day and hours of sunshine (r =-0.392,-0.260,all P ＜ 0.01),and it was positively correlated with the daily average air pressure (r =0.403,P ＜ 0.01).Among them,the correlation of the type of cardiogenic embolism and each meteorological factor was the highest.The correlation coefficients of daily average temperature,daily air pressure,and hours of sunshine were-0.836,0.733,and-0.629,respectively (all P ＜ 0.01).Conclusion A cold and high air pressure may trigger the onset of acute cerebral infarction,especially cardiogenic cerebral infarction.
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BACKGROUND: Health forecasting has been used in an attempt to provide timely and tailored meteorological information to patients and healthcare providers so that they might take appropriate actions to mitigate health risks and manage healthcare-related needs. This study examined the in-depth perceptions of healthcare providers and the general public regarding the utilization of meteorological information in the healthcare system in Korea. METHODS: The COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist was applied to this study. We conducted three focus group discussions in accordance with semi-structured guidelines developed to deal with various aspects of the utilization of meteorological information in healthcare settings. The verbatim transcriptions and field notes were analyzed according to content analysis. RESULTS: Six physicians, four nurses, three emergency medical technicians, and seven members of the general public participated in the focus group discussions. There were some individual discrepancies among most participants regarding the health effects of climate change. Although several physician participants felt that meteorological information utilization is not a prime concern during patient care, most of the general public participants believed that it should be used in the patient care process. The provision of meteorological information to patients undergoing care is expected to not only improve the effective management of climate-sensitive diseases, but also boost rapport between healthcare providers and patients. CONCLUSIONS: More attempts should be made to provide meteorological information to groups vulnerable to climate change, and the effects of this information should be evaluated in terms of effectiveness and inequality. The findings of this study will be helpful in countries and institutions trying to introduce health forecasting services. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40557-018-0214-3) contains supplementary material, which is available to authorized users.
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Humans , Checklist , Climate Change , Delivery of Health Care , Emergency Medical Technicians , Focus Groups , Forecasting , Health Personnel , Korea , Meteorological Concepts , Patient Care , Republic of Korea , Socioeconomic FactorsABSTRACT
Objective@#To explore the characteristics of acute otitis media(AOM) in children in Beijing and its correlation with meteorological factors.@*Methods@#Data were collected in 2011-2013 in the Otolaryngology Department of Capital Institute of Pediatrics. AOM in children with relevant information, such as age, sex and season, with the same period of the Beijing municipal meteorological data (the average temperature, average pressure, average wind speed, humidity and PM2.5) were compared to analysis the relationship of meteorological environmental parameters and the onset of AOM in children.@*Results@#Annual morbidity of AOM was 7 589, 8 245, 7 242 respectively, no obvious difference(P=0.761). It was noted that one peak could be seen in December, and a valley in February, followed by August. Summer was less than the other three seasons (P<0.05). The morbidity of AOM had a small peak within one year after birth, then reached peak at the age of about 4, and then reduced gradually. In different age groups, male patients were higher than those of female. The incidence of AOM was positively correlation tendency with air pressure and PM2.5 (r=0.333, 0.093, P=0.000, 0.002), which was negatively correlation tendency with daily temperature or humidity (r=-0.327, -0.195, P=0.000, 0.000).@*Conclusions@#The incidence of AOM of children in Beijing changes with age, and has obvious seasonal variation. There may be some correlation between the meteorological factors and the incidence of AOM in children.
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BACKGROUND AND OBJECTIVES: The objective of this study was to evaluate the effect of meteorological factors on the onset of vestibular neuritis. MATERIALS AND METHODS: Meteorological data from 2004 to 2009 were obtained from the web-based 'Monthly Weather Reports of the Meteorological Administration' database. Patients with vestibular neuritis who visited Incheon St. Mary's Hospital during this same period and presented the precise day on which the symptoms appeared were included in this study involving a retrospective chart review. Twelve meteorological factors were analyzed between the days when vestibular neuritis onset was observed and the days when vestibular neuritis did not occur. Time lags (D-1-D-7) which mean 1-7 days before the onset were included to assess a possible delayed meteorological effect in relation to the onset of vestibular neuritis. Seasonal incidence of vestibular neuritis and a relationship with seasonal patterns of weather parameters were evaluated. RESULTS: Mean values for the meteorological parameters of the days when vestibular neuritis occurred were not significantly different from the days on which vestibular neuritis onset was not observed. At time lag of 3-5 days, mean and maximal wind velocities were significantly higher for the days when vestibular neuritis occurred than the days without vestibular neuritis onset. The incidence of vestibular neuritis was highest in spring, when the wind velocity was higher compared to other seasons. CONCLUSION: Wind speed and the spring season showed significant relationships with vestibular neuritis occurrence.
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Humans , Incidence , Meteorological Concepts , Retrospective Studies , Seasons , Vestibular Neuronitis , Weather , WindABSTRACT
PURPOSE: Climate change affects human health and calls for health meteorological services. The purpose of this study is to find the significant predictors for the demands of the health meteorological information. METHODS: This study used a descriptive design through structured self-report questionnaires. Data from 956 participants who were at least 18 years old and living in Busan, Korea, were collected from June 1 to July 31, 2009. The data was analyzed using a decision tree method, one of the data mining techniques by SAS 9.1 and Enterprise Miner 4.3 program. RESULTS: Two hundred and ninety participants (30.3%) demanded the information, and 505 of them (52.8%) perceived the necessity of health meteorological information. From the decision tree method, the predictors related to the demands of the health meteorological information were determined as "the perception of the necessity of health meteorological information," "the coping to the weather warnings" and "the importance of the weather forecasting in daily life." In Particular, the significant different variables in the perception of the necessity of health meteorological information were "female," "aged over 40" and "environmental diseases." Thus, the model derived in this study is considered for explaining and predicting the demands of health meteorological information. CONCLUSIONS: It can be effectively used as a reference model for future studies and is a suggested direction in health meteorological information service and policy development. We suggest health forecasting as a nursing service and a primary health care network for healthier and more comfortable life.
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Humans , Climate Change , Data Mining , Decision Trees , Forecasting , Information Services , Korea , Meteorological Concepts , Nursing Services , Phenothiazines , Policy Making , Primary Health Care , Weather , Surveys and QuestionnairesABSTRACT
OBJECTIVES: Infectious diseases are known to be affected by climate change. We investigated if the infectious diseases were related to meteorological factors in Korea. METHODS: Scrub typhus, hemorrhagic fever with renal syndrome (HFRS), leptospirosis, malaria and Vibrio vulnificus sepsis among the National Notifiable Infectious Diseases were selected as the climate change-related infectious diseases. Temperature, relative humidity and precipitation were used as meteorological factors. The study period was from 2001 through 2008. We examined the seasonality of the diseases and those correlations with meteorological factors. We also analyzed the correlations between the incidences of the diseases during the outbreak periods and monthly meteorological factors in the hyper-endemic regions. RESULTS: All of the investigated diseases showed strong seasonality; malaria and V. vulnificus sepsis were prevalent in summer and scrub typhus, HFRS and leptospirosis were prevalent in the autumn. There were significant correlations between the monthly numbers of cases and all the meteorological factors for malaria and V. vulnificus sepsis, but there were no correlation for the other diseases. However, the incidence of scrub typhus in hyper-endemic region during the outbreak period was positively correlated with temperature and humidity during the summer. The incidences of HFRS and leptospirosis had positive correlations with precipitation in November and temperature and humidity in February, respectively. V. vulnificus sepsis showed positive correlations with precipitation in April/May/July. CONCLUSIONS: In Korea, the incidences of the infectious diseases were correlated with meteorological factors, and this implies that the incidences could be influenced by climate change.