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1.
Rev. Assoc. Med. Bras. (1992) ; 68(2): 165-169, Feb. 2022. tab
Article in English | LILACS | ID: biblio-1365335

ABSTRACT

SUMMARY OBJECTIVE: In this study, we evaluated the clinical characteristics and seasonal distribution of patients with primary spontaneous pneumothorax and examined the relationships between meteorological factors and pneumothorax development overall and in terms of first episode and recurrence. METHODS: The hospital records of 168 pneumothorax patients treated in our clinic between January 2016 and December 2020 were reviewed retrospectively. A cluster was defined as two or more patients with pneumothorax presenting within three consecutive days. Meteorological factors were compared between days with and without pneumothorax patients. This comparison was based on meteorological data from the day of symptom onset (D), the day before symptom onset (D1), and the difference between those days (D-D1). Meteorological data from the index day (D) were also compared between patients with first episode and recurrence of pneumothorax. RESULTS: The study included 149 (88.7%) men and 19 (11.3%) women. The mean age was 25.02±6.97 (range, 17-35; median, 26) years. Of note, 73 (43.4%) patients underwent surgery. The highest number of patients presented in November (n=19, 11.3%). In terms of season, most presentations occurred in autumn. Humidity was significantly lower on recurrence days compared with first episode (p=0.041). CONCLUSION: Our results indicated that meteorological factors (i.e., atmospheric pressure, humidity, wind speed, temperature, and precipitation) were not associated with pneumothorax development. By comparing the patients with first episode and recurrence, the humidity was significantly lower in the recurrence group.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Young Adult , Pneumothorax/etiology , Pneumothorax/epidemiology , Recurrence , Atmospheric Pressure , Weather , Retrospective Studies , Meteorological Concepts
2.
Article in English | WPRIM | ID: wpr-921342

ABSTRACT

Objective@#Previous studies have shown that meteorological factors may increase COVID-19 mortality, likely due to the increased transmission of the virus. However, this could also be related to an increased infection fatality rate (IFR). We investigated the association between meteorological factors (temperature, humidity, solar irradiance, pressure, wind, precipitation, cloud coverage) and IFR across Spanish provinces ( @*Methods@#We estimated IFR as excess deaths (the gap between observed and expected deaths, considering COVID-19-unrelated deaths prevented by lockdown measures) divided by the number of infections (SARS-CoV-2 seropositive individuals plus excess deaths) and conducted Spearman correlations between meteorological factors and IFR across the provinces.@*Results@#We estimated 2,418,250 infections and 43,237 deaths. The IFR was 0.03% in < 50-year-old, 0.22% in 50-59-year-old, 0.9% in 60-69-year-old, 3.3% in 70-79-year-old, 12.6% in 80-89-year-old, and 26.5% in ≥ 90-year-old. We did not find statistically significant relationships between meteorological factors and adjusted IFR. However, we found strong relationships between low temperature and unadjusted IFR, likely due to Spain's colder provinces' aging population.@*Conclusion@#The association between meteorological factors and adjusted COVID-19 IFR is unclear. Neglecting age differences or ignoring COVID-19-unrelated deaths may severely bias COVID-19 epidemiological analyses.


Subject(s)
Adult , Aged , Aged, 80 and over , COVID-19/virology , Humans , Meteorological Concepts , Middle Aged , Pandemics/statistics & numerical data , SARS-CoV-2/physiology , Spain/epidemiology , Weather , Young Adult
3.
Biosci. j. (Online) ; 36(3): 1008-1017, 01-05-2020.
Article in English | LILACS | ID: biblio-1147191

ABSTRACT

This study evaluated the space-time variability of fire foci via environmental satellites for the State of Rio de Janeiro (SRJ) based on statistical procedures. The fire foci in the period of 2000 to 2015 were obtained from the BDQueimadas fire database. Descriptive, exploratory, and multivariate statistical analyses were performed in the software environment R i386 version 3.2.5. The north region had 6760 foci (21.11%), the south-central region had 3020 foci (9.43%), the Middle Paraíba had 6,352 foci (19.84%), the Metropolitan areas had 6671 foci (20.83%), and the Green Coast region had 292 foci (0.91%). The cluster analysis identified three homogeneous groups of fire foci (G1, G2, and G3) but did not include the municipality of Campos dos Goytacazes (NA). The G1 group (6.21 ± 0.01 foci, 57.61%) included areas throughout the state and covered the coastal region and lowlands towards the north. The G2 group (6.21 ± 0.01 foci, 34.81%) included the northern, south-central, and coastal shallows regions. The G3 group (6.21 ± 0.01 foci, 9.78%) included the mountain ranges of the state. Environmental characteristics and socioeconomic are crucial in the dynamics of fire foci in Rio de Janeiro.


Este estudo avaliou a variabilidade espaço-temporal de focos de calor via satélites ambientais para o Estado do Rio de Janeiro (SRJ) com base em procedimentos estatísticos. Os focos de calor no período de 2000 a 2015 foram obtidos a partir do banco de dados de focos do BDQueimadas. Análises estatísticas descritivas, exploratórias e multivariadas foram realizadas no ambiente de software R i386 versão 3.2.5. A região Norte tinha 6760 focos (21,11%), a região Centro-Sul tinha 3020 focos (9,43%), o Médio Paraíba tinha 6,352 focos (19,84%), as áreas metropolitanas tinham 6671 focos (20,83%) e a Costa Verde região teve 292 focos (0,91%). A análise de agrupamento identificou três grupos homogêneos de focos de calor (G1, G2 e G3), mas não incluiu o município de Campos dos Goytacazes (NA). Em que se observa no grupo G1 uma forte presença de outliers com valores atípicos, em todos os anos da série temporal, sendo destaque para os anos de 2014 e 2015 que apresentam os maiores números de outliers seguidos dos valores das médias (20.46 e 18.85 focos) acima das medianas (14.00 e 12.50 focos). Comportamentos semelhantes foram observados nos grupos G2 e G3, sendo o grupo G2 com média (81.43 mm e 66.00 focos) e medianas (49.07 e 35.50 focos) com um DP de 27.89 focos de fogo. O grupo G3 com média (314.13 e 361.33 mm) e mediana (204.50 e 76.00 focos) e o maior DP (196,75 focos) em comparação aos demais grupos. Características ambientais e socioeconômicas são cruciais na dinâmica dos focos de calor no Rio de Janeiro.


Subject(s)
Spacecraft , Wildfires , Meteorological Concepts
4.
Arq. Inst. Biol ; 86: e0682018, 2019. tab, graf
Article in English | LILACS, VETINDEX | ID: biblio-1046002

ABSTRACT

Fruit flies are the biggest obstacle in guava cultivation, with the monitoring of population a fundamental aspect for their management. The objective of this study was to assess the effectiveness of attractive lures for fruit flies in guava trees, produced in an organic system. McPhail traps were installed with 400 mL of solution, in four repetitions, and distributed in randomized blocks in six treatments: Isca Mosca® (5%); Isca Samaritá Tradicional® (5%); Torula® yeast; Bio Anastrepha® (5%); Ceratrap® and guava juice (50%), with 3 weekly reviews. Data on capture were subjected to analysis of variance, and averages were compared (Tukey 5%). The values of fly trap per day (FTD) were computed. The correlation between flies and meteorological variables were evaluated, as well as the monthly cost of lures. A total of 37,917 individuals from the genus Anastrepha and 122 species of flies Ceratitis capitata were collected, being Anastrepha spp. the main genus of fruit fly in the region. The Ceratrap product proved to be superior, followed by Torula, Isca Mosca, and Bio Anastrepha; Isca Samaritá and guava juice presented the lowest results. The standard trapping of females was like the total. The uniformity of attraction presented a drop in all treatments, and Ceratrap was more constant after seven days. The correlations between meteorological factors and population variation were positive and significant only for precipitation. The most expensive treatments (Ceratrap and Torula) were also the most efficient and selective, and the Ceratrap product required less manpower.(AU)


A presença de mosca-das-frutas é o maior obstáculo à produção de goiabas, sendo o monitoramento populacional de fundamental importância para seu manejo. O objetivo deste trabalho foi avaliar a eficácia de iscas atrativas para mosca-das-frutas em goiabeiras, produzidas em um sistema orgânico. Foram instaladas armadilhas McPhail contendo 400 mL de solução, em quatro repetições e distribuição em blocos randomizados, em seis tratamentos: isca Mosca® (5%); isca Samaritá Tradicional® (5%); levedura Torula®; Bio Anastrepha® (5%); Ceratrap® e suco de goiaba (50%), com 3 avaliações semanais. Os dados da captura foram submetidos à análise de variância e às médias comparadas (Tukey 5%). Os valores de Mosca por Armadilha por Dia (MAD) foram calculados. A correlação entre moscas e as variáveis meteorológicas foi avaliada e o custo mensal das iscas foi calculado. Foram coletados 37.917 indivíduos do gênero Anastrepha e 122 moscas da espécie Ceratitis capitata, sendo a Anastrepha spp. o principal gênero de mosca-das-frutas da região. O produto Ceratrap mostrou-se superior, seguido pelas iscas Torula, Isca Mosca e Bio Anastrepha; a Isca Samaritá e o suco de goiaba apresentaram os menores resultados de captura. O padrão de captura de fêmeas foi semelhante ao total. Verificou-se uma queda na uniformidade de atração de todos os tratamentos, sendo o Ceratrap o que apresentou maior constância após sete dias. As correlações entre os fatores meteorológicos e a flutuação populacional foram positivas e significativas apenas para a precipitação. Os tratamentos mais onerosos (Ceratrap e Torula) também foram os mais eficientes e seletivos, sendo o produto Ceratrap o que demandou menor mão de obra.(AU)


Subject(s)
Tephritidae , Psidium , Pest Control , Meteorological Concepts
5.
Article in English | WPRIM | ID: wpr-766128

ABSTRACT

OBJECTIVES: Many studies have explored the relationship between short-term weather and its health effects (including pneumonia) based on mortality, although both morbidity and mortality pose a substantial burden. In this study, the authors aimed to describe the influence of meteorological factors on the number of emergency room (ER) visits due to pneumonia in Seoul, Korea. METHODS: Daily records of ER visits for pneumonia over a 6-year period (2009-2014) were collected from the National Emergency Department Information System. Corresponding meteorological data were obtained from the National Climate Data Service System. A generalized additive model was used to analyze the effects. The percent change in the relative risk of certain meteorological variables, including pneumonia temperature (defined as the change in average temperature from one day to the next), were estimated for specific age groups. RESULTS: A total of 217 776 ER visits for pneumonia were identified. The additional risk associated with a 1°C increase in pneumonia temperature above the threshold of 6°C was 1.89 (95% confidence interval [CI], 1.37 to 2.61). Average temperature and diurnal temperature range, representing within-day temperature variance, showed protective effects of 0.07 (95% CI, 0.92 to 0.93) and 0.04 (95% CI, 0.94 to 0.98), respectively. However, in the elderly (65+ years), the effect of pneumonia temperature was inconclusive, and the directionality of the effects of average temperature and diurnal temperature range differed. CONCLUSIONS: The term ‘pneumonia temperature’ is valid. Pneumonia temperature was associated with an increased risk of ER visits for pneumonia, while warm average temperatures and large diurnal temperature ranges showed protective effects.


Subject(s)
Aged , Climate , Emergencies , Emergency Service, Hospital , Humans , Information Systems , Korea , Meteorological Concepts , Mortality , Pneumonia , Public Health , Seoul , Weather
6.
Article in Korean | WPRIM | ID: wpr-787493

ABSTRACT

BACKGROUND: This study investigated the effect of fine dust concentrations in the air on the incidence of viral respiratory infections in the Republic of Korea.METHODS: A time series analysis using R statistics was performed to determine the relationship between weekly concentrations of fine dust in the air and the incidences of acute respiratory tract infections caused by the respiratory syncytial virus (RSV), adenovirus (HAdV), rhinovirus (HRV), human metapneumovirus (HMPV), human coronavirus (HCoV), human bocavirus (HBoV), human parainfluenza virus (HPIV), and influenza virus (IFV), from the beginning of 2016 to the end of 2017. Correlations between various meteorological factors and the amount of fine dust were analyzed using the Spearman's rank correlation coefficient. To analyze the relationship between viral infections and fine dust, a quasi-poisson analysis was performed.RESULTS: The incidence of the HAdV was proportional to fine dust and air temperature. The IFV was proportional to fine dust and relative humidity and was inversely proportional to temperature. The HMPV was proportional to fine dust, wind speed, and inversely proportional to relative humidity. The HCoV was proportional to micro dust, relative humidity, and inversely proportional to temperature. Both the HBoV and HPIV were directly proportional to fine dust, temperature, wind speed, and inversely proportional to relative humidity. The RSV was inversely proportional to fine dust, temperature, wind speed. A lag effect was observed for the influenza virus, in that its incidence increased 2–3 weeks later on the cumulative lag model.CONCLUSION: As the weekly average concentration of fine dust increases, the incidence of HAdV, HMPV, HCoV, HBoV, HPIV, and influenza increase.


Subject(s)
Adenoviridae , Air Pollution , Coronavirus , Dust , Human bocavirus , Humans , Humidity , Incidence , Influenza, Human , Metapneumovirus , Meteorological Concepts , Orthomyxoviridae , Paramyxoviridae Infections , Particulate Matter , Republic of Korea , Respiration Disorders , Respiratory Syncytial Viruses , Respiratory Tract Infections , Rhinovirus , Wind
7.
Biosci. j. (Online) ; 34(4): 1010-1016, july/aug. 2018. tab, ilus, graf
Article in English | LILACS | ID: biblio-967194

ABSTRACT

Dengue is one of the biggest problems of global public health in developing and underdeveloped countries. Nowadays, researchers in climate changes are concerned about the impact of these changes on human health, particularly with increased this epidemic. Dengue is among the largest public health problems in Brazil and is higher in the months with high temperatures, which is the Aedes aegypti's reproductive period climax. Reported dengue cases via DATASUS from 1994 to 2014 were analyzed. Mann-Kendall (MK), Run and Pettit nonparametric tests; were applied to time series. The run test indicated that the time series is homogenous and persistence free. There is a non-significant trend of increase of a number of reported dengue cases only in Rio de Janeiro. Based on the test, three positive trends were identified in the time series of São Paulo, Minas Gerais and the Espírito Santo States of dengue cases reported in Southeast of Brazil. Pettitt test was able to identify the years classified as El Niño events and that had a significant impact on the increase of dengue cases in the southeastern region of Brazil.


A dengue é um dos maiores problemas de saúde pública global em países em desenvolvimento e subdesenvolvidos. Hoje em dia, os pesquisadores em mudanças climáticas estão preocupados com o impacto dessas mudanças na saúde humana, particularmente com o aumento dessa epidemia. A dengue está entre os maiores problemas de saúde pública no Brasil e é maior nos meses com altas temperaturas, que é o clímax do período reprodutivo do Aedes Aegypti. Foram analisados relatórios de casos de dengue via DATASUS de 1994 a 2014. Testes não paramétricos de Mann-Kendall (MK), Run e Pettit; foram aplicadas em séries temporais. O teste Run indicou que a série temporal é homogênea e sem persistência. Existe uma tendência não significativa de aumento do número de casos de dengue relatados apenas no Rio de Janeiro. Com base no teste, três tendências positivas foram identificadas na série temporal de casos de dengue de São Paulo, Minas Gerais e Espírito Santo relatados no Sudeste do Brasil. O teste de Pettitt foi capaz de identificar os anos classificados como eventos de El Niño e que tiveram um impacto significativo no aumento de casos de dengue na região sudeste do Brasil.


Subject(s)
Climate Change , Public Health , Communicable Diseases , Dengue , Meteorological Concepts , Statistics as Topic
8.
Article in Korean | WPRIM | ID: wpr-716694

ABSTRACT

Weather may alter the concentrations of pollens which can subsequently influence the occurrence of allergic diseases. Many studies have demonstrated that greenhouse gases increase pollen concentration. Daily fluctuations in the pollen concentration have to do with a variety of meteorological factors such as temperature, rainfall and sunshine amount; therefore, it is complicated. At least more than 10 weather elements that affect the concentration of pollen. Earlier pollination and rising pollen concentrations have been reported in many countries. Most studies have focused on analysis of their relationships with local meteorological and climatic factors. Observed pollen data at locations representing a wide range of geographic and climatic conditions should be analyzed statistically to identify pollination date, pollen season length, and annual mean and peak values of daily concentrations of pollen. The seasonal and regional variations of pollen have also been changed in South Korea with climate change. There were evaluated sensitization rate to pollen in South Korea since 1997. Sensitization rates for weed and tree pollens are increased in Korean children, especially with increasing pollen concentration of ragweed and Japanese hop. It has been demonstrated that urbanization correlate with the increasing pollen allergies. However, the effects of environmental change on allergic diseases have not yet been completely understood. Recently there have been many epidemiological studies on the relationship between allergic diseases and climate changes. Previous studies suggest that climate changes interact with and affect pollen allergy, which in turn increases the frequency and severity of allergic disease.


Subject(s)
Ambrosia , Asians , Child , Climate Change , Climate , Epidemiologic Studies , Gases , Humans , Korea , Meteorological Concepts , Pollen , Pollination , Rhinitis, Allergic, Seasonal , Seasons , Sunlight , Trees , Urbanization , Weather
9.
Article in Korean | WPRIM | ID: wpr-716016

ABSTRACT

PURPOSE: Respiratory syncytial virus (RSV) is the major cause of acute lower respiratory tract infection (LRTI) in infants and children. We investigated the association of meteorological conditions and air pollution with the prevalence of RSV infection. METHODS: Between January 2005 and December 2012, a total of 9,113 nasopharyngeal swab specimens from children under 3 years of age who were admitted to the hospital with acute LRTI were tested for RSV antigens using a direct immunofluorescence kit. Meteorological data (mean temperature, precipitation, wind speed, and relative humidity) and air pollutant levels including PM₁₀ (particulate matter with a median aerodynamic diameter less than or equal to 10 µm in diameter), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), and carbon monoxide (CO) in Seoul during the study period were collected from the national monitoring system. The correlations of the monthly incidence of RSV infection with climate factors and air pollutant levels were analyzed. RESULTS: RSV infection mainly occurred between October and February, and showed the peak in November. The prevalence of RSV infection had a moderate negative correlation with mean temperature (r=−0.60, P < 0.001), a weak negative correlation with relative humidity (r=−0.26, P=0.01), and precipitation (r=−0.34, P=0.001). Regarding air pollutants, RSV activity moderately correlated with NO₂ (r=0.40, P < 0.001), SO₂ (r=0.41, P < 0.001), and CO (r=0.58, P < 0.001). In the RSV peak season in Korea (between October and February), RSV epidemics showed a weak positive correlation with relative humidity (r=0.35, P=0.03) and precipitation (r=0.38, P=0.02). CONCLUSION: Meteorological factors and air pollutant levels may be associated with RSV activity. Therefore, further nationwide large-scaled intensive evaluations to prove factors affecting RSV activity are warranted.


Subject(s)
Air Pollutants , Air Pollution , Carbon Monoxide , Child , Climate , Fluorescent Antibody Technique, Direct , Humans , Humidity , Incidence , Infant , Korea , Meteorological Concepts , Nitrogen Dioxide , Prevalence , Respiratory Syncytial Viruses , Respiratory Tract Infections , Seasons , Seoul , Sulfur Dioxide , Wind
10.
Article in English | WPRIM | ID: wpr-762538

ABSTRACT

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.


Subject(s)
Checklist , Climate Change , Delivery of Health Care , Emergency Medical Technicians , Focus Groups , Forecasting , Health Personnel , Humans , Korea , Meteorological Concepts , Patient Care , Republic of Korea , Socioeconomic Factors
11.
Article in English | WPRIM | ID: wpr-728816

ABSTRACT

PURPOSE: Febrile seizure (FS) is the most common type of seizure in children between 6 months to 5 years of age. A family history of febrile seizures can increase the risk a child will have a FS. Yet, prevalence of FS regarding external environment has not been clearly proved. This study attempts to determine the association between prevalence of FS and weather. METHODS: This study included medical records from the Korea National Health Insurance Review and Assessment Service. Data were collected from 29,240 children, born after 2004, diagnosed with FS who were admitted to one of the hospitals in Seoul, Korea, between January 2009 and December 2013. During the corresponding time period, data from the Korea Meteorological Administration on daily monitoring of four meteorological factors (sea-level pressure, amount of precipitation, humidity and temperature) were collected. The relationships of FS prevalence and each meteorological factor will be designed using Poisson generalized additive model (GAM). Also, the contributory effect of viral infections on FS prevalence and weather will be discussed. RESULTS: The amount of precipitation was divided into two groups for comparison: one with less than 5 mm and the other with equal to or more than 5 mm. As a result of Poisson GAM, higher prevalence of FS showed a correlation with smaller amount of precipitation. Smoothing function was used to classify the relationships between three variables (sea-level pressure, humidity, and temperature) and prevalence of FS. FS prevalence was correlated with lower sea-level pressure and lower humidity. FS prevalence was high in two temperature ranges (-7 to -1℃ and 18–21℃). CONCLUSION: Low sea-level pressure, small amount of precipitation, and low relative air humidity may increase FS prevalence risk.


Subject(s)
Child , Fever , Humans , Humidity , Korea , Medical Records , Meteorological Concepts , National Health Programs , Prevalence , Seizures , Seizures, Febrile , Seoul , Weather
12.
Rev. Assoc. Med. Bras. (1992) ; 63(11): 957-961, Nov. 2017. tab, graf
Article in English | LILACS | ID: biblio-896318

ABSTRACT

Summary Introduction: Global climate changes directly affect the natural environment and contribute to an increase in the transmission of diseases by vectors. Among these diseases, dengue is at the top of the list. The aim of our study was to understand the consequences of temporal variability of air temperature in the occurrence of dengue in an area comprising seven municipalities of the Greater São Paulo. Method: Characterization of a temporal trend of the disease in the region between 2010 and 2013 was performed through analysis of the notified number of dengue cases over this period. Our analysis was complemented with meteorological (temperature) and pollutant concentration data (PM10). Results: We observed that the months of January, February, March, April and May (from 2010 to 2013) were the ones with the highest number of notified cases. We also found that there is a statistical association of moisture and PM10 with the reported cases of dengue. Conclusion: Although the temperature does not statistically display an association with recorded cases of dengue, we were able to verify that temperature peaks coincide with dengue outbreak peaks. Future studies on environmental pollution and its influence on the development of Aedes aegypti mosquito during all stages of its life cycle, and the definition of strategies for better monitoring, including campaigns and surveillance, would be compelling.


Resumo Objetivo: As alterações globais que têm ocorrido interferem no ambiente natural, influenciando diretamente no crescimento da transmissão de doenças ocasionadas por vetores, das quais se destaca a dengue. O objetivo deste estudo foi compreender as consequências da variabilidade temporal das condições climáticas em relação à ocorrência de dengue na população da região metropolitana de São Paulo, constituída por sete municípios. Método: A caracterização da tendência temporal da dengue foi realizada por meio da análise dos números de casos de dengue notificados nos anos de 2010 a 2013, de dados meteorológicos (umidade e temperatura) e dados de concentração de poluentes (PM10). Resultados: Observou-se que os meses de janeiro a abril (de 2010 a 2013) foram os que apresentaram maior número de casos notificados de dengue, com associação estatística entre a umidade e PM10 com os casos de dengue notificados. Conclusão: Embora a temperatura não assuma, estatisticamente, uma associação com os casos de dengue registrados, foi possível verificar que os picos de temperatura coincidem com os picos epidêmicos de dengue. Seriam interessantes futuros estudos referentes à poluição ambiental e a sua influência no desenvolvimento do mosquito Aedes aegypti em todas as suas fases do ciclo de vida e definição de estratégias para melhor monitoração, campanhas e vigilância.


Subject(s)
Humans , Animals , Dengue/epidemiology , Insect Vectors/growth & development , Urban Population , Brazil/epidemiology , Incidence , Cross-Sectional Studies , Cities/epidemiology , Aedes , Dengue/transmission , Dengue Virus/isolation & purification , Air Pollution , Insect Vectors/virology , Meteorological Concepts
13.
Biomédica (Bogotá) ; 37(supl.2): 106-123, jul.-set. 2017. tab, graf
Article in Spanish | LILACS | ID: biblio-888530

ABSTRACT

Resumen Introducción. Ante el desconocimiento del contexto espacio-temporal de las condiciones biofísicas (hidrometereológicas y de densidad de la cobertura vegetal) de las zonas con presencia deTriatoma dimidiata en Santander y Boyacá, es necesario dilucidar los patrones asociados con estas variables para determinar su distribución y control. Objetivo. Hacer el análisis espacio-temporal de las variables biofísicas relacionadas con la distribución de Triatoma dimidiata de los departamentos de Santander y Boyacá en la región nororiental de Colombia. Materiales y métodos. Se utilizaron las bases de datos de los registros de presencia de T. dimidiata y de factores hidrometereológicos del Special Report on Emissions Scenarios (SrES) del Intergovernmental Panel on Climate Change, IPCC. Se estudiaron las variables de temperatura, humedad relativa, pluviosidad y densidad de la cobertura vegetal a nivel regional y local, se hizo el análisis espacial y el geoestadfstico, asf como el análisis estadfstico descriptivo y temporal de las series de Fourier. Resultados. En las áreas con mayor presencia de T. dimidiata, las temperaturas a dos metros del suelo y en suelo cubierto oscilaron entre 14,5 y 18,8 °C, y la temperatura ambiente fue de 30 a 32 °C. La densidad de la cobertura vegetal y la pluviosidad en las áreas de mayor presencia de T. dimidiata exhibieron patrones de picos anuales y bienales. Los valores de la humedad relativa fluctuaron entre 66,8 y 85,1 %. Conclusiones. Las temperaturas a nivel de superficie y a dos metros del suelo fueron las variables determinantes de la distribución espacio-temporal de T. dimidiata. La elevada humedad relativa incentivó la búsqueda de refugios e incrementó la distribución geográfica en los picos anual y bienal de pluviosidad a nivel regional. Las condiciones ecológicas y antrópicas sugieren que T. dimidiata es una especie de gran resiliencia.


Abstract Introduction: Due to the lack of information regarding biophysical and spatio-temporal conditions (hydrometheorologic and vegetal coverage density) in areas with Triatoma dimidiata in the Colombian departments of Santander and Boyacá, there is a need to elucidate the association patterns of these variables to determine the distribution and control of this species. Objective: To make a spatio-temporal analysis of biophysical variables related to the distribution of T. dimidiate observed in the northeast region of Colombia. Materials and methods: We used the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC SRES) data bases registering vector presence and hydrometheorologic data. We studied the variables of environmental temperature, relative humidity, rainfall and vegetal coverage density at regional and local levels, and we conducted spatial geostatistic, descriptive statistical and Fourier temporal series analyses. Results: Temperatures two meters above the ground and on covered surface ranged from 14,5°C to 18,8°C in the areas with the higher density of T. dimidiata. The environmental temperature fluctuated between 30 and 32°C. Vegetal coverage density and rainfall showed patterns of annual and biannual peaks. Relative humidity values fluctuated from 66,8 to 85,1%. Conclusions: Surface temperature and soil coverage were the variables that better explained the life cycle of T. dimidiata in the area. High relative humidity promoted the seek of shelters and an increase of the geographic distribution in the annual and biannual peaks of regional rainfall. The ecologic and anthropic conditions suggest that T. dimidiata is a highly resilient species.


Subject(s)
Animals , Triatoma/physiology , Insect Vectors/physiology , Seasons , Triatoma/parasitology , Chagas Disease/transmission , Chagas Disease/epidemiology , Colombia/epidemiology , Ecology , Spatio-Temporal Analysis , Animal Distribution , Geography, Medical , Insect Vectors/parasitology , Meteorological Concepts
14.
Rev. bras. psiquiatr ; 39(3): 220-227, July-Sept. 2017. tab, graf
Article in English | LILACS | ID: biblio-899352

ABSTRACT

Objective: Considering the scarcity of reports from intertropical latitudes and the Southern Hemisphere, we aimed to examine the association between meteorological factors and suicide in São Paulo. Method: Weekly suicide records stratified by sex were gathered. Weekly averages for minimum, mean, and maximum temperature (°C), insolation (hours), irradiation (MJ/m2), relative humidity (%), atmospheric pressure (mmHg), and rainfall (mm) were computed. The time structures of explanatory variables were modeled by polynomial distributed lag applied to the generalized additive model. The model controlled for long-term trends and selected meteorological factors. Results: The total number of suicides was 6,600 (5,073 for men), an average of 6.7 suicides per week (8.7 for men and 2.0 for women). For overall suicides and among men, effects were predominantly acute and statistically significant only at lag 0. Weekly average minimum temperature had the greatest effect on suicide; there was a 2.28% increase (95%CI 0.90-3.69) in total suicides and a 2.37% increase (95%CI 0.82-3.96) among male suicides with each 1 °C increase. Conclusion: This study suggests that an increase in weekly average minimum temperature has a short-term effect on suicide in São Paulo.


Subject(s)
Humans , Male , Female , Suicide/statistics & numerical data , Tropical Climate , Cities/epidemiology , Meteorological Concepts , Temperature , Brazil/epidemiology , Linear Models , Sex Distribution
15.
Rev. Soc. Bras. Med. Trop ; 50(3): 309-314, May-June 2017. tab, graf
Article in English | LILACS | ID: biblio-896981

ABSTRACT

Abstract INTRODUCTION: Meteorological influences along with the lack of basic sanitation has contributed to disease outbreaks, resulting in large socio-economic losses, especially in terms of dengue. This study aimed to evaluate the meteorological influences on the monthly incidence of dengue in Arapiraca-AL, Brazil during 2008-2015. METHODS: We used generalized linear models constructed via logistic regression to assess the association between the monthly incidence of dengue (MID) of and 8 meteorological variables [rainfall (R), air temperature (AT), dew point temperature (DPT), relative humidity (RH), pressure surface, wind speed (WS), wind direction (WD), and gust], based on data obtained from DATASUS and meteorological station databases, respectively. The dengue-1 model included R, AT, DPT, and RH and the dengue-2 model included AT, DPT, RH, WS, and WD. A MID >100 (classified as moderate incidence) indicated an abnormal month. RESULTS: Based on the dengue-1 model, variables with the highest odds ratio included R-lag1, DPT-lag1, and AT-lag1 with a 10.1, 18.3, and 26.7 times greater probability of a moderate MID, respectively. Based on the dengue-2 model, variables with the highest odds ratio were AT-lag1 and RH-lag0 indicating an 8.9 and 18.1 times greater probability of a moderate MID, respectively. CONCLUSIONS: AT, DPT, R, RH and WS influenced the occurrence of a moderate MID.


Subject(s)
Humans , Dengue/epidemiology , Meteorological Concepts , Seasons , Brazil/epidemiology , Linear Models , Incidence
16.
Article in English | WPRIM | ID: wpr-182392

ABSTRACT

Seasonal variation in urinary stone presentation is well described in the literature. However, previous studies have some limitations. To explore overall cumulative exposure-response and the heterogeneity in the relationships between daily meteorological factors and urolithiasis incidence in 6 major Korean cities, we analyzed data on 687,833 urolithiasis patients from 2009 to 2013 for 6 large cities in Korea: Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan. Using a time-series design and distributing lag nonlinear methods, we estimated the relative risk (RR) of mean daily urolithiasis incidence (MDUI) associated with mean daily meteorological factors, including the cumulative RR for a 20-day period. The estimated location-specific associations were then pooled using multivariate meta-regression models. A positive association was confirmed between MDUI and mean daily temperature (MDT), and a negative association was shown between MDUI and mean daily relative humidity (MDRH) in all cities. The lag effect was within 5 days. The multivariate Cochran Q test for heterogeneity at MDT was 12.35 (P = 0.136), and the related I2 statistic accounted for 35.2% of the variability. Additionally, the Cochran Q test for heterogeneity and I2 statistic at MDHR were 26.73 (P value = 0.148) and 24.7% of variability in the total group. Association was confirmed between daily temperature, relative humidity and urolithiasis incidence, and the differences in urolithiasis incidence might have been partially attributable to the different frequencies and the ranges in temperature and humidity between cities in Korea.


Subject(s)
Humans , Humidity , Incidence , Korea , Meteorological Concepts , Population Characteristics , Seasons , Seoul , Urinary Calculi , Urolithiasis
17.
Article in Korean | WPRIM | ID: wpr-222540

ABSTRACT

PURPOSE: This study aimed to explore the association between increased level of ambient particulate matter and emergency room visits for chronic obstructive pulmonary disease (COPD) exacerbations. METHODS: A retrospective study was conducted. We enrolled patients who lived in Seoul, Korea and were diagnosed with COPD in the emergency room between January 2012 and December 2014. Meteorological factors [daily highest temperature, lowest temperature, mean temperature, diurnal temperature, rainfall, relative humidity, amount of sunshine and particulate matter less than 10 µm (PM 10)] between December 2011 and December 2014 in Seoul were acquired from the Korea Meteorological Administration. We used a multiple Poisson regression model with daily patient's number of COPD as a response variable and meteorological factors as explanatory variable. Variable selection was done via an Elastic net. RESULTS: There was a total of 1,179 emergency visits for acute exacerbations of COPD patients. PM10 (before 4, 10, 11, 15, 16, 17, 22, 24, 27, 28 day), rainfall (before 1, 6, 8, 16, 18 day), relative humidity (before 2, 8), and daily temperature difference (5, 10, 15 day) had a relationship and a lag effect with COPD exacerbations. CONCLUSION: This study showed that an increased concentration of PM10 was associated with COPD exacerbations. A future study that reinforces the limitation of this study is necessary to get a helpful index for an adequate response of medical institution and efficient placement of medical personnel.


Subject(s)
Emergencies , Emergency Service, Hospital , Humans , Humidity , Korea , Lung Diseases , Meteorological Concepts , Particulate Matter , Pulmonary Disease, Chronic Obstructive , Regression Analysis , Retrospective Studies , Seoul , Sunlight
18.
Biosci. j. (Online) ; 32(1): 123-131, jan./fev. 2016. tab
Article in English | LILACS | ID: biblio-965263

ABSTRACT

Estimating daily solar radiation (Rs) provides an important alternative in situations where it cannot be measured by conventional pyranometers. This study used meteorological data from nine cities in the north of the Minas Gerais state, Brazil, for the period from 2008 to 2010 with the aim of evaluate the accuracy and applicability of some simple models to help regions where Rs is impossible to be measured. Five models were evaluated for their estimates of Rs based on simple available data. For each city studied, the equations were previously calibrated. Meteorologically based empirical models to estimate daily global solar radiation are an appropriate tool if the parameters can be calibrated for different locations. These models have the advantage of using meteorological data, which are commonly available. Based on the overall results, we conclude that the accuracy of estimation by available meteorological data is acceptable and comparable with the accuracy of classical models. Considering the greater availability of air temperature data and application in studies that do not require great accuracy in estimating Rs, all models were adequate for use. The accuracy of Rs was only slightly improved by adding rainfall records as input variable. Therefore, in the region studied, the choice of simpler models, having as input the daily maximum and minimum air temperature would not imply large error in the estimates. For most sites, Bristow and Campbell model had the best estimate of Rs with a RMSE of 2.69 MJ m-2 and R2= 0.69, with the possibility to calibrate with available temperature data, becoming a practical and reliable model. Hargraves model should be avoided due to its lower performance compared to the other models applied.


A estimativa da radiação solar diária (Rs) fornece uma alternativa importante em situações que não pode ser medida por piranômetros convencionais. O estudo utilizou dados meteorológicos de nove cidades do Norte do estado de Minas Gerais, Brasil, durante o período de 2008 a 2010, com o objetivo de mensurar a precisão e aplicabilidade de modelos empíricos simples nas regiões onde a Rs não pode ser medida . Cinco modelos foram avaliados para estimar Rs com base nos dados meteorológicos disponíveis. As equações foram previamente calibradas para cada município estudado. Modelos meteorológicos empíricos que estimam a radiação solar diária são ferramentas adequadas desde que os parâmetros sejam calibrados para os diferentes locais a serem utilizados. Estes modelos têm a vantagem de utilizar dados meteorológicos, que estão comumente disponíveis. Todos os modelos foram considerados adequados para o uso, considerando-se a maior disponibilidade de dados de temperatura do ar e aplicação em estudos que não exigem grande precisão na estimativa da Rs. A precisão da Rs apenas foi melhorada pela adição de registros de precipitação como variável de entrada. Assim, na região estudada, a escolha de um modelo mais simples, tendo como entrada a temperatura mínima e máxima do ar diária, não implica um grande erro na estimativa. Para a maioria das regiões, o modelo de Bristow e Campbell teve a melhor estimativa da Rs com um RMSE de 2.69 MJ m-2 e R2= 0.69, e a possibilidade de calibração com os dados de temperatura disponíveis, tornando-se um modelo prático e confiável. O modelo de Hargraves deve ser evitado devido seu pior desempenho comparado aos outros modelos propostos.


Subject(s)
Temperature , Solar Radiation , Meteorological Concepts
19.
Article in Korean | WPRIM | ID: wpr-98048

ABSTRACT

PURPOSE: This study shows the relationship between meteorological factors and the number of community acquired pneumonia (CAP) patients in the emergency room and lag effect of meteorological factors affecting CAP. METHODS: A retrospective study was conducted. Patients diagnosed with CAP in the emergency room between January 2012 and December 2014 were enrolled. The patients were over 18 years old and lived in Seoul, Korea. Meteorological factors (highest daily temperature, lowest temperature, mean temperature, diurnal temperature, rainfall, relative humidity, amount of sunshine, and powdery dust under 10 microg/m3 (PM10)) between December 2011 and December 2014 in Seoul were acquired from the Korea Meteorological Administration. Multiple Poisson regression (Generalized Linear Model) was used with daily patient's number of CAP as the response variable and meteorological factors as the explanatory variable. Variable selection was performed via Elastic net. RESULTS: A total of 568 CAP patients were checked. Highest temperature (before 6 days), rainfall (before 1 day), relative humidity (before 20, 15, 13, 6, 2, and 1 days), and PM10 (before 27, 24, 17, and 13 days) showed relationship and lag effect with the incidence of CAP. CONCLUSION: This study showed that meteorological factors (highest temperature, rainfall, relative humidity, and PM10) had relationship and lag effect with the incidence of CAP. We can make a prediction model with health weather index for prevention of CAP and redistribution of medical facilities and resources.


Subject(s)
Dust , Emergency Service, Hospital , Humans , Humidity , Incidence , Korea , Meteorological Concepts , Pneumonia , Regression Analysis , Retrospective Studies , Seoul , Sunlight , Weather
20.
Article in Chinese | WPRIM | ID: wpr-269968

ABSTRACT

<p><b>OBJECTIVE</b>To explore the concentration-response relationship between ambient concentration of PM2.5 and daily total hospital emergency room visits in Beijing during 2012 and 2013. This study also examined the effects of ambient PM2.5 during heavy polluted days on emergency room visits compared with the light polluted days.</p><p><b>METHODS</b>We collected the daily meteorological factors monitoring data and concentrations of air pollutants in Beijing during October 1, 2012 to December 31, 2013. We also collected the daily emergency room visits from a tertiary hospital in Beijing in the same time period. Generalized additive model was fitted to estimate the association between the ambient PM2.5 and the hospital emergency room visits, by using the smooth function to adjust long term trend of time, public holidays and day of week. In addition, constrained piecewise linear function was then used to estimate the excess risk for different segment of concentration-response function.</p><p><b>RESULTS</b>The annual average concentration of PM2.5 was 90.9 µg/m(3) during October 1, 2012 and December 31, 2013. There were total 64 260 cases for total emergency room visits, of which respiratory disease had 9 849 cases and cardiovascular disease had 11 168 cases. PM2.5 was positive related with PM10, NO2 and SO2. The corresponding correlation coefficients were 0.87, 0.78 and 0.62, respectively (P<0.05). And PM2.5 was positively related with relative humidity, with correlation coefficient 0.45 (P<0.05). But PM2.5 was negatively related with mean temperature (r=-0.17, P< 0.05) and wind speed (- 0.32, P<0.05). In the single polluted model, after adjusting the effects of temperature, relative humidity and wind, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits was 0.25% (95% CI: 0.07-0.43). In the two-pollutant model PM2.5+SO2 and PM2.5+NO2, every 10 µg/m(3) increase of concentration of ambient PM2.5, the corresponding excess risk of daily emergency room visits were 1.07% (95%CI:0.83-1.30) and 0.56% (95%CI: 0.32-0.80) respectively, which were higher than the effect in single pollutant model. Average concentration of ambient particulate matters (PM2.5) was 204.16 µg/m(3) during heavy pollution, higher than control period (85.24 µg/m(3)). When PM2.5 as the primary air pollutants during heavy polluted days, we observed a significant increase in emergency room visits, and the odd ratios was 1.16 (95% CI:1.09-1.22).</p><p><b>CONCLUSION</b>There were positive correlation between high concentration of ambient particulate matters (PM2.5) and increasing daily emergency room visits. Especially during the heavy polluted days, the effects of elevated concentration of PM2.5 on hospital emergency room visits were much larger.</p>


Subject(s)
Air Pollutants , Beijing , Cardiovascular Diseases , Diagnosis , Emergency Service, Hospital , Humans , Meteorological Concepts , Particulate Matter , Respiratory Tract Diseases , Diagnosis , Temperature , Tertiary Care Centers
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