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1.
Chemosphere ; 234: 668-681, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31234084

RESUMO

Daily fluctuations of the airborne pollen concentrations produce variations on symptomatology in allergic population. Such fluctuations are influenced by local vegetal coverage, flowering phenology, geography and climatology. Since 1991, airborne pollen of Malaga province (southern Spain) has been monitored in 7 different locations. Malaga station has been kept operational uninterruptedly throughout the studied period, while the rest of the stations only worked in periods of 2-4 years. Weekly, its pollen information is updated online to inform the population in order to prevent allergic diseases. Increasing the spatial resolution of pollen information would be very useful for allergic population living at unsampled locations. Due to the impossibility of keeping operational a high number of pollen stations covering the whole province of Malaga, the aim of this study is to create spatial models to extrapolate and forecast the pollen concentrations to Malaga province by using the concentrations registered at the capital as unique input. To do so, the relationships obtained between the airborne pollen concentrations detected at Malaga city and those detected at the other stations have been used to elaborate models for the main pollen types registered at the province. These models were spatially interpolated all over the province by using co-kriging techniques and the Compensated Thermicity Index as covariable. As result of this work, pollen distribution of the 8 most prevalent taxa has been depicted all over the whole Malaga province and an allergy alert system has been set up to extrapolate pollen information from Malaga to the whole province.


Assuntos
Poluentes Atmosféricos/análise , Poluição do Ar/estatística & dados numéricos , Alérgenos/análise , Monitoramento Ambiental/métodos , Pólen/química , Estações do Ano , Previsões , Humanos , Espanha , Análise Espaço-Temporal
2.
Rev Epidemiol Sante Publique ; 52(6): 558-64, 2004 Dec.
Artigo em Francês | MEDLINE | ID: mdl-15741917

RESUMO

BACKGROUND: In Tunisia, cardiovascular diseases are the leading causes of death (30%) and a few studies conducted in the population have demonstrated that the level of their risk factors is increasing. For policy makers, the health system impact of these diseases is currently a crucial issue. The National Public Health Institute has identified the implementation of a morbidity register as a priority. METHODS: A CVD morbidity register is implemented since 2001, in 3 different geographical populations having contrasted levels of health status (Tunis, Ariana and Ben Arous). The 3 regions are covering about 2 millions inhabitants which is the fifth of the overall Tunisian population. All coronary heart events occurring among adults 25 years old and above in the 3 populations are recorded. The diagnosis of events, case fatality and classification are defined according to MONICA criteria. The data are recorded from public and private hospitals, death certificates and autopsies. RESULTS: During the year 2001, the total number of myocardial infarction events was estimated at 942: in men, the age-standardized rates were 163.8/100000 in Tunis population vs. 161.9 in Ariana and 170.5 in Ben Arous. In women, the rates were respectively 43.4, 61.1 and 44.6. Medical causes of death registration was the most crucial problem in spite of the implementation of the death certificate designed according to WHO model. Specific surveys for clinical assessment and surveillance of risk factors were conducted in the register populations. CONCLUSION: It is the first time that data on coronary heart disease incidence and fatality are available in Tunisia through this experience which highlights the practical difficulties experienced in registering and coding coronary events in a developing country. The data source quality should be improved and the register should be integrated in the local health system.


Assuntos
Doença das Coronárias/epidemiologia , Sistema de Registros , Adulto , Distribuição por Idade , Idoso , Países em Desenvolvimento , Feminino , Nível de Saúde , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Tunísia/epidemiologia
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