scholarly journals Spatial scale in environmental risk mapping: A Valley fever case study

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Heidi E. Brown ◽  
Wangshu Mu ◽  
Mohammed Khan ◽  
Clarisse Tsang ◽  
Jian Liu ◽  
...  

<em>Background</em>. Valley fever is a fungal infection occurring in desert regions of the U.S. and Central and South America. Environmental risk mapping for this disease is hampered by challenges with detection, case reporting, and diagnostics as well as challenges common to spatial data handling. <br /><em>Design and Methods.</em> Using 12,349 individual cases in Arizona from 2006 to 2009, we analyzed risk factors at both the individual and area levels. <br /><em>Results</em>. Risk factors including elderly population, income status, soil organic carbon, and density of residential area were found to be positively associated with residence of Valley fever cases. A negative association was observed for distance to desert and pasture/ hay land cover. The association between incidence and two land cover variables (shrub and cultivated crop lands) varied depending on the spatial scale of the analysis. <br /><em>Conclusions</em>. The consistence of age, income, population density, and proximity to natural areas supports that these are important predictors of Valley fever risk. However, the inconsistency of the land cover variables across scales highlights the importance of how scale is treated in risk mapping.

1999 ◽  
Vol 175 (4) ◽  
pp. 351-356 ◽  
Author(s):  
Kenneth S. Kendler ◽  
Laura M. Karkowski ◽  
Linda A. Corey ◽  
Carol A. Prescott ◽  
Michael C. Neale

BackgroundSubsequent to initial exposure to the use of a psychoactive substance, psychoactive substance use disorder (PSUD) may or may not develop.AimsTo investigate the relationship between the risk factors for initiation and the subsequent misuse of psychoactive substances.MethodThe lifetime history of illicit substance use and misuse was obtained by telephone interview with 1934 members of female–female twin pairs. We apply a novel model, which estimates the role of genetic and environmental risk factors that influence initiation and those specific to misuse, to three classes of illicit psychoactive substances.ResultsThe individual-specific environment and family environment influenced the probability of initiation, but only individual-specific environment had an impact on the probability of subsequent misuse. Genetic factors which influence the risk of initiation and of misuse were identified.ConclusionsAetiological factors that influence drug initiation and subsequent misuse are correlated but not identical. Family environment is an important determinant of risk for drug experimentation. Two classes of genetic risk factors act on the liability to PSUD: those that influence the probability of initiation and those that influence the risk of misuse.


2020 ◽  
Vol 11 (SPL4) ◽  
pp. 39-42
Author(s):  
Mary Minolin T ◽  
Gayathri Devi S

Autism Spectrum Disorder (ASD) alludes to a scope of conditions portrayed by some level of debilitated social conduct, communication and language and a tight scope of interests and exercises that are both special to the individual and completed repetitively. ASDs starts in youth and will, in general, persevere into pre-adulthood and adulthood. As a rule, the conditions are apparent during the initial five years of life. People with ASD regularly present other co-happening conditions including epilepsy, depression, anxiety and attention deficit hyperactivity disorder (ADHD). The study aims to assess the knowledge of environmental risk factors that influence the risk of autism among antenatal mothers. A descriptive survey design was adopted with 100 samples using a convenient sampling technique. The significant findings of samples are 26% had inadequate knowledge, 64% had moderate knowledge, and 10% had adequate knowledge. The demographic variable of maternal age, education and place of residents are statistically significantly associated with the level of knowledge at p<0.001 level. The study findings revealed that antenatal mothers had moderately adequate knowledge regarding awareness on environmental risk factors that are influencing the risk of autism. So the antenatal mothers should be aware of environmental risk factors of autism. Early identification and treatment of these risk factors during gestation may play a role in reducing ASD risk factors.


2020 ◽  
Author(s):  
Mohamed Elsadig Mansour ◽  
Tamador mohamed Abdellah ◽  
Selma Kamal ◽  
Atif Alamin Abdelgadir

Abstract Background A retrospective study was performed in selected states of the Sudan that include Gezira state, White Nile, Blue Nile, Khartoum, River Nile and Sennar states in order to investigate the seroprevalence of Rift Valley Fever (RVF) from 2007 to 2016. The risk factors that identified for RVF were locality, species, and animal population. For example, locality and species were significantly associated with seroprevalence of RVF (P-value = 049)(P-value = 0.000) respectively, While animal population was not associated in Gezira state (P-value = .415) and χ2 value was (12.629), however it was significantly associated in other regions. The highest seroprevalence estimated for RVF was 0.7% in River Nile state, while lowest seroprevalence for RVF recorded was 0.01% in Khartoum and Sennar states, respectively. Methods The current study was carried out in selected states in Central Sudan to investigate the epidemiology of RVF. Also it was focused on livestock in particular sheep, goat and cattle. Study design was retrospective to investigate seroprevalence, risk factors and spatial and animal patterns associated with RVF from 2007 to 2016. Result Estimated seroprevalence of RVF was 0.15% (n = 905) in sheep, 0.20%( n = 776) in goats and 0.13%( n = 638) in cattle respectively. The risk factors that identified for RVF were locality, species, and animal population. For example, locality and species were significantly associated with seroprevalence of RVF (P-value = 049)(P-value = 0.000) respectively, While animal population was not associated in Gezira state (P-value = .415). Environmental risk factors i.e. annual temperature and annual rain fall were compared to RVF occurrence in study area with average mean of 29.0ºC and 398.8 mm Conclusion Rift valley fever is arthropod-born zoonosis disease. It affects livestock like sheep, goat, cattle and camel .it usually occurs following heavy rainfall and cause storm of abortion in pregnant animals. The principle vector of RVF is Mosquitoe and also it is transmitted through tissues of infected animal and human and also through of undercooked milk. In spite of there is no confirmed cases that can be transmitted from person to person by direct contact. It is characterized in human by influenza- like illness, in moderate cases can develop retinitis and eye infection and severe complication can cause hemorrhagic form with oozing of blood from natural orifices, the morbidity and mortality rate is varying from 5–100% in livestock, death rate can reach up to 10% and case fatality rate is less than one percent. The vaccination against RVF is used in case of outbreak and suspected cases in livestock; however there is no available vaccine for human usage. The current study is retrospective survey to investigate the seroprevalence, risk factor and spatial and animal patterns in selected states in Sudan. Estimated seroprevalence of RVF was 0.15% (n = 905) in sheep, 0.20%( n = 776) in goats and 0.13%( n = 638) in cattle respectively. The risk factors that identified for RVF were locality, species, and animal population. For instance, locality and species were significantly associated with seroprevalence of RVF (P-value = 049), (P-value = 0.000) respectively, While animal population was not associated in Gezira state (P-value = .415). Environmental risk factors i.e. annual temperature and annual rain fall were compared to RVF occurrence in study area with average mean of 29.0ºC and 398.8 mm respectively.


2005 ◽  
Vol 7 (1) ◽  
pp. 69-80 ◽  

Genetic factors are clearly important in the etiology of schizophrenia, but the environment in which an individual's genes find expression is also crucial to the development of the illness. In this review of environmental risk factors for schizophrenia, we consider risks operating prenatally and perinatally, during childhood, and then later in life prior to illness onset Some of these risk factors have been well documented, for example, early hazards causing fetal growth retardation or hypoxia, and hazards nearer the onset of illness like drug abuse and migration. Others are much less certain. The importance of interaction between genetic and environmental risk is, however, undoubtedly important and there is emerging evidence for this from a range of sources. As the etiology of schizophrenia is unraveled, the picture becomes more complex, but also more obviously relevant to the plight of the individual patient.


Author(s):  
Stephen J. Glatt ◽  
Stephen V. Faraone ◽  
Ming T. Tsuang

Although there is very strong evidence for a genetic piece to schizophrenia, the lack of full concordance between identical twins shows that the environment also plays a role. We define an ‘environmental risk factor’ as any event that is not due to genes, specifically the individual differences in the DNA sequence.These events may be biological (e.g., head injuries, viral infections), psycho­logical (e.g., disrupted family relationships), or social (e.g., poverty).Over the past few decades, scientists have found evidence for environmental risk factors in at least some cases of schizophrenia. Before reviewing this research, we must make an important distinction: some environmental factors may cause or contribute to schizophrenia while others modify or change the illness in someone who is already sick. In this book we use the term ‘cause’ to refer to any factor that can produce the illness or increase the chance of illness in someone who has not yet been affected by schizophrenia. This cause does not have to be either necessary or sufficient. This means that other causes may exist that also produce the illness, and that any given cause may need to interact with other causes for the disorder to occur. We use the term ‘modifier’ to refer to anything that changes the symptoms of the illness in someone who is already affected. As we discuss in a later chapter, knowing modifiers can help with the treatment of the disorder. However, they should not be confused with causes.Scientists who study schizophrenia and other psychiatric disorders have long ago abandoned the ‘nature–nurture’ controversy. In the past, many philo­sophers and scientists had taken one of two extreme positions. Some believed that psychiatric illness was only caused by innate or genetic factors; others felt that mental illness was the sole product of adverse environmental events. Today, we know that the question ‘genes or environment?’ is too simplistic. As Dr Paul Meehl realized several decades ago, the better question is much more com­plex: ‘What group of environmental risk factors work together with which genes to produce schizophrenia?’Before discussing specific environmental risk factors that may cause schizo­phrenia we should clarify why we believe that the study of such factors is es­sential.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Bimal K. Chhetri ◽  
Olaf Berke ◽  
David L. Pearl ◽  
Dorothee Bienzle

The knowledge of the spatial distribution feline immunodeficiency virus and feline leukemia virus infections, which are untreatable, can inform on their risk factors and high-risk areas to enhance control. However, when spatial analysis involves aggregated spatial data, results may be influenced by the spatial scale of aggregation, an effect known as the modifiable areal unit problem (MAUP). In this study, area level risk factors for both infections in 28,914 cats tested with ELISA were investigated by multivariable spatial Poisson regression models along with MAUP effect on spatial clustering and cluster detection (for postal codes, counties, and states) by Moran’s I test and spatial scan test, respectively. The study results indicate that the significance and magnitude of the association of risk factors with both infections varied with aggregation scale. Further more, Moran’s I test only identified spatial clustering at postal code and county levels of aggregation. Similarly, the spatial scan test indicated that the number, size, and location of clusters varied over aggregation scales. In conclusion, the association between infection and area was influenced by the choice of spatial scale and indicates the importance of study design and data analysis with respect to specific research questions.


Survey Review ◽  
2017 ◽  
Vol 50 (362) ◽  
pp. 397-403 ◽  
Author(s):  
Monika Siejka ◽  
Monika Mika ◽  
Tomasz Salata ◽  
Przemysław Leń

2010 ◽  
Author(s):  
Thomas A. Wills ◽  
Pallav Pokhrel ◽  
Frederick X. Gibbons ◽  
James D. Sargent ◽  
Mike Stoolmiller

2012 ◽  
Author(s):  
M. Pugliatti ◽  
I. Casetta ◽  
J. Drulovic ◽  
E. Granieri ◽  
T. Holmøy ◽  
...  

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