Read by QxMD icon Read

Geospatial Health

Sarsenbay K Abdrakhmanov, Kanatzhan K Beisembayev, Fedor I Кorennoy, Gulzhan N Yessembekova, Dosym B Кushubaev, Ablaikhan S Кadyrov
This study estimated the basic reproductive ratio of rabies at the population level in wild animals (foxes), farm animals (cattle, camels, horses, sheep) and what we classified as domestic animals (cats, dogs) in the Republic of Kazakhstan (RK). It also aimed at forecasting the possible number of new outbreaks in case of emergence of the disease in new territories. We considered cases of rabies in animals in RK from 2010 to 2013, recorded by regional veterinary services. Statistically significant space-time clusters of outbreaks in three subpopulations were detected by means of Kulldorff Scan statistics...
2016: Geospatial Health
Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel
Airborne particulate matter with a diameter of 2.5 microns or less (PM2.5), as well as slightly bigger particles (PM10), arrive from the westerly direction and collect in the city centre of Tehran, the capital of Iran. The statistical characteristics and daily trend of the air quality index (AQI) in Theran were studied over an 11-year period (2002- 2012). Various statistical analyses were applied including descriptive statistics, correlation analysis, trend analysis and the sequential nonparametric Mann-Kendall test...
2016: Geospatial Health
Ernesto Pascotto, Diego Capraro, Paolo Tomè, Mauro Spanghero
The aim of this paper was to determine the topographic distribution of gastritis lesions in pigs through an open source geographic information system (GIS) software analysis. The stomachs of 146 Italian heavy pigs were collected at slaughter and subjected to macroscopic pathological examination of the internal mucosa. A total of 623 lesions were either classified as hyperplastic or follicular (97%) with the remaining minority of lesions categorised as atrophic and simple. The hyperplastic gastritis lesions had an average surface of 77...
2016: Geospatial Health
Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi
Toxoplasmosis, an important cause of reproductive failure in sheep, is responsible for significant economic losses to the ovine industry worldwide. Moreover, ovine meat contaminated by the parasite Toxoplasma gondii is considered as a common source of infection for humans. The aim of this study was to develop point and risk profiling maps of T. gondii seroprevalence in sheep bred in Campania Region (Southern Italy) and analyse risk factors associated at the flock-level. We used serological data from a previous survey of 117 sheep flocks, while environmental and farm management information were obtained from an analysis based on geographical information systems and a questionnaire purveyance, respectively...
2016: Geospatial Health
Sarsenbay K Abdrakhmanov, Akhmetzhan A Sultanov, Kanatzhan K Beisembayev, Fedor I Korennoy, Dosym B Кushubaev, Ablaikhan S Каdyrov
This paper presents the zoning of the territory of the Republic of Kazakhstan with respect to the risk of rabies outbreaks in domestic and wild animals considering environmental and climatic conditions. The national database of rabies outbreaks in Kazakhstan in the period 2003-2014 has been accessed in order to find which zones are consistently most exposed to the risk of rabies in animals. The database contains information on the cases in demes of farm livestock, domestic animals and wild animals. To identify the areas with the highest risk of outbreaks, we applied the maximum entropy modelling method...
2016: Geospatial Health
Su Yun Kang, Susanna M Cramb, Nicole M White, Stephen J Ball, Kerrie L Mengersen
Disease maps are effective tools for explaining and predicting patterns of disease outcomes across geographical space, identifying areas of potentially elevated risk, and formulating and validating aetiological hypotheses for a disease. Bayesian models have become a standard approach to disease mapping in recent decades. This article aims to provide a basic understanding of the key concepts involved in Bayesian disease mapping methods for areal data. It is anticipated that this will help in interpretation of published maps, and provide a useful starting point for anyone interested in running disease mapping methods for areal data...
2016: Geospatial Health
Cristian Domșa, Attila D Sándor, Andrei D Mihalca
Several zoonotic tick-borne diseases are emerging in Europe due to various factors, including changes of the cultural landscape, increasing human populations, variation of social habits and climate change. We have modelled the potential range changes for two thermophilic tick species (Hyalomma marginatum and Rhipicephalus annulatus) by use of MaxEnt® and 15 climatic predictors, taking into account the aptitude for future climatic change in Romania. Current models predict increased temperatures, both in the short term (up to 2050) and in the long term (up to 2070), together with possible changes also of the other climatic factors (e...
2016: Geospatial Health
Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee
This paper presents a cross-sectional study based on the cause of death statistics in 2011 extracted from all 229 local governments in South Korea. The standardised hypertensive disease mortality rate (SHDMR) was defined by age- and sex-adjusted mortality by hypertensive diseases distinguished by International Classification of Disease- 10 (ICD-10). Variables taken into account were the number of doctors per 100,000 persons, the proportion with higher education (including university students and high school graduates), the number of recipients of basic livelihood support per 100,000 persons, the annual national health insurance premium per capita and the proportion of persons classified as high-risk drinkers...
2016: Geospatial Health
Rhea Baggenstos, Tobias Dahinden, Paul R Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer
Bovine fasciolosis, caused by Fasciola hepatica, is widespread in Switzerland. The risk regions were modelled in 2008 by an interactive map, showing the monthly potential risk of transmission of F. hepatica in Switzerland. As this map is based on a mathematical model, the aim of the present study was to evaluate the interactive map by means of a field survey taking different data sources into account. It was found that the interactive map has a sensitivity of 40.7-88.9%, a specificity of 11.4-18.8%, a positive predictive value of 26...
2016: Geospatial Health
Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui
Human immunodeficiency virus (HIV) infection and the acquired immune deficiency syndrome (AIDS) exhibit variable patterns among the provinces of China. Knowledge of the geographical distribution of the HIV/AIDS epidemic is needed for the prevention and control of AIDS. Thus, the cumulative number of reported cases of HIV/AIDS from the period 1985-2013, and the incidence rate of AIDS in 2013 were determined. Spatial autocorrelation analysis and hotspot analysis were conducted using ArcGIS10.2 to explore the spatial distribution of the HIV/AIDS epidemic...
2016: Geospatial Health
Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E Thuma, William J Moss, Frank C Curriero
Satellite imagery is increasingly available at high spatial resolution and can be used for various purposes in public health research and programme implementation. Comparing a census generated from two satellite images of the same region in rural southern Zambia obtained four and a half years apart identified patterns of household locations and change over time. The length of time that a satellite image-based census is accurate determines its utility. Households were enumerated manually from satellite images obtained in 2006 and 2011 of the same area...
2016: Geospatial Health
Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J Conraths, Ellen Kiel
This study analysed Culicoides presence-absence data from 46 sampling sites in Germany, where monitoring was carried out from April 2007 until May 2008. Culicoides presence-absence data were analysed in relation to land cover data, in order to study whether the prevalence of biting midges is correlated to land cover data with respect to the trapping sites. We differentiated eight scales, i.e. buffer zones with radii of 0.5, 1, 2, 3, 4, 5, 7.5 and 10 km, around each site, and chose several land cover variables...
2016: Geospatial Health
Kristin Meseck, Marta M Jankowska, Jasper Schipperijn, Loki Natarajan, Suneeta Godbole, Jordan Carlson, Michelle Takemoto, Katie Crist, Jacqueline Kerr
The main purpose of the present study was to assess the impact of global positioning system (GPS) signal lapse on physical activity analyses, discover any existing associations between missing GPS data and environmental and demographics attributes, and to determine whether imputation is an accurate and viable method for correcting GPS data loss. Accelerometer and GPS data of 782 participants from 8 studies were pooled to represent a range of lifestyles and interactions with the built environment. Periods of GPS signal lapse were identified and extracted...
2016: Geospatial Health
Dustin T Duncan, Ryan R Ruff, Basile Chaix, Seann D Regan, James H Williams, Joseph Ravenell, Marie A Bragg, Gbenga Ogedegbe, Brian Elbel
Previous research has highlighted the salience of spatial stigma on the lives of low-income residents, but has been theoretical in nature and/or has predominantly utilised qualitative methods with limited generalisability and ability to draw associations between spatial stigma and measured cardiovascular health outcomes. The primary objective of this study was to evaluate relationships between perceived spatial stigma, body mass index (BMI), and blood pressure among a sample of low-income housing residents in New York City (NYC)...
2016: Geospatial Health
Benn Sartorius, Kurt Sartorius
Lung cancer incidence is increasing in many low-to-middle-income countries and is significantly under-reported in Africa, which could potentially mislead policy makers when prioritising disease burden. We employed an ecological correlation study design using countrylevel lung cancer incidence data and associated determinant data. Lagged prevalence of smoking and other exposure data were used to account for exposure-disease latency. A multivariable Poisson model was employed to estimate missed lung cancer in countries lacking incidence data...
2016: Geospatial Health
Kyungsoo Han, Sejin Park, Jürgen Symanzik, Sookhee Choi, Jeongyong Ahn
Obesity is a global phenomenon affecting all socioeconomic groups, irrespective of age, gender or ethnicity. In many countries, obesity trends are causing serious public health concerns threatening the viability of basic health care delivery. In this article, we examine the trends of adolescent obesity at the national level in South Korea introducing a new approach for visualising data at the local level based on linked micromap plots. Our analysis shows that the obesity rates for 2013 have only increased slightly since 2006 for South Korean adolescents of both genders in various age groups...
2016: Geospatial Health
David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett
Rift Valley fever (RVF) is a mosquito-borne viral zoonotic disease that occurs throughout sub-Saharan Africa, Egypt and the Arabian Peninsula, with heavy impact in affected countries. Outbreaks are episodic and related to climate variability, especially rainfall and flooding. Despite great strides towards better prediction of RVF epidemics, there is still no observed climate data-based warning system with sufficient lead time for appropriate response and mitigation. We present a dynamic risk model based on historical RVF outbreaks and observed meteorological data...
2016: Geospatial Health
Shailvi Gupta, Thomas A Groen, Barclay T Stewart, Sunil Shrestha, David A Spiegel, Benedict C Nwomeh, Reinou S Groen, Adam L Kushner
Geographic information system modelling can accurately represent the geospatial distribution of disease burdens to inform health service delivery. Given the dramatic topography of Nepal and a high prevalence of unmet surgical needs, we explored the consequences of topography on the prevalence of surgical conditions. The Nepalese Surgeons OverSeas Assessment of Surgical Need (SOSAS) is a validated, countrywide, cluster randomised survey that assesses surgical need in lowand middle-income countries; it was performed in Nepal in 2014...
2016: Geospatial Health
Ockert Louis Van Schalkwyk, Eva M De Clercq, Claudia De Pus, Guy Hendrickx, Peter Van den Bossche, Darryn L Knobel
In South Africa, communal livestock farming is predominant in the foot and mouth disease control zone adjacent to the Greater Kruger National Park (KNP), where infected African buffaloes are common. During routine veterinary inspections of cattle in this area, a large amount of production and demographic parameters were being recorded. These data were collated for a five-year period (2003-2007) in three study sites to better understand the temporal dynamics and spatial heterogeneity in this system. A decreasing gradient from South to North with respect to both human and cattle population densities was observed...
2016: Geospatial Health
Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou
No abstract text is available yet for this article.
2016: Geospatial Health
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"