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Geospatial Health

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https://www.readbyqxmd.com/read/27903067/predicting-the-spatial-distribution-of-biomphalaria-straminea-a-potential-intermediate-host-for-schistosoma-mansoni-in-china
#1
Mohamed R Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou
Schistosomiasis is one of the most prevalent parasitic diseases impacting human health in the tropics and sub-tropics. The geographic distribution of Schistosoma mansoni, the most widespread species, includes areas in Africa, the Middle East, South America and the Caribbean. Snails of the genus Biomphalaria act as intermediate host for S. mansoni. Biomphalaria straminea is not indigenous in China but was accidentally introduced to Hong Kong from South America and has spread to other habitats in the southern parts of the country...
November 29, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903066/the-spatio-temporal-distribution-of-oncomelania-hupensis-along-yangtze-river-in-jiangsu-province-china-after-implementation-of-a-new-integrated-schistosomiasis-control-strategy
#2
Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang
This study concerns an integrated strategy of schistosomiasis control, focusing on the management and elimination of the main transmission cycles and reservoirs along Yangtze river, Jiangsu Province (China), instituted in 2004. Our analysis, including mapping, spatial autocorrelation and spatio-temporal scanning, was implemented between 2001 and 2013 to explore the changes in the distribution of Oncomelania hupensis, the intermediate host of Schistosoma japonicum. Two high-density snail locations in the upper and middle reaches of the river were observed along with one high-risk area due to infected snails in the upper reaches at the beginning of the study period...
November 29, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903065/predominance-and-geo-mapping-of-avian-influenza-h5n1-in-poultry-sectors-in-egypt
#3
Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K Hassan, Moussa Soliman, Olubunmi G Fasanmi, Folorunso O Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M Jobre
Highly pathogenic avian influenza (HPAI) virus of the H5N1 subtype has been enzootic in the Egyptian poultry with significant human infections since 2008. This work evaluates the epidemiological and virological information from February 2006 to May 2015 in spatial and temporal terms. Only data with confirmed HPAI H5N1 sub-type were collected, and matched with the epidemiological data from various spatially and temporally-dispersed surveillances implemented between 2006 and 2015. Spatio-temporal analysis was conducted on a total of 3338 confirmed H5N1 HPAI poultry disease outbreaks and outputs described based on transmission patterns, poultry species, production types affected, trade, geographic and temporal distributions in Egypt...
November 28, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903064/modelling-of-the-distribution-of-biomphalaria-glabrata-and-biomphalaria-straminea-in-the-metropolitan-region-of-recife-pernambuco-brazil
#4
Verônica Santos Barbosa, Ricardo José de Paula Souza E Guimarães, Rodrigo Moraes Loyo, Constança Simões Barbosa
The occurrence of schistosomiasis is directly linked to the presence of its snail intermediate host Biomphalaria spp. Knowledge of geographical distribution, habitats and behaviour of these snails in relation to the climate is essential for guiding measures for disease prevention and control. This study aims to model the distribution of B. glabrata and B. straminea in schistosomiasis non-endemic areas of the metropolitan region of Recife (MRR) based on environmental data and estimates of snail distributions in endemic and neighbouring areas...
November 25, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903063/smartphone-assisted-spatial-data-collection-improves-geographic-information-quality-pilot-study-using-a-birth-records-dataset
#5
Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han
It is well known that the conventional, automated geocoding method based on self-reported residential addresses has many issues. We developed a smartphone-assisted aerial image-based method, which uses the Google Maps application programming interface as a spatial data collection tool during the birth registration process. In this pilot study, we have tested whether the smartphone-assisted method provides more accurate geographic information than the automated geocoding method in the scenario when both methods can get the address geocodes...
November 23, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903062/geographically-weighted-regression-for-modelling-the-accessibility-to-the-public-hospital-network-in-concepci%C3%A3-n-metropolitan-area-chile
#6
Marcela Martínez Bascuñán, Carolina Rojas Quezada
Accessibility models in transport geography based on geographic information systems have proven to be an effective method in determining spatial inequalities associated with public health. This work aims to model the spatial accessibility from populated areas within the Concepción metropolitan area (CMA), the second largest city in Chile. The city's public hospital network is taken into consideration with special reference to socio-regional inequalities. The use of geographically weighted regression (GWR) and ordinary least squares (OLS) for modelling accessibility with socioeconomic and transport variables is proposed...
November 22, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903068/quantifying-altitude-of-human-habitation-in-studies-of-human-health-using-geographical-name-server-data
#7
Stephen Thielke, Christopher G Slatore, William A Banks
Almost all studies examining the effects of altitude on human health have estimated the geographical altitude of defined regions, yet the primary interest lies in where people live, not the land around them. Populations are not homogenously distributed across altitudes. We propose a straightforward and computationally simple method for estimating the average altitude of habitation within the regional units for which health statistics are typically reported (such as counties). The United States Board on Geographical Names database contains records for over 2...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903061/geographic-distribution-of-canine-heartworm-dirofilaria-immitis-infection-in-stray-dogs-of-eastern-romania
#8
Lavinia Ciucă, Vincenzo Musella, Liviu D Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi
A survey was conducted in the eastern part of Romania to assess the prevalence and geographical distribution of Dirofilaria immitis in dogs. Plasma samples were collected from 458 stray dogs hosted in shelters in 8 counties and tested serologically for the presence of heartworm. In addition, 45 blood samples from dogs of a shelter in Galati city were examined by the modified Knott and multiplex polymerase chain reaction (PCR) techniques. The immmunological assay showed a heartworm infection prevalence of 8...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903060/satellite-imagery-technology-in-public-health-analysis-of-site-catchment-areas-for-assessment-of-poliovirus-circulation-in-nigeria-and-niger
#9
Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M Diop, Takeo Tadono
Environmental surveillance supplements the surveillance of acute flaccid paralysis by monitoring wastewater for poliovirus circulation. Building on previous work, we analysed wastewater flow to optimise selection and placement of sampling sites with higher digital surface model (DSM) resolution. The newly developed 5-m mesh DSM from the panchromatic, remote-sensing instruments for stereo mapping on-board the Japanese advanced land observing satellite was used to estimate catchment areas and flow of sewage water based on terrain topography...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903059/identifying-counties-vulnerable-to-diabetes-from-obesity-prevalence-in-the-united-states-a-spatiotemporal-analysis
#10
Xiao Li, Amanda Staudt, Lung-Chang Chien
Clinical and epidemiological research has reported a strong association between diabetes and obesity. However, whether increased diabetes prevalence is more likely to appear in areas with increased obesity prevalence has not been thoroughly investigated in the United States (US). The Bayesian structured additive regression model was applied to identify whether counties with higher obesity prevalence are more likely clustered in specific regions in 48 contiguous US states. Prevalence data adopted the small area estimate from the Behavioral Risk Factor Surveillance System...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903058/space-time-epidemiology-and-effect-of-meteorological-parameters-on-influenza-like-illness-in-phitsanulok-a-northern-province-in-thailand
#11
Prakash Madhav Nimbalkar, Nitin Kumar Tripathi
Influenza-like illness (ILI) is an acute respiratory disease that remains a public health concern for its ability to circulate globally affecting any age group and gender causing serious illness with mortality risk. Comprehensive assessment of the spatio-temporal dynamics of ILI is a prerequisite for effective risk assessment and application of control measures. Though meteorological parameters, such as rainfall, average relative humidity and temperature, influence ILI and represent crucial information for control of this disease, the relation between the disease and these variables is not clearly understood in tropical climates...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903057/spatial-analysis-and-prediction-of-the-flow-of-patients-to-public-health-centres-in-a-middle-sized-spanish-city
#12
Isabel Ramos, Juan J Cubillas, Francisco R Feito, Tomas Ureña
Human and medical resources in the Spanish primary health care centres are usually planned and managed on the basis of the average number of patients in previous years. However, sudden increases in patient demand leading to delays and slip-ups can occur at any time without warning. This paper describes a predictive model capable of calculating patient demand in advance using geospatial data, whose values depend directly on weather variables and location of the health centre people are assigned to. The results obtained here show that outcomes differ from one centre to another depending on variations in the variables measured...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903056/spatial-pattern-evolution-of-aedes-aegypti-breeding-sites-in-an-argentinean-city-without-a-dengue-vector-control-programme
#13
Manuel O Espinosa, Francisco Polop, Camilo H Rotela, Marcelo Abril, Carlos M Scavuzzo
The main objective of this study was to obtain and analyse the space-time dynamics of Aedes aegypti breeding sites in Clorinda City, Formosa Province, Argentina coupled with landscape analysis using the maximum entropy approach in order to generate a dengue vector niche model. In urban areas, without vector control activities, 12 entomologic (larval) samplings were performed during three years (October 2011 to October 2014). The entomologic surveillance area represented 16,511 houses. Predictive models for Aedes distribution were developed using vector breeding abundance data, density analysis, clustering and geoprocessing techniques coupled with Earth observation satellite data...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903055/local-landscape-effects-on-population-dynamics-of-ixodes-ricinus
#14
Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz
Ixodes ricinus, a common tick in Europe, transmits severe tickborne pathogens (TBPs). In Sweden, both prevalence and incidence of tick-borne infections have increased during the last few decades, and a majority of the cases is reported from the area around Stockholm. Among ticks, transmission of TBPs involves co-feeding of susceptible larvae or nymphs with infected ticks on the same host. Seasonal synchrony of immature stages and total tick abundance are important factors for the probability of horizontal transmission of TBPs...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903054/future-malaria-spatial-pattern-based-on-the-potential-global-warming-impact-in-south-and-southeast-asia
#15
Hassan M Khormi, Lalit Kumar
We used the Model for Interdisciplinary Research on Climate-H climate model with the A2 Special Report on Emissions Scenarios for the years 2050 and 2100 and CLIMEX software for projections to illustrate the potential impact of climate change on the spatial distributions of malaria in China, India, Indochina, Indonesia, and The Philippines based on climate variables such as temperature, moisture, heat, cold and dryness. The model was calibrated using data from several knowledge domains, including geographical distribution records...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903053/a-comparison-of-temporal-and-location-based-sampling-strategies-for-global-positioning-system-triggered-electronic-diaries
#16
Tobias Törnros, Helen Dorn, Markus Reichert, Ulrich Ebner-Priemer, Hans-Joachim Salize, Heike Tost, Andreas Meyer-Lindenberg, Alexander Zipf
Self-reporting is a well-established approach within the medical and psychological sciences. In order to avoid recall bias, i.e. past events being remembered inaccurately, the reports can be filled out on a smartphone in real-time and in the natural environment. This is often referred to as ambulatory assessment and the reports are usually triggered at regular time intervals. With this sampling scheme, however, rare events (e.g. a visit to a park or recreation area) are likely to be missed. When addressing the correlation between mood and the environment, it may therefore be beneficial to include participant locations within the ambulatory assessment sampling scheme...
November 21, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903052/assessing-spatial-inequalities-in-accessing-community-pharmacies-a-mixed-geographically-weighted-approach
#17
Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto
Geographical accessibility is an important determinant for the utilisation of community pharmacies. The present study explored patterns of spatial accessibility with respect to pharmacies in Liguria, Italy, a region with particular geographical and demographic features. Municipal density of pharmacies was proxied as the number of pharmacies per capita and per km2, and spatial autocorrelation analysis was performed to identify spatial clusters. Both non-spatial and spatial models were constructed to predict the study outcome...
November 16, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903051/spatial-and-spatio-temporal-analysis-of-malaria-in-the-state-of-acre-western-amazon-brazil
#18
Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto
Since 2005, the State of Acre, western Amazon, Brazil, has reported the highest annual parasite incidence (API) of malaria among the Brazilian states. This study examines malaria incidence in Acre using spatial and spatio-temporal analysis based on an ecological time series study analyzing malaria cases and deaths for the time period 1992- 2014 and using secondary data. API indexes were calculated by age, sex, parasite species, ratio of Plasmodium vivax to P. falciparum malaria, malaria mortality rate and case fatality rate...
November 16, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903050/random-forest-variable-selection-in-spatial-malaria-transmission-modelling-in-mpumalanga-province-south-africa
#19
Thandi Kapwata, Michael T Gebreslasie
Malaria is an environmentally driven disease. In order to quantify the spatial variability of malaria transmission, it is imperative to understand the interactions between environmental variables and malaria epidemiology at a micro-geographic level using a novel statistical approach. The random forest (RF) statistical learning method, a relatively new variable-importance ranking method, measures the variable importance of potentially influential parameters through the percent increase of the mean squared error...
November 16, 2016: Geospatial Health
https://www.readbyqxmd.com/read/27903049/associations-between-time-spent-in-green-areas-and-physical-activity-among-late-middle-aged-adults
#20
Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe
Physical activity is an important facilitator for health and wellbeing, especially for late middle-aged adults, who are more susceptible to cardiovascular diseases. Physical activity performed in green areas is supposed to be particularly beneficial, so we studied whether late middle- aged adults are more active in green areas than in non-green areas and how this is influenced by individual characteristics and the level of neighbourhood greenness. We tracked 180 late middle-aged (58 to 65 years) adults using global positioning system and accelerometer data to know whether and where they were sedentary or active...
November 16, 2016: Geospatial Health
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