scholarly article | Q13442814 |
P50 | author | Frank Osei | Q91005950 |
Alfred Stein | Q91005952 | ||
P2093 | author name string | Ricardo J Soares Magalhães | |
Lydia R Leonardo | |||
Andrea L Araujo Navas | |||
P2860 | cites work | Assessment of the age-specific disability weight of chronic schistosomiasis japonica | Q24657922 |
Earth Observation, Spatial Data Quality, and Neglected Tropical Diseases | Q26775051 | ||
Risk profiling of schistosomiasis using remote sensing: approaches, challenges and outlook | Q26823136 | ||
Evaluating uncertainty to strengthen epidemiologic data for use in human health risk assessments | Q28396918 | ||
Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence | Q28397065 | ||
Bayesian risk mapping and model-based estimation of Schistosoma haematobium-Schistosoma mansoni co-distribution in Côte d'Ivoire | Q28542763 | ||
Mapping the Risk of Soil-Transmitted Helminthic Infections in the Philippines | Q28547974 | ||
Reassessment of the cost of chronic helmintic infection: a meta-analysis of disability-related outcomes in endemic schistosomiasis | Q29619819 | ||
Geostatistical model-based estimates of Schistosomiasis prevalence among individuals aged ≤ 20 years in West Africa | Q30485053 | ||
Spatially explicit Schistosoma infection risk in eastern Africa using Bayesian geostatistical modelling | Q30485175 | ||
Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data | Q30666746 | ||
Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa | Q30671145 | ||
Modeling the distribution of Schistosoma mansoni and host snails in Uganda using satellite sensor data and Geographical Information Systems. | Q30996617 | ||
A cross-sectional study of the prevalence of intensity of infection with Schistosoma japonicum in 50 irrigated and rain-fed villages in Samar Province, the Philippines | Q33235948 | ||
Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review | Q33304215 | ||
Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda | Q33358429 | ||
The global burden of disease study 2010: interpretation and implications for the neglected tropical diseases | Q33945536 | ||
Population dynamics model for Bulinus globosus, intermediate host for Schistosoma haematobium, in river habitats. | Q50548632 | ||
Health-exposure modeling and the ecological fallacy. | Q51190145 | ||
Comparison of relative risks obtained in ecological and individual studies: some methodological considerations. | Q51218141 | ||
An integrated approach to identify distribution of Oncomelania hupensis, the intermediate host of Schistosoma japonicum, in a mountainous region in China. | Q51693290 | ||
Comparison of the thick smear and Kato-Katz techniques for diagnosis of intestinal helminth infections. | Q55040783 | ||
Nutritional Status and Serum Cytokine Profiles in Children, Adolescents, and Young Adults withSchistosoma japonicum–Associated Hepatic Fibrosis, in Leyte, Philippines | Q58812327 | ||
Prevalence survey of schistosomiasis in Mindanao and the Visayas, The Philippines | Q81349584 | ||
Schistosomiasis japonica, anemia, and iron status in children, adolescents, and young adults in Leyte, Philippines 1 | Q82519204 | ||
Large-scale determinants of intestinal schistosomiasis and intermediate host snail distribution across Africa: does climate matter? | Q34091997 | ||
The use of bivariate spatial modeling of questionnaire and parasitology data to predict the distribution of Schistosoma haematobium in Coastal Kenya | Q34566637 | ||
Use of geospatial modeling to predict Schistosoma mansoni prevalence in Nyanza Province, Kenya | Q34971746 | ||
Free-living endohelminth stages: at the mercy of environmental conditions | Q35175475 | ||
Tools from ecology: useful for evaluating infection risk models? | Q35196002 | ||
Geographical distribution of human Schistosoma japonicum infection in The Philippines: tools to support disease control and further elimination | Q35529650 | ||
A national baseline prevalence survey of schistosomiasis in the Philippines using stratified two-step systematic cluster sampling design | Q35838054 | ||
Modeling and Validation of Environmental Suitability for Schistosomiasis Transmission Using Remote Sensing | Q35847008 | ||
Factors impacting on progress towards elimination of transmission of schistosomiasis japonica in China | Q36459859 | ||
Thirty years of use and improvement of remote sensing, applied to epidemiology: from early promises to lasting frustration | Q36492653 | ||
Studies on Schistosoma japonicum infection in the Philippines. 2. The molluscan host | Q36879826 | ||
Spatial measurement errors in the field of spatial epidemiology | Q37059653 | ||
Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa | Q37123843 | ||
Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa | Q37461456 | ||
New endemic foci of schistosomiasis infections in the Philippines | Q39171416 | ||
Spatial risk prediction and mapping of Schistosoma mansoni infections among schoolchildren living in western Côte d'Ivoire | Q39385048 | ||
Predictive risk mapping of schistosomiasis in Brazil using Bayesian geostatistical models | Q39438540 | ||
Sandwich mapping of schistosomiasis risk in Anhui Province, China | Q40858233 | ||
The influence of physical factors on the survival and infectivity of miracidia ofSchistosoma mansoniandS. haematobiumI. Effect of temperature and ultra-violet light | Q41261938 | ||
Difficulties and strategies in the control of schistosomiasis in the Philippines. | Q43353420 | ||
A geoprocessing approach for studying and controlling schistosomiasis in the state of Minas Gerais, Brazil | Q44104754 | ||
Use of satellite remote sensing and geographic information systems to model the distribution and abundance of snail intermediate hosts in Africa: a preliminary model for Biomphalaria pfeifferi in Ethiopia | Q46852103 | ||
Accommodating the ecological fallacy in disease mapping in the absence of individual exposures | Q47956156 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | ArcGIS | Q513297 |
P433 | issue | 2 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | bias | Q742736 |
Schistosoma japonicum | Q1256989 | ||
P304 | page(s) | 176 | |
P577 | publication date | 2019-01-09 | |
P1433 | published in | International Journal of Environmental Research and Public Health | Q6051382 |
P1476 | title | Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection | |
P478 | volume | 16 |
Q89980825 | Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalence | cites work | P2860 |
Search more.