Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection

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Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection is …
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scholarly articleQ13442814

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P356DOI10.3390/IJERPH16020176
P932PMC publication ID6351909
P698PubMed publication ID30634518

P50authorFrank OseiQ91005950
Alfred SteinQ91005952
P2093author name stringRicardo J Soares Magalhães
Lydia R Leonardo
Andrea L Araujo Navas
P2860cites workAssessment of the age-specific disability weight of chronic schistosomiasis japonicaQ24657922
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Bayesian risk mapping and model-based estimation of Schistosoma haematobium-Schistosoma mansoni co-distribution in Côte d'IvoireQ28542763
Mapping the Risk of Soil-Transmitted Helminthic Infections in the PhilippinesQ28547974
Reassessment of the cost of chronic helmintic infection: a meta-analysis of disability-related outcomes in endemic schistosomiasisQ29619819
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Spatially explicit Schistosoma infection risk in eastern Africa using Bayesian geostatistical modellingQ30485175
Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor dataQ30666746
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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 PhilippinesQ33235948
Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a reviewQ33304215
Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in UgandaQ33358429
The global burden of disease study 2010: interpretation and implications for the neglected tropical diseasesQ33945536
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
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Nutritional Status and Serum Cytokine Profiles in Children, Adolescents, and Young Adults withSchistosoma japonicum–Associated Hepatic Fibrosis, in Leyte, PhilippinesQ58812327
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Schistosomiasis japonica, anemia, and iron status in children, adolescents, and young adults in Leyte, Philippines 1Q82519204
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 KenyaQ34566637
Use of geospatial modeling to predict Schistosoma mansoni prevalence in Nyanza Province, KenyaQ34971746
Free-living endohelminth stages: at the mercy of environmental conditionsQ35175475
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 eliminationQ35529650
A national baseline prevalence survey of schistosomiasis in the Philippines using stratified two-step systematic cluster sampling designQ35838054
Modeling and Validation of Environmental Suitability for Schistosomiasis Transmission Using Remote SensingQ35847008
Factors impacting on progress towards elimination of transmission of schistosomiasis japonica in ChinaQ36459859
Thirty years of use and improvement of remote sensing, applied to epidemiology: from early promises to lasting frustrationQ36492653
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Spatial measurement errors in the field of spatial epidemiologyQ37059653
Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East AfricaQ37123843
Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in AfricaQ37461456
New endemic foci of schistosomiasis infections in the PhilippinesQ39171416
Spatial risk prediction and mapping of Schistosoma mansoni infections among schoolchildren living in western Côte d'IvoireQ39385048
Predictive risk mapping of schistosomiasis in Brazil using Bayesian geostatistical modelsQ39438540
Sandwich mapping of schistosomiasis risk in Anhui Province, ChinaQ40858233
The influence of physical factors on the survival and infectivity of miracidia ofSchistosoma mansoniandS. haematobiumI. Effect of temperature and ultra-violet lightQ41261938
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, BrazilQ44104754
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 EthiopiaQ46852103
Accommodating the ecological fallacy in disease mapping in the absence of individual exposuresQ47956156
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P4510describes a project that usesArcGISQ513297
P433issue2
P407language of work or nameEnglishQ1860
P921main subjectbiasQ742736
Schistosoma japonicumQ1256989
P304page(s)176
P577publication date2019-01-09
P1433published inInternational Journal of Environmental Research and Public HealthQ6051382
P1476titleModeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection
P478volume16

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Q89980825Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalencecites workP2860

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