Using geographically weighted regression (GWR) to explore spatial varying relationships of immature mosquitoes and human densities with the incidence of dengue
about
Re-assess Vector Indices Threshold as an Early Warning Tool for Predicting Dengue Epidemic in a Dengue Non-endemic CountryUtility of mosquito surveillance data for spatial prioritization of vector control against dengue viruses in three Brazilian citiesAssessing the relationship between vector indices and dengue transmission: a systematic review of the evidenceNO(2) and cancer incidence in Saudi ArabiaAssessing the methods needed for improved dengue mapping: a SWOT analysis.Spatial Prevalence of Intellectual Disability and Related Socio-Demographic Factors in Iran, Using GWR: Case Study (2006)Geographical distribution patterns of iodine in drinking-water and its associations with geological factors in Shandong Province, China.Spatio-temporal correlation networks of dengue in the state of Bahia.Density of Aedes aegypti and Aedes albopictus and its association with number of residents and meteorological variables in the home environment of dengue endemic area, São Paulo, BrazilThe Spatial Distribution of Hepatitis C Virus Infections and Associated Determinants--An Application of a Geographically Weighted Poisson Regression for Evidence-Based Screening Interventions in Hotspots.Local spatial variations analysis of smear-positive tuberculosis in Xinjiang using Geographically Weighted Regression model.Dengue outbreaks in high-income area, Kaohsiung City, Taiwan, 2003-2009.Analyzing the spatio-temporal relationship between dengue vector larval density and land-use using factor analysis and spatial ring mapping.Cost-effectiveness of novel system of mosquito surveillance and control, Brazil.The many projected futures of dengue.Epidemiological features of hand-foot-and-mouth disease in Shenzhen, China from 2008 to 2010.Robust assessment of spatial non-stationarity in model associations related to pediatric mortality due to diarrheal disease in Brazil.Micro-spatial distribution of malaria cases and control strategies at ward level in Gwanda district, Matabeleland South, Zimbabwe.Geographically weighted temporally correlated logistic regression model.Predicting ectotherm disease vector spread--benefits from multidisciplinary approaches and directions forward.Epidemiological Characteristics and Space-Time Analysis of the 2015 Dengue Outbreak in the Metropolitan Region of Tainan City, Taiwan.Social determinants, their relationship with leprosy risk and temporal trends in a tri-border region in Latin America.Exploring spatially varying relationships between children's lead poisoning and environmental factors.Use of geographically weighted logistic regression to quantify spatial variation in the environmental and sociodemographic drivers of leptospirosis in Fiji: a modelling study.An Ecological Study on the Spatially Varying Relationship between County-Level Suicide Rates and Altitude in the United States.Rainfall-Altitude Relationship in Saudi Arabia
P2860
Q28656127-7E9D81CA-5B6B-43C2-B888-78C6EC82D110Q28656161-9A3CBB76-3592-4B83-9C4F-82B8D616CAA7Q28656188-E7A21900-FCCB-4BD4-82AF-3B15FCEBFEF7Q28661113-CEBAE013-08BA-451C-B9B2-930A586B703EQ30862635-06646B26-8791-4BD6-8455-A3A6F7E71A02Q33600881-43FF3619-908A-41BA-AC3E-7F546822C9EBQ33742343-A4F5434A-9A80-44ED-B9B1-AD08884F0892Q34410608-882924C6-9291-4FBD-9ED3-D9E8814E8630Q35108591-1E076D90-775A-4584-82D8-908F17DE3443Q35767961-668217E3-3CAF-4C82-803F-F58D24948902Q36157349-F5B87725-D3F1-4B29-8629-66FFFD70F539Q36318431-4B438016-F286-48CA-A0E1-0DAE7D2D586CQ36688175-41F8122F-E3FA-422E-83EA-415C1C129E75Q36826216-14785FAF-33BB-418B-AB28-5E9888B1BAE5Q38366682-C3A8DCD8-42BC-484F-817A-7A22118DC3DAQ40144548-98C1407C-4CF2-499D-8A65-162739C623C4Q45618856-81F0D908-DA20-4F5E-8C91-3F49ADDC9E3DQ47103475-DF4E7A75-2179-4BB3-A556-CD8EE8581317Q48181208-FBF1BCAC-AB97-42DD-BD71-8237F1FAA53CQ50751621-333A212E-F882-4620-B3D0-8A6F8418156FQ51784584-FE088AD6-BB7E-4ECE-801F-7A4DDF236A4BQ52602662-1EDC1814-F7E4-47AD-A000-4B3515413302Q53099620-AAA81215-F4C7-467E-AA13-CDFBE42616F5Q54225011-CB8EFF2E-DA29-42FE-8787-AEAAE1E6D21AQ54673360-743091DF-4863-4E9A-9F45-8C48903FB9BDQ58918178-ABEF59AE-D1A0-4FAE-9230-7F6E8237305B
P2860
Using geographically weighted regression (GWR) to explore spatial varying relationships of immature mosquitoes and human densities with the incidence of dengue
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Using geographically weighted ...... s with the incidence of dengue
@ast
Using geographically weighted ...... s with the incidence of dengue
@en
type
label
Using geographically weighted ...... s with the incidence of dengue
@ast
Using geographically weighted ...... s with the incidence of dengue
@en
prefLabel
Using geographically weighted ...... s with the incidence of dengue
@ast
Using geographically weighted ...... s with the incidence of dengue
@en
P2860
P356
P1476
Using geographically weighted ...... s with the incidence of dengue
@en
P2093
Chia-Hsien Lin
Tzai-Hung Wen
P2860
P304
P356
10.3390/IJERPH8072798
P577
2011-07-06T00:00:00Z