scholarly article | Q13442814 |
P50 | author | Farzad Mostashari | Q5436575 |
Martin Kulldorff | Q43862528 | ||
P2093 | author name string | James R Miller | |
Jessica J Hartman | |||
Varuni Kulasekera | |||
P2860 | cites work | Epidemic West Nile encephalitis, New York, 1999: results of a household-based seroepidemiological survey | Q24570061 |
West Nile Virus Infection in Mosquitoes, Birds, Horses, and Humans, Staten Island, New York, 2000 | Q27487799 | ||
Dead Crow Densities and Human Cases of West Nile Virus, New York State, 2000 | Q27487806 | ||
Clinical Findings of West Nile Virus Infection in Hospitalized Patients, New York and New Jersey, 2000 | Q27487807 | ||
West Nile Virus Infection in Birds and Mosquitoes, New York State, 2000 | Q27487817 | ||
The outbreak of West Nile virus infection in the New York City area in 1999 | Q29618175 | ||
Geographical distribution of variant Creutzfeldt-Jakob disease in Great Britain, 1994-2000. | Q38954964 | ||
West Nile virus infection in birds and mammals. | Q40589968 | ||
Geographical clustering of mortality from systemic sclerosis in the Southeastern United States, 1981-90. | Q44967575 | ||
Breast cancer clusters in the northeast United States: a geographic analysis | Q73528853 | ||
P4510 | describes a project that uses | SQL | Q47607 |
P433 | issue | 6 | |
P921 | main subject | West Nile virus | Q158856 |
P304 | page(s) | 641-646 | |
P577 | publication date | 2003-06-01 | |
P1433 | published in | Emerging Infectious Diseases | Q5235761 |
P1476 | title | Dead bird clusters as an early warning system for West Nile virus activity | |
P478 | volume | 9 |
Q28768539 | A GIS-driven integrated real-time surveillance pilot system for national West Nile virus dead bird surveillance in Canada |
Q37729580 | A comparison of least squares regression and geographically weighted regression modeling of West Nile virus risk based on environmental parameters |
Q36671970 | A framework for evaluating animals as sentinels for infectious disease surveillance |
Q28661199 | A qualitative study of state-level zoonotic disease surveillance in new England |
Q24804384 | A space-time permutation scan statistic for disease outbreak detection |
Q51822053 | An elliptic spatial scan statistic. |
Q37214441 | An empirical comparison of spatial scan statistics for outbreak detection. |
Q45204388 | Analysis of geographical clustering of birth defects in Heshun county, Shanxi province. |
Q24623783 | Animals as sentinels of bioterrorism agents |
Q33887460 | Automated use of WHONET and SaTScan to detect outbreaks of Shigella spp. using antimicrobial resistance phenotypes |
Q27477555 | Avian GIS models signal human risk for West Nile virus in Mississippi |
Q40485132 | Bird-baited traps for surveillance of West Nile mosquito vectors: effect of bird species, trap height, and mosquito escape rates |
Q26999297 | Bringing together emerging and endemic zoonoses surveillance: shared challenges and a common solution |
Q34424182 | Clinical, epidemiological, and spatial characteristics of Vibrio parahaemolyticus diarrhea and cholera in the urban slums of Kolkata, India |
Q57092690 | Comparative Vector Competence of North American and for African and European Lineage 2 West Nile Viruses |
Q36148021 | Comparison of enzootic risk measures for predicting West Nile disease, Los Angeles, California, USA, 2004-2010. |
Q35122020 | Comparison of the efficiency and cost of West Nile virus surveillance methods in California |
Q35847362 | Dead crow density and West Nile virus monitoring, New York |
Q55311960 | Delineating West Nile Virus Transmission Cycles at Various Scales: The Nearest Neighbor Distance-Time Model. |
Q28656288 | Dengue fever occurrence and vector detection by larval survey, ovitrap and MosquiTRAP: a space-time clusters analysis |
Q58727324 | Detecting spatial clusters of HIV and hepatitis coinfections |
Q33345618 | Diagnostic investigation of emerging viruses of companion animals |
Q28389002 | Diarrheal illness detected through syndromic surveillance after a massive power outage: New York City, August 2003 |
Q39113909 | Early detection of West Nile virus in France: quantitative assessment of syndromic surveillance system using nervous signs in horses |
Q41681646 | Early detection of emerging zoonotic diseases with animal morbidity and mortality monitoring. |
Q36053662 | Early warning system for West Nile virus risk areas, California, USA. |
Q38938542 | Economic Assessment of Zoonoses Surveillance in a 'One Health' Context: A Conceptual Framework |
Q56669647 | Effective surveillance systems for vector-borne diseases in urban settings and translation of the data into action: a scoping review |
Q37249138 | Emerging viral zoonoses: frameworks for spatial and spatiotemporal risk assessment and resource planning |
Q36274232 | Enhanced drop-in syndromic surveillance in New York City following September 11, 2001 |
Q35961335 | Envelope and pre-membrane protein structural amino acid mutations mediate diminished avian growth and virulence of a Mexican West Nile virus isolate |
Q40319339 | Environmental and ecological determinants of West Nile virus occurrence in horses in North Dakota, 2002. |
Q24806816 | Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area, 2002 |
Q40428835 | Environmental predictors of human West Nile virus infections, Colorado |
Q36791114 | EpiScanGIS: an online geographic surveillance system for meningococcal disease |
Q40275504 | Epidemiological perspectives on West Nile virus surveillance in wild birds in Great Britain. |
Q35083005 | Evaluating the utility of syndromic surveillance algorithms for screening to detect potentially clonal hospital infection outbreaks |
Q36945193 | Evaluation of a Multivariate Syndromic Surveillance System for West Nile Virus |
Q40482941 | Evaluation of antigen-capture ELISA and immunohistochemical methods for avian surveillance of West Nile virus. |
Q39642385 | Evaluation of the Control of West Nile Virus in Ontario: Did Risk Patterns Change from 2005 to 2012? |
Q37393930 | Exploring the spatio-temporal dynamics of reservoir hosts, vectors, and human hosts of West Nile virus: a review of the recent literature |
Q42285586 | Fast subset scan for multivariate event detection. |
Q36617139 | Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication |
Q36407797 | Finding leading indicators for disease outbreaks: filtering, cross-correlation, and caveats |
Q34066102 | Geographic Information Systems |
Q41840402 | Hand, foot and mouth disease: spatiotemporal transmission and climate. |
Q28393443 | Human and animal sentinels for shared health risks |
Q39681411 | Identification of suitable areas for West Nile virus outbreaks in equid populations for application in surveillance plans: the example of the Castile and Leon region of Spain. |
Q37336507 | Identifying clusters of active transportation using spatial scan statistics. |
Q43313861 | Identifying high-risk areas of schistosomiasis and associated risk factors in the Poyang Lake region, China. |
Q40311354 | Impact of Vi vaccination on spatial patterns of typhoid fever in the slums of Kolkata, India |
Q34460875 | Influence of spatial resolution on space-time disease cluster detection |
Q27478409 | Investigating the spatial risk distribution of West Nile virus disease in birds and humans in southern Ontario from 2002 to 2005 |
Q30230161 | Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs |
Q27488366 | Linkages between animal and human health sentinel data |
Q43036454 | Monitoring of Usutu virus activity and spread by using dead bird surveillance in Austria, 2003-2005. |
Q44501317 | Nonparametric spatial analysis to detect high-risk regions for schistosomiasis in Guichi, China |
Q33555122 | On the effect of diagnostic misclassification bias on the observed spatial pattern in regional count data--a case study using West Nile virus mortality data from Ontario, 2005 |
Q54233757 | Overwintering of West Nile virus in a bird community with a communal crow roost. |
Q30364523 | Pre-spillover prevention of emerging zoonotic diseases: what are the targets and what are the tools? |
Q27487329 | Predictive spatial models for risk of West Nile virus exposure in eastern and western Colorado |
Q30230250 | Public health preparedness of health providers: meeting the needs of diverse, rural communities |
Q34447560 | Remote sensing of climatic anomalies and West Nile virus incidence in the northern Great Plains of the United States |
Q35849952 | Satellite Hyperspectral Imagery to Support Tick-Borne Infectious Diseases Surveillance |
Q58595376 | Simulation of Legionnaires' disease prospective spatiotemporal cluster detection, Allegheny County, Pennsylvania, USA |
Q35872924 | Space-time cluster analysis of invasive meningococcal disease |
Q33264226 | Space-time clustering of childhood malaria at the household level: a dynamic cohort in a Mali village |
Q56777657 | Space–time patterns during the establishment of a nonindigenous species |
Q57195317 | Spatial analysis of pallid sturgeonScaphirhynchus albusdistribution in the Missouri River, South Dakota |
Q35753596 | Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates |
Q34587958 | Spatial clustering of HIV prevalence in Atlanta, Georgia and population characteristics associated with case concentrations |
Q38922267 | Spatial clustering of malaria and associated risk factors during an epidemic in a highland area of western Kenya |
Q33898411 | Spatial distribution and cluster analysis of sexual risk behaviors reported by young men in Kisumu, Kenya |
Q28758891 | Spatial epidemiology of an H3N2 swine influenza outbreak |
Q34330951 | Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh |
Q36669131 | Spatial patterns of malaria reported deaths in Yunnan Province, China |
Q58689809 | Spatially Explicit Nonlinear Models for Explaining the Occurrence of Infectious Zoonotic Diseases |
Q30672153 | Spatio-temporal analysis of Salmonella surveillance data in Thailand. |
Q36744603 | Spatio-temporal analysis of malaria within a transmission season in Bandiagara, Mali |
Q27489024 | Spatio-temporal cluster analysis of county-based human West Nile virus incidence in the continental United States |
Q37393965 | Spatio-temporal epidemiology of human West Nile virus disease in South Dakota |
Q30152139 | Spatiotemporal Co-occurrence of Flanders and West Nile Viruses Within Culex Populations in Shelby County, Tennessee |
Q34301380 | Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China |
Q36023645 | Spatiotemporal analysis of invasive meningococcal disease, Germany |
Q91901508 | Surveillance for Newly Emerging Viruses |
Q35877356 | Surveillance for West Nile virus in American white pelicans, Montana, USA, 2006-2007 |
Q38263562 | Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations. |
Q90698259 | Temporal Variations in the Distribution of West Nile Virus Within the United States; 2000-2008 |
Q40311422 | Temporal and spatial patterns of West Nile virus transmission in Saginaw County, Michigan, 2003-2006. |
Q90208808 | Temporal patterns and space-time cluster analysis of foot-and-mouth disease (FMD) cases from 2007 to 2017 in Vietnam |
Q21142739 | The cultural dynamics of copycat suicide |
Q39828119 | The relationship between equine and human West Nile virus disease occurrence. |
Q33992228 | The spatial-temporal clustering of Plasmodium falciparum infection over eleven years in Gezira State, The Sudan |
Q54472811 | The use of outbreak information in the interpretation of clustering of reported cases of Escherichia coli O157 in space and time in Alberta, Canada, 2000-2002. |
Q44717402 | The use of randomization tests to assess the degree of similarity in PFGE patterns of E. coli O157 isolates from known outbreaks and statistical space-time clusters. |
Q31160578 | Tracking the spatial diffusion of influenza and norovirus using telehealth data: a spatiotemporal analysis of syndromic data |
Q33234008 | Using Ontario's "Telehealth" health telephone helpline as an early-warning system: a study protocol |
Q27482093 | Using geographic information systems and spatial and space-time scan statistics for a population-based risk analysis of the 2002 equine West Nile epidemic in six contiguous regions of Texas |
Q51589433 | Vector host-feeding preferences drive transmission of multi-host pathogens: West Nile virus as a model system. |
Q40380509 | West Nile virus detection in nonvascular feathers from avian carcasses |
Q37434776 | West Nile virus state of the art report of MALWEST Project |
Q42050859 | West Nile virus, Guadeloupe |
Q35625021 | West Nile virus: epidemiology and ecology in North America |
Q38743324 | Will integrated surveillance systems for vectors and vector-borne diseases be the future of controlling vector-borne diseases? A practical example from China |
Search more.