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Analysis of Spatiotemporal Transmission Characteristics of African Swine Fever (ASF) in Mainland China
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-0258(19960415)15:7/9<887::aid-sim257>3.0.co;2-eopenalex-snapshot
THE SPATIAL AUTOCORRELATION COEFFICIENT MORAN'S I UNDER HETEROSCEDASTICITY
inferredcites →https://doi.org/10.1007/978-3-642-01976-0_10openalex-snapshot
The Analysis of Spatial Association by Use of Distance Statistics
inferredcites →https://doi.org/10.1016/j.prevetmed.2019.104861openalex-snapshot
African swine fever emerging in China: Distribution characteristics and high-risk areas
inferredcites →https://doi.org/10.1016/j.prevetmed.2022.105794openalex-snapshot
Identification of suitable areas for African swine fever occurrence in china using geographic information system-based multi-criteria analysis
inferredcites →https://doi.org/10.1016/s0167-5877(99)00005-7openalex-snapshot
Spatial diffusion of raccoon rabies in Pennsylvania, USA
inferredcites →https://doi.org/10.1038/s41598-021-81329-xopenalex-snapshot
Spatiotemporal clustering and Random Forest models to identify risk factors of African swine fever outbreak in Romania in 2018–2019
inferredcites →https://doi.org/10.1038/sj.ejhg.5201382openalex-snapshot
Genetic stratification of pathogen-response-related and other variants within a homogeneous Caucasian Irish population
inferredcites →https://doi.org/10.1080/02693799008941549openalex-snapshot
Kriging: a method of interpolation for geographical information systems
inferredcites →https://doi.org/10.1080/13658810600911903openalex-snapshot
Global and local spatial indices of urban segregation
inferredcites →https://doi.org/10.1089/153036602321131878openalex-snapshot
Spatiotemporal Analysis of Epizootic Raccoon Rabies Propagation in Connecticut, 1991–1995
inferredcites →https://doi.org/10.1093/oxfordjournals.aje.a009247openalex-snapshot
Breast Cancer Clusters in the Northeast United States: A Geographic Analysis
inferredcites →https://doi.org/10.1093/oxfordjournals.epirev.a017993openalex-snapshot
Spatial Analytical Methods and Geographic Information Systems: Use in Health Research and Epidemiology
inferredcites →https://doi.org/10.1111/j.1538-4632.1995.tb00338.xopenalex-snapshot
Local Indicators of Spatial Association—LISA
inferredcites →https://doi.org/10.1111/tbed.12989openalex-snapshot
Emergence of African Swine Fever in China, 2018
inferredcites →https://doi.org/10.1126/science.361.6404.741openalex-snapshot
Arrival of deadly pig disease could spell disaster for China
inferredcites →https://doi.org/10.1186/s12879-017-2742-9openalex-snapshot
Spatio-temporal clustering analysis and its determinants of hand, foot and mouth disease in Hunan, China, 2009–2015
inferredcites →https://doi.org/10.1186/s40249-016-0135-8openalex-snapshot
Spatial patterns and secular trends in human leishmaniasis incidence in Morocco between 2003 and 2013
inferredcites →https://doi.org/10.2307/2574118openalex-snapshot
A Probability Model for the Measurement of Ecological Segregation
inferredcites →https://doi.org/10.2307/353438openalex-snapshot
Predicting Marital Happiness and Stability from Newlywed Interactions
inferredcites →https://doi.org/10.2478/acve-2020-0014openalex-snapshot
Spatio-Temporal Analysis of the Spread of ASF in the Russian Federation in 2017-2019
inferredcites →https://doi.org/10.3201/eid2404.171238openalex-snapshot
African Swine Fever Virus, Siberia, Russia, 2017
inferredcites →https://doi.org/10.3201/eid2504.172121openalex-snapshot
Spatial Dynamics of Chikungunya Virus, Venezuela, 2014
inferredcites →https://doi.org/10.3389/fvets.2021.723081openalex-snapshot
African Swine Fever in the Russian Far East (2019–2020): Spatio-Temporal Analysis and Implications for Wild Ungulates
inferredcites →https://doi.org/10.3390/ijerph19138001openalex-snapshot
Temporal and Spatial Evolution of the African Swine Fever Epidemic in Vietnam
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.jhazmat.2024.133940openalex-snapshot
From "resistance genes expression" to "horizontal migration" as well as over secretion of Extracellular Polymeric Substances: Sludge microorganism’s response to the increasing of long-term disinfectant stress
inferred← citeshttps://doi.org/10.1016/j.prevetmed.2025.106495openalex-snapshot
Spatiotemporal patterns and risk factors for African swine fever-affected smallholder pig farms in Davao Region, Southern Philippines
inferred← citeshttps://doi.org/10.1016/j.prevetmed.2025.106683openalex-snapshot
Insights into the epidemiological characteristics, temporal changepoints, and space-time clusters of foot and mouth disease outbreaks in the SEACFMD region to support eradication efforts
inferred← citeshttps://doi.org/10.1186/s44149-026-00272-4openalex-snapshot
Understanding the spread of African swine fever in Nepal: spatiotemporal analysis of early-phase outbreaks, March 2022–July 2024
inferred← citeshttps://doi.org/10.3390/agriculture13020497openalex-snapshot
Impact of African Swine Fever Epidemic on the Cost Intensity of Pork Production in China
inferred← citeshttps://doi.org/10.3390/agriculture16161705openalex-snapshot
Weak or Strong Porter Effect? County-Level Evidence from China’s Prohibited Breeding Zone Policy in the Yangtze River Basin
inferred← citeshttps://doi.org/10.3390/ani14192814openalex-snapshot
Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease
inferred← citeshttps://doi.org/10.3390/tropicalmed11080228openalex-snapshot
Modelling African Swine Fever Transmission and Epidemiology: A Scoping Review of Mechanistic, Statistical, and Machine Learning Approaches
inferred← citeshttps://doi.org/10.4142/jvs.24307openalex-snapshot
Spatial Cluster Analysis and Key Influencing Factors of African Swine Fever in China (2018–2021)
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