A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring

Takahashi, Kunihiko; Kulldorff, Martin; Tango, Toshiro; Yih, Katherine

doi:10.1186/1476-072x-7-14

Cited by 148 publications

(126 citation statements)

References 27 publications

(35 reference statements)

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“…Spatial scan statistics and Anselin's Moran I are widely used to detect spatial cluster for infectious disease (18,19). The strength of the scan statistic is that it can detect clusters over space and time.…”

Section: Discussionmentioning

confidence: 99%

Spatial Clustering of Severe Hand-Foot-Mouth Disease Cases on Hainan Island, China

Chen

Qiu

et al. 2017

Jpn J Infect Dis

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Section: Discussionmentioning

confidence: 99%

Spatial Clustering of Severe Hand-Foot-Mouth Disease Cases on Hainan Island, China

Chen

Qiu

et al. 2017

Jpn J Infect Dis

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“…Additionally, the spatiotemporal method used here has the limitation of detecting clusters in a defined cylindrical or ellipsoidal window, including potential bias as the distribution of salmon farms follows a shoreline or linear arrangement. Although methods for the detection of flexible clusters have been described elsewhere (Takahashi et al 2008), software to apply such methods to detection of time-space clusters are yet to be developed.…”

Section: Discussionmentioning

confidence: 99%

Epidemiologic investigation of the re-emergence of infectious salmon anemia virus in Chile

Mardones¹,

Pérez²,

Carpenter³

2009

Dis. Aquat. Org.

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Reports from surveillance activities were analyzed to determine the epidemiology of the re-emergence of infectious salmon anemia virus (ISAV) in Atlantic salmon farms in Chile. The epidemic and spatial and spatiotemporal patterns were described, taking into account commercial compartmentalization of the farms. During the 64 wk study period, 76 ISAV-infected salmon farms, representing 17 companies, were reported in 65% of the management geographic zones of the 10th region in southern Chile. Approximately 20% of the farms at risk became infected, with the incidence rate increasing slightly over time. Results from epidemic analyses and observed spatial and spatiotemporal patterns suggested an initial dispersal and subsequent clustering of cases around the index case (IC) in a propagated epidemic mode. Results suggested that delayed depopulation may have been a key factor in the spread and persistence of ISAV. Clustering of cases supported the assumption that passive transmission in seawater from ISAV-infected farms (proximity) is a critical factor in controlling disease. The re-emergence of ISAV in Chile has resulted in one of the largest ISAV epidemics reported in the world and this study generates new hypotheses and provides useful information for spatial disease control planning in salmon farming areas.

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“…STAC is widely used as a crime analysis tool in CrimeStat, inside which the search window is swept over the research area to determine if a sub-area can be classified into a hot spot based on the number of crime events within the sub-area. There are many types of shapes that can be defined as a search window [46,47]. In this research, a quadrate search window with cells of equal size in the near-repeat matrix is used to establish the matrix.…”

Section: Temporal Expanded Near-repeat Matrixmentioning

confidence: 99%

Analysis of Burglary Hot Spots and Near-Repeat Victimization in a Large Chinese City

Wang

Liu

2017

IJGI

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Abstract:A hot spot refers to numerous crime incidents clustered in a limited space-time range. The near-repeat phenomenon suggests that every victimization might form a contagion-like pattern nearby in terms of both space and time. In this article, the near-repeat phenomenon is used to analyze the risk levels around hot spots. Utilizing a recent burglary dataset in N (a large city located in southeastern China), we examine the near-repeat phenomenon, the results of which we then use to test the contributions of hot spots. More importantly, we propose a temporal expanded near-repeat matrix to quantify the undulation of risk both before and after hot spots. The experimental results demonstrate that hot spots always form. Space-time areas of high risk are always variable in space and time. Regions in the vicinity of hot spots simultaneously share this higher risk. In general, crime risks around hot spots present as a wave diffusion process. The conclusions herein provide a detailed analysis of criminal patterns, which not only advances previous results but also provides valuable research results for crime prediction and prevention.

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A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring

Cited by 148 publications

References 27 publications

Spatial Clustering of Severe Hand-Foot-Mouth Disease Cases on Hainan Island, China

Spatial Clustering of Severe Hand-Foot-Mouth Disease Cases on Hainan Island, China

Epidemiologic investigation of the re-emergence of infectious salmon anemia virus in Chile

Analysis of Burglary Hot Spots and Near-Repeat Victimization in a Large Chinese City

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