scholarly journals Detection of sparse mixtures: higher criticism and scan statistic

2019 ◽  
Vol 13 (1) ◽  
pp. 208-230 ◽  
Author(s):  
Ery Arias-Castro ◽  
Andrew Ying
Author(s):  
Kinley Wangdi ◽  
Kinley Penjor ◽  
Tobgyal ◽  
Saranath Lawpoolsri ◽  
Ric N. Price ◽  
...  

Malaria in Bhutan has fallen significantly over the last decade. As Bhutan attempts to eliminate malaria in 2022, this study aimed to characterize the space–time clustering of malaria from 2010 to 2019. Malaria data were obtained from the Bhutan Vector-Borne Disease Control Program data repository. Spatial and space–time cluster analyses of Plasmodium falciparum and Plasmodium vivax cases were conducted at the sub-district level from 2010 to 2019 using Kulldorff’s space–time scan statistic. A total of 768 confirmed malaria cases, including 454 (59%) P. vivax cases, were reported in Bhutan during the study period. Significant temporal clusters of cases caused by both species were identified between April and September. The most likely spatial clusters were detected in the central part of Bhutan throughout the study period. The most likely space–time cluster was in Sarpang District and neighboring districts between January 2010 to June 2012 for cases of infection with both species. The most likely cluster for P. falciparum infection had a radius of 50.4 km and included 26 sub-districts with a relative risk (RR) of 32.7. The most likely cluster for P. vivax infection had a radius of 33.6 km with 11 sub-districts and RR of 27.7. Three secondary space–time clusters were detected in other parts of Bhutan. Spatial and space–time cluster analysis identified high-risk areas and periods for both P. vivax and P. falciparum malaria. Both malaria types showed significant spatial and spatiotemporal variations. Operational research to understand the drivers of residual transmission in hotspot sub-districts will help to overcome the final challenges of malaria elimination in Bhutan.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicolás Rosillo ◽  
Javier Del-Águila-Mejía ◽  
Ayelén Rojas-Benedicto ◽  
María Guerrero-Vadillo ◽  
Marina Peñuelas ◽  
...  

Abstract Background On June 21st de-escalation measures and state-of-alarm ended in Spain after the COVID-19 first wave. New surveillance and control strategy was set up to detect emerging outbreaks. Aim To detect and describe the evolution of COVID-19 clusters and cases during the 2020 summer in Spain. Methods A near-real time surveillance system to detect active clusters of COVID-19 was developed based on Kulldorf’s prospective space-time scan statistic (STSS) to detect daily emerging active clusters. Results Analyses were performed daily during the summer 2020 (June 21st – August 31st) in Spain, showing an increase of active clusters and municipalities affected. Spread happened in the study period from a few, low-cases, regional-located clusters in June to a nationwide distribution of bigger clusters encompassing a higher average number of municipalities and total cases by end-August. Conclusion STSS-based surveillance of COVID-19 can be of utility in a low-incidence scenario to help tackle emerging outbreaks that could potentially drive a widespread transmission. If that happens, spatial trends and disease distribution can be followed with this method. Finally, cluster aggregation in space and time, as observed in our results, could suggest the occurrence of community transmission.


Author(s):  
Kristina M Post ◽  
David A Smith ◽  
John W Burns ◽  
Laura S Porter ◽  
Francis J Keefe

Abstract Background Depression and marital discord are characteristic not only of individuals with chronic low back pain (ICPs) but also of their spouses. Purpose We examined actor–partner interdependence models to evaluate associations among depressed affect and criticism and support of partners at the same time point (concurrent effects) and 3 hr later (lagged effects). Fully dyadic models were used to account for both within-person and cross-spouse associations among depressed affect, criticism, and support for ICPs and spouses. We also examined the direction of the relationships (depressed affect predicting behavior and behavior predicting depressed affect) all while controlling for pain intensity, pain behavior, and the prior dependent variable. Methods ICPs (n = 105) and their spouses completed electronic diary measures of depressed affect and behavior (criticism and support) five times a day for 2 weeks. Hierarchical linear modeling with person-mean centering was used for data analysis. Results Within the same 3 hr epoch, more depressed affect was related to higher criticism and generally less support. Lagged analyses suggested bidirectional relationships between spouse’s own depressed affect and spouse’s own criticism of ICPs. Spouse depressed affect was also associated with decreased support received from ICPs. Pain behavior and pain intensity were also related to depressed affect, criticism, and support especially concurrently. Conclusions Theories and interventions need to address not only ICP depressed affect but also spouse depressed affect, as spouse depressed affect may be a stress generating precursor to criticism and support.


Sign in / Sign up

Export Citation Format

Share Document