A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak Investigation

Author(s):  
Guilherme Augusto Zagatti ◽  
See-Kiong Ng ◽  
Stéphane Bressan
2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S31-S31
Author(s):  
Charles E Marvil ◽  
Anne Piantadosi ◽  
Aaron Preston ◽  
Andrew Webster ◽  
Jeannette Guarner ◽  
...  

Abstract Background Healthcare-associated transmission of SARS-CoV-2 is relatively rare and may be difficult to quantify. We performed an epidemiological investigation and SARS-CoV-2 genome sequencing to define the source and scope of a SARS-CoV-2 outbreak in a cluster of hospitalized patients Methods We conducted an outbreak investigation after identifying hospital-onset COVID-19 in patients receiving hemodialysis in January 2021. Electronic medical record review, staff interviews, review of employee schedule logs, and contact tracing were used to determine the outbreak timeline and identify exposed healthcare workers (HCW). SARS-CoV-2 genomes were sequenced from residual nasopharyngeal swab samples from 6 individuals in the outbreak investigation and compared to sequences from 14 patients in the same facility, 54 patients in nearby facilities, and 375 publicly available sequences from individuals in the state of Georgia. Results Eight patients with hospital-onset COVID-19 were identified (Cases 1-8); all were receiving hemodialysis and 5 were bedded in a single inpatient nursing unit. Among 53 potentially exposed HCW, 29 underwent testing and 5 were positive (Cases 9-13). The suspected index patient (Case 1) was found to have been coughing and inconsistently wearing a mask during a hemodialysis session on the same day that 6 of the 7 other patients and one HCW (Case 10) were in close proximity in the hemodialysis unit (Figure 1A). Further investigation revealed lack of use of curtain barriers in the hemodialysis bays, inconsistent use of personal protective equipment by HCW, and overcrowding of staff breakrooms. Among the 6 samples available for phylogenetic analysis, SARS-CoV-2 sequences from 5 (4 patients and 1 HCW, Case 9) were identical and at least 4 SNPs removed from the next closest sequence in this study, supporting a transmission cluster (Figure 1B). The sequence from the sixth sample (HCW Case 10) was phylogenetically distinct, indicating an independent source of infection. Figure 1 Exposure and onset of symptoms for the 6 cases in the outbreak with samples available for SARS-CoV-2 sequencing. Four patients with hospital-onset COVID-19 (Cases 1-4) were receiving hemodialysis and bedded in a single inpatient nursing unit, with two exposed healthcare workers (Cases 9-10). (A). Phylogenetic tree of SARS-CoV-2 genomes from individuals in this outbreak investigation (red), as well as 14 patients in the same facility and 54 patients in nearby facilities between 12/12/2020 and 1/13/2021 (blue). These were aligned with 375 publicly available sequences from individuals in the state of Georgia from the same time period using MAFFT. A maximum-likelihood phylogenetic tree was generated under a generalized time-reversible model with 1,000 bootstrap replicates using IQtree v2.0.3 and visualized and annotated using Interactive Tree of Life (iTOL) v4 (B). Conclusion Lack of appropriate respiratory hygiene led to SARS-CoV-2 transmission during a single hemodialysis session, based on clinical and genomic epidemiology. Use of appropriate PPE for both patients and HCW and other infection prevention measures are critical to prevent SARS-CoV-2 transmission. Disclosures All Authors: No reported disclosures


2011 ◽  
Vol 2 (3) ◽  
pp. e1-e1 ◽  
Author(s):  
Frank H Beard ◽  
Lucinda J Franklin ◽  
Steven D Donohue ◽  
Rodney J Moran ◽  
Stephen B Lambert ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Eposi C. Haddison ◽  
Randolph A. Ngwafor ◽  
Benjamin M. Kagina

Background: Measles remains a threat in many African settings due to sub-optimal routine immunisation and catchup campaigns. The Global Vaccine Action Plan goal to eliminate measles by 2020 remains unmet as several countries reported an increase in cases in 2019. In Cameroon, a measles-rubella vaccination campaign was organised in 2019 to reduce the cohort of susceptible children. However, in 2020, eleven suspected cases of measles were notified in the Sa’a Health District and five were confirmed. Objective: This report summarizes a measles outbreak investigation and contact tracing in a highly vaccinated community residing in the Sa’a Health District of Cameroon. Methods: Outbreak investigations were carried out in the Sa’a, Nlong-Onambele and Nkolmgbana health areas from 18 to 21 February 2020. A register review from December 2019 to February 2020 was carried out in all health facilities of the affected health areas. followed by contact tracing in the community. Results: Thirty households were visited in four neighbourhoods. Six missed Epidemiologically-linked cases were discovered in the community, bringing the total number of suspected and confirmed cases to 17. Thirty-five percent of the cases had not received any measles-containing vaccine; 35% of the cases were aged 5 years or older; 53% had history of travel. Community transmission only occurred in the Sa’a health area through a breakthrough case. Conclusions: This outbreak investigation portrayed the role that adequate vaccination coverage plays in preventing widespread outbreaks. Nonetheless, community sensitisation and routine immunisation require strengthening in order to erase pockets of susceptible children.


KURVATEK ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 63-69
Author(s):  
Siti Jamilah Tarigan ◽  
Wing Wahyu Winarno ◽  
Henderi Safei
Keyword(s):  

Pengambilan keputusan dan perencanaan bidang akademik sering kali tidak berdasarkan pada informasi yang lengkap. Jajaran pengambil keputusan (rektorat atau tingkat eksekutif) hanya bisa melihat sebuah data dalam satu dimensi. Pengambil keputusan akan lebih baik jika informasi dapat disajikan dari berbagai dimensi. Perguruan tinggi telah memiliki data operasional yang lengkap dari kegiatan akademik, kepegawaian, dan penerimaan mahasiswa yang telah dikumpulkan lebih dari 4 tahun. Data warehouse adalah suatu koleksi optimasi database untuk mendukung keputusan. Konsep ini mengintegrasikan antara sistem lama dan sistem baru sehingga tidak terjadi duplikasi data. Data yang telah diintegrasikan dapat diolah dalam berbagai bentuk laporan sesuai dengan kebutuhan.Tujuan dari penelitian ini adalah bagaimana data yang ada bisa menghasilkan informasi yang akurat dan multidimensi sehingga pengambilan keputusan lebih cepat dan akurat. Penelitian ini menggunakan analisis data OLAP, dan skema bintang. Kesimpulan dari penelitian ini adalah rancangan yang dihasilkan bisa membantu pihak akademik dalam membuat keputusan berdasarkan data dan informasi yang mulitidimensi.


2014 ◽  
Vol 3 (4) ◽  
pp. 219 ◽  
Author(s):  
Suguna Dumpala ◽  
Nagaraj Kondagunta ◽  
VarunMohan Malhotra ◽  
GuruPrasad Venna ◽  
KishoreYadav Jothula

Sign in / Sign up

Export Citation Format

Share Document