scholarly journals Estimating the population at-risk of homelessness in small areas, 2016

2021 ◽  
Author(s):  
Deborah Batterham ◽  
Christian A. Nygaard ◽  
Margaret Reynolds ◽  
Jacqueline de Vries
2021 ◽  
Author(s):  
Deb Batterham ◽  
Christian Nygaard ◽  
margaret reynolds ◽  
Jacqueline De Vries

This research produces Small Area Estimates (SAE) of the population at-risk of homelessness in Australia. The incidence of homelessness risk is measured as a rate per 10,000 residents aged 15 years and over, at the ABS defined spatial scales Statistical Area level 2 (SA2), with a population ranging from 3,000 to 25,000 persons, and Statistical Area level 3 (SA3), which are an aggregation of SA2s and have a population ranging from 30,000 to 130,000.


2018 ◽  
pp. 1
Author(s):  
Mur Prasetyaningrum ◽  
Z. Chomariyah ◽  
Trisno Agung Wibowo

Tujuan: Studi ini untuk mengetahui gambaran KLB keracunan pangan yang terjadi di desa Mulo menurut deskripsi epidemiologi, faktor risiko dan penyebab KLB keracunan makanan. Metode: Studi ini menggunakan studi analitik case control, dimana kasus adalah orang yang mengalami sakit pada tanggal 7 - 8 Mei 2017, tinggal di desa Mulo dan mengkonsumsi makanan olahan dari bapak S dan K. Instrument menggunakan kuesioner. Hasil: KLB terjadi di Desa Mulo RT 5 dan 6 dengan jumlah kasus sebanyak 18 orang dari total population at risk 112 orang dengan gejala utama diare (100%), mual (72,2%), demam (66,6%), pusing (66,6%) dan muntah (50%). Dari diagnosa banding menurut gejala, masa inkubasi dan agent penyebab keracunan, kecurigaan kontaminasi bakteri mengarah pada E. Coli (ETEC). Masa inkubasi 1-16 jam (rata-rata 9 jam) dan common source curve. Penyaji makanan ada dua (pak K dan pak S). Dari perhitungan AR, berdasarkan sumber makanan mengarah pada makanan dari pak S (AR=42,8%). Bedasarkan menu, perhitungan OR dan CI 95 % jenis makanan yang dicurigai sebagai penyebab KLB adalah urap/gudangan (OR=4,33; p value0,0071) dan sayur lombok (OR=6,31; p value 0,0071). Sampel yang didapatkan adalah sampel air bersih, feses, dan muntahan penderita, sampel makanan tidak didapatkan karena keterlambatan informasi dari masyarakat. Hasil laboratorium, Total Coliform sampel air bersih melebihi ambang batas, sampel feses dan muntahan mengandung bakteri Klebsiella pneumonia.Simpulan: Terdapat 3 (tiga) faktor yang diduga sebagai penyebab keracunan pada warga Desa Mulo yaitu air bersih untuk mengolah makanan tercemar bakteri patogen, pengolahan makanan tidak hygienis dan penyajian makanan pada suhu ruang lebih dari 1 jam.


2020 ◽  
Vol 41 (S1) ◽  
pp. s318-s318
Author(s):  
Lisa Stancill ◽  
Lauren DiBiase ◽  
Emily Sickbert-Bennett

Background: A critical step during outbreak investigations is actively screening for additional cases to assess ongoing transmission. In the healthcare setting, one widely used method is point-prevalence screening on the whole unit where a positive patient is housed. Although this point-prevalence approach captures the “place,” it can miss the “person” and “time” elements that define the population-at-risk. Methods: At University of North Carolina (UNC) Hospitals, we used business intelligence tools to build a query that harnesses the admission, discharge, and transfer (ADT) data from the electronic medical record (EMR). Using this data identifies every patient who overlapped in time and space with a positive patient. An additional query identifies currently admitted overlap patients and their current location. During an outbreak investigation, an analyst executes these queries in the mornings when surveillance screens are scheduled. The queries generate a list of patients to screen that are prioritized on the number of days they were in the same unit with the positive patient. This overlap methodology successfully captures the person, place, and time associated with possible disease transmission. We implemented the overlap method for the last 3 months following 1 year of point-prevalence approach screening during a novel disease outbreak at UNC Hospitals. Results: In total, 4,385 unique patients overlapped with previously identified infected or colonized patients, of which 781 (17.8%) from 40 departments were screened over 15 months. During a subsequent, currently ongoing, outbreak, we are utilizing the overlap method and in 6 weeks have already screened 161 of the 1,234 overlapping patients (13%). After 3 rounds of overlap screening, we have already been able to identify 1 additional positive patient. This patient was on the same unit as patient zero 4 months prior but was readmitted to a unit that would not have received a point-prevalence screen using the standard approach. Conclusions: Surveillance screening is a time-consuming, resource-intensive effort that requires collaboration between infection prevention, clinical staff, patients, and the laboratory. By harnessing EMR ADT data, we can better target the population at risk and more efficiently utilize resources during outbreak investigations. In addition, the overlap method fills a gap in the current CDC guidelines by focusing on patients who were on the same unit with any positive patient, including those who discharged and readmitted. Most importantly, we identified an additional positive patient that would not have been detected through a point-prevalence screen, helping us prevent further disease transmission.Funding: NoneDisclosures: None


1988 ◽  
Vol 34 (1) ◽  
pp. 29-42 ◽  
Author(s):  
Gerald R. Wheeler ◽  
Rodney V. Hissong

Proponents of mandatory jail laws contend that alternative sanctions such as probation and fines have failed to modify behavior of those convicted of drunk driving (DWI). In order to test this proposition, we evaluated the effects of probation, fines, and jail sentences on DWI recidivism of a randomly selected DWI population at risk for 36 months. Utilizing survival time statistical analysis, the findings showed no significant differences in outcome among sanctions. As predicted, persons with a DWI history recidivated significantly sooner than first offenders. We conclude by advocating a policy of alternative sanctions to incarceration for drunk drivers.


2010 ◽  
Vol 86 ◽  
pp. S121
Author(s):  
Liliana Pinheiro ◽  
Angela Oliveira ◽  
Liliana Abreu ◽  
Carla Sa ◽  
Eduarda Abreu ◽  
...  

Science ◽  
2021 ◽  
Vol 372 (6541) ◽  
pp. 472.1-472
Author(s):  
Xiaoyang Wu ◽  
Qinguo Wei ◽  
Sai Deni ◽  
Honghai Zhang

1986 ◽  
Vol 94 (2) ◽  
pp. 135-181 ◽  
Author(s):  
Edward L. McDill ◽  
Gary Natriello ◽  
Aaron M. Pallas

Sign in / Sign up

Export Citation Format

Share Document