scholarly journals Salmonella Mississippi infections in Tasmania: the role of native Australian animals and untreated drinking water

2006 ◽  
Vol 134 (6) ◽  
pp. 1257-1265 ◽  
Author(s):  
R. ASHBOLT ◽  
M. D. KIRK

Salmonella Mississippi infections are very common in Australia's island state – Tasmania – with an annual rate of 17 cases/100000 population. A case-control study conducted during 2001–2002 found single variable associations with indirect exposure to many native animal species, untreated drinking water, travelling within the state, hand–mouth behaviours and contact with pet faeces. No associations were detected with farm animal or pet species or with any food. Indirect contact with native birds, untreated drinking water and travel within the state remained significant predictors of infection in the final model with population attributable fractions of 0·57 and 0·54 for native animals and untreated drinking water respectively. In Tasmania, Australian wildlife species are the likely reservoir for S. Mississippi, contaminating land and water environments. To decrease infection rates requires treatment of water supplies, particularly private rainwater collection systems and advising people to wash their hands after being outdoors and prior to eating.

2016 ◽  
Vol 12 (3) ◽  
pp. 422
Author(s):  
Izzatin Kamala

The Decision of Constitutional Court No.85/PUU-XI/2013 (The Decision of CC 2013) has canceled Law No. 7 Year 2004 on Water Resources (Law on WR 2014). The cancellation is a new hope for improving the management of water resources. During the implementation of Law WR 2004, there is mismanagement in the provision of drinking water. This paper has two focus issues, namely: first, how the low responsibility of the state for managing water resources impacts the fulfillment of drinking water for the citizens? Second, how are the improvements of water resources management expected to be realized through the Decision of CC 2013? From the discussion, the author has two conclusions. First, the negligence of the state caused that the role of the state in providing drinking water for the citizens was  lost by the role of private sector. For example, a year before judicial review (2012), the number of consumers of drinking water supplied by the national sector in in the counting unit of household level is only the part of 11.79 percent. The number was lost by the supply of private sector covering 38.85 percent of households nationally. Second, the Decision of CC 2013 brings a new hope. Some basic thought are the improvement of state’s responsibility for managing water resources, termination  on the private’s monopoly and termination on commercialization of water value.


2014 ◽  
Vol 143 (5) ◽  
pp. 1020-1028 ◽  
Author(s):  
W. X. YAN ◽  
Y. DAI ◽  
Y. J. ZHOU ◽  
H. LIU ◽  
S. G. DUAN ◽  
...  

SUMMARYTo determine risk factors for sporadicVibrio parahaemolyticusgastroenteritis, we conducted a population-based case-control study in sentinel hospital surveillance areas of Shanghai and Jiangsu province, China. Seventy-one patients with diarrhoea and confirmedV. parahaemolyticusinfections were enrolled, and they were matched with 142 controls for gender, age and residential area. From the multivariable analysis,V. parahaemolyticusinfections were associated with antibiotics taken during the 4 weeks prior to illness [odds ratio (OR) 8·1, 95% confidence interval (CI) 1·2–56·4)], frequent eating out (OR 3·3, 95% CI 1·1–10·1), and shellfish consumption (OR 3·2, 95% CI 1·0–9·9), with population-attributable fractions of 0·09, 0·25, and 0·14, respectively. Protective factors included keeping the aquatic products refrigerated (OR 0·4, 95% CI 0·1–0·9) and pork consumption (OR 0·2, 95% CI 0·1–0·8). Further study of the association ofV. parahaemolyticusgastroenteritis with prior antibiotic use and shellfish consumption is needed.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S507-S508
Author(s):  
Jacob Bodilsen ◽  
Michael Dalager-Pedersen ◽  
Diederik van de Beek ◽  
Matthijs C Brouwer ◽  
Henrik Nielsen

Abstract Background Knowledge of risk factors for brain abscess is limited and relies on single-center cohorts without control groups. Methods We accessed nationwide medical registries to conduct a population-based nested case–control study of risk factors for brain abscess. We applied risk set sampling for selection of population controls (1:10) individually matched by age, sex, and area of residence. Conditional logistic regression was used to compute adjusted odds ratios (aOR) with 95% confidence intervals (CIs). Next, population attributable fractions were calculated. Results We identified 1,384 brain abscess patients in Denmark from 1982 through 2016 and 13,839 matched population controls. The median age was 50 years (interquartile range 33–63) and 37% were female. Cases often had a Charlson comorbidity score>2 (16%) compared with controls (3%). Adjusted ORs were: head trauma 2.15 (1.72–2.70), neurosurgery 19.3 (14.3–26.0), dental infection 4.61 (3.39–6.26) or surgery 2.57 (1.71–3.84), ear-nose-throat infection 3.81 (3.11–4.67) or surgery 2.85 (2.21–3.70), congenital heart disease 15.6 (9.57–25.4), diabetes mellitus 1.74 (1.33–2.29), alcohol abuse 2.22 (1.58–3.11), liver disease 2.37 (1.53–3.68), kidney disease 2.04 (1.30–3.20), and lung abscess or bronchiectasis 8.15 (3.59–18.5). The aORs were 4.12 (3.37–5.04) and 8.77 (5.66–13.6) for solid and hematological cancer, 12.0 (6.13–23.7) for HIV, and 5.71 (4.22–7.75) for immuno-modulating treatments. Risks were twice as high when risk factors were observed within 5 years before brain abscess. Population attributable fractions showed that neurosurgery (12%), solid cancer (11%), ear-nose-throat infections (7%) and immuno-modulating treatments (5%) were substantial contributors to occurrence of brain abscess. Conclusion Important risk factors included neurosurgery, cancer, ear-nose-throat infections and immuno-modulating treatments Disclosures All authors: No reported disclosures.


2020 ◽  
Vol 7 (12) ◽  
Author(s):  
Amanda Mocroft ◽  
Jens D Lundgren ◽  
Juergen K Rockstroh ◽  
Inka Aho ◽  
Gilles Wandeler ◽  
...  

Abstract Background The role of hepatitis C virus (HCV) coinfection and HCV-RNA in the development of diabetes mellitus (DM) in HIV-positive persons remains unclear. Methods Poisson regression was used to compare incidence rates of DM (blood glucose >11.1 mmol/L, HbA1C >6.5% or >48 mmol/mol, starting antidiabetic medicine or physician reported date of DM onset) between current HIV/HCV groups (anti-HCV-negative, spontaneously cleared HCV, chronic untreated HCV, successfully treated HCV, HCV-RNA-positive after HCV treatment). Results A total of 16 099 persons were included; at baseline 10 091 (62.7%) were HCV-Ab-negative, 722 (4.5%) were spontaneous clearers, 3614 (22.4%) were chronically infected, 912 (5.7%) had been successfully treated, and 760 (4.7%) were HCV-RNA-positive after treatment. During 136 084 person-years of follow-up (PYFU; median [interquartile range], 6.9 [3.6–13.2]), 1108 (6.9%) developed DM (crude incidence rate, 8.1/1000 PYFU; 95% CI, 7.7–8.6). After adjustment, there was no difference between the 5 HCV strata in incidence of DM (global P = .33). Hypertension (22.2%; 95% CI, 17.5%–26.2%) and body mass index >25 (22.0%; 95% CI, 10.4%–29.7%) had the largest population-attributable fractions for DM. Conclusions HCV coinfection and HCV cure were not associated with DM in this large study. The biggest modifiable risk factors were hypertension and obesity, and continued efforts to manage such comorbidities should be prioritized.


2020 ◽  
Author(s):  
Maurice O’Connell ◽  
John Ferguson

AbstractA population attributable fraction (PAF) represents the relative change in disease prevalence that one might expect if a particular exposure was absent from the population. Often, one might be interested in what percentage of this effect acts through particular pathways. For instance, the effect of excessive alcohol intake on stroke risk may be mediated by blood pressure, body mass index and several other intermediate risk factors. In this situation, attributable fractions for each mediating pathway of interest can be defined as the relative change in disease prevalence from disabling the effect of the exposure through that mediating pathway.This quantity is related to, but distinct from the recently proposed metrics of direct and indirect PAF by Sjölander. In particular, while differing pathway-specific PAF will each usually be less than total PAF, they may sum over differing mediating pathways to more than total PAF, whereas direct and indirect PAF must sum to total PAF. Here, we present definitions, identifiability conditions and estimation approaches for pathway-specific attributable fractions. We illustrate results, and comparisons to indirect PAF using INTERSTROKE, a case-control study designed to quantify disease burden attributable to a number of known causal risk factors.


2019 ◽  
Vol 71 (4) ◽  
pp. 1040-1046 ◽  
Author(s):  
Jacob Bodilsen ◽  
Michael Dalager-Pedersen ◽  
Diederik van de Beek ◽  
Matthijs C Brouwer ◽  
Henrik Nielsen

Abstract Background Knowledge on risk factors for brain abscess is limited and relies on single-center cohort studies. Methods We accessed nationwide medical registries to conduct a population-based, nested case-control study of risk factors for brain abscess. We applied risk-set sampling for the selection of population controls (1:10), who were individually matched by age, sex, and area of residence. Conditional logistic regression was used to compute adjusted odds ratios (aOR) with 95% confidence intervals (CIs). Population-attributable fractions were calculated. Results We identified 1384 brain abscess patients in Denmark from 1982 through 2016, and 13 839 matched population controls. The median age of patients was 50 years (interquartile range 33–63) and 37% were female. Cases often had Charlson comorbidity scores >2 (16%), compared with controls (3%). Our calculated aORs were 2.15 (95% CI 1.72–2.70) for head trauma; 19.3 (95% CI 14.3–26.0) for neurosurgery; 4.61 (95% CI 3.39–6.26) for dental infections; 2.57 (95% CI 1.71–3.84) for dental surgery; 3.81 (95% CI 3.11–4.67) for ear, nose, and throat infection; 2.85 (95% CI 2.21–3.70) for ear, nose, and throat surgery; 15.6 (95% CI 9.57–25.4) for congenital heart disease; 1.74 (95% CI 1.33–2.29) for diabetes mellitus; 2.22 (95% CI 1.58–3.11) for alcohol abuse; 2.37 (95% CI 1.53–3.68) for liver disease; 2.04 (95% CI 1.30–3.20) for kidney disease and 8.15 (95% CI 3.59–18.5) for lung abscess or bronchiectasis. The aORs were 4.12 (95% CI 3.37–5.04) for solid cancer; 8.77 (95% CI 5.66–13.6) for hematological cancer; 12.0 (95% CI 6.13–23.7) for human immunodeficiency virus; and 5.71 (95% CI 4.22–7.75) for immunomodulating treatments. Population-attributable fractions showed were substantial contributors to the occurrence of brain abscess neurosurgery (12%); solid cancer (11%); ear, nose, and throat infections (7%); and immunomodulating treatments (5%). Conclusions Important risk factors included neurosurgery; cancer; ear, nose, and throat infections; and immunomodulating treatments.


2015 ◽  
Vol 143 (13) ◽  
pp. 2786-2794 ◽  
Author(s):  
W. GU ◽  
A. R. VIEIRA ◽  
R. M. HOEKSTRA ◽  
P. M. GRIFFIN ◽  
D. COLE

SUMMARYTo design effective food safety programmes we need to estimate how many sporadic foodborne illnesses are caused by specific food sources based on case-control studies. Logistic regression has substantive limitations for analysing structured questionnaire data with numerous exposures and missing values. We adapted random forest to analyse data of a case-control study of Salmonella enterica serotype Enteritidis illness for source attribution. For estimation of summary population attributable fractions (PAFs) of exposures grouped into transmission routes, we devised a counterfactual estimator to predict reductions in illness associated with removing grouped exposures. For the purpose of comparison, we fitted the data using logistic regression models with stepwise forward and backward variable selection. Our results show that the forward and backward variable selection of logistic regression models were not consistent for parameter estimation, with different significant exposures identified. By contrast, the random forest model produced estimated PAFs of grouped exposures consistent in rank order with results obtained from outbreak data, with egg-related exposures having the highest estimated PAF (22·1%, 95% confidence interval 8·5–31·8). Random forest might be structurally more coherent and efficient than logistic regression models for attributing Salmonella illnesses to sources involving many causal pathways.


Sign in / Sign up

Export Citation Format

Share Document