scholarly journals Correction to: The effectiveness of syndromic surveillance for the early detection of waterborne outbreaks: a systematic review

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Susanne Hyllestad ◽  
Ettore Amato ◽  
Karin Nygård ◽  
Line Vold ◽  
Preben Aavitsland
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Susanne Hyllestad ◽  
Ettore Amato ◽  
Karin Nygård ◽  
Line Vold ◽  
Preben Aavitsland

Abstract Background Waterborne outbreaks are still a risk in high-income countries, and their early detection is crucial to limit their societal consequences. Although syndromic surveillance is widely used for the purpose of detecting outbreaks days earlier than traditional surveillance systems, evidence of the effectiveness of such systems is lacking. Thus, our objective was to conduct a systematic review of the effectiveness of syndromic surveillance to detect waterborne outbreaks. Method We searched the Cochrane Library, Medline/PubMed, EMBASE, Scopus, and Web of Science for relevant published articles using a combination of the keywords ‘drinking water’, ‘surveillance’, and ‘waterborne disease’ for the period of 1990 to 2018. The references lists of the identified articles for full-text record assessment were screened, and searches in Google Scholar using the same key words were conducted. We assessed the risk of bias in the included articles using the ROBINS-I tool and PRECEPT for the cumulative body of evidence. Results From the 1959 articles identified, we reviewed 52 articles, of which 18 met the eligibility criteria. Twelve were descriptive/analytical studies, whereas six were simulation studies. There is no clear evidence for syndromic surveillance in terms of the ability to detect waterborne outbreaks (low sensitivity and high specificity). However, one simulation study implied that multiple sources of signals combined with spatial information may increase the timeliness in detecting a waterborne outbreak and reduce false alarms. Conclusion This review demonstrates that there is no conclusive evidence on the effectiveness of syndromic surveillance for the detection of waterborne outbreaks, thus suggesting the need to focus on primary prevention measures to reduce the risk of waterborne outbreaks. Future studies should investigate methods for combining health and environmental data with an assessment of needed financial and human resources for implementing such surveillance systems. In addition, a more critical thematic narrative synthesis on the most promising sources of data, and an assessment of the basis for arguments that joint analysis of different data or dimensions of data (e.g. spatial and temporal) might perform better, should be carried out. Trial registration PROSPERO: International prospective register of systematic reviews. 2019. CRD42019122332.


2020 ◽  
Author(s):  
Susanne Hyllestad ◽  
Ettore Amato ◽  
Karin Nygård ◽  
Vold Line ◽  
Preben Aavitsland

Abstract Background: Waterborne outbreaks are still a risk in high-income countries, and their early detection is crucial to limit their societal consequences. Although syndromic surveillance is widely used for the purpose of detecting outbreaks days earlier than traditional surveillance systems, evidence of the effectiveness of such systems is lacking. Thus, our objective was to conduct a systematic review of the effectiveness of syndromic surveillance to detect waterborne outbreaks. Method: We searched the Cochrane Library, Medline/PubMed, EMBASE, Scopus, and Web of Science for relevant published articles using a combination of the keywords ‘drinking water’, ‘surveillance’, and ‘waterborne disease’ for the period of 1990 to 2018. The references lists of the identified articles for full-text record assessment were screened, and random searches using the same key words were conducted. We assessed the risk of bias in the included articles using the ROBINS-I tool and PRECEPT for the cumulative body of evidence. Results: From the 1,955 articles identified, we reviewed 52 articles, of which 16 met the eligibility criteria. Ten were retrospective studies, whereas six were simulation studies. There is no clear evidence for syndromic surveillance in terms of the ability to detect waterborne outbreaks (low sensitivity and high specificity). However, one simulation study implied that multiple sources of signals combined with spatial information may increase the timeliness in detecting a waterborne outbreak and reduce false alarms. Conclusion: This review demonstrates that there is no conclusive evidence on the effectiveness of syndromic surveillance for the detection of waterborne outbreaks, thus suggesting the need to focus on primary prevention measures to reduce the risk of waterborne outbreaks. Future studies should investigate methods for combining health and environmental data with an assessment of needed financial and human resources for implementing such surveillance systems.


Head & Neck ◽  
2018 ◽  
Vol 41 (4) ◽  
pp. 1122-1130 ◽  
Author(s):  
Oisín Bugter ◽  
Steffi E. M. van de Ven ◽  
Jose A. Hardillo ◽  
Marco J. Bruno ◽  
Arjun D. Koch ◽  
...  

BioFactors ◽  
2018 ◽  
Vol 45 (2) ◽  
pp. 101-117 ◽  
Author(s):  
Pegah Mahmoodi ◽  
Mona Fani ◽  
Majid Rezayi ◽  
Amir Avan ◽  
Zahra Pasdar ◽  
...  

2020 ◽  
Author(s):  
Xiaobo LIU ◽  
Chao Dong ◽  
Hong Jiang ◽  
Dongling Zhong ◽  
Yuxi Li ◽  
...  

Abstract Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.


2017 ◽  
Author(s):  
C�dric Rat ◽  
Sandrine Hild ◽  
Julie Rault S�randour ◽  
Aur�lie Gaultier ◽  
Gaelle Quereux ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Jiale Sun ◽  
Yuxin Lin ◽  
Xuedong Wei ◽  
Jun Ouyang ◽  
Yuhua Huang ◽  
...  

Background: Prostate-specific membrane antigen (PSMA)-targeted 2-(3-{1-carboxy-5-[(6-[18F] fluoro-pyridine-3-carbonyl)-amino]-pentyl}-ureido)-pentanedioic acid (18F-DCFPyL) positron emission tomography/computed tomography (PET/CT) has shown advantages in primary staging, restaging, and metastasis detection of prostate cancer (PCa). However, little is known about the role of 18F-DCFPyL PET/CT in biochemically recurrent prostate cancer (BRPCa). Hence, we performed a systematic review and meta-analysis to evaluate 18F-DCFPyL PET/CT as first-line imaging modality in early detection of BRPCa.Methods: A comprehensive literature search of PubMed, Web of Science, Embase, and Cochrane Library was conducted until December 2020. The pooled detection rate on a per-person basis and together with 95% confidence interval (CI) was calculated. Furthermore, a prostate-specific antigen (PSA)-stratified performance of detection positivity was obtained to assess the sensitivity of 18F-DCFPyL PET/CT in BRPCa with different PSA levels.Results: A total of nine eligible studies (844 patients) were included in this meta-analysis. The pooled detection rate (DR) of 18F-DCFPyL PET/CT in BRPCa was 81% (95% CI: 76.9–85.1%). The pooled DR was 88.8% for PSA ≥ 0.5 ng/ml (95% CI: 86.2–91.3%) and 47.2% for PSA < 0.5 ng/ml (95% CI: 32.6–61.8%). We also noticed that the regional lymph node was the most common site with local recurrence compared with other sites (45.8%, 95% CI: 42.1–49.6%). Statistical heterogeneity and publication bias were found.Conclusion: The results suggest that 18F-DCFPyL PET/CT has a relatively high detection rate in BRPCa. The results also indicate that imaging with 18F-DCFPyL may exhibit improved sensitivity in BRPCa with increased PSA levels. Considering the publication bias, further large-scale multicenter studies are warranted for validation.


2014 ◽  
Vol 143 (10) ◽  
pp. 2018-2042 ◽  
Author(s):  
V. RODRÍGUEZ-PRIETO ◽  
M. VICENTE-RUBIANO ◽  
A. SÁNCHEZ-MATAMOROS ◽  
C. RUBIO-GUERRI ◽  
M. MELERO ◽  
...  

SUMMARYIn this globalized world, the spread of new, exotic and re-emerging diseases has become one of the most important threats to animal production and public health. This systematic review analyses conventional and novel early detection methods applied to surveillance. In all, 125 scientific documents were considered for this study. Exotic (n = 49) and re-emerging (n = 27) diseases constituted the most frequently represented health threats. In addition, the majority of studies were related to zoonoses (n = 66). The approaches found in the review could be divided in surveillance modalities, both active (n = 23) and passive (n = 5); and tools and methodologies that support surveillance activities (n = 57). Combinations of surveillance modalities and tools (n = 40) were also found. Risk-based approaches were very common (n = 60), especially in the papers describing tools and methodologies (n = 50). The main applications, benefits and limitations of each approach were extracted from the papers. This information will be very useful for informing the development of tools to facilitate the design of cost-effective surveillance strategies. Thus, the current literature review provides key information about the advantages, disadvantages, limitations and potential application of methodologies for the early detection of new, exotic and re-emerging diseases.


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