scholarly journals SurvNet Electronic Surveillance System for Infectious Disease Outbreaks, Germany

2007 ◽  
Vol 13 (10) ◽  
pp. 1548-1555 ◽  
Author(s):  
Gérard Krause ◽  
Doris Altmann ◽  
Daniel Faensen ◽  
Klaudia Porten ◽  
Justus Benzler ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Surveillance System ◽  
Disease Outbreaks ◽  
Electronic Surveillance ◽  
Infectious Disease Outbreaks

scholarly journals Fever in Children - an Assessment of Validity by a Shewhart Model in a Syndromic Surveillance System in China

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Changming Zhou ◽  
Huijian Cheng ◽  
Genming Zhao ◽  
Qi Zhao ◽  
Biao Xu ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Case Report ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Disease Outbreaks ◽  
Syndromic Surveillance System ◽  
Infectious Disease Outbreaks ◽  
Shewhart Chart ◽  
Common Infectious Disease ◽  
Report System

The objective is to evaluate the validity of the signals generated by Shewhart chart to detect the increase in febrile children with patients with common infectious diseases. There were 28,049 and 42,029 reports for febrile patients in the two study counties during the 2-year period. The sensitivity were 29.03% and 34.78%. The PPVs were 64.29% and 53.33%. The sensitivity of signals in the syndromic surveillance system was low using the Shewhart model while the PPV was relatively high which suggested that this syndromic surveillance system had potential ability to supplement conventional case report system in detecting common infectious disease outbreaks.

Mississippi's Infectious Disease Hotline: A Surveillance and Education Model for Future Disasters

2009 ◽  
Vol 24 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Andrew M. J. Cavey ◽  
Jonathan M. Spector ◽  
Derek Ehrhardt ◽  
Theresa Kittle ◽  
Mills McNeill ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Hurricane Katrina ◽  
Surveillance System ◽  
Respiratory Infections ◽  
Disease Outbreaks ◽  
Health Concern ◽  
Watery Diarrhea ◽  
Epidemic Disease ◽  
Infectious Disease Outbreaks ◽  
Telephone Hotline

AbstractIntroduction:The potential for outbreaks of epidemic disease among displaced residents was a significant public health concern in the aftermath of Hurricane Katrina. In response, the Mississippi Department of Health (MDH) and the American Red Cross (ARC) implemented a novel infectious disease surveillance system, in the form of a telephone “hotline”, to detect and rapidly respond to health threats in shelters.Methods:All ARC-managed shelters in Mississippi were included in the surveillance system. A symptom-based, case reporting method was developed and distributed to shelter staff, who were linked with MDH and ARC professionals by a toll-free telephone service. Hotline staff investigated potential infectious disease outbreaks, provided assistance to shelter staff regarding optimal patient care, and helped facilitate the evaluation of ill evacuees by local medical personnel.Results:Forty-three shelters sheltering 3,520 evacuees participated in the program. Seventeen shelters made 29 calls notifying the hotline of the following cases: (1) fever (6 cases); (2) respiratory infections (37 cases); (3) bloody diarrhea (2 cases); (4) watery diarrhea (15 cases); and (5) other, including rashes (33 cases). Thirty-four of these patients were referred to a local physician or hospital for further diagnosis and disease management. Three cases of chickenpox were identified. No significant infectious disease outbreaks occurred and no deaths were reported.Conclusions:The surveillance system used direct verbal communication between shelter staff and hotline managers to enable more rapid reporting, mapping, investigation, and intervention, far beyond the capabilities of a more passive or paper-based system. It also allowed for immediate feedback and education for staff unfamiliar with the diseases and reporting process. Replication of this program should be considered during future disasters when health surveillance of a large, disseminated shelter population is necessary.

scholarly journals Infectious disease outbreaks in the African region: overview of events reported to the World Health Organization in 2018

2019 ◽  
Vol 147 ◽  
Author(s):  
F. Mboussou ◽  
P. Ndumbi ◽  
R. Ngom ◽  
Z. Kassamali ◽  
O. Ogundiran ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Disease Onset ◽  
Disease Outbreaks ◽  
Case Fatality ◽  
World Health ◽  
African Region ◽  
Regional Office ◽  
Member States ◽  
Infectious Disease Outbreaks ◽  
The World

Abstract The WHO African region is characterised by the largest infectious disease burden in the world. We conducted a retrospective descriptive analysis using records of all infectious disease outbreaks formally reported to the WHO in 2018 by Member States of the African region. We analysed the spatio-temporal distribution, the notification delay as well as the morbidity and mortality associated with these outbreaks. In 2018, 96 new disease outbreaks were reported across 36 of the 47 Member States. The most commonly reported disease outbreak was cholera which accounted for 20.8% (n = 20) of all events, followed by measles (n = 11, 11.5%) and Yellow fever (n = 7, 7.3%). About a quarter of the outbreaks (n = 23) were reported following signals detected through media monitoring conducted at the WHO regional office for Africa. The median delay between the disease onset and WHO notification was 16 days (range: 0–184). A total of 107 167 people were directly affected including 1221 deaths (mean case fatality ratio (CFR): 1.14% (95% confidence interval (CI) 1.07%–1.20%)). The highest CFR was observed for diseases targeted for eradication or elimination: 3.45% (95% CI 0.89%–10.45%). The African region remains prone to outbreaks of infectious diseases. It is therefore critical that Member States improve their capacities to rapidly detect, report and respond to public health events.

scholarly journals Statistical methods for the prospective detection of infectious disease outbreaks: a review

2011 ◽  
Vol 175 (1) ◽  
pp. 49-82 ◽  
Author(s):  
Steffen Unkel ◽  
C. Paddy Farrington ◽  
Paul H. Garthwaite ◽  
Chris Robertson ◽  
Nick Andrews
Keyword(s):  
Infectious Disease ◽  
Statistical Methods ◽  
Disease Outbreaks ◽  
Infectious Disease Outbreaks
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