scholarly journals Development of critical recommendations representing good quality of response to infectious disease outbreaks

2013 ◽  
Vol 23 (suppl_1) ◽  
Author(s):  
E Belfroid ◽  
JLA Hautvast ◽  
J van der Velden ◽  
MEJL Hulscher ◽  
A Timen
Keyword(s):  
Infectious Disease ◽  
Disease Outbreaks ◽  
Infectious Disease Outbreaks

scholarly journals Making the Case for Centralized Dementia Care Through Adaptive Reuse in the Time of COVID-19

2020 ◽  
Vol 57 ◽  
pp. 004695802096930
Author(s):  
Emily Roberts ◽  
Heather Carlile Carter
Keyword(s):  
Infectious Disease ◽  
Disease Control ◽  
Disease Outbreaks ◽  
Dementia Care ◽  
Infectious Disease Control ◽  
Community Revitalization ◽  
Existing Structures ◽  
Infectious Disease Outbreaks ◽  
Memory Care

It is estimated that 5.4 million Americans have some form of dementia and these numbers are expected to rise in the coming decades, leading to an unprecedented demand for memory care housing and services. At the same time, infectious disease outbreaks like the COVID-19 pandemic have raised great concerns for the future of care settings for people living with dementia. In searching for innovative options to create more autonomy and better quality of life in dementia care settings, while at the same time improving infectious disease control, repurposing existing structures, in particular vacant urban malls, may be one option for the large sites needed for the European model of dementia villages. This editorial paper makes the case for the Dementia Friendly City Center model for centralized dementia programs, medical services and housing. By working across multiple disciplines, this research team has simultaneously addressed numerous issues, including community revitalization, building sustainability, and the strengthening of infectious disease control in care sites which are inclusive, progressive and convergent with the needs of an aging population.

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

scholarly journals Dot map cartograms for detection of infectious disease outbreaks: an application to Q fever, the Netherlands and pertussis, Germany

2017 ◽  
Vol 22 (26) ◽  
Author(s):  
Loes Soetens ◽  
Susan Hahné ◽  
Jacco Wallinga
Keyword(s):  
Infectious Disease ◽  
The Netherlands ◽  
Q Fever ◽  
Disease Outbreaks ◽  
Point Pattern ◽  
Infectious Disease Outbreaks ◽  
Public Health Professionals ◽  
Potential Source ◽  
High Incidence ◽  
And Control

Geographical mapping of infectious diseases is an important tool for detecting and characterising outbreaks. Two common mapping methods, dot maps and incidence maps, have important shortcomings. The former does not represent population density and can compromise case privacy, and the latter relies on pre-defined administrative boundaries. We propose a method that overcomes these limitations: dot map cartograms. These create a point pattern of cases while reshaping spatial units, such that spatial area becomes proportional to population size. We compared these dot map cartograms with standard dot maps and incidence maps on four criteria, using two example datasets. Dot map cartograms were able to illustrate both incidence and absolute numbers of cases (criterion 1): they revealed potential source locations (Q fever, the Netherlands) and clusters with high incidence (pertussis, Germany). Unlike incidence maps, they were insensitive to choices regarding spatial scale (criterion 2). Dot map cartograms ensured the privacy of cases (criterion 3) by spatial distortion; however, this occurred at the expense of recognition of locations (criterion 4). We demonstrate that dot map cartograms are a valuable method for detection and visualisation of infectious disease outbreaks, which facilitates informed and appropriate actions by public health professionals, to investigate and control outbreaks.

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
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