Laboratory methods for case finding in human psittacosis outbreaks: a systematic review

Abstract Background Psittacosis outbreak investigations require rapid identification of cases in order to trace possible sources and perform public health risk assessments. In recent outbreaks in the Netherlands, such investigations were hampered by the non-specificity of laboratory testing methods to identify human Chlamydia psittaci infections. Method A systematic search of PubMed and Scopus databases of literature published between 01 January, 1986 and 03 July, 2017 was done to find best practices of laboratory-testing methods used in psittacosis outbreaks of two or more human cases. Reference lists of included articles were hand searched to identify additional articles. Results Thirty-seven eligible articles were identified, describing 44 human psittacosis outbreaks in 12 countries. Laboratory tests performed were PCR (with various targets), serologic tests (complement binding reactions, ELISAâ s, immunofluorescence tests and immuno-peroxidase tests) and culture, in various combinations. The literature provided no â gold standardâ laboratory testing strategy to identify recent human C. psittaci infections. In most psittacosis outbreaks, for a considerable number of cases (or tested individuals in an exposed cohort), C. psittaci infection could not be confirmed, nor excluded as causative pathogen. None of the testing strategies was found to be suitable for (nearly) full case finding. Conclusion PCR enables rapid identification of human psittacosis patients and helps source finding by genotyping but has the disadvantage that sensitivity is high only in the acute phase. In outbreak situations, there is often a time delay and therefore, there is a need for new serologic testing methods next to PCR, with good specificity and sensitivity. Moreover, serum is easier to collect than the preferred diagnostic materials for PCR. A serologic test that can reliably confirm infection status without the necessity of convalescent serum sampling would enhance case finding, source tracing, identification of risk factors and assessment of burden of disease in various settings.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.c.4217327
PID https://www.doi.org/10.6084/m9.figshare.c.4217327.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.4217327
URL http://dx.doi.org/10.6084/m9.figshare.c.4217327.v1
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right not available
Attribution

Description: Authorships and contributors

Field Value
Author Nieuwenhuizen, Annelies
Author Dijkstra, Frederika
Author Notermans, Daan
Author Hoek, Wim Van Der
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite
Hosted By figshare
Publication Date 2018-01-01
Publisher Figshare
Additional Info
Field Value
Language UNKNOWN
Resource Type Collection
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Health sciences
system:type other
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::ab22b41b0f4ee86427ad1cc4d75b6c34
Author jsonws_user
Last Updated 19 December 2020, 15:12 (CET)
Created 19 December 2020, 15:12 (CET)