Evidence map›Paper›PMID 28065205›Full record

ArticleEpidemiology and infection2017

Australia's National Notifiable Diseases Surveillance System 1991-2011: expanding, adapting and improving.

K B Gibney, A C Cheng, R Hall, K Leder

Abstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

K B GibneyDepartment of Epidemiology and Preventive Medicine,Monash University, The Alfred Centre,Melbourne,Victoria,Australia.
A C ChengDepartment of Epidemiology and Preventive Medicine,Monash University, The Alfred Centre,Melbourne,Victoria,Australia.
R HallDepartment of Epidemiology and Preventive Medicine,Monash University, The Alfred Centre,Melbourne,Victoria,Australia.
K LederDepartment of Epidemiology and Preventive Medicine,Monash University, The Alfred Centre,Melbourne,Victoria,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We reviewed key attributes (flexibility, data quality and timeliness) of Australia's National Notifiable Diseases Surveillance System (NNDSS) over its first 21 years. Cases notified to NNDSS from 1991 to 2011 were examined by jurisdiction (six states and two territories) and sub-period to describe changes in the number of notifiable diseases, proportion of cases diagnosed using PCR tests, data quality (focusing on data completeness), and notification delays. The number of notifiable diseases increased from 37 to 65. The proportion of cases diagnosed by PCR increased from 1% (1991-1997) to 49% (2005-2011). Indigenous status was complete for only 44% notifications (jurisdictional range 19-87%). Vaccination status was complete for 62% (jurisdictional range 32-100%) and country of acquisition for 24% of relevant cases. Data completeness improved over the study period with the exception of onset date. Median time to notification was 8 days (interquartile range 4-17 days, jurisdictional range 5-15 days); this decreased from 11 days (1991-1997) to 5 days (2005-2011). NNDSS expanded during the study period. Data completeness and timeliness improved, likely related to mandatory laboratory reporting and electronic data transfer. A nationally integrated electronic surveillance system, including electronic laboratory reporting, would further improve infectious disease surveillance in Australia.

Indexed as

Epidemiological MonitoringHealth Services ResearchAdolescentAdultAgedAged, 80 and overAustraliaChildChild, PreschoolCommunicable DiseasesDisease NotificationFemaleHumansInfantInfant, NewbornMalePublic healthsurveillance system

Identifiers

PMID28065205
PMCPMC9507803

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.