Evidence map›Paper›PMID 27586156›Full record

ReviewEpidemiology and infection2016

An overview of the epidemiology of notifiable infectious diseases in Australia, 1991-2011.

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

Abstract readReview
In one paragraph

Review in Epidemiology and infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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 the first 21 years (1991-2011) of Australia's National Notifiable Diseases Surveillance System (NNDSS). All nationally notified diseases (except HIV/AIDS and Creutzfeldt-Jakob disease) were analysed by disease group (n = 8), jurisdiction (six states and two territories), Indigenous status, age group and notification year. In total, 2 421 134 cases were analysed. The 10 diseases with highest notification incidence (chlamydial infection, campylobacteriosis, varicella zoster, hepatitis C, influenza, pertussis, salmonellosis, hepatitis B, gonococcal infection, and Ross River virus infection) comprised 88% of all notifications. Annual notification incidence was 591 cases/100 000, highest in the Northern Territory (2598/100 000) and in children aged <5 years (698/100 000). A total of 8·4% of cases were Indigenous Australians. Notification incidence increased by 6·4% per year (12% for sexually transmissible infections and 15% for vaccine-preventable diseases). The number of notifiable diseases also increased from 37 to 65. The number and incidence of notifications increased throughout the study period, partly due to addition of diseases to the NNDSS and increasing availability of sensitive diagnostic tests. The most commonly notified diseases require a range of public health responses addressing high-risk sexual and drug-use behaviours, food safety and immunization. Our results highlight populations with higher notification incidence that might require tailored public health interventions.

Indexed as

Disease NotificationAustraliaCommunicable DiseasesHumansAnalysis of dataAustraliaepidemiologypublic healthsurveillance system

Identifiers

PMID27586156
PMCPMC9150208

What OpenQuestion holds

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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.