Epidemiology and seasonality of human parainfluenza serotypes 1-3 in Australian children

Economic burden of respiratory syncytial and parainfluenza viruses in children of upper-middle-income countries: a systematic review

OBJECTIVE

To identify and assess the current evidence available about the costs of managing hospitalized pediatric patients diagnosed with Respiratory Syncytial Virus (RSV) and Parainfluenza Virus Type 3 (PIV3) in upper-middle-income countries.

METHODS

The authors conducted a systematic review across seven key databases from database inception to July 2022. Costs extracted were converted into 2022 International Dollars using the Purchasing Power Parity-adjusted. PROSPERO identifier: CRD42020225757.

RESULTS

No eligible study for PIV3 was recovered. For RSV, cost analysis and COI studies were performed for populations in Colombia, China, Malaysia, and Mexico. Comparing the total economic impact, the lowest cost per patient at the pediatric ward was observed in Malaysia ($ 347.60), while the highest was in Colombia ($ 709.66). On the other hand, at pediatric ICU, the lowest cost was observed in China ($ 1068.26), while the highest was in Mexico ($ 3815.56). Although there is no consensus on the major cost driver, all included studies described that the medications (treatment) consumed over 30% of the total cost. A high rate of inappropriate prescription drugs was observed.

CONCLUSION

The present study highlighted how RSV infection represents a substantial economic burden to health care systems and to society. The findings of the included studies suggest a possible association between baseline risk status and expenditures. Moreover, it was observed that an important amount of the cost is destinated to treatments that have no evidence or support in most clinical practice guidelines.

Usefulness of linked data for infectious disease events: a systematic review

Surveillance is a key public health function to enable early detection of infectious disease events and inform public health action. Data linkage may improve the depth of data for response to infectious disease events. This study aimed to describe the uses of linked data for infectious disease events. A systematic review was conducted using Pubmed, CINAHL and Web of Science. Studies were included if they used data linkage for an acute infectious disease event (e.g. outbreak of disease). We summarised the event, study aims and designs; data sets; linkage methods; outcomes reported; and benefits and limitations. Fifty-four studies were included. Uses of linkage for infectious disease events included assessment of severity of disease and risk factors; improved case finding and contact tracing; and vaccine uptake, safety and effectiveness. The ability to conduct larger scale population level studies was identified as a benefit, in particular for rarer exposures, risk factors or outcomes. Limitations included timeliness, data quality and inability to collect additional variables. This review demonstrated multiple uses of data linkage for infectious disease events. As infectious disease events occur without warning, there is a need to establish pre-approved protocols and the infrastructure for data-linkage to enhance information available during an event.

Epidemiology and seasonality of human parainfluenza serotypes 1-3 in Australian children

Background

Parainfluenza viruses are significant contributors to childhood respiratory illness worldwide, although detailed epidemiological studies are lacking. Few recent Australian studies have investigated serotype‐specific PIV epidemiology, and there is a paucity of southern hemisphere PIV reports. We report age‐stratified PIV hospitalisation rates and a mathematical model of PIV seasonality and dynamics in Western Australia (WA).

Methods

We used linked perinatal, hospital admission and laboratory diagnostic data of 469 589 children born in WA between 1996 and 2012. Age‐specific rates of viral testing and PIV detection in hospitalised children were determined using person time‐at‐risk analysis. PIV seasonality was modelled using a compartmental SEIRS model and complex demodulation methods.

Results

From 2000 to 2012, 9% (n = 43 627) of hospitalised children underwent PIV testing, of which 5% (n = 2218) were positive for PIV‐1, 2 or 3. The highest incidence was in children aged 1‐5 months (PIV‐1:62.6 per 100 000 child‐years, PIV‐2:26.3/100 000, PIV‐3:256/100 000), and hospitalisation rates were three times higher for Aboriginal children compared with non‐Aboriginal children overall (IRR: 2.93). PIV‐1 peaked in the autumn of even‐numbered years, and PIV‐3 annually in the spring, whereas PIV‐2 had inconsistent peak timing. Fitting models to the higher incidence serotypes estimated reproduction numbers of 1.24 (PIV‐1) and 1.72 (PIV‐3).

Conclusion

PIV‐1 and 3 are significant contributors towards infant respiratory hospitalisations. Interventions should prioritise children in the first 6 months of life, with respect to the observed autumn PIV‐1 and spring PIV‐3 activity peaks. Continued surveillance of all serotypes and investigation into PIV‐1 and 3 interventions should be prioritised.