Insights from FluTracking Analyses

Throughout the year, we will post interesting FluTracking analyses for your feedback.

 

Symptoms by Age Group July/August 2021 Analysis

What did we do?
We compared symptoms reported by FluTrackers in July/August 2021 in Australia.

What did we find?
The most commonly reported symptom for children and adults aged less than 65 years old was a runny nose (over 25,000 reports). In contrast, the most commonly reported symptom for participants aged 65 years or older was a cough (almost 10,000 reports).

So what?
We can see that symptom profiles can greatly vary between age groups.

Figure 1: Symptom Profile by Age Group in July/August 2021

Mild Illness (2020-2021) vs Fever and Cough (2019-2021) Analysis

What did we do?
We compared respiratory illness symptoms reported by our FluTrackers from April 2019 to July 2021.

What did we find?
COVID-19 control measures continue to influence the rates of mild illness (sore throat and runny nose) and fever and cough symptoms reported by FluTrackers in 2020 and 2021. From March to June in 2021, FluTrackers have reported slightly lower levels of mild illness, as compared to fever and cough.

So what?
We can be confident that FluTracking data highlights the drastic effect social distancing measures and stay at home orders can have on influenza-like illness and COVID-19-like illness.

Figure 1: Mild Illness (2020-2021) vs Fever and Cough (2019-2021) Graph

Thunderstorm Asthma Survey

What did we do?
We conducted a cross-sectional survey assessing the community burden of breathing difficulties following a suspected thunderstorm asthma event in Victoria on 11 November 2020.

What did we find?
12% of participants reported asthma symptoms on the day, but it was higher within participants who reported being in a thunderstorm area. 79% of participants heard thunderstorm asthma warnings, and 36% of them took actions to reduce their risk of asthma symptoms.

So what?
FluTracking demonstrates the capacity to be rapidly utilised in responding to public health events.


Thunder Asthma  Surveys Infographic

Figure 1: Thunderstorm Asthma Survey Summary Infographic

Bushfire Smoke Survey

What did we do?
We completed a pilot survey to assess the community level burden of smoke-related symptoms.

What did we find?
In the smoke affected region we surveyed, the most commonly reported symptoms were eye irritation, throat irritation, and cough.

So what?
FluTracking demonstrates the capacity to be rapidly utilised in responding to public health events.

Context

These results relate to our pilot study conducted relating to the time period from December 2nd to December 15th. The results for the Australia wide survey will be posted here once data analysis has been completed.

Large parts of the Eastern coast of Australia are currently experiencing extreme and catastrophic bushfire events. The prolonged presence of visible smoke in the air across much of NSW has caused significant media attention to be directed at the possible health impacts of prolonged exposure to smoke. In NSW, hospital and Emergency Department presentations for smoke-related breathing problems have increased, but the community burden of smoke-related symptoms remained unknown.

FluTracking Response

In response to the growing community concern, and to assess the community level burden of smoke-related symptoms, the FluTracking team composed a one-off bushfire smoke symptom survey to send to a small group of participants. The aim of this survey was to use the strengths of Flutracking as an existing community surveillance program to assess the community burden of smoke-related symptoms and gauge whether members of the community with increased risk (those with existing respiratory illnesses) were more affected by the smoke.

We asked a random sample of 1,200 participants in the Hunter New England local health district (Figure 1) if they experienced any symptoms during the two week period including Monday, December 2nd to Sunday, December 15th. We also sent the same survey to a random sample of 1,200 participants in the Hobart Region. Hobart had not seen elevated particle matter in the air and had little-to-no smoke in the period we surveyed. Surveying these two different regions allowed us to determine the proportion of symptoms that might be related to smoke in the Hunter New England area.

Figure 1: Left – Hunter New England Local Health District area (marked in dark blue).
Source: https://www.abilitylinksnsw.org.au/find_a_linker.html.
Right: Hobart area (marked in salmon pink)
Source: https://www.researchgate.net/publication/269634777_2012-13_survey_of_recreational_fishing_in_tasmania

Results

Participants in the smoke-affected Hunter New England local health district reported much higher rates of symptoms. 

Percentage of Participants With at Least One Symptom Chart

Figure 2: Percentage of participants reporting any symptoms in Hunter New England (where there was high smoke levels), and in Hobart (where there was no smoke).

By 11:30 am Wednesday, December 18, 44 hours after the survey was sent, 1,962 participants had responded to the survey, 1231 from Hunter New England and 731 from Hobart. The percentage of participants in Hunter New England (66.5%) reporting at least one of the symptoms assessed was four times higher than in Hobart (16.2%). The most commonly reported symptoms (by the percentage of participants reporting each symptom) in the Hunter New England local health district were Eye Irritation (49.2%), Throat Irritation/Dry Throat (46.3%), and Cough (36.2%). Eye and Throat Irritation rates were more than 9 times higher in the Hunter New England local health district compared with Hobart. In the Hunter New England local health district most participants (87.0%) reported their symptoms were related to the bushfire smoke. Figure 3 shows the percentage of participants reporting each symptom by location.

Symptoms by Location

Figure 3: Percentage of participants reporting each symptom, by location. Participants in the smoke-affected Hunter New England local health district reported particularly high levels of Eye and Throat Irritation, Cough, Headache, and Sneezing.

Although many participants in the Hunter New England local health district reported experiencing bushfire smoke-related symptoms, the symptoms appear to be mild in severity for most participants. Only 10.8% of participants who reported experiencing symptoms in the Hunter New England local health district sought advice from a General Practitioner, Emergency Department, or reported being admitted as a hospital in-patient. Only 22.0% of participants in the Hunter New England local health district who reported symptoms required time off work or normal activities. In the 2019 FluTracking season 70.1% of our participants with fever and cough reported taking at least one day off work or normal activities. These findings suggest a wide-reaching, but mild in severity, health effect of bushfire smoke in the community.

We also asked survey participants about their history of respiratory disease. Among the participants who responded, 22.3% reported having asthma, COPD, or another respiratory illness. Symptoms such as wheeze, breathlessness, and chest pain, were much more prevalent among participants who reported having a history of respiratory illness, particularly in the Hunter New England local health district where smoke was an issue. In Hobart, participants reporting a history of respiratory illness had much higher rates of almost all symptoms than those who without respiratory illness.

Conclusion

Over the period including Monday, December 2nd to Sunday, December 15th the Hunter New England region experienced poor air quality coinciding with visible bushfire smoke. We surveyed 1,962 Flutracking participants and found that participants located in the Hunter region experienced a much higher rate of a range of respiratory and other symptoms (compared to participants located in Hobart). The majority of participants attributed at least one of their symptoms to bushfire smoke. Participants with a history of respiratory illness had elevated symptom levels in both locations (compared to those with no history), but those in the Hunter region experienced symptoms including wheeze, chest pain, and breathlessness at a much higher rate than participants without a history of respiratory problems – suggesting the smoke had a particularly strong impact on this group.

Click here to download a copy of the survey questions. Please note the copy of the survey questions will open in the tab/window.

Out of Order Survey Analysis

What did we do?
We checked how many people do their FluTracking surveys out of order (for example missing a few weeks and then doing the most recent survey before the earlier ones) and whether this influenced when FluTrackers report being vaccinated.

What did we find?
Only a small fraction of people completed their survey out of order sequence and even smaller fraction changed their vaccination status at the same time.

So what?
We are now more confident that FluTracking data on the timing of vaccination is not being largely influenced by surveys being done out of order.

Background

One question the FluTracking team had was how many of our participants complete their surveys in chronological order. More specifically, we wanted to find out how many participants complete their surveys out of order and whether that has any impact on collected data used for analysis. This question was especially important for participants who want to update their vaccination status, as they may inadvertently tell us they were vaccinated at a time they weren’t if they are answering several surveys out of order.

Out of order survey completion refers to surveys which are completed before other surveys that were sent earlier. For example; you could miss one or more surveys (perhaps you were away on holiday), and when you get back you click on the latest FluTracking email. However; because newer emails appear at the top of your inbox you probably complete the latest survey before the earlier ones that you missed. As a result; your responses would be 3-4 weeks out of order.

Normally it doesn’t make any difference to our data as long you remember to complete all the surveys; however, it makes a big difference if you change your vaccination status in an out of date survey because your vaccination time may be incorrectly recorded, and this could impact on certain analyses.

Because of the way the FluTracking platform sends out the surveys, it is likely many people have completed at least one survey out of date if they simply click the latest email they receive. However, because we allow our participants to ‘back fill’ up to five additional weeks they may have missed, it is possible that completing surveys out of order could mean our recorded ‘vaccination dates’ are out by up to 6 weeks! It was therefore quite important that we check the extent to which this problem might be present in our data.

Year AnalysedNumber of WeeksCountryMethod Used to Analyse Data and Produce Charts
201820AustraliaWe used 11 SQL queries and VBA code to select, collate, and analyse the data, Microsoft Excel to produce charts from generated statistical data , and TechSmith Snagit (screenshot program) to convert generated charts into graphics we posted on this page.

 Figure 1: Analysis method

Result

Thankfully, the analysis showed there was really nothing to worry about. Most participants complete their surveys on time and don’t have too many surveys to back fill. Out of all the surveys we received, less than 10% were classed as out of date (i.e. were completed before earlier surveys). Importantly, when we looked at only those participants who changed their vaccination status and completed surveys out of order, the figure was even smaller. Less than 1% of participants who had to complete two or more surveys on the same day changed their vaccination status at the same time (refer to figure 2, figure 3, and figure 3 for comparisons).

NOTE: As a further precaution, we checked the length of time people generally back filled when they completed surveys out of order. Most participants (83.99%) who completed a survey out of order only missed 1 week, and only 8.50% participants filled back 4 weeks. Nobody was out by 5 or 6 weeks. Looking at all the collected data for 2018; there is really nothing to worry about. These analyses help us be confident in our analyses, particularly when we look at how Influenza Like Illnesses might differ for people who have been vaccinated against the flu.

Experimental Weeks Out of Order Comparison Total Surveys Chart

Figure 2: Total Out of Date Order Comparison Chart

Weeks Out of Order Comparison Vaccinated Only Chart

Figure 3: Weeks Out of Order Comparison (Vaccinated Status Only) Chart

Out of Order Percentages by Week Chart

Figure 4: Weeks Out of Order Percentages by Week Table

Australian Government Department of Health
New Zealand Ministry of Health
Hunter New England Local Health District (HNELHD)
Hunter Medical Research Institute (HMRI)
The University of Newcastle
New Zealand Ministry of Health