
The tables below outline the pandemic assumptions. They contain four sections:
Assumption table 1-Incubation period |
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Current assumption(s) |
While the maximum incubation period could be seven days, a shorter incubation period of around three days would be the most common. |
Planning implications |
Contacts will need to be quarantined for seven days after last exposure. Modelling is to be based on the average incubation period rather than maximum. |
Response implications |
It is important to reassess this assumption as early as possible as it may alter recommendations about length of time contacts need to be quarantined. |
Scientific rationale |
Although the incubation period for seasonal influenza is short (one to three days), longer incubation periods have been recorded for human infections with influenza A/H5N1. A precautionary approach has therefore been taken until proven otherwise. |
Assumption table 2-Attack rate |
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Current assumption(s) |
2.1 The unmitigated attack rate would be in the order of 60% of which 1/3 of the cases would be asymptomatic giving an unmitigated clinical attack rate of 40%. |
Planning implications |
2.1 An unmitigated pandemic would result in an unmanageable number of cases. Pandemic planning is required and mitigation strategies are warranted. |
Response implications |
2.1 - 2.2 It will be important to model the likely impact of interventions on the attack rate so as to estimate the likely health care demand in a mitigated pandemic. It will be important to assess the impact of interventions on the attack rate continually in order to assess overall effectiveness. |
Scientific rationale |
2.1 Expert opinion based on past pandemics. |
Assumption table 3-Modes of transmission |
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Current assumption(s) |
3.1 Droplet and contact spread will be the major modes of transmission in the community. |
Planning implications |
3.1 Infection control in the community should focus on droplet and contact precautions. |
Response implications |
3.1 - 3.2 It will be important to confirm this assumption early in the pandemic so as to re-affirm or amend infection control guidance. |
Scientific rationale |
3.1 Droplet and contact transmission have been demonstrated as the major routes of transmission for seasonal influenza. The patterns of transmission in previous pandemics also indicate that these were dominant routes of transmission. |
Assumption table 4-Period of communicability |
|
Current assumption(s) |
4.1 Cases of all age groups could be infectious from one day (24 hours) before the onset of symptoms. Persons who become ill may shed virus (and transmit infection) for up to one day before onset of symptoms. |
Planning implications |
4.1 Quarantining of contacts even if asymptomatic will be required as it is assumed that the onset of the period of communicability will pre-date the onset of symptoms by up to 24 hours. |
Response implications |
4.1 It is unlikely that early definitive evidence would be available that would allow experts to conclusively state that the period of communicability does not begin before the onset of symptoms. It is possible although unlikely that the period of communicability prior to the onset of symptoms might be longer than assumed. If there were data to support this, contact definitions may need to be amended. |
Scientific rationale |
4.1 There are a small number of studies that appear to indicate that persons with seasonal influenza could be infectious a number of hours before the onset of discernable symptoms. A precautionary approach has therefore been taken. |
Assumption table 5-Respiratory protection zone |
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The respiratory protection zone is the area around an infected patient where airborne viral particles or large droplets could lead to direct respiratory or conjunctival infection. |
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Current assumption(s) |
5.1 Scenario: The infectious case is wearing a surgical mask thus no aerosol generating procedures are possible. |
Planning and response implications |
When practical, every attempt should be made within the clinical setting to cohort mask wearing and non-mask wearing patients. If not possible, required protection should be in line with that for treating the highest risk patient in the room. |
Scientific rationale |
See assumption 3 for details about the modes of transmission. |
Assumption table 6-Survival of the virus |
|
Current assumption(s) |
6.1 Survival on surfaces-the virus could survive if unwashed/undisturbed and be potentially infectious for the following lengths of time: |
Planning and response implications |
6.1-6.5 Areas where an infectious case has spent time, particularly if the infectious case is not wearing a surgical mask, are likely to be contaminated. They will pose a risk to others through contact contamination and transference of viral particles. Hand washing and surface cleaning will be extremely important in reducing the risk of this occurring. Use of soap and water/alcohol rubs and standard cleaning materials will be effective in disinfecting contaminated areas. No special cleaning procedures or materials would be required during a pandemic. |
Scientific rationale |
6.1- 6.5 Research into seasonal influenza, avian influenza (influenza A/H5N1) and SARS have been used to estimate survival times on different surfaces and in cadavers. A precautionary approach has been taken and maximum possible survival times are quoted above. It should be noted that true infectiousness to humans of viruses at the extremes of these survival times is likely to be extremely low. |
Assumption table 7-Serial interval |
|
Current assumption(s) |
The current assumption is that the serial interval will be two to four days. |
Planning implications |
As the serial interval is assumed short, contact tracing must take place as quickly as possible for it to be effective. |
Response implications |
Serial interval estimate, along with attack rate, will be required to be able to model the likely impact. |
Scientific rationale |
Serial interval has been extrapolated from seasonal influenza and past pandemic data. |
Assumption table 8-Presenting symptoms |
|
Current assumption(s) |
The current assumption is that the predominant presenting symptoms during a pandemic will be respiratory symptoms and fever usually accompanied by systemic symptoms such as myalgia and fatigue. |
Planning implications |
Screening programmes, surveillance and clinical case definitions should be based around fever and/or respiratory symptoms. |
Response implications |
It will be a high priority to understand the spectrum of presenting symptoms to allow modifications to case (surveillance and clinical) definitions as early as possible to ensure the appropriate levels of sensitivity and specificity. It will be important early in a pandemic to establish the frequency of atypical presentations as amendments, particularly to the clinical case definitions, may be required. |
Scientific rationale |
Extensive studies of seasonal influenza and previous pandemics indicate that influenza is predominately a respiratory disease. However, atypical presentations of seasonal influenza can occur particularly in those at the extremes of age and in patients with unusual influenza viruses such as influenza A/H5N1. It is therefore possible that pandemic influenza could present with high frequency of atypical symptoms. |
Assumption table 9-Health impact of pandemic influenza |
|
Current assumption(s) |
9.1 The current assumption is that in an unmitigated pandemic (i.e. no antivirals, no antibiotics) the clinical case fatality rate would be 2.4%. |
Planning implications |
9.1 - 9.2 Planning should ensure that the use of antiviral, antibiotics and appropriate supportive health care during a pandemic could be optimised. |
Response implications |
9.1 - 9.6 Data on health service usage needs to be closely monitored throughout the pandemic and services optimised as required. |
Scientific rationale |
9.1 and 9.3 are based on data from the 1918 pandemic. |
Assumption table 10-Treatment with Neuraminidase Inhibitor (NI) antivirals |
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Note that Assumptions 10 and 11 are based on the presumption that: |
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Current assumption(s) |
10.1 Timing-NI antiviral treatment during the pandemic would likely be most effective if started within 48 hours of onset of illness. Limited therapeutic benefit is likely to be seen when treatment is started later than five days post onset of systemic symptoms (myalgia +/ fever). |
Planning and response implications |
10.1 - 10.6 Planning should therefore focus on developing the capacity to identify cases as early as possible in the course of their illness and on optimising services so that NI antiviral therapy, if clinically indicated, can be administered within 48 hours. The clinical benefit of treatment provided to cases that present after 48 hours onset will need to be evaluated at |
Scientific rationale |
10.1 This is based on data from seasonal influenza and outcomes of a small, non-randomised case study of a limited number of patients with influenza A/H5N1. In contrast to uncomplicated seasonal influenza, oseltamivir treatment is warranted for patients presenting later with H5N1 virus because viral replication is more prolonged than with seasonal influenza. |
Assumption table 11-Antiviral prophylaxis with Neuraminidase Inhibitor (NI) antivirals |
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Current assumption(s) |
11.1 Dosage-the current recommended doses for prophylaxis is assumed to be effective against the pandemic strain. |
Planning implications |
11.1 Dosage-For planning purposes, the dosage recommended in the Interim National Pandemic Influenza Clinical Guidelines (June 2006) should be followed. |
- two weeks away from the high risk setting for every three weeks worked in that setting for zanamivir. |
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This needs to be taken into consideration when planning staff rosters in high-risk health care services where continuous prophylaxis might be used. |
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Response implications |
11.1 - 11.3 The effectiveness of prophylaxis, post-exposure and continuous pre-exposure, needs to be monitored and evaluated so that policies can be tailored during a pandemic to best meet the needs and ensure effective use of resources. |
Scientific rationale |
11.1 The current dose recommendations are based on data from a relatively small number of clinical trials that have been conducted to examine the safety and effectiveness of NI antiviral prophylaxis. |
Assumption table 12-Immunity following natural infection |
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Current assumption(s) |
12.1 For planning purposes, it should be assumed that all individuals, regardless of age, would be vulnerable to pandemic influenza that is, no natural prior immunity will be present in any age groups. |
Planning implications |
12.1 Planning should be based on the assumptions that no natural prior immunity will exist and hence protection may be required by all members of the population. |
Response implications |
12.1 As the first wave progresses, immunity post infection should be assessed. If immunity is high, then, in certain circumstances, protective measures for recoverees could be reduced. |
Scientific rationale |
12.1 - 12.2 Based on data from previous pandemics and particularly from analysis of the 1918 pandemic in Australia where infection during the first wave appeared (for some individuals at least) not to confer protection against second infection during the second wave. |
Assumption table 13-Immunity following vaccination |
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Current assumption(s) |
13.1 It is assumed that if the viral strain in the candidate pandemic vaccine were closely related to the pandemic strain (i.e. if both the candidate vaccine strain and the pandemic strain were both influenza A/H5N1 viruses), then some degree of protection would be afforded following two doses of candidate vaccine. The level of protection would not be known until testing could be conducted and it should be assumed that at least one dose of customised pandemic vaccine is likely to be needed to ensure adequate protection against the pandemic virus. |
Planning and response implications |
13.1 Anyone who has received two doses of candidate vaccine will require at least one dose of customised pandemic vaccine. |
Data should be collected to see if vaccination is conferring protection against the second/subsequent wave pandemic virus. The level of protection in second waves following vaccination/natural infection will be assessed at the time as a priority. |
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Scientific rationale |
The above is based on data from a range of clinical trials that have been conducted on candidate pandemic vaccines as well as data about immune responses to seasonal influenza in relatively naive populations (i.e. young children). |
Assumption table 14-Absenteeism |
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Current assumption(s) |
14.1 30 to 50% of the working age population could be away from work during the peak of the pandemic. This includes absenteeism due to illness or quarantine, the need to stay at home to care for someone who is ill, the need to stay at home to look after children in the event of school closures, fears about being infected at work as well as some people fulfilling other roles in the community. In certain sectors, absenteeism may be higher due to the high percentage of female employees (e.g. health care, especially in nursing, pharmacy). |
Planning and response implications |
14.1 - 14.3 Business continuity needs to assume and plan for high and possibly fluctuating levels of absenteeism throughout the pandemic. |
Scientific rationale |
14.1 - 14.3 The evidence base for this is extremely limited, and thus represents the consensus view of an expert committee. |
Assumption table 15-Duration of pandemic disruption |
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Current assumption(s) |
The pandemic in Australia will last 7-10 months. |
Planning and response implications |
Business and the community need to plan to be able to continue to function despite the disruptions for up to one year. Business continuity needs to take into account the likely fluctuating levels of disruptions and possible differences in timing of interventions across the country. |
Scientific rationale |
The evidence base for this is extremely limited, and thus represents the consensus view of an expert committee. |
This information is current for 03 September, 2010
This information was issued on 05 December, 2008