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H1N1 COUNTERMEASURES STRATEGY AND ... - PHE Home

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NBSB Pandemic Influenza Working Group<br />

Detailed Report<br />

(BRFSS) to get population data, and we have ILINet. The systems we had in place<br />

turned out to be pretty good, more robust than we anticipated.<br />

Dr. Meltzer: The model that tried to estimate how many samples could be delivered to<br />

public health labs in the middle of an epidemic, also tried to estimate the capacity of labs<br />

to deal with the epidemic, (one was a influenza lab) and the lab capacity for response to<br />

bioterrorism events through the LRN network. The results showed labs had limited surge<br />

capacity, which is no surprise. Having more machines helps, but the biggest limitation is<br />

personnel and sometimes just the physical space. With limited capacity, you need to<br />

triage, plan up front, and stick to it. Analyzing 600 specimens per day is not enough to<br />

meet the need, and that’s optimistic, because it pays no attention to the degradation of<br />

capacity during the pandemic; like school closings, workers going home, staff exhausted.<br />

You have to assume all the labs will be working at full capacity, and there will be no one<br />

to borrow from.<br />

Here are some of the things we’ve learned: First, you should determine your total<br />

capacity and divide that by the number of tests per day per shift. Patient management is<br />

not a priority - that’s separate. Public health testing and clinical management are<br />

separate. And you need to manage that strictly or the labs will be overwhelmed, and then<br />

they can’t fulfill their essential public service.<br />

Among the main goals for public health labs is to determine the burden of disease - the<br />

attack rate. CDC wants labs to report illness per day, each week, but that’s not going to<br />

happen. The best solution would be well-designed sampling that gives an accurate<br />

reading, and expect that there will be large confidence intervals.<br />

Hospitalization data are useless for planning, because the y-axis is missing data. With<br />

antiviral testing, we want to know, as the pandemic progresses, is the treatment working?<br />

That’s essential information - virologic surveillance and antigenic transformation. Those<br />

are the four key issues. You can allow for flexibility, but those are the issues for both<br />

pandemic influenza and bioterrorism. It requires a change in culture, and I think people<br />

are starting to realize that with our first-wave outbreak.<br />

In your communication to lab directors and to the people sending them samples,<br />

prioritization must be clear. Any expectations of markedly increasing capacity are not<br />

realistic. Then there’s the international side; CDC will be overwhelmed if international<br />

sites need help.<br />

Dr. Neuzil: I can think of at least one very good public health reason for individual<br />

clinical testing: to guide the use of antivirals or other scarce resources. Was anything<br />

learned about rapid tests from this outbreak? In regular seasonal influenza, I think the<br />

tests are better in children and when used earlier. Is it different for <strong>H1N1</strong>?<br />

Dr. Jernigan: My data come from lots of adults. I think you may see better<br />

performance in kids, with higher viral loads, and when you test earlier. There are a<br />

number of variables that determine performance. It’s hard to do any evaluation of<br />

comparability. The value of a positive result is clear - you can use that to support<br />

64

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