Group US Army military portrait including Dr. William Levison (top row, third from left); Schofield Barracks, Hawaii Portraits Groups Men

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Dr. William Levison (seated, far left) with other U.S. Army medial doctors and nurses with Christmas Tree in background Portraits Groups

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Portrait of Dr. William Levison smoking a corn pipe Portraits Men

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William Niclas standing next to the Oder River Portraits Men

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William Niclas (far left) next to Herr Richards and an unidentified man and woman; Ratibor, Poland Portraits Men

Handwritten on verso: Mormons, Ratibor

Group portrait at the farewell banquet for Dr. William Antopol from the laboratory staff of Mount Sinai Hospital; Ken's Chop House, New York city Portraits Groups

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Portrait of William and Charlotte Engel Levison Portraits Couples

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Dr. William Levison working at a desk Portraits Men

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Portrait of Dr. William Levison Portraits Men

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Portrait of Dr. William Levison in military uniform Portraits Men

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Group US Army military portrait including Dr. William Levison (top row, third from left); Schofield Barracks, Hawaii Portraits Groups Men

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Portrait of Dr. William Levison smoking a corn pipe Portraits Men

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Dr. William Levison celebrating Christmas Eve with U.S. Army buddies; Schofield Barracks, Hawaii Portraits Groups Men

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Dr. William Levison with U.S. Army buddies; Schofield Barracks, Hawaii Portraits Groups Men

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Bayesian estimation of the dynamics of pandemic (H1N1) 2009 influenza transmission in Queensland: A space–time SIR-based model

Background A pandemic strain of influenza A spread rapidly around the world in 2009, now referred to as pandemic (H1N1) 2009. This study aimed to examine the spatiotemporal variation in the transmission rate of pandemic (H1N1) 2009 associated with changes in local socio-environmental conditions from May 7–December 31, 2009, at a postal area level in Queensland, Australia. Method We used the data on laboratory-confirmed H1N1 cases to examine the spatiotemporal dynamics of transmission using a flexible Bayesian, space–time, Susceptible-Infected-Recovered (SIR) modelling approach. The model incorporated parameters describing spatiotemporal variation in H1N1 infection and local socio-environmental factors. Results The weekly transmission rate of pandemic (H1N1) 2009 was negatively associated with the weekly area-mean maximum temperature at a lag of 1 week (LMXT) (posterior mean: −0.341; 95% credible interval (CI): −0.370–−0.311) and the socio-economic index for area (SEIFA) (posterior mean: −0.003; 95% CI: −0.004–−0.001), and was positively associated with the product of LMXT and the weekly area-mean vapour pressure at a lag of 1 week (LVAP) (posterior mean: 0.008; 95% CI: 0.007–0.009). There was substantial spatiotemporal variation in transmission rate of pandemic (H1N1) 2009 across Queensland over the epidemic period. High random effects of estimated transmission rates were apparent in remote areas and some postal areas with higher proportion of indigenous populations and smaller overall populations. Conclusions Local SEIFA and local atmospheric conditions were associated with the transmission rate of pandemic (H1N1) 2009. The more populated regions displayed consistent and synchronized epidemics with low average transmission rates. The less populated regions had high average transmission rates with more variations during the H1N1 epidemic period.