Notes

Estimated county infection rates (percents for females), United States, 1988–1994.
Published in Int J Public Health. 2011 Feb;56(1):15-24. Epub 2010 Apr 27.

Estimated county infection rates (percents for females), United States, 1988–1994.

Published in Int J Public Health. 2011 Feb;56(1):15-24. Epub 2010 Apr 27.

Notes

Estimated county infection rates (percents for males), United States, 1988–1994.
Published in Int J Public Health. 2011 Feb;56(1):15-24. Epub 2010 Apr 27.

Estimated county infection rates (percents for males), United States, 1988–1994.

Published in Int J Public Health. 2011 Feb;56(1):15-24. Epub 2010 Apr 27.

2 Notes

Map showing overlap in breeding relative abundance for mallard and gadwall species. Note that the geographic distribution of gadwall breeding locations is contained almost entirely by areas where mallard breed, with similar areas of high- and low-breeding concentrations across the contiguous United States. The mallard tested positive at some of the highest rates and the gadwall was near the lowest in proportion of AIV positive tests, suggesting geographic overlap alone does not explain variations in species prevalence patterns.
Published in Farnsworth ML , Miller RS , Pedersen K , Lutman MW , Swafford SR , et al. (2012) Environmental and Demographic Determinants of Avian Influenza Viruses in Waterfowl across the Contiguous United States. PLoS ONE 7(3): e32729. doi:10.1371/journal.pone.0032729

Map showing overlap in breeding relative abundance for mallard and gadwall species. Note that the geographic distribution of gadwall breeding locations is contained almost entirely by areas where mallard breed, with similar areas of high- and low-breeding concentrations across the contiguous United States. The mallard tested positive at some of the highest rates and the gadwall was near the lowest in proportion of AIV positive tests, suggesting geographic overlap alone does not explain variations in species prevalence patterns.

Published in Farnsworth ML , Miller RS , Pedersen K , Lutman MW , Swafford SR , et al. (2012) Environmental and Demographic Determinants of Avian Influenza Viruses in Waterfowl across the Contiguous United States. PLoS ONE 7(3): e32729. doi:10.1371/journal.pone.0032729

Notes

Top model estimate of average predicted probability that an individual bird sampled from local watersheds during the breeding season tests positive for avian influenza virus.The probability is an average across all three years of data for all waterfowl sampled within a given watershed. Note the strong latitudinal gradient with higher probabilities of testing positive in northern latitudes and decreasing probabilities in southern latitudes.
Published in Farnsworth ML , Miller RS , Pedersen K , Lutman MW , Swafford SR , et al. (2012) Environmental and Demographic Determinants of Avian Influenza Viruses in Waterfowl across the Contiguous United States. PLoS ONE 7(3): e32729. doi:10.1371/journal.pone.0032729 

Top model estimate of average predicted probability that an individual bird sampled from local watersheds during the breeding season tests positive for avian influenza virus.The probability is an average across all three years of data for all waterfowl sampled within a given watershed. Note the strong latitudinal gradient with higher probabilities of testing positive in northern latitudes and decreasing probabilities in southern latitudes.

Published in Farnsworth ML , Miller RS , Pedersen K , Lutman MW , Swafford SR , et al. (2012) Environmental and Demographic Determinants of Avian Influenza Viruses in Waterfowl across the Contiguous United States. PLoS ONE 7(3): e32729. doi:10.1371/journal.pone.0032729 

1 Notes

The figure above shows the prevalence of seasonal and pH1N1 influenza vaccination coverage among women with a live birth in 29 states and New York City during the 2009-10 influenza season, based on data from the Pregnancy Risk Assessment Monitoring System (PRAMS). Seasonal and pH1N1 influenza vaccination coverage among women with live births varied among the participating states. Among the 29 states and NYC, the estimated median percentage of women with live births reporting receipt of both seasonal and pH1N1 vaccinations was 28.5% (range: 15.0%-49.9%). The median percentage of women with live births reporting receipt of seasonal or pH1N1 vaccinations was 59.3% (range: 38.9%-80.2%). Overall correlation between PRAMS data and state coverage among adult women aged 18-49 years was high (r = 0.88 for seasonal, and r = 0.80 for pH1N1); for all adults, the correlation also was high (r = 0.80 for seasonal, and r = 0.88 for pH1N1).
Published in the Morbidity and Mortality Weekly Report, February 24, 2012 / 61(07);113-118. 

The figure above shows the prevalence of seasonal and pH1N1 influenza vaccination coverage among women with a live birth in 29 states and New York City during the 2009-10 influenza season, based on data from the Pregnancy Risk Assessment Monitoring System (PRAMS). Seasonal and pH1N1 influenza vaccination coverage among women with live births varied among the participating states. Among the 29 states and NYC, the estimated median percentage of women with live births reporting receipt of both seasonal and pH1N1 vaccinations was 28.5% (range: 15.0%-49.9%). The median percentage of women with live births reporting receipt of seasonal or pH1N1 vaccinations was 59.3% (range: 38.9%-80.2%). Overall correlation between PRAMS data and state coverage among adult women aged 18-49 years was high (r = 0.88 for seasonal, and r = 0.80 for pH1N1); for all adults, the correlation also was high (r = 0.80 for seasonal, and r = 0.88 for pH1N1).

Published in the Morbidity and Mortality Weekly Report, February 24, 2012 / 61(07);113-118

Notes

Relative risk of water-associated infectious diseases. Shown are relative risk distributions for different categories of water-associated infectious diseases – water-borne (A), water-carried (B), water-based (C), water-related (D), water-washed (E), and water-dispersed (F). Relative risk estimate was based on the best fit Bayesian model integrating reported outbreaks, random and spatial effects.
For a description of these water categories see here
Published in Yang K , LeJeune J , Alsdorf D , Lu B , Shum CK , et al. 2012 Global Distribution of Outbreaks of Water-Associated Infectious Diseases. PLoS Negl Trop Dis 6(2): e1483. doi:10.1371/journal.pntd.0001483. 

Relative risk of water-associated infectious diseases. Shown are relative risk distributions for different categories of water-associated infectious diseases – water-borne (A), water-carried (B), water-based (C), water-related (D), water-washed (E), and water-dispersed (F). Relative risk estimate was based on the best fit Bayesian model integrating reported outbreaks, random and spatial effects.

For a description of these water categories see here

Published in Yang K , LeJeune J , Alsdorf D , Lu B , Shum CK , et al. 2012 Global Distribution of Outbreaks of Water-Associated Infectious Diseases. PLoS Negl Trop Dis 6(2): e1483. doi:10.1371/journal.pntd.0001483. 

12 Notes

Infographic on the reduction in major infectious diseases due to vaccination published by VaccineNews.net

Infographic on the reduction in major infectious diseases due to vaccination published by VaccineNews.net

1 Notes

Predicted and observed density of infected host-seeking Ixodes scapularis nymphs.
Published in Am J Trop Med Hyg 2012 vol. 86 no. 2 320-327.

Predicted and observed density of infected host-seeking Ixodes scapularis nymphs.

Published in Am J Trop Med Hyg 2012 vol. 86 no. 2 320-327.

1 Notes

Statistically significant high- and low-risk areas. High risk: 95% probability that at least 0.3 infected nymphs will be collected per 1,000 m2; low risk: 95% probability that < 0.3 infected nymphs will be collected per 1,000 m2; transitional area: risk cannot be ascertained with 95% confidence (confidence interval includes 0.3); true high risk: > 0.3 infected nymphs collected in a predicted high-risk area; true low risk: < 0.3 infected nymphs collected in a predicted low-risk area; false high risk: < 0.3 infected nymphs collected in a predicted high-risk area; false low risk: > 0.3 infected nymphs collected in a predicted low-risk area.
Published in Am J Trop Med Hyg 2012 vol. 86 no. 2 320-327.

Statistically significant high- and low-risk areas. High risk: 95% probability that at least 0.3 infected nymphs will be collected per 1,000 m2; low risk: 95% probability that < 0.3 infected nymphs will be collected per 1,000 m2; transitional area: risk cannot be ascertained with 95% confidence (confidence interval includes 0.3); true high risk: > 0.3 infected nymphs collected in a predicted high-risk area; true low risk: < 0.3 infected nymphs collected in a predicted low-risk area; false high risk: < 0.3 infected nymphs collected in a predicted high-risk area; false low risk: > 0.3 infected nymphs collected in a predicted low-risk area.

Published in Am J Trop Med Hyg 2012 vol. 86 no. 2 320-327.

Notes

Cumulative rainfall anomalies over Eastern Africa associated with ENSO-related teleconnections, October–December, 2005.
Negative rainfall anomalies correspond to the large-scale regional drought in Eastern Africa during October–December, 2005. Anomalies were calculated with reference to the 1995–2000 long term mean. Epicenters of chikungunya outbreaks during this period are shown by the four open black dots.
Published in Anyamba A , Linthicum KJ , Small JL , Collins KM , Tucker CJ , et al. 2012 Climate Teleconnections and Recent Patterns of Human and Animal Disease Outbreaks. PLoS Negl Trop Dis 6(1): e1465. doi:10.1371/journal.pntd.0001465

Cumulative rainfall anomalies over Eastern Africa associated with ENSO-related teleconnections, October–December, 2005.

Negative rainfall anomalies correspond to the large-scale regional drought in Eastern Africa during October–December, 2005. Anomalies were calculated with reference to the 1995–2000 long term mean. Epicenters of chikungunya outbreaks during this period are shown by the four open black dots.

Published in Anyamba A , Linthicum KJ , Small JL , Collins KM , Tucker CJ , et al. 2012 Climate Teleconnections and Recent Patterns of Human and Animal Disease Outbreaks. PLoS Negl Trop Dis 6(1): e1465. doi:10.1371/journal.pntd.0001465