TY - JOUR
T1 - Novel measurement of spreading pattern of influenza epidemic by using weighted standard distance method
T2 - retrospective spatial statistical study of influenza, Japan, 1999-2009
AU - Shobugawa, Yugo
AU - Wiafe, Seth A.
AU - Saito, Reiko
AU - Suzuki, Tsubasa
AU - Inaida, Shinako
AU - Taniguchi, Kiyosu
AU - Suzuki, Hiroshi
N1 - Funding Information:
The Uehara Memorial Foundation (Tokyo, Japan) provided financial support for this research. The authors would like to thank Diane Garcia Gonzales, Clyde Dapat, and Yoh Kawano for editing English on the manuscript, and also thank Makram Murad-al-shaikh for revising cartography. Martin Kulldorff, Kunihiko Takahashi, and Shamsul Azhar Shah, and Hassan Zaraket gave authors very helpful comments on writing manuscript. Osamu Sugawara provided technical support for computing data. Richard Blanco, Johanny Valladares, and Yasuko Yamamoto helped us by secretarial work. The authors also would like to thank to them.
PY - 2012/6/19
Y1 - 2012/6/19
N2 - Background: Annual influenza epidemics occur worldwide resulting in considerable morbidity and mortality. Spreading pattern of influenza is not well understood because it is often hampered by the quality of surveillance data that limits the reliability of analysis. In Japan, influenza is reported on a weekly basis from 5,000 hospitals and clinics nationwide under the scheme of the National Infectious Disease Surveillance. The collected data are available to the public as weekly reports which were summarized into number of patient visits per hospital or clinic in each of the 47 prefectures. From this surveillance data, we analyzed the spatial spreading patterns of influenza epidemics using weekly weighted standard distance (WSD) from the 1999/2000 through 2008/2009 influenza seasons in Japan. WSD is a single numerical value representing the spatial compactness of influenza outbreak, which is small in case of clustered distribution and large in case of dispersed distribution.Results: We demonstrated that the weekly WSD value or the measure of spatial compactness of the distribution of reported influenza cases, decreased to its lowest value before each epidemic peak in nine out of ten seasons analyzed. The duration between the lowest WSD week and the peak week of influenza cases ranged from minus one week to twenty weeks. The duration showed significant negative association with the proportion of influenza A/H3N2 cases in early phase of each outbreak (correlation coefficient was -0.75, P = 0.012) and significant positive association with the proportion of influenza B cases in the early phase (correlation coefficient was 0.64, P = 0.045), but positively correlated with the proportion of influenza A/H1N1 strain cases (statistically not significant). It is assumed that the lowest WSD values just before influenza peaks are due to local outbreak which results in small standard distance values. As influenza cases disperse nationwide and an epidemic reaches its peak, WSD value changed to be a progressively increasing.Conclusions: The spatial distribution of nationwide influenza outbreak was measured by using a novel WSD method. We showed that spreading rate varied by type and subtypes of influenza virus using WSD as a spatial indicator. This study is the first to show a relationship between influenza epidemic trend by type/subtype and spatial distribution of influenza nationwide in Japan. © 2012 Shobugawa et al.; licensee BioMed Central Ltd.
AB - Background: Annual influenza epidemics occur worldwide resulting in considerable morbidity and mortality. Spreading pattern of influenza is not well understood because it is often hampered by the quality of surveillance data that limits the reliability of analysis. In Japan, influenza is reported on a weekly basis from 5,000 hospitals and clinics nationwide under the scheme of the National Infectious Disease Surveillance. The collected data are available to the public as weekly reports which were summarized into number of patient visits per hospital or clinic in each of the 47 prefectures. From this surveillance data, we analyzed the spatial spreading patterns of influenza epidemics using weekly weighted standard distance (WSD) from the 1999/2000 through 2008/2009 influenza seasons in Japan. WSD is a single numerical value representing the spatial compactness of influenza outbreak, which is small in case of clustered distribution and large in case of dispersed distribution.Results: We demonstrated that the weekly WSD value or the measure of spatial compactness of the distribution of reported influenza cases, decreased to its lowest value before each epidemic peak in nine out of ten seasons analyzed. The duration between the lowest WSD week and the peak week of influenza cases ranged from minus one week to twenty weeks. The duration showed significant negative association with the proportion of influenza A/H3N2 cases in early phase of each outbreak (correlation coefficient was -0.75, P = 0.012) and significant positive association with the proportion of influenza B cases in the early phase (correlation coefficient was 0.64, P = 0.045), but positively correlated with the proportion of influenza A/H1N1 strain cases (statistically not significant). It is assumed that the lowest WSD values just before influenza peaks are due to local outbreak which results in small standard distance values. As influenza cases disperse nationwide and an epidemic reaches its peak, WSD value changed to be a progressively increasing.Conclusions: The spatial distribution of nationwide influenza outbreak was measured by using a novel WSD method. We showed that spreading rate varied by type and subtypes of influenza virus using WSD as a spatial indicator. This study is the first to show a relationship between influenza epidemic trend by type/subtype and spatial distribution of influenza nationwide in Japan. © 2012 Shobugawa et al.; licensee BioMed Central Ltd.
KW - Influenza
KW - Spatial compactness
KW - Weighted standard distance
KW - Influenza A Virus, H3N2 Subtype
KW - Japan/epidemiology
KW - Humans
KW - Influenza, Human/epidemiology
KW - Population Surveillance/methods
KW - Influenza A Virus, H1N1 Subtype/pathogenicity
KW - Space-Time Clustering
KW - Spatial Analysis
KW - Retrospective Studies
KW - Epidemics/statistics & numerical data
UR - https://www.scopus.com/pages/publications/84862292088
UR - https://www.scopus.com/pages/publications/84862292088#tab=citedBy
UR - https://www.mendeley.com/catalogue/7e7f441b-36b7-3723-aa52-9e68df8916a2/
U2 - 10.1186/1476-072X-11-20
DO - 10.1186/1476-072X-11-20
M3 - Article
C2 - 22713508
SN - 1476-072X
VL - 11
JO - International Journal of Health Geographics
JF - International Journal of Health Geographics
M1 - 20
ER -