Small-scale stable clusters of elevated tuberculosis incidence in Moscow, 2000–2015 Discovery and spatiotemporal analysis. / Romanyukha, Alexei A.; Karkach, Arseny S.; Borisov, Sergey E. et al.
In: International Journal of Infectious Diseases, Vol. 91, 02.2020, p. 156-161.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Small-scale stable clusters of elevated tuberculosis incidence in Moscow, 2000–2015 Discovery and spatiotemporal analysis
AU - Romanyukha, Alexei A.
AU - Karkach, Arseny S.
AU - Borisov, Sergey E.
AU - Belilovsky, Evgeny M.
AU - Sannikova, Tatiana E.
AU - Krivorotko, Olga I.
N1 - Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.
PY - 2020/2
Y1 - 2020/2
N2 - Objectives: To find residential areas with high incidence rate of tuberculosis in Moscow using spatio-temporal analysis of incidence data. Methods: We analyzed the spatial patterns of residence locations of smear or culture positive patients with pulmonary tuberculosis in Moscow. To identify clusters with high local incidence rates, the neighborhoods of detected cases were studied. We assessed the spatial and temporal stability of clusters. Results: For 19 033 cases diagnosed with smear or culture positive pulmonary tuberculosis among residents of Moscow in 2000–2015 we identified 18 small-scale clusters of increased incidence rate responsible for 3% of all registered cases identified on a territory inhabited by only 1% of the population. Locations of clusters were sufficiently stable in space throughout the whole period. The local incidence rate inside clusters was significantly (3–4 times) higher than the city average during the whole observation period. The presence of clusters was associated with the incidence rate in the surrounding area. Socio-demographic characteristics of patients in clusters were not significantly different from the average characteristics of patients in the city. Conclusions: The detected small-scale clusters of increased incidence may be used to target active case finding for tuberculosis. The causes and mechanisms of cluster formation and stability need further study.
AB - Objectives: To find residential areas with high incidence rate of tuberculosis in Moscow using spatio-temporal analysis of incidence data. Methods: We analyzed the spatial patterns of residence locations of smear or culture positive patients with pulmonary tuberculosis in Moscow. To identify clusters with high local incidence rates, the neighborhoods of detected cases were studied. We assessed the spatial and temporal stability of clusters. Results: For 19 033 cases diagnosed with smear or culture positive pulmonary tuberculosis among residents of Moscow in 2000–2015 we identified 18 small-scale clusters of increased incidence rate responsible for 3% of all registered cases identified on a territory inhabited by only 1% of the population. Locations of clusters were sufficiently stable in space throughout the whole period. The local incidence rate inside clusters was significantly (3–4 times) higher than the city average during the whole observation period. The presence of clusters was associated with the incidence rate in the surrounding area. Socio-demographic characteristics of patients in clusters were not significantly different from the average characteristics of patients in the city. Conclusions: The detected small-scale clusters of increased incidence may be used to target active case finding for tuberculosis. The causes and mechanisms of cluster formation and stability need further study.
KW - Epidemiology
KW - GIS
KW - Local infection
KW - Resident population
KW - Spatial analysis
KW - Urban
KW - Diagnostic Tests, Routine
KW - Moscow/epidemiology
KW - Humans
KW - Spatio-Temporal Analysis
KW - Tuberculosis, Pulmonary/diagnosis
KW - Incidence
UR - http://www.scopus.com/inward/record.url?scp=85076705252&partnerID=8YFLogxK
U2 - 10.1016/j.ijid.2019.11.015
DO - 10.1016/j.ijid.2019.11.015
M3 - Article
C2 - 31759169
AN - SCOPUS:85076705252
VL - 91
SP - 156
EP - 161
JO - International Journal of Infectious Diseases
JF - International Journal of Infectious Diseases
SN - 1201-9712
ER -
ID: 26015821