Spatiotemporal disease mapping applied to infectious diseases

被引：9

作者：

Coly, Sylvain ^{[1
,2
]}

Charras-Garrido, Myriam ^{[1
]}

Abrial, David ^{[1
]}

Yao-Lafourcade, Anne-Francoise ^{[2
]}

机构：

[1] Ctr INRA Clermont Ferrand, Theix Unite Epidemiol Anim, Route Theix, F-63122 St Genes Champanelle, France

[2] Univ Blaise Pascal, Lab Math, UMR 6620, F-63171 Aubiere, France

来源：

SPATIAL STATISTICS CONFERENCE 2015, PART 1 | 2015年 / 26卷

关键词：

Bayesian Inference; Disease Mapping; Epidemiology; Infectious Disease; Spatiotemporal; TIME; MODELS; AREA; RISK;

D O I：

10.1016/j.proenv.2015.05.019

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Disease mapping aims to determine the underlying disease risk scattered from health data. This methodology enables to represent this disease risk by a gradation of colours on a map. Our aim is to apply disease mapping to infectious diseases, when a primary case can result in secondary cases, by direct or vector transmission. Contagion can lead to overdispersion and strengthen spatial and temporal structures. This study highlighted the relevance of using the negative binomial distribution to model such data. It also showed the need to take into account both spatial and temporal dimensions in this type of epidemiological study. (C) 2015 The Authors. Published by Elsevier B.V

引用

页码：32 / 37

页数：6

共 50 条

[1] Global mapping of infectious disease
Hay, Simon I.
Battle, Katherine E.
Pigott, David M.
Smith, David L.
Moyes, Catherine L.
Bhatt, Samir
Brownstein, John S.
Collier, Nigel
Myers, Monica F.
George, Dylan B.
Gething, Peter W.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2013, 368 (1614)
[2] Vector-borne infectious disease mapping with stochastic difference equations: an analysis of dengue disease in Malaysia
Samat, N. A.
Percy, D. F.
JOURNAL OF APPLIED STATISTICS, 2012, 39 (09) : 2029 - 2046
[3] Assessing the Impact of a Movement Network on the Spatiotemporal Spread of Infectious Diseases
Schroedle, Birgit
Held, Leonhard
Rue, Havard
BIOMETRICS, 2012, 68 (03) : 736 - 744
[4] Prioritising Infectious Disease Mapping
Pigott, David M.
Howes, Rosalind E.
Wiebe, Antoinette
Battle, Katherine E.
Golding, Nick
Gething, Peter W.
Dowell, Scott F.
Farag, Tamer H.
Garcia, Andres J.
Kimball, Ann M.
Krause, L. Kendall
Smith, Craig H.
Brooker, Simon J.
Kyu, Hmwe H.
Vos, Theo
Murray, Christopher J. L.
Moyes, Catherine L.
Hay, Simon I.
PLOS NEGLECTED TROPICAL DISEASES, 2015, 9 (06):
[5] BAYESIAN SPATIOTEMPORAL MODELS FOR INFECTIOUS DISEASES IN RELATION TO HEALTH INEQUALITY
Lope, Dinah Jane
BULLETIN OF THE AUSTRALIAN MATHEMATICAL SOCIETY, 2023, 108 (03) : 516 - 517
[6] Infectious Diseases and Anesthesia in Children
Kara, Duygu
Gursoy, Feray
TRENDS IN PEDIATRICS, 2021, 2 (03): : 109 - 113
[7] Mapping changes in the spatiotemporal distribution of lumpy skin disease virus
Machado, Gustavo
Korennoy, Fedor
Alvarez, Julio
Picasso-Risso, Catalina
Perez, Andres
VanderWaal, Kimberly
TRANSBOUNDARY AND EMERGING DISEASES, 2019, 66 (05) : 2045 - 2057
[8] Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping
Roelofs, Bart
Weitkamp, Gerd
GEOSPATIAL HEALTH, 2024, 19 (02)
[9] Combinatorial metaheuristics applied to infectious disease models
Jose Fallas-Monge, Juan
Chavarria-Molina, Jeffry
Alpizar-Brenes, Geisel
2016 IEEE 36TH CENTRAL AMERICAN AND PANAMA CONVENTION (CONCAPAN XXXVI), 2016,
[10] Spatiotemporal and Seasonal Trends of Class A and B Notifiable Infectious Diseases in China: Retrospective Analysis
Zheng, Junyao
Zhang, Ning
Shen, Guoquan
Liang, Fengchao
Zhao, Yang
He, Xiaochen
Wang, Ying
He, Rongxin
Chen, Wenna
Xue, Hao
Shen, Yue
Fu, Yang
Zhang, Wei -Hong
Zhang, Lei
Bhatt, Samir
Mao, Ying
Zhu, Bin
JMIR PUBLIC HEALTH AND SURVEILLANCE, 2023, 9

← 1 2 3 4 5 →