Estimation of R0 from the initial phase of an outbreak of a vector-borne infection

被引:42
|
作者
Massad, E. [1 ,2 ,3 ]
Coutinho, F. A. B. [1 ,2 ]
Burattini, M. N. [1 ,2 ]
Amaku, M. [4 ]
机构
[1] Univ Sao Paulo, Sch Med, BR-01246903 Sao Paulo, Brazil
[2] LIM 01 HCFMUSP, Sao Paulo, Brazil
[3] London Sch Hyg & Trop Med, London WC1, England
[4] Univ Sao Paulo, Sch Vet Med, BR-01246903 Sao Paulo, Brazil
关键词
basic reproduction number; epidemiology; mathematical models; vector-borne infections; dengue fever; THRESHOLD CONDITIONS; DENGUE; DYNAMICS; NUMBER; FEVER;
D O I
10.1111/j.1365-3156.2009.02413.x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The magnitude of the basic reproduction ratio R-0 of an epidemic can be estimated in several ways, namely, from the final size of the epidemic, from the average age at first infection, or from the initial growth phase of the outbreak. In this paper, we discuss this last method for estimating R-0 for vector-borne infections. Implicit in these models is the assumption that there is an exponential phase of the outbreaks, which implies that in all cases R-0 > 1. We demonstrate that an outbreak is possible, even in cases where R-0 is less than one, provided that the vector-to-human component of R-0 is greater than one and that a certain number of infected vectors are introduced into the affected population. This theory is applied to two real epidemiological dengue situations in the southeastern part of Brazil, one where R-0 is less than one, and other one where R-0 is greater than one. In both cases, the model mirrors the real situations with reasonable accuracy.
引用
收藏
页码:120 / 126
页数:7
相关论文
共 50 条
  • [1] Approximation of the Basic Reproduction Number R0 for Vector-Borne Diseases with a Periodic Vector Population
    Nicolas Bacaër
    [J]. Bulletin of Mathematical Biology, 2007, 69 : 1067 - 1091
  • [2] Approximation of the basic reproduction number R0 for vector-borne diseases with a periodic vector population
    Bacaer, Nicolas
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 2007, 69 (03) : 1067 - 1091
  • [3] R0 for Vector-Borne Diseases: Impact of the Assumption for the Duration of the Extrinsic Incubation Period
    Hartemink, Nienke
    Cianci, Daniela
    Reiter, Paul
    [J]. VECTOR-BORNE AND ZOONOTIC DISEASES, 2015, 15 (03) : 215 - 217
  • [4] Mapping the basic reproduction number (R0) for vector-borne diseases: A case study on bluetongue virus
    Hartemink, N. A.
    Purse, B. V.
    Meiswinkel, R.
    Brown, H. E.
    de Koeijer, A.
    Elbers, A. R. W.
    Boender, G. -J.
    Rogers, D. J.
    Heesterbeek, J. A. P.
    [J]. EPIDEMICS, 2009, 1 (03) : 153 - 161
  • [5] The risk matrix of vector-borne diseases in metapopulation networks and its relation with local and global R0
    Anzo-Hernandez, A.
    Bonilla-Capilla, B.
    Velazquez-Castro, J.
    Soto-Bajo, M.
    Fraguela-Collar, A.
    [J]. COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2019, 68 : 1 - 14
  • [6] A vector-borne contamination model to assess food-borne outbreak intervention strategies
    Talley, Jessye
    Davis, Lauren B.
    Morin, Benjamin
    Liu, Liping
    [J]. APPLIED MATHEMATICAL MODELLING, 2019, 66 : 383 - 403
  • [7] Host spatial heterogeneity and the spread of vector-borne infection
    Caraco, T
    Duryea, MC
    Glavanakov, S
    Maniatty, W
    Szymanski, BK
    [J]. THEORETICAL POPULATION BIOLOGY, 2001, 59 (03) : 185 - 206
  • [8] The dengue fever outbreak in Hawaii: a bioterrorism model for vector-borne illnesses
    Garshnek, Victoria
    Burgess, Lawrence
    [J]. INTERNATIONAL JOURNAL OF HEALTHCARE TECHNOLOGY AND MANAGEMENT, 2007, 8 (06) : 661 - 675
  • [9] The change of susceptibility following infection can induce failure to predict outbreak potential by R0
    Nakata, Yukihiko
    Omori, Ryosuke
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 16 (02) : 813 - 830
  • [10] District-wise estimation of Basic reproduction number (R0) for COVID-19 in India in the initial phase
    Pratip Shil
    Nitin M. Atre
    Avinash A. Patil
    Babasaheb V. Tandale
    Priya Abraham
    [J]. Spatial Information Research, 2022, 30 : 37 - 45