Mathematical and Statistical Modeling for Emerging and Re-Emerging Infectious Diseases 2016
DOI: 10.1007/978-3-319-40413-4_9
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Assessing the Efficiency of Movement Restriction as a Control Strategy of Ebola

Abstract: We formulate a two-patch mathematical model for Ebola Virus Disease dynamics in order to evaluate the effectiveness of cordons sanitaires, mandatory movement restrictions between communities while exploring their role on disease dynamics and final epidemic size. Simulations show that severe restrictions in movement between high and low risk areas of closely linked communities may have a deleterious impact on the overall levels of infection in the total population.

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Cited by 18 publications
(17 citation statements)
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“…(ii) The incorporation of the transmission in health care centers in which medical staff can be infected as well [58]. (iii) The incorporation of patches to account for the internationalization of EVD as it is the case in Western Africa [13,23,31]. (iv) The modeling of multi-species transmission mechanism in the case where the same region is threaten by more than one Ebola virus strain.…”
Section: Equilibriamentioning
confidence: 99%
“…(ii) The incorporation of the transmission in health care centers in which medical staff can be infected as well [58]. (iii) The incorporation of patches to account for the internationalization of EVD as it is the case in Western Africa [13,23,31]. (iv) The modeling of multi-species transmission mechanism in the case where the same region is threaten by more than one Ebola virus strain.…”
Section: Equilibriamentioning
confidence: 99%
“…It is only towards the end of 2015 that modellers, realizing that the outbreak was predicted to persist for several months should nothing be done to stop it [35], started incorporating the demographic dynamics in their works [1,19]. Secondly, the Western Africa outbreak also distinguished itself by its internationalization which resulted in the development of meta-population models [14,19]. Similarly to the works proposed in the Central Africa case, there has been a great deal on the estimation of the basic reproduction number R 0 for most of the models studied from 2014, as summarized in Table 1.…”
Section: Introductionmentioning
confidence: 99%
“…The limitations of the role of technology in the absence of the public health infrastructure –there is no silver bullet– has been recently addressed in the context of Ebola (( Chowell et al., 2015 , Yong et al., 2016 )) with applications of the Lagrangian approach as presented here in the context of communicable and vector born diseases, including dengue, tuberculosis and Ebola, in settings where health disparities are pervasive (( Bichara et al., 2016 , Espinoza et al., 2016 , p. pp.123)). Further, the use of simplified models, quite often tends to over-estimate the impact of an outbreak (see ( Nishiura et al., 2009 , Nishiura et al., 2011 )) and the model and scenarios used highlight the limitations on the use of simplified settings when the goal is to capture or mimic the dynamics of specific systems–not the goal of this manuscript.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Resource limited and poor nations face challenges that make the use of standard efforts and approaches aimed at controlling vector borne diseases ineffective due to extreme variations in the levels of public safety, gang violence and conflict. A lack of attention to the threats posed by the weakest links in the global spread of diseases poses a serious threat to global health policies (see ( Castillo-Chavez et al., 2015 , Chowell et al., 2015 , Espinoza et al., 2016 , p. pp.123; Patterson-Lomba et al., 2015 , Patterson-Lomba et al., 2016 , p. pp.1011; Perrings et al., 2014 , Zhao et al., 2014 )). The importance of focusing on the weakest links of global transmission networks becomes obvious when the levels of violence in Latin America and the Caribbean, which houses 9% of the global population but accounts for 33% of the world's homicides ( Jaitman, 2015 ).…”
Section: Introductionmentioning
confidence: 99%