Quantifying Poverty as a Driver of Ebola Transmission

被引:53
作者
Fallah, Mosoka P. [1 ,2 ,3 ,4 ]
Skrip, Laura A. [4 ]
Gertler, Shai [4 ]
Yamin, Dan [4 ,5 ]
Galvani, Alison P. [3 ,4 ]
机构
[1] Minist Hlth, Community Based Initiat, Monrovia, Liberia
[2] Natl Inst Allergy & Infect Dis, PREVAIL Study 3, Monrovia, Liberia
[3] Univ Liberia, AM Dogliotti Coll Med, Monrovia, Liberia
[4] Yale Univ, Sch Publ Hlth, Ctr Infect Dis Modeling & Anal, New Haven, CT USA
[5] Tel Aviv Univ, Dept Ind Engn, IL-69978 Tel Aviv, Israel
来源
PLOS NEGLECTED TROPICAL DISEASES | 2015年 / 9卷 / 12期
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
VIRUS-INFECTED PATIENTS; HEMORRHAGIC-FEVER; EPIDEMICS; RESPONSES; LIBERIA;
D O I
10.1371/journal.pntd.0004260
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background Poverty has been implicated as a challenge in the control of the current Ebola outbreak in West Africa. Although disparities between affected countries have been appreciated, disparities within West African countries have not been investigated as drivers of Ebola transmission. To quantify the role that poverty plays in the transmission of Ebola, we analyzed heterogeneity of Ebola incidence and transmission factors among over 300 communities, categorized by socioeconomic status (SES), within Montserrado County, Liberia. Methodology/Principal Findings We evaluated 4,437 Ebola cases reported between February 28, 2014 and December 1, 2014 for Montserrado County to determine SES-stratified temporal trends and drivers of Ebola transmission. A dataset including dates of symptom onset, hospitalization, and death, and specified community of residence was used to stratify cases into high, middle and low SES. Additionally, information about 9,129 contacts was provided for a subset of 1,585 traced individuals. To evaluate transmission within and across socioeconomic subpopulations, as well as over the trajectory of the outbreak, we analyzed these data with a time-dependent stochastic model. Cases in the most impoverished communities reported three more contacts on average than cases in high SES communities (p< 0.001). Our transmission model shows that infected individuals from middle and low SES communities were associated with 1.5 (95% CI: 1.4-1.6) and 3.5 (95% CI: 3.1-3.9) times as many secondary cases as those from high SES communities, respectively. Furthermore, most of the spread of Ebola across Montserrado County originated from areas of lower SES. Conclusions/Significance Individuals from areas of poverty were associated with high rates of transmission and spread of Ebola to other regions. Thus, Ebola could most effectively be prevented or contained if disease interventions were targeted to areas of extreme poverty and funding was dedicated to development projects that meet basic needs.
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页数:9
相关论文
共 26 条
[1]  
[Anonymous], 2009, SLUM POP PERC URB PE
[2]  
[Anonymous], 2010, WORLD FACTBOOK
[3]  
[Anonymous], 2014, ASS SOC IMP EB VIR D
[4]  
[Anonymous], 2012, World Development Indicators 2012
[5]  
[Anonymous], EB SIT REP 14 OCT 20
[6]  
[Anonymous], 2012, EL SOIL TRANSM HELM
[7]   Ebola Virus Disease in West Africa - The First 9 Months of the Epidemic and Forward Projections [J].
Aylward, Bruce ;
Barboza, Philippe ;
Bawo, Luke ;
Bertherat, Eric ;
Bilivogui, Pepe ;
Blake, Isobel ;
Brennan, Rick ;
Briand, Sylvie ;
Chakauya, Jethro Magwati ;
Chitala, Kennedy ;
Conteh, Roland M. ;
Cori, Anne ;
Croisier, Alice ;
Dangou, Jean-Marie ;
Diallo, Boubacar ;
Donnelly, Christl A. ;
Dye, Christopher ;
Eckmanns, Tim ;
Ferguson, Neil M. ;
Formenty, Pierre ;
Fuhrer, Caroline ;
Fukuda, Keiji ;
Garske, Tini ;
Gasasira, Alex ;
Gbanyan, Stephen ;
Graaff, Peter ;
Heleze, Emmanuel ;
Jambai, Amara ;
Jombart, Thibaut ;
Kasolo, Francis ;
Kadiobo, Albert Mbule ;
Keita, Sakoba ;
Kertesz, Daniel ;
Kone, Moussa ;
Lane, Chris ;
Markoff, Jered ;
Massaquoi, Moses ;
Mills, Harriet ;
Mulba, John Mike ;
Musa, Emmanuel ;
Myhre, Joel ;
Nasidi, Abdusalam ;
Nilles, Eric ;
Nouvellet, Pierre ;
Nshimirimana, Deo ;
Nuttall, Isabelle ;
Nyenswah, Tolbert ;
Olu, Olushayo ;
Pendergast, Scott ;
Perea, William .
NEW ENGLAND JOURNAL OF MEDICINE, 2014, 371 (16) :1481-1495
[8]   Defective humoral responses and extensive intravascular apoptosis are associated with fatal outcome in Ebola virus-infected patients [J].
Baize, S ;
Leroy, EM ;
Georges-Courbot, MC ;
Capron, M ;
Lansoud-Soukate, J ;
Debré, P ;
Fisher-Hoch, SP ;
McCormick, JB ;
McCormick, JB ;
Georges, AJ .
NATURE MEDICINE, 1999, 5 (04) :423-426
[9]   Inflammatory responses in Ebola virus-infected patients [J].
Baize, S ;
Leroy, EM ;
Georges, AJ ;
Georges-Courbot, MC ;
Capron, M ;
Bedjabaga, I ;
Lansoud-Soukate, J ;
Mavoungou, E .
CLINICAL AND EXPERIMENTAL IMMUNOLOGY, 2002, 128 (01) :163-168
[10]   Social Factors in Epidemiology [J].
Bauch, Chris T. ;
Galvani, Alison P. .
SCIENCE, 2013, 342 (6154) :47-49