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Chen L, Wu X, Xu Y, Rong L. Modelling the dynamics of Trypanosoma rangeli and triatomine bug with logistic growth of vector and systemic transmission. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2022; 19:8452-8478. [PMID: 35801473 DOI: 10.3934/mbe.2022393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
In this paper, an insect-parasite-host model with logistic growth of triatomine bugs is formulated to study the transmission between hosts and vectors of the Chagas disease by using dynamical system approach. We derive the basic reproduction numbers for triatomine bugs and Trypanosoma rangeli as two thresholds. The local and global stability of the vector-free equilibrium, parasite-free equilibrium and parasite-positive equilibrium is investigated through the derived two thresholds. Forward bifurcation, saddle-node bifurcation and Hopf bifurcation are proved analytically and illustrated numerically. We show that the model can lose the stability of the vector-free equilibrium and exhibit a supercritical Hopf bifurcation, indicating the occurrence of a stable limit cycle. We also find it unlikely to have backward bifurcation and Bogdanov-Takens bifurcation of the parasite-positive equilibrium. However, the sustained oscillations of infected vector population suggest that Trypanosoma rangeli will persist in all the populations, posing a significant challenge for the prevention and control of Chagas disease.
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Affiliation(s)
- Lin Chen
- Department of Mathematics, Hangzhou Normal University, Hangzhou 311121, China
| | - Xiaotian Wu
- College of Arts and Sciences, Shanghai Maritime University, Shanghai 201306, China
| | - Yancong Xu
- Department of Mathematics, Hangzhou Normal University, Hangzhou 311121, China
| | - Libin Rong
- Department of Mathematics, University of Florida, Gainesville 32611, USA
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2
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Gaspe MS, Cardinal MV, Fernández MDP, Vassena CV, Santo-Orihuela PL, Enriquez GF, Alvedro A, Laiño MA, Nattero J, Alvarado-Otegui JA, Macchiaverna NP, Cecere MC, Freilij H, Gürtler RE. Improved vector control of Triatoma infestans limited by emerging pyrethroid resistance across an urban-to-rural gradient in the Argentine Chaco. Parasit Vectors 2021; 14:437. [PMID: 34454569 PMCID: PMC8401064 DOI: 10.1186/s13071-021-04942-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 08/10/2021] [Indexed: 11/25/2022] Open
Abstract
Background The sustainable elimination of Triatoma infestans in the Gran Chaco region represents an enduring challenge. Following the limited effects of a routine pyrethroid insecticide spraying campaign conducted over 2011–2013 (first period) in Avia Terai, an endemic municipality with approximately 2300 houses, we implemented a rapid-impact intervention package to suppress house infestation across the urban-to-rural gradient over 2015–2019 (second period). Here, we assess their impacts and whether persisting infestations were associated with pyrethroid resistance. Methods The 2011–2013 campaign achieved a limited detection and spray coverage across settings (< 68%), more so during the surveillance phase. Following community mobilization and school-based interventions, the 2015–2019 program assessed baseline house infestation using a stratified sampling strategy; sprayed all rural houses with suspension concentrate beta-cypermethrin, and selectively sprayed infested and adjacent houses in urban and peri-urban settings; and monitored house infestation and performed selective treatments over the follow-up. Results Over the first period, house infestation returned to pre-intervention levels within 3–4 years. The adjusted relative odds of house infestation between 2011–2013 and 2015–2016 differed very little (adj. OR: 1.17, 95% CI 0.91–1.51). Over the second period, infestation decreased significantly between 0 and 1 year post-spraying (YPS) (adj. OR: 0.36, 95% CI 0.28–0.46), with heterogeneous effects across the gradient. Mean bug abundance also dropped between 0 and 1 YPS and thereafter remained stable in rural and peri-urban areas. Using multiple regression models, house infestation and bug abundance at 1 YPS were 3–4 times higher if the house had been infested before treatment, or was scored as high-risk or non-participating. No low-risk house was ever infested. Persistent foci over two successive surveys increased from 30.0 to 59.3% across the gradient. Infestation was more concentrated in peridomestic rather than domestic habitats. Discriminating-dose bioassays showed incipient or moderate pyrethroid resistance in 7% of 28 triatomine populations collected over 2015–2016 and in 83% of 52 post-spraying populations. Conclusions The intervention package was substantially more effective than the routine insecticide spraying campaign, though the effects were lower than predicted due to unexpected incipient or moderate pyrethroid resistance. Increased awareness and diagnosis of vector control failures in the Gran Chaco, including appropriate remedial actions, are greatly needed. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13071-021-04942-9.
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Affiliation(s)
- María Sol Gaspe
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina. .,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.
| | - Marta Victoria Cardinal
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - María Del Pilar Fernández
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Washington State University, Paul G. Allen School for Global Animal Health, Allen Center, 1155 College Ave., Pullman, WA, 99164, USA
| | - Claudia Viviana Vassena
- Centro de Investigaciones de Plagas e Insecticidas (CIPEIN, CONICET/UNIDEF/CITEDEF), Juan Bautista La Salle 4397, Villa Martelli, CP 1603, Buenos Aires, Argentina.,Universidad Nacional de San Martín, Buenos Aires, Argentina
| | - Pablo Luis Santo-Orihuela
- Centro de Investigaciones de Plagas e Insecticidas (CIPEIN, CONICET/UNIDEF/CITEDEF), Juan Bautista La Salle 4397, Villa Martelli, CP 1603, Buenos Aires, Argentina.,Cátedra de Química Analítica Instrumental, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Gustavo Fabián Enriquez
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - Alejandra Alvedro
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - Mariano Alberto Laiño
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - Julieta Nattero
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - Julián Antonio Alvarado-Otegui
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - Natalia Paula Macchiaverna
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - María Carla Cecere
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina
| | - Héctor Freilij
- Servicio de Parasitología, Hospital de Niños Ricardo Gutiérrez, Instituto Multidisciplinario de Investigación en Patologías Pediátricas, CONICET-GCBA, Buenos Aires, Argentina
| | - Ricardo Esteban Gürtler
- Laboratorio de Eco-Epidemiología, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina. .,Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Ciudad Universitaria, C1428EHA, Buenos Aires, Argentina.
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Ghersi BM, Peterson AC, Gibson NL, Dash A, Elmayan A, Schwartzenburg H, Tu W, Riegel C, Herrera C, Blum MJ. In the heart of the city: Trypanosoma cruzi infection prevalence in rodents across New Orleans. Parasit Vectors 2020; 13:577. [PMID: 33189151 PMCID: PMC7666460 DOI: 10.1186/s13071-020-04446-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 10/30/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Trypanosoma cruzi - the causative agent of Chagas disease - is known to circulate in commensal pests, but its occurrence in urban environments is not well understood. We addressed this deficit by determining the distribution and prevalence of T. cruzi infection in urban populations of commensal and wild rodents across New Orleans (Louisiana, USA). We assessed whether T. cruzi prevalence varies according to host species identity and species co-occurrences, and whether T. cruzi prevalence varies across mosaics of abandonment that shape urban rodent demography and assemblage structure in the city. METHODS Leveraging city-wide population and assemblage surveys, we tested 1428 rodents comprising 5 species (cotton rats, house mice, Norway rats, rice rats and roof rats) captured at 98 trapping sites in 11 study areas across New Orleans including nine residential neighborhoods and a natural area in Orleans Parish and a neighborhood in St. Bernard Parish. We also assayed Norway rats at one site in Baton Rouge (Louisiana, USA). We used chi-square tests to determine whether infection prevalence differed among host species, among study areas, and among trapping sites according to the number of host species present. We used generalized linear mixed models to identify predictors of T. cruzi infection for all rodents and each host species, respectively. RESULTS We detected T. cruzi in all host species in all study areas in New Orleans, but not in Baton Rouge. Though overall infection prevalence was 11%, it varied by study area and trapping site. There was no difference in prevalence by species, but roof rats exhibited the broadest geographical distribution of infection across the city. Infected rodents were trapped in densely populated neighborhoods like the French Quarter. Infection prevalence seasonally varied with abandonment, increasing with greater abandonment during the summer and declining with greater abandonment during the winter. CONCLUSIONS Our findings illustrate that T. cruzi can be widespread in urban landscapes, suggesting that transmission and disease risk is greater than is currently recognized. Our findings also suggest that there is disproportionate risk of transmission in historically underserved communities, which could reinforce long-standing socioecological disparities in New Orleans and elsewhere.
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Affiliation(s)
- Bruno M. Ghersi
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN USA
| | - Anna C. Peterson
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN USA
| | - Nathaniel L. Gibson
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN USA
| | - Asha Dash
- Department of Tropical Medicine, Vector-Borne Infectious Disease Research Center, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA USA
| | - Ardem Elmayan
- Department of Tropical Medicine, Vector-Borne Infectious Disease Research Center, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA USA
| | - Hannah Schwartzenburg
- Department of Tropical Medicine, Vector-Borne Infectious Disease Research Center, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA USA
| | - Weihong Tu
- Department of Tropical Medicine, Vector-Borne Infectious Disease Research Center, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA USA
| | - Claudia Riegel
- City of New Orleans Mosquito, Termite, Rodent Control Board, New Orleans, LA USA
| | - Claudia Herrera
- Department of Tropical Medicine, Vector-Borne Infectious Disease Research Center, Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA USA
| | - Michael J. Blum
- Department of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, TN USA
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Gorla DE. Geospatial tools and Chagas control: a critical comment on the paper of Weinberg et al., Evaluation and planning of Chagas control activities using geospatial tools. Geospat Health 2019;14:229-238. GEOSPATIAL HEALTH 2020; 15. [PMID: 32575975 DOI: 10.4081/gh.2020.901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 05/26/2020] [Indexed: 06/11/2023]
Abstract
The contribution of the geospatial tools to the vector control activities of Chagas disease is very clear for the academic and technology-prone communities, but not so much for the state-dependent health agents (national or provincial) that are ultimately responsible for disease control in Latin America. (...).
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Affiliation(s)
- David E Gorla
- Instituto de Diversidad y Ecología Animal, CONICET - Universidad Nacional de Córdoba.
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Modelling triatomine bug population and Trypanosoma rangeli transmission dynamics: Co-feeding, pathogenic effect and linkage with chagas disease. Math Biosci 2020; 324:108326. [PMID: 32092467 DOI: 10.1016/j.mbs.2020.108326] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 02/18/2020] [Accepted: 02/18/2020] [Indexed: 11/21/2022]
Abstract
Trypanosoma rangeli (T. rangeli), a parasite, is not pathogenic to human but pathogenic to some vector species to induce the behavior changes of infected vectors and subsequently impact the transmission dynamics of other diseases such as Chagas disease which shares the same vector species. Here we develop a mathematical model and conduct qualitative analysis for the transmission dynamics of T. rangeli. We incorporate both systemic and co-feeding transmission routes, and account for the pathogenic effect using infection-induced fecundity and fertility change of the triatomine bugs. We derive two thresholds Rv (the triatomine bug basic reproduction number) and R0 (the T. rangeli basic reproduction number) to delineate the dynamical behaviors of the ecological and epidemiological systems. We show that when Rv>1 and R0>1, a unique parasite positive equilibrium E* appears. We find that E* can be unstable and periodic oscillations can be observed where the pathogenic effect plays a significant role. Implications of the qualitative analysis and numerical simulations suggest the need of an integrative vector-borne disease prevention and control strategy when multiple vector-borne diseases are transmitted by the same set of vector species.
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Buttenheim AM, Paz-Soldán VA, Castillo-Neyra R, Toledo Vizcarra AM, Borrini-Mayori K, McGuire M, Arevalo-Nieto C, Volpp KG, Small DS, Behrman JR, Naquira-Verlarde C, Levy MZ. Increasing participation in a vector control campaign: a cluster randomised controlled evaluation of behavioural economic interventions in Peru. BMJ Glob Health 2018; 3:e000757. [PMID: 30271624 PMCID: PMC6157568 DOI: 10.1136/bmjgh-2018-000757] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 07/30/2018] [Accepted: 08/03/2018] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE To assess the efficacy of strategies informed by behavioural economics for increasing participation in a vector control campaign, compared with current practice. DESIGN Pragmatic cluster randomised controlled trial. SETTING Arequipa, Peru. PARTICIPANTS 4922 households. INTERVENTIONS Households were randomised to one of four arms: advanced planning, leader recruitment, contingent group lotteries, or control. MAIN OUTCOME MEASURES Participation (allowing the house to be sprayed with insecticide) during the vector control campaign. RESULTS In intent-to-treat analyses, none of the interventions increased participation compared with control (advanced planning adjusted OR (aOR) 1.07 (95% CI 0.87 to 1.32); leader recruitment aOR 0.95 (95% CI 0.78 to 1.15); group lotteries aOR 1.12 (95% CI 0.89 to 1.39)). The interventions did not improve the efficiency of the campaign (additional minutes needed to spray house from generalised estimating equation regressions: advanced planning 1.08 (95% CI -1.02 to 3.17); leader recruitment 3.91 (95% CI 1.85 to 5.97); group lotteries 3.51 (95% CI 1.38 to 5.64)) nor did it increase the odds that houses would be sprayed in an earlier versus a later stage of the campaign cycle (advanced planning aOR 0.94 (95% CI 0.76 to 1.25); leader recruitment aOR 0.68 (95% CI 0.55 to 0.83); group lotteries aOR 1.19 (95% CI 0.96 to 1.47)). A post hoc analysis suggested that advanced planning increased odds of participation compared with control among households who had declined to participate previously (aOR 2.50 (95% CI 1.41 to 4.43)). CONCLUSIONS Achieving high levels of household participation is crucial for many disease prevention efforts. Our trial was not successful in improving participation compared with the existing campaign. The trial highlights persistent challenges to field experiments as well as lessons about the intervention design process, particularly understanding barriers to participation through a behavioural lens. TRIAL REGISTRATION NUMBER American Economic Association AEARCTR-0000620.
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Affiliation(s)
- Alison M Buttenheim
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Valerie A Paz-Soldán
- Global Community Health and Behavioral Sciences, Tulane University, New Orleans, Louisiana, USA
| | - Ricardo Castillo-Neyra
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Amparo M Toledo Vizcarra
- Zoonotic Disease Research Lab, OneHealth Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Arequipa, Peru
| | - Katty Borrini-Mayori
- Zoonotic Disease Research Lab, OneHealth Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Arequipa, Peru
| | - Molly McGuire
- Global Community Health and Behavioral Sciences, Tulane University, New Orleans, Louisiana, USA
| | - Claudia Arevalo-Nieto
- Zoonotic Disease Research Lab, OneHealth Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Arequipa, Peru
| | - Kevin G Volpp
- Medical Ethics and Health Policy, School of Medicine, University of Pennsylvania Perelman, Philadelphia, Pennsylvania, USA
| | - Dylan S Small
- Department of Statistics, University of Pennsylvania Wharton School, Philadelphia, Pennsylvania, USA
| | - Jere R Behrman
- Department of Economics School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Michael Z Levy
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Oduro B, Grijalva MJ, Just W. Models of Disease Vector Control: When Can Aggressive Initial Intervention Lower Long-Term Cost? Bull Math Biol 2018; 80:788-824. [PMID: 29404878 DOI: 10.1007/s11538-018-0401-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 01/24/2018] [Indexed: 10/18/2022]
Abstract
Insecticide spraying of housing units is an important control measure for vector-borne infections such as Chagas disease. As vectors may invade both from other infested houses and sylvatic areas and as the effectiveness of insecticide wears off over time, the dynamics of (re)infestations can be approximated by [Formula: see text]-type models with a reservoir, where housing units are treated as hosts, and insecticide spraying corresponds to removal of hosts. Here, we investigate three ODE-based models of this type. We describe a dual-rate effect where an initially very high spraying rate can push the system into a region of the state space with low endemic levels of infestation that can be maintained in the long run at relatively moderate cost, while in the absence of an aggressive initial intervention the same average cost would only allow a much less significant reduction in long-term infestation levels. We determine some sufficient and some necessary conditions under which this effect occurs and show that it is robust in models that incorporate some heterogeneity in the relevant properties of housing units.
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Affiliation(s)
- Bismark Oduro
- Department of Mathematics, Ohio University, Athens, OH, 45701, USA.
| | - Mario J Grijalva
- Department of Biomedical Sciences, Infectious and Tropical Disease Institute, Ohio University, Athens, OH, 45701, USA.,Center for Health Research in Latin America, School of Biological Sciences, Pontifical Catholic University of Ecuador, Quito, Ecuador
| | - Winfried Just
- Department of Mathematics, Ohio University, Athens, OH, 45701, USA
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LaDeau SL, Allan BF, Leisnham PT, Levy MZ. The ecological foundations of transmission potential and vector-borne disease in urban landscapes. Funct Ecol 2015; 29:889-901. [PMID: 26549921 PMCID: PMC4631442 DOI: 10.1111/1365-2435.12487] [Citation(s) in RCA: 120] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Urban transmission of arthropod-vectored disease has increased in recent decades. Understanding and managing transmission potential in urban landscapes requires integration of sociological and ecological processes that regulate vector population dynamics, feeding behavior, and vector-pathogen interactions in these unique ecosystems. Vectorial capacity is a key metric for generating predictive understanding about transmission potential in systems with obligate vector transmission. This review evaluates how urban conditions, specifically habitat suitability and local temperature regimes, and the heterogeneity of urban landscapes can influence the biologically-relevant parameters that define vectorial capacity: vector density, survivorship, biting rate, extrinsic incubation period, and vector competence.Urban landscapes represent unique mosaics of habitat. Incidence of vector-borne disease in urban host populations is rarely, if ever, evenly distributed across an urban area. The persistence and quality of vector habitat can vary significantly across socio-economic boundaries to influence vector species composition and abundance, often generating socio-economically distinct gradients of transmission potential across neighborhoods.Urban regions often experience unique temperature regimes, broadly termed urban heat islands (UHI). Arthropod vectors are ectothermic organisms and their growth, survival, and behavior are highly sensitive to environmental temperatures. Vector response to UHI conditions is dependent on regional temperature profiles relative to the vector's thermal performance range. In temperate climates UHI can facilitate increased vector development rates while having countervailing influence on survival and feeding behavior. Understanding how urban heat island (UHI) conditions alter thermal and moisture constraints across the vector life cycle to influence transmission processes is an important direction for both empirical and modeling research.There remain persistent gaps in understanding of vital rates and drivers in mosquito-vectored disease systems, and vast holes in understanding for other arthropod vectored diseases. Empirical studies are needed to better understand the physiological constraints and socio-ecological processes that generate heterogeneity in critical transmission parameters, including vector survival and fitness. Likewise, laboratory experiments and transmission models must evaluate vector response to realistic field conditions, including variability in sociological and environmental conditions.
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Affiliation(s)
| | - Brian F. Allan
- Department of Entomology, University of Illinois, Urbana, IL, USA
| | - Paul T. Leisnham
- Concentration in Ecosystem Health and Natural Resource Management, Department of Environmental Science & Technology, University of Maryland, College Park, MD, USA
| | - Michael Z. Levy
- Department of Biostatistics & Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
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9
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Levy MZ, Barbu CM, Castillo-Neyra R, Quispe-Machaca VR, Ancca-Juarez J, Escalante-Mejia P, Borrini-Mayori K, Niemierko M, Mabud TS, Behrman JR, Naquira-Velarde C. Urbanization, land tenure security and vector-borne Chagas disease. Proc Biol Sci 2015; 281:20141003. [PMID: 24990681 DOI: 10.1098/rspb.2014.1003] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Modern cities represent one of the fastest growing ecosystems on the planet. Urbanization occurs in stages; each stage characterized by a distinct habitat that may be more or less susceptible to the establishment of disease vector populations and the transmission of vector-borne pathogens. We performed longitudinal entomological and epidemiological surveys in households along a 1900 × 125 m transect of Arequipa, Peru, a major city of nearly one million inhabitants, in which the transmission of Trypanosoma cruzi, the aetiological agent of Chagas disease, by the insect vector Triatoma infestans, is an ongoing problem. The transect spans a cline of urban development from established communities to land invasions. We find that the vector is tracking the development of the city, and the parasite, in turn, is tracking the dispersal of the vector. New urbanizations are free of vector infestation for decades. T. cruzi transmission is very recent and concentrated in more established communities. The increase in land tenure security during the course of urbanization, if not accompanied by reasonable and enforceable zoning codes, initiates an influx of construction materials, people and animals that creates fertile conditions for epidemics of some vector-borne diseases.
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Affiliation(s)
- Michael Z Levy
- Department of Biostatistics and Epidemiology, The Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
| | - Corentin M Barbu
- Department of Biostatistics and Epidemiology, The Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
| | - Ricardo Castillo-Neyra
- Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Victor R Quispe-Machaca
- Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
| | - Jenny Ancca-Juarez
- Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
| | - Patricia Escalante-Mejia
- Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
| | - Katty Borrini-Mayori
- Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
| | - Malwina Niemierko
- Department of Biostatistics and Epidemiology, The Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
| | - Tarub S Mabud
- Department of Biostatistics and Epidemiology, The Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jere R Behrman
- Departments of Economics and Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Cesar Naquira-Velarde
- Universidad Peruana Cayetano Heredia/University of Pennsylvania Chagas Disease Field Laboratory, Arequipa, Peru
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Nouvellet P, Cucunubá ZM, Gourbière S. Ecology, evolution and control of Chagas disease: a century of neglected modelling and a promising future. ADVANCES IN PARASITOLOGY 2015; 87:135-91. [PMID: 25765195 DOI: 10.1016/bs.apar.2014.12.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
More than 100 years after its formal description, Chagas disease remains a major public health concern in Latin America with a yearly burden of 430,000 Disability-Adjusted Life Years (DALYs). The aetiological agent, a protozoan named Trypanosoma cruzi, is mainly transmitted to mammalian hosts by triatomine vectors. Multiple species of mammals and triatomines can harbour and transmit the parasite, and the feeding range of triatomine species typically includes many noncompetent hosts. Furthermore, the transmission of the pathogen can occur via several routes including the typical vector's faeces, but also oral, congenital and blood transfusion routes. These ecological and epidemiological complexities of the disease have hindered many control initiatives. In such a context, mathematical models provide invaluable tools to explore and understand the dynamics of T. cruzi transmission, and to design, optimize and monitor the efficacy of control interventions. We intend here to provide the first review of the mathematical models of Chagas disease, focussing on how they have contributed to our understanding of (1) the population dynamics and control of triatomine vectors, and (2) the epidemiology of T. cruzi infections. We also aim at suggesting promising lines of modelling that could further improve our understanding of the ecology, evolution, and control of the disease.
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Affiliation(s)
- Pierre Nouvellet
- Medical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Zulma M Cucunubá
- Grupo de Parasitología, Instituto Nacional de Salud, Colombia; Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | - Sébastien Gourbière
- Institut de Modélisation et d'Analyse en Géo-Environnements et Santé (IMAGES), Université de Perpignan Via Domitia, Perpignan, France
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Wu Y, Tracy DM, Barbarin AM, Barbu CM, Levy MZ. A door-to-door survey of bed bug (Cimex lectularius) infestations in row homes in Philadelphia, Pennsylvania. Am J Trop Med Hyg 2014; 91:206-10. [PMID: 24799372 DOI: 10.4269/ajtmh.13-0714] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
We conducted a door-to-door survey in a residential census tract of Philadelphia to estimate the prevalence and spatial patterns of recent bed bug infestations. We interviewed 596 residents, of whom 66 (11.1%) reported recent bed bug infestations. We confirmed current infestations in a subset of 15 (68.2%) of 22 inspected households. Most residents reported that their infestation began within the past year (2012-2013). We found no correlation between property value and infestation status. Spatial analyses showed significant clustering of bed bug infestations only at fine scales, suggesting limited active dispersal of the insects. Residents used a large variety of treatment methods to eliminate bed bugs, but only 48.1% reported success. Our results provide a prevalence estimate of recent bed bug infestations and highlight the importance of passive rather than active dispersal of bed bugs even among dense urban row homes.
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Affiliation(s)
- Yage Wu
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Dylan M Tracy
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Alexis M Barbarin
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Corentin M Barbu
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Michael Z Levy
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
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Buttenheim AM, Paz-Soldan V, Barbu C, Skovira C, Quintanilla Calderón J, Mollesaca Riveros LM, Cornejo JO, Small DS, Bicchieri C, Naquira C, Levy MZ. Is participation contagious? Evidence from a household vector control campaign in urban Peru. J Epidemiol Community Health 2013; 68:103-9. [PMID: 24062411 DOI: 10.1136/jech-2013-202661] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVES High rates of household participation are critical to the success of door-to-door vector control campaigns. We used the Health Belief Model to assess determinants of participation, including neighbour participation as a cue to action, in a Chagas disease vector control campaign in Peru. METHODS We evaluated clustering of participation among neighbours; estimated participation as a function of household infestation status, neighbourhood type and number of participating neighbours; and described the reported reasons for refusal to participate in a district of 2911 households. RESULTS We observed significant clustering of participation along city blocks (p<0.0001). Participation was significantly higher for households in new versus established neighbourhoods, for infested households, and for households with more participating neighbours. The effect of neighbour participation was greater in new neighbourhoods. CONCLUSIONS Results support a 'contagion' model of participation, highlighting the possibility that one or two participating households can tip a block towards full participation. Future campaigns can leverage these findings by making participation more visible, by addressing stigma associated with spraying, and by employing group incentives to spray.
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Affiliation(s)
- Alison M Buttenheim
- University of Pennsylvania School of Nursing, Family and Community Health, , Philadelphia, Pennsylvania, USA
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Foley EA, Khatchikian CE, Hwang J, Ancca-Juárez J, Borrini-Mayori K, Quıspe-Machaca VR, Levy MZ, Brisson D. Population structure of the Chagas disease vector, Triatoma infestans, at the urban-rural interface. Mol Ecol 2013; 22:5162-71. [PMID: 24103030 DOI: 10.1111/mec.12471] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2012] [Revised: 06/20/2013] [Accepted: 06/24/2013] [Indexed: 11/29/2022]
Abstract
The increasing rate of biological invasions resulting from human transport or human-mediated changes to the environment has had devastating ecological and public health consequences. The kissing bug, Triatoma infestans, has dispersed through the Peruvian city of Arequipa. The biological invasion of this insect has resulted in a public health crisis, putting thousands of residents of this city at risk of infection by Trypanosoma cruzi and subsequent development of Chagas disease. Here, we show that populations of Tria. infestans in geographically distinct districts within and around this urban centre share a common recent evolutionary history although current gene flow is restricted even between proximal sites. The population structure among the Tria. infestans in different districts is not correlated with the geographical distance between districts. These data suggest that migration among the districts is mediated by factors beyond the short-range migratory capabilities of Tria. infestans and that human movement has played a significant role in the structuring of the Tria. infestans population in the region. Rapid urbanization across southern South America will continue to create suitable environments for Tria. infestans, and knowledge of its urban dispersal patterns may play a fundamental role in mitigating human disease risk.
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Affiliation(s)
- Erica A Foley
- Leidy Laboratories, Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Barbu CM, Hong A, Manne JM, Small DS, Quintanilla Calderón JE, Sethuraman K, Quispe-Machaca V, Ancca-Juárez J, Cornejo del Carpio JG, Málaga Chavez FS, Náquira C, Levy MZ. The effects of city streets on an urban disease vector. PLoS Comput Biol 2013; 9:e1002801. [PMID: 23341756 PMCID: PMC3547802 DOI: 10.1371/journal.pcbi.1002801] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2012] [Accepted: 10/12/2012] [Indexed: 11/18/2022] Open
Abstract
With increasing urbanization vector-borne diseases are quickly developing in cities, and urban control strategies are needed. If streets are shown to be barriers to disease vectors, city blocks could be used as a convenient and relevant spatial unit of study and control. Unfortunately, existing spatial analysis tools do not allow for assessment of the impact of an urban grid on the presence of disease agents. Here, we first propose a method to test for the significance of the impact of streets on vector infestation based on a decomposition of Moran's spatial autocorrelation index; and second, develop a Gaussian Field Latent Class model to finely describe the effect of streets while controlling for cofactors and imperfect detection of vectors. We apply these methods to cross-sectional data of infestation by the Chagas disease vector Triatoma infestans in the city of Arequipa, Peru. Our Moran's decomposition test reveals that the distribution of T. infestans in this urban environment is significantly constrained by streets (p<0.05). With the Gaussian Field Latent Class model we confirm that streets provide a barrier against infestation and further show that greater than 90% of the spatial component of the probability of vector presence is explained by the correlation among houses within city blocks. The city block is thus likely to be an appropriate spatial unit to describe and control T. infestans in an urban context. Characteristics of the urban grid can influence the spatial dynamics of vector borne disease and should be considered when designing public health policies.
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Affiliation(s)
- Corentin M. Barbu
- Center for Clinical Epidemiology & Biostatistics - Department of Biostatistics & Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- * E-mail: (CMB); (MZL)
| | - Andrew Hong
- Department of Statistics, The Wharton School University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jennifer M. Manne
- Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Dylan S. Small
- Department of Statistics, The Wharton School University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | | | - Karthik Sethuraman
- Center for Clinical Epidemiology & Biostatistics - Department of Biostatistics & Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | | | - Jenny Ancca-Juárez
- Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | | | - César Náquira
- Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Michael Z. Levy
- Center for Clinical Epidemiology & Biostatistics - Department of Biostatistics & Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- * E-mail: (CMB); (MZL)
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Manne J, Nakagawa J, Yamagata Y, Goehler A, Brownstein JS, Castro MC. Triatomine infestation in Guatemala: spatial assessment after two rounds of vector control. Am J Trop Med Hyg 2012; 86:446-54. [PMID: 22403315 DOI: 10.4269/ajtmh.2012.11-0052] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
In 2000, the Guatemalan Ministry of Health initiated a Chagas disease program to control Rhodnius prolixus and Triatoma dimidiata by periodic house spraying with pyrethroid insecticides to characterize infestation patterns and analyze the contribution of programmatic practices to these patterns. Spatial infestation patterns at three time points were identified using the Getis-Ord Gi*(d) test. Logistic regression was used to assess predictors of reinfestation after pyrethroid insecticide administration. Spatial analysis showed high and low clusters of infestation at three time points. After two rounds of spray, 178 communities persistently fell in high infestation clusters. A time lapse between rounds of vector control greater than 6 months was associated with 1.54 (95% confidence interval = 1.07-2.23) times increased odds of reinfestation after first spray, whereas a time lapse of greater than 1 year was associated with 2.66 (95% confidence interval = 1.85-3.83) times increased odds of reinfestation after first spray compared with localities where the time lapse was less than 180 days. The time lapse between rounds of vector control should remain under 1 year. Spatial analysis can guide targeted vector control efforts by enabling tracking of reinfestation hotspots and improved targeting of resources.
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Affiliation(s)
- Jennifer Manne
- Department of Global Health and Population, Harvard University School of Public Health, Boston, Massachusetts 02115, USA.
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Stevens L, Dorn PL, Schmidt JO, Klotz JH, Lucero D, Klotz SA. Kissing bugs. The vectors of Chagas. ADVANCES IN PARASITOLOGY 2011; 75:169-92. [PMID: 21820556 DOI: 10.1016/b978-0-12-385863-4.00008-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
A complete picture of Chagas disease requires an appreciation of the many species of kissing bugs and their role in transmitting this disease to humans and other mammals. This chapter provides an overview of the taxonomy of the major species of kissing bugs and their evolution. Knowledge of systematics and biological kinship of these insects may contribute to novel and useful measures to control the bugs. The biology of kissing bugs, their life cycle, method of feeding and other behaviours contributing to the transmission of Trypanosoma cruzi are explained. We close with a discussion of vector control measures and the allergic complications of kissing bug bites, a feature of particular importance in the United States.
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Affiliation(s)
- Lori Stevens
- Department of Biology, University of Vermont, Burlington, VT, USA
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