Literature DB >> 33216770

Mathematical modelling and control of African animal trypanosomosis with interacting populations in West Africa-Could biting flies be important in main taining the disease endemicity?

Paul Olalekan Odeniran1,2, Akindele Akano Onifade3, Ewan Thomas MacLeod2, Isaiah Oluwafemi Ademola1, Simon Alderton4, Susan Christina Welburn2,5.   

Abstract

African animal trypanosomosis (AAT) is transmitted cyclically by tsetse flies and mechanically by biting flies (tabanids and stomoxyines) in West Africa. AAT caused by Trypanosoma congolense, T. vivax and T. brucei brucei is a major threat to the cattle industry. A mathematical model involving three vertebrate hosts (cattle, small ruminants and wildlife) and three vector flies (Tsetse flies, tabanids and stomoxyines) was described to identify elimination strategies. The basic reproduction number (R0) was obtained with respect to the growth rate of infected wildlife (reservoir hosts) present around the susceptible population using a next generation matrix technique. With the aid of suitable Lyapunov functions, stability analyses of disease-free and endemic equilibria were established. Simulation of the predictive model was presented by solving the system of ordinary differential equations to explore the behaviour of the model. An operational area in southwest Nigeria was simulated using generated pertinent data. The R0 < 1 in the formulated model indicates the elimination of AAT. The comprehensive use of insecticide treated targets and insecticide treated cattle (ITT/ITC) affected the feeding tsetse and other biting flies resulting in R0 < 1. The insecticide type, application timing and method, expertise and environmental conditions could affect the model stability. In areas with abundant biting flies and no tsetse flies, T. vivax showed R0 > 1 when infected wildlife hosts were present. High tsetse populations revealed R0 <1 for T. vivax when ITT and ITC were administered, either individually or together. Elimination of the transmitting vectors of AAT could cost a total of US$ 1,056,990 in southwest Nigeria. Hence, AAT in West Africa can only be controlled by strategically applying insecticides targeting all transmitting vectors, appropriate use of trypanocides, and institutionalising an appropriate barrier between the domestic and sylvatic areas.

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Year:  2020        PMID: 33216770      PMCID: PMC7679153          DOI: 10.1371/journal.pone.0242435

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  37 in total

1.  Glossina austeni (Diptera: Glossinidae) eradicated on the island of Unguja, Zanzibar, using the sterile insect technique.

Authors:  M J Vreysen; K M Saleh; M Y Ali; A M Abdulla; Z R Zhu; K G Juma; V A Dyck; A R Msangi; P A Mkonyi; H U Feldmann
Journal:  J Econ Entomol       Date:  2000-02       Impact factor: 2.381

2.  Lyapunov functions and global properties for SEIR and SEIS epidemic models.

Authors:  Andrei Korobeinikov
Journal:  Math Med Biol       Date:  2004-06       Impact factor: 1.854

3.  Assessing the economics of animal trypanosomosis in Africa--history and current perspectives.

Authors:  A P M Shaw
Journal:  Onderstepoort J Vet Res       Date:  2009-03       Impact factor: 1.792

4.  Estimating the costs of tsetse control options: an example for Uganda.

Authors:  A P M Shaw; S J Torr; C Waiswa; G Cecchi; G R W Wint; R C Mattioli; T P Robinson
Journal:  Prev Vet Med       Date:  2013-02-28       Impact factor: 2.670

5.  Molecular identification of bloodmeal sources and trypanosomes in Glossina spp., Tabanus spp. and Stomoxys spp. trapped on cattle farm settlements in southwest Nigeria.

Authors:  P O Odeniran; E T Macleod; I O Ademola; S C Welburn
Journal:  Med Vet Entomol       Date:  2019-02-07       Impact factor: 2.739

6.  A general model for mortality in adult tsetse (Glossina spp.).

Authors:  J W Hargrove; R Ouifki; J E Ameh
Journal:  Med Vet Entomol       Date:  2011-03-17       Impact factor: 2.739

Review 7.  Bovine and small ruminant African animal trypanosomiasis in Nigeria - A review.

Authors:  Paul Olalekan Odeniran; Isaiah Oluwafemi Ademola; Ewan Thomas Macleod; Susan Christina Welburn
Journal:  Vet Parasitol Reg Stud Reports       Date:  2018-03-15

8.  Trypanosoma vivax: mechanical transmission in cattle by one of the most common African tabanids, Atylotus agrestis.

Authors:  Marc Desquesnes; Mamadou Lamine Dia
Journal:  Exp Parasitol       Date:  2003 Jan-Feb       Impact factor: 2.011

9.  Tsetse fly (G. f. fuscipes) distribution in the Lake Victoria basin of Uganda.

Authors:  Mugenyi Albert; Nicola A Wardrop; Peter M Atkinson; Steve J Torr; Susan C Welburn
Journal:  PLoS Negl Trop Dis       Date:  2015-04-15

10.  Epizootic Infection by Trypanosoma vivax in Cattle from the State of Minas Gerais, Brazil.

Authors:  Matheus de Oliveira Reis; Fernanda Rezende Souza; Adriana Silva Albuquerque; Fernanda Monteiro; Luan Francisco Dos Santos Oliveira; Djeison Lutier Raymundo; Flademir Wouters; Angélica Terezinha Barth Wouters; Ana Paula Peconick; Mary Suzan Varaschin
Journal:  Korean J Parasitol       Date:  2019-04-30       Impact factor: 1.341

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  3 in total

1.  Correction: Mathematical modelling and control of African animal trypanosomosis with interacting populations in West Africa-Could biting flies be important in maintaining the disease endemicity?

Authors:  Paul Olalekan Odeniran; Akindele Akano Onifade; Ewan Thomas MacLeod; Isaiah Oluwafemi Ademola; Simon Alderton; Susan Christina Welburn
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

2.  Spatial meta-analysis of the occurrence and distribution of tsetse-transmitted animal trypanosomiasis in Cameroon over the last 30 years.

Authors:  Silas Lendzele Sevidzem; Aubin Armel Koumba; Jacques François Mavoungou; Peter Andrew Windsor
Journal:  Epidemiol Infect       Date:  2022-04-27       Impact factor: 4.434

3.  Parasite co-infection: an ecological, molecular and experimental perspective.

Authors:  Frank Venter; Keith R Matthews; Eleanor Silvester
Journal:  Proc Biol Sci       Date:  2022-01-19       Impact factor: 5.349

  3 in total

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