Skip to main content

ORIGINAL RESEARCH article

Front. Vet. Sci., 28 February 2022
Sec. Veterinary Epidemiology and Economics

Seasonal Patterns: Bovine Trypanosomosis, Glossina pallidipes Density, and Infection in Rift Valleys of Gamo Zone, Southern Ethiopia

\nWasihun SeyoumWasihun Seyoum1Ephrem Tora
Ephrem Tora1*Kokeb KoreKokeb Kore2Firew LejeboFirew Lejebo2
  • 1Department of Animal Science and Health, College of Agricultural Sciences, Arba Minch University, Arba Minch, Ethiopia
  • 2National Institute for Control and Eradication of Tsetse Fly and Trypanosomosis, Arba Minch, Ethiopia

Bovine trypanosomosis is a parasitic disease causing serious economic losses in livestock productivity and agricultural development. The disease has been reported in different parts of Ethiopia. However, seasonal pattern of trypanosomosis, tsetse fly apparent density, and infection are very limited in the southern rift valley of the country, particularly in Gamo Zone. Therefore, the objective of this cross-sectional study design was to estimate seasonal prevalence of bovine trypanosomosis, assessing tsetse fly apparent density and its infection by trypanosomes. For the parasitological study, a total of 600 cattle (300 in each season) were sampled and assayed using the buffy coat technique. A total of 80 standard NGU traps were deployed around the watering and grazing areas for the entomological survey. An overall prevalence of trypanosomosis was 10.17% (61/600), of which 7.33% (22/300) and 13% (39/300) accounted for the dry and wet seasons, respectively. The prevalence of trypanosomosis was significantly higher during the wet season (OR = 2.47; p < 0.05), in black coat color (OR = 7.2, p < 0.05), and poor body-conditioned (OR = 3.15; p < 0.05) animals. Two species of trypanosomes, Trypanosoma congolense, 68.85% (42/61), and Trypanosoma vivax, 31.15% (19/61), were circulating in the area. The mean PCV value in infected animals (22.56 ± 4.61) was significantly lower than in non-infected animals (25.3 ± 4.75). Entomological result indicated that Glossina pallidipes (G. pallidipes) was the only species of tsetse found in the study area. Totally, 3,789 flies were caught of which 81.42% (3,085/3,789) belong to G. pallidipes and 18.58% (704/3,789) were other biting flies. The overall apparent density of G. pallidipes was 12.85 flies/trap/day (FTD). Relatively higher G. pallidipes/trap/day were caught in the wet season (13.64 F/T/D) than in the dry season (12.07F/T/D). Of the flies caught, 342 G. pallidipes were randomly selected and dissected. The overall proportion of G. pallidipes infection was 18.42% (63/342) of which 12.28% (21/171) and 24.56% (42/171) were accounted in the dry and wet seasons, respectively. Infection in G. pallidipes was significantly higher during the wet season (OR = 2.32; p < 0.05) and in park grazing areas (OR = 2.45; p < 0.05). In conclusion, trypanosomosis is the major challenge for cattle productivity in the district. So this study warrants the need for strengthening the vector and parasite control interventions in the area.

Introduction

African animal trypanosomiasis is one of the major animal health problems posing a significant effect on the settlement and socioeconomic development over large tsetse belt regions of the continent. In Sub-Saharan Africa, including East Africa, the vector of a disease is distributed over 10 million km2 of potential grazing lands in 37 countries, exposing the lives of around 55 million people and 160 million cattle to the risk of a disease (14). The overall economic loss (both direct and indirect) is estimated to be about 500 billion dollars a year in terms of mortality, production, abortion, reduced fertility, and ability to work as traction animals. Furthermore, the disease is responsible for an annual loss of millions of dollars in livestock health and production as a result of the cost related to treatment, prevention, and vector control efforts (1, 5).

Ethiopia has huge livestock population in Africa, and the livestock sector plays a significant role in the national economy and livelihood of farmers and pastoralists (6). The subsector contributes about 16.5% of the national gross domestic product (GDP) and 35.6% of the agricultural GDP. Despite this huge livestock number, productivity is too low and even below the average for most Eastern and Sub-Saharan African countries, due to a number of complex and interrelated factors, such as inadequate feed and nutrition, widespread diseases, poor genetic potential of local breeds, and inefficiency of livestock development services (7). Among these, trypanosomosis is one of the major animal health constraints to livestock production and agricultural development (8).

Trypanosomosis is a chronic hemoprotozoan disease of domestic animals and humans caused by different species of unicellular eukaryotic parasite of the genus Trypanosoma (8). With an exception of Trypanosoma equiperdum of equines, which causes a venereal disease, all have arthropod vectors in which the transmission is either cyclically by tsetse flies of the Glossina species or non-cyclical by many other insects (9, 10). Cattle affected with trypanosomosis can show major clinical manifestations of a disease, such as intermittent fever, anemia, anorexia, dullness, apathy, watery ocular discharge, reproductive disorder, and superficial lymph node enlargement. The animals progressively become emaciated and cachectic, and finally die if untreated (11).

Bovine trypanosomosis is highly prevalent and distributed in the most arable and fertile land of the southwest and northwest part of Ethiopia following the low lands and greater river basins of Abay, Omo, Akabo, Didessa, Ghibe, and Baro (12, 13). The disease has been reported in different parts of the country with apparent prevalence ranging from 1.38 to 17.15% (14). Currently about 220,000 km2 areas of the abovementioned regions of the country are infested by five Glossina species, namely, Glossina pallidipes, Glossina morsitans submorsitans, Glossina fuscipes, Glossina tachinoides, and Glossina longipennis. In the country, the most commonly reported and important Trypanosoma species affecting cattle include Trypanosoma congolense, Trypanosoma vivax, and Trypanosoma brucei (15, 16). It is estimated that 10 to 14 million cattle heads in Ethiopia are exposed to the risk of trypanosomosis (14). Cattle production plays a key role in the livelihood of southern regions of Ethiopia, but their production potential is not fully utilized and challenged due to trypanosomosis (15, 17).

Arba Minch Zuria district of southern Ethiopia is one of the well-known tsetse belt areas of East Africa. The district was highly infested with Glossina pallidipes and biting flies like Tabanus and Stomoxys (18, 19). In turn, bovine trypanosomosis is one of the most important livestock diseases in the district, which poses a serious threat to the lives and livelihood of entire communities. Almost all cattle in, and adjacent of, the district are at risk of acquiring the disease at any time. As a result, people in the district suffer from low level of draft power and productivity of their animals (2022).

Over the past few decades, many efforts have been made to control tsetse and trypanosomosis in Ethiopia through coordinated action of the government, non-governmental organizations, and local community. The control interventions commonly used in Ethiopia include insecticidal pour-on, insecticide-impregnated traps and targets, and use of different trypanocidal drugs (8, 16). However, information related to temporal and spatial dynamics of tsetse and trypanosomes remain very limited and may be a reason that control strategies are less effective and fail in endemic areas (17, 23). Hence, the epidemiological knowledge on seasonal prevalence of bovine trypanosomosis and distribution of the tsetse fly are paramount in formulating appropriate strategies for the control of these problems (24). Also in Ethiopia, a few studies were conducted regarding the seasonal dynamics on the prevalence of the disease, apparent density, and trypanosome infection rate in the tsetse fly, while no studies were performed in the current study area. Therefore, this study was conducted to estimate seasonal prevalence of bovine trypanosomosis, to assess tsetse fly apparent density and its infection by trypanosome.

Materials and Methods

Study Area Description

The study was conducted from July 2018 to June 2019 in the rift valley of Arba Minch Zuria district of Gamo Zone, Southern Ethiopia, which includes dry (December to February) and wet (July to September) seasons (Figure 1). The Arba Minch Zuria district is situated in the well-known area of East Africa rift valley and surrounded by the Chamo and Abaya lakes as well as the “Nech Sar” national park. Topographically, massifs, plains, steep slopes, and gorges along the course of a number of streams, rivers, and lakes mark these areas. The altitude of the area ranges from 1,001 to 2,500 masl. The area has bimodal rainfall pattern, the short rain falls between March and April, and the long rainy season between June and September. Annual rainfall ranges from 800 to 1,200 mm, and the average annual temperature is 26.33°C. The district is divided into lowland and midland agro-ecological zones, which account for about 55.55 and 45.5% of the total area, respectively. The total cattle population in the district is estimated to be 155,617. The livelihood of the society largely depends on mixed livestock and crop production (6, 25). The study area has infestation with G. pallidipes and biting flies like Stomoxys and Tabanus (18).

FIGURE 1
www.frontiersin.org

Figure 1. Map of the study area.

Study Animals

The study animals used for this study were local zebu cattle (Bos indicus), older than 6 months of age, which were kept under an extensive management system together with other livestock species. They herded together during the day time and returned to their individual owner's farmstead each evening. The age of the study animals was categorized as young (3 years old) and adult (>3 years old) (26). According to the body condition of the animals, they were grouped as poor, medium, and good based on the appearance of ribs and dorsal spines applied for zebu cattle (27).

Inclusion and Exclusion

The inclusion criteria required were animals whose age were more than 6 months and managed under extensive production system. However, animals that were treated by anti-trypanocidal drugs within a month and animals age <6 months were excluded from the study. For fly dissection, trapped tsetse fly species were categorized into teneral and non-teneral. Then the teneral tsetse flies were included to precede dissection.

Study Design

A cross-sectional study design was conducted to estimate the seasonal prevalence of trypanosomosis in cattle and the apparent density of G. pallidipes and its infection by trypanosome in the Arba Minch Zuria district of Southern Ethiopia.

Sampling Method and Sample Size Determination

Purposive sampling was applied based on the complaint by animal owners on trypanosomosis to select three study kebeles from the district. Kebele refers to the lowest administrative division of a district in Ethiopia but greater than a village. The selected three kebeles were Zeyse Wezeka, Ganta Kanchama, and Kola Shara. The study animals were selected and then sampled by using the simple random sampling technique, in which all animals in the study area have equal chance of being selected. The total number of animals required for the study was computed by the formula given by Thrusfield et al. (28) using the average expected prevalence of reports, 11% in the study area (2022), with 95% confidence interval and absolute precision of 5%. Based on this formula, the calculated sample size was 150. Then to maximize the precision, the sample size was increased by 100%. Therefore, a total of 600 animals (300 in each season) were selected for parasitological study. Potential risk factors considered in the study were season, body condition score, sex, coat color, and age of the study animals.

Study Methodology

Parasitological Study

Blood samples were collected puncturing the superficial ear vein of each study animal into heparinized capillary tubes and, then after, sealed on one side with Cristaseal. Then the capillary tubes were transferred to a hematocrit centrifuge and centrifuged immediately for 5 min at 1,200 revolutions per minute. Packed cell volume (PCV) was measured by using a hematocrit reader for the determination of the level of anemia. Animals with PCV <25% were designated as anemic. The capillary tubes were then cut using a diamond pen at about 1 mm below the buffy coat to include the uppermost layers of the red blood cells and 3 mm above to include the plasma. The contents of the capillary tube were pressed onto a microscopic slide, mixed, and covered with a 22 × 22 mm cover slip. Finally, it was examined under × 40 and/or × 10 objective lens for the presence of motile trypanosomes (29). The trypanosome species were identified based on their movement pattern during the buffy coat examination as described by Murray et al. (30). The confirmation of trypanosome species by morphological characteristics was done after staining the blood smear with Giemsa and examination with oil immersion microscopy with × 100 power of magnification (8, 31).

The study protocol for the blood sampling from the ear vein was ethically reviewed and approved by the Institutional Review Board (IRB) of the Southern Ethiopia Tsetse and Trypanosomiasis Control and Eradication Institute.

Entomological Study

The entomological study was employed from July to September 2018 and December to February 2019, which are wet and dry seasons, respectively. A total of 80 standard Nguruman (NGU) traps (40 traps in each season) were deployed around the watering and grazing areas for the trapping of tsetse and other biting flies. The NGU trap is used to catch savanna flies, such as Glossina pallidipes, and is very effective and easily constructed from locally available materials (32). All traps were uniformly baited with acetone and 3-week-old cow urine deployed at an interval of 200–250 m (33). Traps were allowed to stay at the site of deployment for a maximum period of 72 h before collection (34). Trap deployment sites were selected to represent all vegetation type/habitat that could be related to fly multiplication, behavior, feeding, and other related aspects. The poles of each traps were greased to prevent fly predators, mainly ants. Then tsetse and other biting flies that were trapped were collected and counted. Tsetse flies were sexed just by observing the posterior end of the ventral aspect of the abdomen using hand lens and stereomicroscope. Hence, male flies were identified by an enlarged hypopygium in the posterior ventral part of the abdomen, which is absent in female flies. Other biting flies that were caught were identified at the genera level according to their morphological characteristics, such as size, color, wing venation structure, and proboscis (3436). The apparent density of the tsetse fly was calculated as the number of tsetse catch/trap/day (34).

Fly Dissection and Infection Rate Determination

Collected flies were grouped into teneral and non-teneral, and then the teneral tsetse flies were subjected to dissection and examination for infection with trypanosome (35). The dissection procedure in both study seasons was carried out as described by the FAO Training Manual for tsetse control personnel. Frist, the wings and legs of tsetse flies were removed. Wing fry analysis and ovary analysis were performed in determining the age of the male and female tsetse flies, respectively. Then 0.95% normal saline solution was used for dissecting freshly killed tsetse flies under a dissecting microscope. Three body parts of the tsetse flies, namely, the proboscis (mouth part), midgut, and salivary glands, were examined (34). A compound microscope at a magnification of × 400 times was used for the identification of trypanosome infections in the tsetse flies (37).

Trypanosome parasites detected in the mouthpart only were considered in the group of Duttonella (T. vivax), those detected both in the mouthparts and midguts were Nanomonas (T. congolense), and those found in the midgut, salivary glands, and mouthparts were considered as Trypanozoon (T. brucei) (17, 23, 38). Immature infections considered when the trypanosome parasites were detected only in the midgut of the tsetse flies. Finally, Giemsa-stained smears were examined under oil immersion compound microscope ( × 100 magnification) for trypanosome species identification based on morphological appearances (17, 38, 39). The infection rate (IR) in each season was calculated using the following formula (37):

Infectionrate(IR)=Numberoftsetseflies infectedTotalnumberoftsetsefliesdissectedoveragiven period.

Data Management and Statistical Analysis

Both parasitological and entomological data in each study seasons were collected and recorded in a Microsoft Excel spread sheet. The STATA version 14.2 computer software was applied for the statistical analysis at 95% confidence interval. The prevalence of trypanosomosis was calculated as the number of infected cattle divided by the total number of sampled animals and then multiplied by 100 (28). Those associated risk factors with a p < 0.25 in the univariable logistic analysis were included in the final multivariable logistic model. The infection rate (IR) of trypanosomes in G. pallidipes was calculated as the number of microscopically positive flies divided by the total number of dissected flies and multiplied by 100 (34). The apparent density (AD) of the tsetse and biting flies were expressed as the number of each type of fly per trap per day (FTD). In all cases, 95% confidence interval was used, and a p < 0.05 was considered as significant (40).

Results

Parasitological Results

Prevalence of Trypanosomosis

Out of the total 600 examined animals by the buffy coat technique (i.e., 300 in the dry and 300 in the wet seasons), 61 animals were found to be positive for trypanosome infection, giving an overall prevalence of disease at 10.17% (61/600) in the study area. The prevalence of trypanosome infection in the dry and wet seasons is shown in Figure 2, and it was statistically significant (p = 0.0216).

FIGURE 2
www.frontiersin.org

Figure 2. Seasonal prevalence of trypanosomosis.

Proportion of Trypanosome Species Identified

Two species of trypanosomes were identified, which, in order of abundance, were T. congolense 68.85% (42/61) and T. vivax 31.15% (19/61). Infection due to T. brucei and mixed trypanosome species were not found in the study area during the two study seasons. The trypanosome species seasonally identified are shown in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Proportion of Trypanosome species identified in the dry and wet seasons (n = 61).

Analysis of Trypanosomosis With Risk Factors

The possible risk factors considered in the univariable logistic regression analysis of the presence of trypanosomosis were sex, age, coat color, body condition score (BCS), season, and kebeles of the study district. Of these factors, BCS, coat color, and season were found to be significantly (p < 0.05) associated with trypanosomosis, while sex, age, and kebeles of the study districts did not have a significant effect (p > 0.05) (Table 2). After checking for colinearity, all variables with p < 0.25 in the univariable analysis (BCS, coat color, and season) were subjected to stepwise backward multivariable logistic regression analysis. The final multivariable logistic regression model for potential risk factor analysis revealed that season, color, and body condition score had a significant association with trypanosome prevalence and, hence, potential factors (p < 0.05). The Hosmer–Lemeshow goodness-of-fit test suggested that the model fits the data (χ2 = 20.28; p = 0.0619) (Table 3).

TABLE 2
www.frontiersin.org

Table 2. Univariable logistic regression analysis for risk factors associated with prevalence of disease.

TABLE 3
www.frontiersin.org

Table 3. Multivariable logistic regression analysis of the association of trypanosomosis with potential risk factors.

Hematological Findings

The hematological findings revealed that overall mean (±SD) PCV value of all studied animals was 25.02% (±4.8) (95% CI = 24.64–25.41) (Table 4). The mean PCV of infected animals (22.56 ± 4.61) was significantly (p < 0.001) lower than that of the non-infected ones (25.3 ± 4.75%). Moreover, the mean PCV of animals in the wet season (24.85 ± 4.77) was lower than that of the animals in the dry season (25.2 ± 4.84) with no significant difference (p > 0.05).

TABLE 4
www.frontiersin.org

Table 4. Analysis of the association of trypanosome infections with mean packed cell volume (PCV) (%) of cattle.

During the study period, a total of 322 (53.66%) animals were between the PCV range of 12 and 25, which was anemic, while the rest of the 278 (46.33%) animals were between the PCV range of 25 and 41, which were non-anemic. Also, based on the PCV category, the prevalence in the anemic animals (16.67%) was higher than the prevalence in the non-anemic animals (5.7%). PCV distribution among the infected and non-infected animals during the study period is indicated in Figure 3.

FIGURE 3
www.frontiersin.org

Figure 3. Packed cell volume (PCV) distribution for infected and non-infected animals.

Entomological Results

Seasonal Proportion of Fly Count

A total of 3,789 tsetse and other biting flies were caught with 80 NGU traps deployed in the study area. Out of these, 81.42% (3,085/3,789) belong to tsetse flies and the remaining 18.58% (704/3,789) were biting flies. G. pallidipes was identified as the only tsetse fly species in the study area. The biting flies that were commonly encountered during the study period were the Stomoxys species (45.17%, 318/704) and Tabanus species (54.82%, 386/704). The result of the total fly count showed that a high proportion of the flies was counted in the wet season than in the dry season. A total of 53.94% (2,044/3,789) of the flies were caught during the wet season, and 46.05% (1,745/3,789) of the flies were caught during the dry season. Also, the results for each fly type count indicated that there was a high proportion of fly count in the wet season than in the dry season (Table 5).

TABLE 5
www.frontiersin.org

Table 5. Proportion of each fly count in the wet and dry seasons.

Seasonal Apparent Density

The overall apparent densities of G. pallidipes and biting flies in the study area were 12.85 F/T/D (fly/trap/day) and 2.93 F/T/D, respectively. The apparent density of G. pallidipes and biting flies was higher in the wet season than in the dry study season (Table 6). It was found to be 13.63 F/T/D and 3.4 F/T/D, respectively, for the tsetse and biting flies in the wet season and 12.07 F/T/D and 2.46 F/T/D, respectively, for the tsetse and biting flies in the dry season with a significant difference (p < 0.05). Based on the kebeles, in both study seasons, a high apparent density of tsetse and biting flies was found in and around the Nech Sar national park compared with the communal grazing areas of Zeyse Wezeka, Ganta Kanchama, and Kola Shara kebeles of the study area.

TABLE 6
www.frontiersin.org

Table 6. Seasonal apparent density of Glossina pallidipes and biting flies in the study area.

Based on the vegetation type in the study area, relatively the apparent density of the tsetse flies was higher in the riverine forest than in the wood grassland (WGL) and bushland vegetation types both in the wet and dry seasons of the study period. The apparent densities for tsetse flies were 8.2, 13.54, and 17.6, respectively, for wood grassland, bushland, and riverine forest in the wet season and 6.53, 11.47, and 16.71, respectively, for wood grassland, bushland, and riverine forest in the dry season of the study period. The apparent densities of biting flies were relatively high in the wood grassland in the wet season and bushland vegetation types in the dry season of the study period. The apparent densities for biting flies were 3.6, 3.16, and 3.52, respectively, for wood grassland, bushland, and riverine forest in the wet season and 1.96, 2.81, and 2.42, respectively, for wood grassland, bushland, and riverine forest in the dry season of the study period (Figure 4).

FIGURE 4
www.frontiersin.org

Figure 4. Seasonal apparent density based on vegetation.

Trypanosome Infection Rate in Glossina pallidipes

From a total of 342 dissected tsetse flies (G. pallidipes), 63 flies were infected with trypanosome resulting in an overall infection rate of 18.42% (63/342) in the study area. High trypanosome infections were observed in the wet season (24.56%, 42/171) than in the dry season (12.28%, 21/171) of the study periods. T. congolense (74.6%, 47/63) was the predominant species and found to be a major cause of tsetse fly infection in the study area followed by T. vivax (25.39%, 16/63). Infection of G. pallidipes due T. brucei and mixed type was not found in the study area during the two study seasons (Table 7).

TABLE 7
www.frontiersin.org

Table 7. Seasonal infection rate in Glossina pallidipes and identified trypanosome species.

Trypanosome infection in G. pallidipes and its association with potential risk factors are summarized in the univariable logistic regression analysis (Table 8). This result showed that the infection rate in G. pallidipes during the wet season was 2.32 higher than in the dry season. Also, trypanosome infection in G. pallidipes in and around the park grazing area was 2.45 significantly higher than communal grazing areas. Infection rate based on vegetation type, kebele, sex, and age categories of flies did not show a significant difference (p > 0.05).

TABLE 8
www.frontiersin.org

Table 8. Univariable logistic regression analysis for potential risk factors of trypanosome infection in G. pallidipes.

Discussion

The present study revealed that trypanosomosis is an important disease of cattle in the rift valley area, Arba Minch Zuria district, Southern Ethiopia, with an overall prevalence of 10.17%. This result was higher than the findings of Teka et al. (20), Girma et al. (41), and Anjulo et al. (22) who reported an overall prevalence of 4.1, 1.56, and 1.75%, respectively, in the current study area. In contrast to this, Zeryehun and Abraham (21) reported a higher prevalence of disease (27.5%) in the study area. Similarly, higher prevalence estimates were reported in Refs. (4244) from different parts of Ethiopia. Likewise, studies in the Kilwa district of southern Tanzania and in Kaduna State of Central Nigeria showed overall prevalence of 9.3 and 9.13%, respectively (45, 46). However, studies reported by Mbahin et al. (47) in Kwale county of Coastal Kenya and Kizza et al. (48) in Murchison Falls National Park of Uganda showed higher overall prevalence of 33.9 and 29.6%, respectively. Such variation between reports might be due to the differences in the season of the study period, management system, vector infection rate, animal susceptibility, trypanocidal drug usage, fly control operations, increase of tsetse challenges, and awareness level of the animal owners about the disease in a given study areas (44, 49).

Two species of trypanosomes were identified in the current study areas, namely, T. congolense (68.85%) and T. vivax (31.15%). This study has confirmed the observation of (8, 13, 16, 17, 49) in different parts of Ethiopia. The relatively higher predominance of T. congolense infection in cattle suggests the increased contact of cattle with the savanna tsetse flies, particularly G. pallidipes, which are more efficient transmitters of T. congolense than T. vivax in East Africa (12, 50). It may be also due to the high number of serodems of T. congolense compared with T. vivax and the development of better immune response to T. vivax by the infected animal in the study area (51).

The multivariable analysis for potential risk factors showed significantly higher prevalence of trypanosomosis in the wet season (OR = 2.47, p < 0.05), black coated (OR = 9.3, p < 0.05), and poor body-conditioned animals (OR = 3.5, p < 0.05). This result was in close agreement with the previous study reported in Refs. (17, 42, 44). In the current study, seasonal prevalence of trypanosomosis was higher in the wet season (13%) than in the dry season (7.33%). This may support the statement that season is a well-known limiting factor for cattle trypanosomosis (23). This might be due to an absolute increase in the number of tsetse and biting flies in the wet season due to favorable environmental factors, such as enough moisture, vegetation growth, and suitable habitat, which, in turn, lead to an increase in trypanosome challenge to cattle resulting into the observed difference during the two study seasons (33, 42).

Black-coated animals were more affected by trypanosomosis than the other color in the study area. This is because of the existing knowledge that Glossina species are more attracted to large dark colors like the hides of cow (52). Besides, trypanosomosis was observed to be higher in animals with poor body condition when compared with those in good or medium body conditions. It meant that trypanosomosis causes emaciation of animals (8, 20). Although poor body condition could result from other factors, such as concurrent nutritional and parasitic diseases, bovine trypanosomosis is also a devastating and wasting disease, which results in a progressive loss of body condition (53).

The overall mean PCV value of all studied animals was 25.02%. The mean PCV of animals in the wet season (24.85 ± 4.77) was lower than that of the animals in the dry study season (25.2 ± 4.84), which is similar to the results obtained in Refs. (17, 42, 44). The mean PCV of the infected animals (22.56 ± 4.61) was significantly (p < 0.001) lower than that of the non-infected ones (25.3 ± 4.75%). The lower mean PCV value in the infected animals have been reported by authors from different corners of the country (21, 22, 39, 43, 49). Variation between infected and non-infected animal mean PCV value indicates that trypanosomosis might be involved in the reducing of the PCV values in the infected animals (30). However, trypanosomosis is typically suspected to reduce the PCV. It is worthy to note that other factors like blood-sucking gastrointestinal parasites and nutritional deficiencies also cause the lowering of PCV (17, 40).

Furthermore, the overall occurrence of anemia in animals examined for PCV value was 53.66% in the study area, and the presence of anemia was higher in trypanosome-positive animals (16.67%) than in negative animals (5.7%). This finding agreed with previous reports done by Desta et al. (39) in the nearby Amaro special district, Eyasu et al. (17) in the escarpment of the Omo River, Loma district of Southern Ethiopia, Biyazen et al. (13) in the Dale Wabera district of Kellem Wollega Zone of Western Ethiopia, Abebe et al. (8) in the Omo-Ghibe tsetse belt areas of South Ethiopia, and Yalew and Fantahun (43) in the Bambasi district of Western Ethiopia. This is because anemia is recognized and considered as the most important pathological consequence of African animal trypanosomosis (40).

In this study. entomological findings revealed the presence of only one Glossina species, known as G. pallidipes, and other biting flies including Stomoxys and Tabanus. A total of 3,085 (81.42%) G. pallidipes and 704 (18.58%) other biting flies were caught during the study period. The overall apparent densities of G. pallidipes and biting flies in the study area were 12.85 F/T/D (fly/trap/day) and 2.93 F/T/D, respectively, which were lower when compared with previous reports by Teka et al. (20) and Rodrigues et al. (19) with an overall apparent densities of G. pallidipes of 29.624 F/T/D and 47.8 F/T/D, respectively, in the study area. However, the reports done in Refs. (8, 17, 22, 38, 43, 54) in different parts of Ethiopia showed a low apparent density of tsetse and other biting flies. These variations are due to differences in study seasons, vegetation type, availability of host animals, and control strategies applied in the respective places (23, 33, 51).

An overall apparent density of G. pallidipes in the wet season (13.63 F/T/D) was higher compared with that in the dry season (12.07 F/T/D), similar to the results obtained Refs. (17, 42, 44) in different parts of the country. This could suggest an absolute increase in the number of tsetse and biting flies due to favorable environmental conditions (33). In streak to this study, Nthiwa et al. (55) reported a higher apparent density of G. pallidipes in the Mtito Andei Division of Kenya, whereas Nnko et al. (23) in the Maasai Steppe of Tanzania and Bouyer et al. (56) in the Mouhoun River of Burkina Faso reported a lower apparent density number of G. pallidipes. This variation might be due to differences in seasons, vegetation type, availability of host animals, and control strategies.

The different habitats of vegetation were assessed during the entomological survey period, and there was a variation in the apparent density distribution of tsetse and biting flies in three vegetation types in the study area. Relatively higher numbers G. pallidipes and biting flies were caught during the wet season in all vegetation types, while most tsetse populations were captured in riverine forest than in wood grassland and bushland vegetation types. In line with this result, Desta et al. (54) and Dagnachew et al. (42) showed a high apparent density of tsetse flies in the riverine vegetation type followed by savanna, forest, bush, and cultivated areas. The observed variation is in close agreement with the study of Riordan (57) in which flies of the morsitans group (subgenus Glossina species) inhabits mainly riverine forest edges and savanna woodland. A similar finding was reported by Ouma et al. (58), Cecchi et al. (59), and Nthiwa et al. (55) in other eastern African countries, such as Uganda, Somalia, and Kenya, respectively. This is because open savanna woodland and riverine forest edges are a typical habitat for the Glossina morsitans group (mainly for G. pallidipes) (37, 59).

Out of the 342 dissected G. pallidipes, 63 flies were infected by trypanosome resulting in an overall infection rate of 18.42% in the study area. In comparison with this finding, the report of Rodrigues et al. (19) showed a higher trypanosome infection rate (38%) in G. pallidipes inside Nech Sar national park of Arba Minch Zuria. Also, lower infection rates were reported by comparable studies in the Mtito Andei Division in Kenya and the Mouhoun River in Burkina Faso, which show the overall trypanosome rates of 10 and 11.53%, respectively (55, 56). In contrast to these, studies in the Maasai Steppe in Tanzania and Adamawa region of Cameroon reported overall trypanosome infection rates of 5.8 and 0.9%, respectively (23, 60). Desta et al. (39) and Meharenet and Alemu (38) reported that a relatively low fly infection rate was observed in different parts the country. This might be due to the least tsetse challenge, variation in Glossina species involved, and low fly animal contact during the study period (61).

T. congolense (74.6%) was the predominant species and found to be a major cause of tsetse fly infection in the study area followed by T. vivax (25.39%). Likewise, different authors across Africa reported that T. congolense is the leading species for tsetse fly infection (55, 56, 60). Moreover, Langridge (50) and Abebe and Jobre (12) stated that T. congolense is one of the important mouthparts and midgut trypanosome parasites because of its pathogenicity to cattle and its relatively higher infection rate in G. pallidipes which was completely supported by the present findings.

A higher trypanosome infection rate in G. pallidipes was observed in the wet season (24.56%) than in the dry season (12.28%). This is evidenced by univariable analysis for statistical significance as risk factor that showed a significantly higher infection rate in the wet season (OR = 2.32, p < 0.05) and nearby park grazing area of the study (OR = 2.45, p < 0.05). This result was similar with previous reports done in Refs. (17, 42, 54). The similarity could be due to an absolute increment both in disease prevalence and number of tsetse and biting flies due to favorable environmental conditions (33, 42). Trypanosome infection rate of G. pallidipes in and around the park grazing area (26%) was significantly (p < 0.05) higher than in communal grazing areas (12.5%). The presence of high trypanosome infection rate in park grazing areas could be associated with factors, such as availability of different vegetation types like bushland and riverine forest, which create suitable conditions for growth and development of tsetse flies, presence of many wild animals as trypanosome reservoirs in areas close to the park, which, in turn, increases contact with vectors and control programs applied (23, 51). According to Majekodunmi et al. (62) and Eyasu et al. (17), a positive relationship was observed between seasonal trypanosome prevalence, Glossina species apparent density, and infection rate, which were completely supported by the present study.

The present study was conducted to estimate the prevalence and infection rate of trypanosomes. Although the study was limited for the parasite detection techniques like buffy coat and Giemsa stain, molecular techniques have been shown to provide a much more accurate and complete picture of the prevalence and taxonomic level of trypanosomal infections in tsetse flies.

Conclusion

This study indicated that trypanosomosis is an important disease and a potential threat to health and productivity of cattle in Arba Minch Zuria, Southern Ethiopia. A parasitological study revealed the overall prevalence of 10.17% in the study area with seasonal prevalence of 7.33% and 13% in the dry and wet seasons, respectively. Two pathogenic species, T. congolense and T. vivax, were responsible for the disease in the study area. Significant difference in prevalence was observed between seasons, coat color, and animal body condition scores. The entomological findings revealed the presence of only one Glossina species, known as G. pallidipes, and other biting flies, including Stomoxys and Tabanus. The overall apparent densities of G. pallidipes and biting flies in the study were 12.85 F/T/D and 2.93 F/T/D, respectively. A relatively higher Glossina/trap/day was caught in the wet season and in riverine forest vegetation type. The overall trypanosome infection rate in G. pallidipes was 18.42% with a higher proportion of infection in the wet season (24.56%) than in the dry (12.28%) season. Moreover, this study showed a direct relationship between seasonal trypanosomosis prevalence, G. pallidipes apparent density, and its infection by trypanosome. Hence, this study warrants the need for strengthening the vector and parasite control interventions in the area.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author.

Ethics Statement

The animal study was reviewed and approved by Animal Research Ethics Review Committee of Southern Ethiopia Tsetse and Trypanosomiasis Control and Eradication Institute. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author Contributions

WS and ET conceived and designed the study, drafted the manuscript, and analyzed and interpreted the data. WS, KK, and FL performed the field and lab works. All authors read, revised, and approved the final version of the manuscript for the publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict ofinterest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors are grateful to the Southern Ethiopia Tsetse and Trypanosomiasis Control and Eradication Institute in Arba Minch, Arba Minch University, and the staff members for their great technical cooperativeness and material support during the study period. Also, the authors would like to thank the animal owners and district animal health personnel for their collaboration and technical support during blood sample collection.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2022.805564/full#supplementary-material

References

1. Kuzoe FAS. Current situation of African trypanosomiasis. Acta Tropica. (1993) 54:153–62. doi: 10.1016/0001-706X(93)90089-T

PubMed Abstract | CrossRef Full Text | Google Scholar

2. OIE. Terrestrial Manual: Standardized Techniques for the Diagnosis of Tsetse Transmitted Trypanosomiasis. Rome: World Organization for Animal Health (2008).

3. Torgerson PR, Macpherson CN. The socioeconomic burden of parasitic zoonoses: global trends. Vet Parasitol. (2011) 182:79–95. doi: 10.1016/j.vetpar.2011.07.017

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Stijlemans B, De Baetselier P, Magez S, Van Ginderachter JA, De Trez C. African trypanosomiasis-associated anemia: the contribution of the interplay between parasites and the mononuclear phagocyte system. Front Immunol. (2018) 9:218. doi: 10.3389/fimmu.2018.00218

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Assefa E, Abebe G. Drug-resistant Trypanosoma congolense naturally infected donkeys in North Omo Zone, southern Ethiopia. Vet Parasitol. (2001) 99:261–71. doi: 10.1016/S0304-4017(01)00489-7

PubMed Abstract | CrossRef Full Text | Google Scholar

6. CSA. Livestock Population of Ethiopian, Central Statistical Authority. Addis Ababa: CSA (2018).

Google Scholar

7. Leta S, Mesele F. Spatial analysis of cattle and shoat population in Ethiopia: growth trend, distribution and market access. Springer Plus. (2014) 3:310. doi: 10.1186/2193-1801-3-310

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Abebe R, Gute S, Simon I. Bovine trypanosomosis and vector density in Omo-Ghibe tsetse belt, South Ethiopia. Acta Tropica. (2017) 167:79–85. doi: 10.1016/j.actatropica.2016.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Urquhart GM, Armour JL, Duncan A, Dunn M, Jennings FW. Veterinary Parasitology. Oxford: Blackwell Science (1992). p. 2094–275.

10. Gebisa G, Beriso K, Bogale B, Gizaw O, Chala D. Bovine trypanosomosis and its vectors in three selected districts of buno bedele zone of Oromia Region, Ethiopia. Vet Med Int. (2020). 1–8. doi: 10.1155/2020/1571947

PubMed Abstract | CrossRef Full Text

11. Constable PD, Hinchcliff KW, Done SH, Grünberg W. Veterinary Medicine: A Textbook of the Diseases of Cattle, Horses, Sheep, Pigs, and Goats. 11th ed. St. Louis, MO: Elsevier Ltd. (2017). p. 2150–6.

12. Abebe G, Jobre Y. Trypanosomiasis: a threat to cattle production in Ethiopia. Rev Medecine Vet. (1996) 147:897–902.

13. Biyazen H, Duguma R, Asaye M. Trypanosomosis, its risk factors, and anaemia in cattle population of dale Wabera district of Kellem Wollega Zone, Western Ethiopia. J Vet Med. (2014) 1–6. doi: 10.1155/2014/374191

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Leta S, Alemayehu G, Seyoum Z, Bezie M. Prevalence of bovine trypanosomosis in Ethiopia: a meta-analysis. Parasites Vectors. (2016) 9:2–9. doi: 10.1186/s13071-016-1404-x

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Abebe G. Trypanosomosis in Ethiopia, review article. Ethio J Biol Sci. (2005) 4:75–121. doi: 10.4314/ejbs.v4i1.39017

CrossRef Full Text | Google Scholar

16. Duguma R, Tasew S, Olani A, Damena D, Alemu D, Mulatu T, et al. Spatial distribution of Glossina sp. and Trypanosoma sp. in south-western Ethiopia. Parasites Vectors. (2015) 8:2–10. doi: 10.1186/s13071-015-1041-9

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Eyasu T, Mekuria S, Sheferaw D. Seasonal prevalence of trypanosomosis, Glossina density and infection along the escarpment of Omo River, Loma district, Southern Ethiopia. Heliyon. (2021) 7: e06667. doi: 10.1016/j.heliyon.2021.e06667

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Gechere G, Terefe G, Belihu K. Impact of tsetse and trypanosomiasis control on cattle herd composition and calf growth and mortality at Arba Minch District (Southern Rift Valley, Ethiopia). Tropical Animal Health Product. (2012) 44:1745–50. doi: 10.1007/s11250-012-0132-2

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Rodrigues CMF, Garcia HA, Sheferaw D, Rodrigues AC, Pereira C L, Camargo E P, et al. G. Genetic diversity of trypanosomes pathogenic to livestock in tsetse flies from the Nech Sar National Park in Ethiopia: a concern for tsetse suppressed area in Southern Rift Valley? Infect Genetics Evolut. (2019) 69:38–47. doi: 10.1016/j.meegid.2019.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Teka W, Terefe D, Wondimu A. Prevalence study of bovine trypanosomosis and tsetse density in selected villages of Arbaminch Ethiopia. J. Vet. Med. Animal Health. (2012) 4:36–41. doi: 10.5897/JVMAH12.001

CrossRef Full Text | Google Scholar

21. Zeryehun T, Abraham Z. Prevalence of Bovine Trypanosomosis in Selected District of Arba Minch, Snnpr, Southern Ethiopia. Global Vet. (2012) 8:168−73. Available online at: http://www.idosi.org/gv/GV8(2)12/12.pdf

Google Scholar

22. Anjulo A, Alemu B, Yohannes B. Prevalence of Bovine Trypanosomosis and apparent fly density of tsetse and biting flies in step intervention area of Arbaminch Zuria Wereda. Int J Adv Multidiscip Res. (2019) 6:1–8. doi: 10.22192/ijamr

CrossRef Full Text | Google Scholar

23. Nnko HJ, Ngonyoka A, Salekwa L, Estes AB, Hudson PJ, Gwakisa PS, et al. Seasonal variation of tsetse fly species abundance and prevalence of trypanosomes in the Maasai Steppe, Tanzania. J Vector Ecol. (2017) 42:24–33. doi: 10.1111/jvec.12236

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Van Den Bossche P, De Deken R. Seasonal variations in the distribution and abundance of the tsetse fly, Glossina morsitans morsitans in eastern Zambia. Med Vet Entomol. (2002) 16:170–6. doi: 10.1046/j.1365-2915.2002.00360.x

PubMed Abstract | CrossRef Full Text | Google Scholar

25. GZLFRD. Annual Report on Livestock Population, Gamo Zone Livestock and Fishery Resource Department (GZLFRD), Ethiopia, Arba Minch (2020).

26. Radostits OM, Gay CC, Hinchcliff KW, Constable PD. Veterinary Medicine. A Text Book of Diseases of Cattle, Sheep, Pigs, Goats and Horses. 10th ed. London: W.B. Saunders Elsevier (2007). p. 1125–31.

Google Scholar

27. Nicholson MJ, Butterworth MH. A Guide to Condition Scoring of Zebu Cattle. Addis Ababa: International Livestock Centre for Africa (1986). p. 1–29.

Google Scholar

28. Thrusfield M. Veterinary Epidemiology. 4th ed. London: Black well science Ltd. (2018). p. 272–93.

Google Scholar

29. Woo PTK. The haematocrit centrifuge technique for the diagnosis of African trypanosomiasis. Acta Tropica. (1970) 27:384–7.

PubMed Abstract | Google Scholar

30. Murray M, Murray PK, McIntyre WIM. An improved parasitological technique for the diagnosis of African trypanosomiasis. Trans R Soc Trop Med Hyg. (1977) 71:325–6. doi: 10.1016/0035-9203(77)90110-9

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Luckins AG. Methods for diagnosis of trypanosomosis in livestock. World Anim Rev. (1992) 70:15–20.

Google Scholar

32. Masiga DK, Igweta L, Saini R, Ochieng-Odero JP, Borgemeister C. Building endogenous capacity for the management of neglected tropical diseases in Africa: the pioneering role of ICIPE. PLoS Negl Trop Dis. (2014) 8:e2687. doi: 10.1371/journal.pntd.0002687

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Brightwell R, Dransfield RD, Kyorku C, Golder TK, Tarimo SA, Mungai D. A new trap for Glossina pallidipes. Tropical Pest Manage. (1987) 33:151–9. doi: 10.1080/09670878709371136

CrossRef Full Text | Google Scholar

34. FAO. Training Manual for Tsetse Control Personnel. Use of Attractive Devices for Tsetse Survey and Control. Rome: Food and Agriculture Organization of the United Nations (1992).

Google Scholar

35. Pollock JN. Training Manual for Tsetse Control Personnel, Vol. 1. Rome: FAO (1982). p. 274–5.

Google Scholar

36. Wall R, Shearer D. Veterinary Entomology. Arthropod Ectoparasites of Veterinary Importance. London: Champman and Hall (1997). p. 141–93.

Google Scholar

37. FAO. Training Manual for Tsetse Control Personnel. Tsetse Biology, Systematics and Distribution, Techniques, Vol. 1. Rome: FAO (1982).

Google Scholar

38. Meharenet B, Alemu D. Trypanosome infection rate in Glossina tachinoides: infested rivers of Limmu Kosa District Jimma Zone, Western Ethiopia. BMC Res Notes. (2020) 13:1–5. doi: 10.1186/s13104-020-04970-1

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Desta M, Beyene D, Haile S. Trypanosome infection rate of Glossina pallidipes and trypanosomosis prevalence in cattle in Amaro Special District of Southern Ethiopia, J Vet Med Anim Health. (2013) 5:164–70. doi: 10.5897/JVMAH2013.0199

CrossRef Full Text | Google Scholar

40. Van den Bossche P, Rowlands G. The relationship between the parasitological prevalence of trypanosomal infections in cattle and herd average packed cell volume. Acta Tropica. (2001) 78:163–70. doi: 10.1016/S0001-706X(00)00182-0

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Girma K, Meseret T, Tilahun Z, Haimanot D, Firew L, Tadele K, et al. Prevalence of bovine trypanosomosis, its vector density and distribution in and around Arbaminch, Gamo Gofa Zone, Ethiopia. Acta Parasitologica Globalis. (2014) 5:169–76. doi: 10.5829/idosi.apg.2014.5.3.859

CrossRef Full Text | Google Scholar

42. Dagnachew S, Sangwan AK, Abebe G. Epidemiology of Bovine Trypanosomosis in the Abay (Blue Nile) Basin Areas of Northwest Ethiopia. Revue Elevage Medecine Vet Pays tropicaux. (2005) 58:151–7. doi: 10.19182/remvt.9927

CrossRef Full Text | Google Scholar

43. Yalew ST, Fantahun B. Prevalence of bovine trypanosomosis and its associated risk factors in Bambasi woreda, Western Ethiopia. J Dairy Vet Anim Res. (2017) 5:44–9. doi: 10.15406/jdvar.2017.05.00132

CrossRef Full Text | Google Scholar

44. Degneh E, Shibeshi W, Terefe G, Asres K, Ashenafi H. Bovine trypanosomosis: changes in parasitemia and packed cell volume in dry and wet seasons at Gidami District, Oromia Regional State, western Ethiopia. Acta Vet Scand. (2017) 59:1–8. doi: 10.1186/s13028-017-0327-7

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Kassian EN, Simuunza MC, Silayo RS, Moonga L, Ndebe J, Sugimoto C, et al. Prevalence and risk factors of bovine trypanosomosis in Kilwa district, Lindi region of southern Tanzania. Vet Parasitol Reg Stud Rep. (2017) 9:1–5. doi: 10.1016/j.vprsr.2017.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Abenga JN, Enwezor FN, Lawani FA, Osue HO, Ikemereh EC. Trypanosome prevalence in cattle in Lere area in Kaduna State, North Central Nigeria. Revue d'èlevage Mèdecine Vèt Pays Tropicaux. (2004) 57:45–8. doi: 10.19182/remvt.9904

CrossRef Full Text | Google Scholar

47. Mbahin N, Affognon H, Andoke J, Tiberius M, Mbuvi D, Otieno J, et al. Parasitological prevalence of bovine trypanosomosis in Kubo division of Kwale county of coastal: baseline survey. Am J Animal Vet Sci. (2013) 8:28–36. doi: 10.3844/ajavsp.2013.28.36

CrossRef Full Text | Google Scholar

48. Kizza D, Ocaido M, Mugisha A, Azuba R, Nalule S, Onyuth H, et al. Prevalence and risk factors for trypanosome infection in cattle from communities surrounding the Murchison Falls National Park, Uganda. Parasites Vectors. (2021) 14:513. doi: 10.1186/s13071-021-04987-w

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Amante M, Tesgera H. Prevalence of cattle trypanosomosis and apparent density of its fly vectors in Bambasi District of Benishangul-Gumuz Regional State, Western Ethiopia. Vet Med Int. (2020) 1–7. doi: 10.1155/2020/8894188

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Langridge WP. Tsetse and Tryponosomosis Survey of Ethiopia Ministry of Overseas Department UK. Addis Ababa: Ministry of Overseas Development of British and Ministry of Agriculture of Ethiopia (1976). p. 1–40.

Google Scholar

51. Leak SGA, Mulatu W, Authié E, d' Ieteren GDM, Peregrine AS, Rowlands GJ, et al. Epidemiology of bovine trypanosomiasis in the Ghibe valley, southwest Ethiopia 1. Tsetse challenge and its relationship to trypanosome prevalence in cattle. Acta Tropica. (1993) 53:121–34. doi: 10.1016/0001-706X(93)90024-6

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Seifert HSH. Tropical Animal Health, 2nd Edn. Dodrech, NL: Kluwer Academic Publishers (1996).

Google Scholar

53. Steverding D. The history of African trypanosomiasis. Parasites Vect. (2008) 1:3. doi: 10.1186/1756-3305-1-3

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Desta M, Menkir S, Kebede A. The study on tsetse fly (Glossina species) and their role in the trypanosome infection rate in Birbir valley, Baro Akobo River system, Western Ethiopia. J Vet Med Anim Health. (2013) 5:186–94. doi: 10.5897/JVMAH2013.0223

CrossRef Full Text | Google Scholar

55. Nthiwa DM, Odongo DO, Ochanda H, Khamadi S, Gichimu BM. Trypanosoma infection rates in glossina species in Mtito Andei Division, Makueni County, Kenya. J Parasitol Res. (2015) 1–8. doi: 10.1155/2015/607432

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Bouyer J, Kone N, Bengaly Z. Dynamics of tsetse natural ' infection rates in the Mouhoun river, Burkina Faso, in relation with environmental factors. Front Cell Infect Microbiol. (2013) 3:47. doi: 10.3389/fcimb.2013.00047

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Riordan K. Long term variations in trypanosome infection rates in highly infected tsetse flies on a cattle route in southwestern Nigeria. Ann Tropical Med Parasitol. (1977) 71:11–20. doi: 10.1080/00034983.1977.11687156

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Ouma JO, Beadell JS, Hyseni C. Genetic diversity and population structure of Glossina pallidipes in Uganda and western Kenya. Parasites Vectors. (2011) 4:122. doi: 10.1186/1756-3305-4-122

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Cecchi G, Paone M, Herrero MRA, Vreysen MJB, Mattioli RC. Developing a continental atlas of the distribution and trypanosomal infection of tsetse flies (Glossina species). Parasites Vectors. (2015) 8:284. doi: 10.1186/s13071-015-0898-y

PubMed Abstract | CrossRef Full Text

60. Kame-Ngasse GI, Njiokou F, Melachio-Tanekou TT, Farikou O, Simo G, Geiger A. Prevalence of symbionts and trypanosome infections in tsetse flies of two villages of the “Faro and Déo” division of the Adamawa region of Cameroon. BMC Microbiology. (2018) 18:159. doi: 10.1186/s12866-018-1286-5

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Bourn DA, Grant I, Shaw A, Torr S, Protection CE. Cheap and safe tsetse control for livestock production and mixed farming in Africa. Aspects Appl Biol. (2005) 75:81. Available online at: https://www.researchgate.net/profile/Steve-Torr/publication/237229100_Cheap_and_safe_tsetse_control_for_livestock_production_and_mixed_farming_in_Africa/links/551e5bc30cf213ef063f2500/Cheap-and-safe-tsetse-control-for-livestock-production-and-mixed-farming-in-Africa.pdf

Google Scholar

62. Majekodunmi AO, Fajinmi A, Dongkum C, Picozzi K, MacLeod E, Thrusfield MV, et al. Social factors affecting seasonal variation in bovine trypanosomiasis on the Jos Plateau, Nigeria. Parasites Vectors. (2013) 6:293. doi: 10.1186/1756-3305-6-293

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: seasonal, bovine, trypanosomosis, Glossina, pallidipes

Citation: Seyoum W, Tora E, Kore K and Lejebo F (2022) Seasonal Patterns: Bovine Trypanosomosis, Glossina pallidipes Density, and Infection in Rift Valleys of Gamo Zone, Southern Ethiopia. Front. Vet. Sci. 9:805564. doi: 10.3389/fvets.2022.805564

Received: 30 October 2021; Accepted: 13 January 2022;
Published: 28 February 2022.

Edited by:

Francisco Ruiz-Fons, Spanish National Research Council (CSIC), Spain

Reviewed by:

Keneth Iceland Kasozi, University of Edinburgh, United Kingdom
Luis Neves, University of Pretoria, South Africa

Copyright © 2022 Seyoum, Tora, Kore and Lejebo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ephrem Tora, adech.tor@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.