Greener Journal of Biological Sciences

Vol. 11(2), pp. 65-73, 2021

ISSN: 2276-7762

Copyright ©2021, the copyright of this article is retained by the author(s)

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Spatial and temporal distribution of malaria, dengue and lymphatic filariasis vector larval breeding sites diversity in Northern Benin

 

 

André Sominahouin1,2*, Germain Gil Padonou1,3, Razaki Osse1,3 Albert Sourou Salako1, Hermann Sagbohan1,  Esdras Odjo1, Moctard W. Afagnon5,  Bénoît Assogba5, Arsène Fassinou1, Come Koukpo1,  Fiacre Agossa1, Filémon Tokponnon1, Fortuné Dagnon5, Christophe Houssou2, Martin C. Akogbéto1,3

 

1Centre de Recherche Entomologique de Cotonou (CREC), Cotonou, Bénin.

2Département de Géographie et Aménagement du Territoire de l’Université d’Abomey-Calavi, Benin.

3Faculte des Sciences et Techniques de l’Université d’Abomey Calavi, Benin.

4 Institut de la Recherche de la Sante Publique de l’Université d’Abomey Calavi, Benin.

5US President’s Malaria Initiative, US Agency for International Development, Cotonou, Benin.

 

 

ARTICLE INFO

ABSTRACT

 

Article No.: 062821058

Type: Research

 

Background: The environment is a major determinant of malaria biodiversity because of the vectorial nature of Plasmodium transmission and the bioecological preferences of the vectors. Mosquitoes, vectors of these diseases, evolve in natural and human modified ecological systems. The mastery of the spatio-temporal distribution of malaria and dengue vectors will allow to orientate actions in order to curb these pandemics. It is in this sense that the present study was conducted, in order to allow policies to take into account environmental sanitation in the fight against the vectors of malaria, dengue and lymphatic filariasis.

Methods: To carry out this study, the larval survey method was adopted. Survey missions were conducted (during the dry season, the transition period between the two seasons and during the rainy season) in the districts of Kandi, Gogounou, and Segbana.

Results: In the commune of Kandi, the number of breeding sites (positive and potential) is high during the two seasons. The genera of mosquitoes collected in these different types of sites were Anopheles, Culex and Aedes. The species richness varied between the different types of sites. The results of the breeding site typology in the KGS health zone show that high numbers of Anopheles and mixed breeding sites were observed during the rainy season during the dry season in the swamps, pits and shallows and in the study areas. In addition, there is an increase in Culex breeding sites in catch basins and Aedes breeding sites during the dry season especially in low altitude localities. Mosquito breeding sites were mostly recorded in cesspools jars (Culex, mixed and Anopheles), ponds, pools (Anopheles, and mixed), and holes, oxbows shallows and pits (Anopheles). The vulnerability maps obtained from the addition of the physiographic layers considered in each model, show the variability of vulnerability levels for each genus of Culicidae.

Conclusion: The proliferation of malaria vectors would be attributable to the insalubrity of the immediate environment and to the anthropic activities that create and maintain breeding grounds. These data could be used to strengthen malaria control strategies already underway.

These results show that more than half of the territory of the Kandi-Gogounou-Segbana health zone offer good ecological conditions for the development of mosquitoes, thus exposing more than half of the population to diseases caused by these mosquitoes.

 

Accepted:  30/06/2021

Published: 30/09/2021

 

*Corresponding Author

Dr. Andre Sominahouin

E-mail: andrsominahouin@ yahoo.fr

 

Keywords: Breeding sites; Environment; Mosquitoes; GIS; Benin.

 

 

 

                             


INTRODUCTION

 

Culicidae are responsible for the transmission of pathogens that they can inoculate during their blood meal. They represent, therefore, a real public health problem. Among these mosquitoes, some are a source of nuisance difficult to bear.  This is the case of Culex pipiens Linné, 1758, widespread in the world. It is present in tropical and temperate zones (Weill et al. 2003). In Benin, malaria is the leading cause of attendance in health facilities with a frequency of 47.6% in children under 5 and 41.7% in adults (SNIGS, 2012). The risk of transmission is not clear. It varies over time and space. According to the work of the Francophone Virtual Medical University (UVMF) (2014), the spatial distribution of malaria transmission varies from one area to another. The environment is a major determinant of the biodiversity of malaria because of the vectorial nature of the transmission of Plasmodiums and the bioecological preferences of the vectors. This biodiversity depends on several factors associated with the development of mosquitoes and indirectly with the transmission of Plasmodiums. These are the seasonality, distribution and quantity of rainfall, temperature, humidity, altitude, the presence of surface water or vegetation, as well as certain anthropogenic factors (agricultural activities, irrigation, deforestation, urbanization, construction of roads or dams).

Currently, mosquitoes, vectors of these diseases, evolve in natural ecological systems and those modified by humans (Makanga, 2016). Indeed, the development of oil palm plantations in Gabon, particularly in the Mouila region, has led to a modification of the natural landscapes and the impoundment of palm groves (Ndjimbi, 2013). These new conditions, favorable to larval development and the proliferation of mosquitoes, have led to a sharp increase in malaria cases in this region (Koumba et al., 2018a; 2018b).

To deal with this problem of mosquitoes vectors of pathogens, the World Health Organization (WHO) recommends the establishment of vector control focused on the sanitation of the living environment, the distribution of insecticide-impregnated mosquito nets Long-Lasting Acting (LLIN) and Indoor Residual Insecticide Spraying (PNLP, 2010; Badolo et al., 2012; Abagli et al., 2014). However, these interventions require a better knowledge of the bioecology of vectors.These factors are at the origin of the appearance and the persistence of breeding sites, the speed of larvae development, the survival of adults - and therefore their density - or the rate of development of the parasite in vector Anopheles (extrinsic cycle). They can therefore explain the diversity in the level of malaria transmission from one area to another and from one season to another (Bio Bangana, 2013).

Many mosquito breeding sites are produced in both the northern and southern departments of the country due to poor environmental management and insufficient water drainage (Akogbéto, 2005). Environmental sanitation is therefore a factor in controlling malaria. Taking all of the above into account, it is important to know the factors responsible for the diversity and intensity of malaria.

In addition, spatial analysis is a methodological approach making it possible to characterize a phenomenon indexed by geographic coordinates with a view to describing it, explaining it and modeling its behavior in space and / or time, all this in the aim of identifying the tendency to form particular structures thus leading to the formulation of hypotheses and to decision making. Risk mapping then makes it possible to identify the vulnerabilities to which the risk areas are subject, and therefore to prioritize the control actions in a hierarchical form. The rainy season remains par excellence the favorable period for the proliferation of malaria vector mosquitoes; the hot period at the end of the rainy season sees a strong occurrence of malaria with a peak in October, whatever the epidemiological facies. It is within this framework that the present study was conducted and its objectives are: to identify the different sites colonized by Anopheles, Culex and Aedae according to the seasons and geographical specificities.  Thus, the results of this study can be used in the potential use of complementary control methods based on the control of larval stages in the department of Alibori in Benin

 

 

MATERIALS AND METHODS

 

Study sites

 

The region of Alibori is characterized by a Sudanese climate by a Sudano-guinean climate, with a single dry season (December to May) and a single rainy season (June to November). The annual average rainfall varies between 700–1200 mm, respectively in Alibori region. The average monthly temperature varies between 23 and 40 °C (INSAE, 2013).

The study was carried out in two health zones composed of three districts in northen Benin: Kandi-Gogounou-Ségbana health zone in Alibori province (Fig. 1). These sectors are selected by the National Malaria Control Program (NMCP) based on epidemiological, ecological, environmental and socio-economic criteria to extend Indoor Residual Spraying (IRS) operations from 2017. The region's crop diversity includes yams, sorghum, maize, millet, cowpeas, cassava, beans and groundnuts for food-producing crops and cotton, shea and cashew for cash crops. Collecting and processing cashew and shea are the main sources of income for the populations. Kandi-Gogounou-Ségbana health zone situated in southern Alibori provincecovers about 12,943 km2. Long- lasting insecticidal nets (LLINs) are the main tool for malaria prevention in these districts.

 

Sampling: choice of study sites                        

 

For sampling mosquito larvae, we used the "dip-ping" method (Rioux et al. 1965b; Subra 1971; Cro-set et al. 1976); Coffinet et al. 2009). This method consists of collecting a one-liter dipper of water (c) from several locations within the site without repetition. Using this method, we took a series of 5 samples and calculated the average density of larvae per sample. This number is an estimate of the average larval density per liter. The identification was carried out with the help of the identification keys of Rioux (1958) and Senevet and Andarreli (1959) which have largely contributed to the knowledge of the Mediterranean culicid fauna. This identification was then confirmed using the software on Culicidae of Mediterranean Africa designed by Brunhes et al. (1999). Mosquito larvae surveys were carried out in the three districts under IRS. A sampling plan by level was set up by associating each municipality with an unequal weighting. In each municipality, we randomly selected 50% of the arrondissements and in each arrondissement, another level of selection which randomly took 25% of the villages since the unequal weighting was also associated with each arrondissement. Figure 1 shows the municipality and the districts of the sites surveyed. The districts indicated in this figure were chosen respectively in the communes of Kandi, Gogounou, Ségbana. The objective of these weightings is to satisfy the condition of representativeness of our sample.


 

 

Description: C:\Users\user\AppData\Local\Microsoft\Windows\Temporary Internet Files\Content.Word\Fig 1.jpg

Figure 1: Map showing the study area

 

 


Larval survey technique

 

The activities of this research are programmed during the dry season (November-February), the period of the transition between the dry season and the rainy season (in April) and the rainy season (June-July) from the years 2016 to 2018. At each survey, we take geographic coordinates, we collect the larvae and we determine the larval density. The information collected is entered into the maps.

 

 

RESULTS

 

During the rainy season, 992 potential breedings sites and 603 positive breedings sites  of mosquitoes were recorded among which 342 (34.48%) were potential and 243 (40.30%) positive in Kandi, 315 (31.75%) potential and 186 (30.85%) in Gogounou then 335 (33.77%) potential and 174 (28.86%) positive in Ségbana (Table I).

On the other hand, during the dry season, 639 potential breedings sites and 431 positive breedings sites were recorded among which 324 (50.70%) were potential and 190 (44.08%) positive in Kandi, 107 (16.74%) potential and 119 (27.61%) in Gogounou then 208 (32.77%) potential and 122 (28.31%) positive in Ségbana (Table I). In the commune of Kandi, the number of breeding sites (positive and potential) is high during the two seasons (Table II). Consequently, the malaria risk incurred by the population of Kandi in the Alibori department is higher and it also depends on the position of this population in relation to the lodgings because in an area where there are many breedings larvaes, there are so has a lot of mosquitoes. On the other hand, the malaria risk incurred by the population of Ségbana is low because in this commune, the positive sites recorded are rare and distant, especially during the dry season. So this population runs less risk during the dry season.

We thus note a variation in the distribution of potential roosts according to the seasons in Kandi and Gogounou but not in Ségbana. Furthermore, there is no variation in the distribution of positive roosts according to the seasons (Confidence interval test).


                                       



Table I: Distribution of positive and potential sites of malaria vectors in the communes and districts of the Kandi-Gogounou-Ségbana health zone

Potentials breedings

 Positives breedings

Rainy season

Dry season

Rainy season

Dry season

Districts/ borough

n

%

IC-95%

n

%

IC-95%

n

%

IC-95%

n

%

IC-95%

Gogounou

105

33.33

28.15

38.84

71

66.36

56.58

75.20

157

84.41

78.38

89.30

107

89.92

83.05

94.68

Gounarou

5

1.59

0.52

3.67

11

10.28

5.24

17.65

17

9.14

5.41

14.23

3

2.52

0.52

7.19

Sori

205

65.08

59.53

70.34

25

23.36

15.73

32.53

12

6.45

3.38

11.00

9

7.56

3.52

13.87

 Gogounou district

315

31.75

28.86

34.75

107

16.74

13.93

19.87

186

30.85

27.18

34.70

119

27.61

23.44

32.09

Angaradébou

35

10.23

7.23

13.94

18

5.56

3.33

8.64

23

9.47

6.09

13.86

14

7.37

4.09

12.05

Kandi 1

102

29.82

25.02

34.98

152

46.91

41.38

52.51

107

44.03

37.69

50.52

91

47.89

40.61

55.25

Kandi2

77

22.51

18.20

27.32

62

19.14

15.00

23.85

35

14.40

10.24

19.46

14

7.37

4.09

12.05

Kandi3

49

14.33

10.79

18.50

49

15.12

11.40

19.50

22

9.05

5.76

13.39

21

11.05

6.97

16.40

Kassakou

29

8.48

5.75

11.95

14

4.32

2.38

7.14

39

16.05

11.67

21.28

38

20.00

14.56

26.40

Sonsoro

50

14.62

11.05

18.82

29

8.95

6.08

12.60

17

7.00

4.13

10.96

12

6.32

3.31

10.77

Kandi district

342

34.48

31.52

37.53

324

50.70

46.75

54.65

243

40.30

36.36

44.34

190

44.08

39.33

48.91

Libantè

107

31.94

26.98

37.23

55

26.44

20.58

32.99

82

52.87

45.18

60.47

52

42.62

33.72

51.90

Libousou

23

6.87

4.40

10.12

17

8.17

4.83

12.76

17

9.77

5.80

15.18

13

10.66

5.80

17.53

Ségbana

205

61.19

55.75

66.44

136

65.38

58.49

71.83

75

43.10

35.63

50.81

56

45.90

36.85

55.16

Ségbana district

335

33.77

30.83

36.81

208

32.55

28.93

36.34

174

28.86

25.27

32.65

122

28.31

24.10

32.81

Grand Total

992

639

 

603

431


Typology of mosquito breeding sites in the KGS health zone

 

Figure 2 shows the variation in the typology of mosquito roosts according to the seasons. These mosquitoes breedings also fall into three genera, namely Anopheles, Culex and Aedes.

The genera of mosquitoes collected in these different types of sites were Anopheles, Culex and Aedes. The species richness varied between the different types of sites.

In fact, in the dry season, the roosts were mostly recorded in sumps (Culex, mixed and Anopheles), backwaters (Anopheles, and mixed), jars (Anopheles, Culex, mixed and Aedes), holes (Anopheles). On the other hand, in the rainy season, mosquito larvae were more abundant in backwaters (Anopheles and mixed), jars (Aedes), borrow pits (Anopheles), pits, shallows and sumps.

The typology results of the breeding sites in the KGS health zone show that the high numbers of anopheles and mixed breeding sites (figure 2) were observed during the rainy season (April- July) during the dry season (October- November) in backwaters, pits and shallows and in the study areas. In addition, there is an increase in breeding sites in Culex in the sumps and in Aedes during the dry season. The decrease in the number of mosquito breeding sites observed during the dry season unlike the rainy season is due to higher rainfall heights during the rainy season. This is what explains the variation in breeding sites during the two seasons.


 

Description: C:\Users\LOKONON Sylvain\Documents\fig2.GIF

Figure 2: Proportion of types of mosquito breeding sites in the communes of Kandi, Gogounou and Ségbana

 

 


Distribution of Anopheles larvae density according to the physiography of the area

 

The KGS health zone is irrigated by the Niger River, its tributaries, dams, lakes and water points that are surface water channels favorable to mosquito proliferation. The communes of Gogounou and Kandi constitute in majority much more high points in block. These communes receive collections of water that can remain for several days without drying up. Localities with low topographic values have a high density of mosquito larvae, whereas very few larvae have been recorded in the high altitude localities of the health zone.

Figure 3 shows the spatial distribution of Anopheles larval density as a function of elevation. The distribution of Anopheles varies from 1 to 350 meters while the elevation varies from 0 to 378 meters. The district of Kandi has more larvae than the communes of Gogounou and Segbana. In these three districts, there are more Anopheles gambiae larvae in the lower elevations.


.

 

Description: E:\GJOURNALS\Downloads\2021\June\062821058 Sominahouin et al\Original\Fig 3.jpg

Figure 3: Physiographic distribution of Anopheles larvae density in the districts of Kandi, Gogounou and Segbana.

 

 


DISCUSSION

 

The larval surveys carried out in this work showed that the study area has a diversity of breeding sites. The majority of these breeding sites have been created by humans as a result of their activities (agricultural activities, artificial water surfaces, etc.). These roosts, especially those with at least one larva, are found in the immediate environment of human populations (less than 400 m from dwellings) as also observed in Benin by Akogbeto (2000). In addition, these sites are conducive to the development of mosquitoes of the genera Culex, Aedes and Anopheles which are major vectors of many pathogens responsible for many pathologies including malaria, chikungunya, filariasis, dengue, yellow fever, the zika virus. (Rodhain, 2015). These results are similar to those of Tia et al. (2016) who showed the responsibility of the inhabitants in the establishment of conditions conducive to the development and maintenance of mosquitoes through the creation of their larval habitats. The classic sites listed are sunny, clean, clear water points (Mouchet et al., 2004). In northern Benin, these are puddles, temporary ponds, earthen holes or brick quarry holes. These lodgings bear witness to poor sanitation of the living environment due to the laxity of the competent public services and / or the negligence of the local population. Likewise, the observation of rice fields, lowlands used for market gardening and watering wells shows the dynamism of urban agriculture in the locality, a cause of urban malaria of the same importance as the more classic rural malaria. . In the departments of Alibori and Atacora, in rural areas, the classic lodgings observed are the lowlands that surround the village and used for rice cultivation and whose water is kept in jars for domestic use. In addition to these lowlands, the presence of many temporary pools or puddles of anthropogenic origin constitute a source of culicidian nuisance for the populations and a risk factor for malaria in this locality. There is a need to raise awareness about sanitation of the living environment and the use of LLINs. Conserving water from the rains or from the aforementioned sources makes it possible to reduce the physical effort imposed on women, that of traveling long distances to meet the family's water needs. In addition to the cisterns, An. gambiae s.l. was also collected in barrels, animal drinkers (duck, chicken) with greenish and shaded waters. We observe that An. gambiae s.l was collected as well and with the same abundance in the classic roosts as in the atypical roosts where the water is generally cloudy (cistern, barrel,) or polluted (animal drinking troughs) like (Karch et al., 1993; Coffinet et al., 2009; Noumi et al., 2012). This observation reveals that these deposits, in particular the domestic water storage jars, are no longer the prerogative of Ae . aegypti, but that the presence of An.gambiae in these atypical sites should now call on those responsible for malaria control programs to take it into account in vector control projects.

 

 

CONCLUSION

 

The results obtained during this study show that mosquitoes thrive in all types of water points but prefer artificial water surfaces. The majority of positive larval habitats were found in the immediate environment of human populations. The maximum number of breeding sites and larvae was recorded in the rainy season with an abundance of larvae of the Culicinae subfamily compared to those of the Anophelinae subfamily. This larval production is dependent on the season, human practices and the length of time the water is stored in artificial containers. The rainy season is when mosquitoes develop due to the presence of rainwater puddles, the main ecological preference of mosquitoes of the genus Anopheles. So after the rains and floods, think about mosquitoes by taking measures to limit the proliferation of mosquitoes. The central state must increase village water supplies, make them geographically and financially accessible to all. This will make it possible to limit the use of rainwater and marshes towards homes and therefore that of the nuisance of mosquitoes. Local authorities should organize communication sessions with the population for behavior change. The intervention of municipal authorities through community radio channels can significantly reduce the risk of the spread of mosquitoes and diseases. It is also necessary to backfill the depressions of the tracks, to the cleaning of the gutters. Such an action allows the suppression of hen nests which are true breeding grounds for mosquitoes. The vulnerability maps obtained from the addition of the physiographic layers considered in each model show the variability of vulnerability levels for each genus of Culicidae. These results show that more than half of the territory of the Kandi-Gogounou-Segbana health zone offers good ecological conditions for mosquito development, thus exposing more than half of the population to diseases caused by these mosquitoes.

 

Competing interests

 

The authors declare having no competing interests.

 

Acknowledgment

 

Funding

This study was financially supported by the Centre de Recherche Entomologique de Cotonou

 

Availability of data and materials

The data supporting the conclusions of this article are included within the article. The raw data used and/or analyzed in this study are available from the corresponding author upon reasonable request.

 

Authors’ contributions

 

ASS, GGP, RA and MCA designed the study. ASS, MA, FA and MCA participated in the design of the study. ASS, EO SA, FA and AAS collected entomological data. ASS, SA, FA and AAS carried out bioassays and laboratory analysis. ASS and MCA drafted the manuscript. FA, AS, RA, AF, KC and MCA critically revised the manuscript for intellectual content. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

 

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Cite this Article: Sominahouin A; Padonou GG; Osse R; Salako AS; Sagbohan H;  Odjo E; Afagnon MW; Assogba B; Fassinou A; Koukpo C; Agossa F; Tokponnon F; Dagnon F; Houssou C; Akogbéto MC (2021). Spatial and temporal distribution of malaria, dengue and lymphatic filariasis vector larval breeding sites diversity in Northern Benin. Greener Journal of Biological Sciences, 11(2): 65-73.