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) |
|
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 |
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Keywords: |
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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.
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.
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.
.
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. |