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Influence of Climatic Factors on Aggression and Infectivity of Anopheles in the Districts the Indoor Residual Spray (IRS) in Northern Benin, West Africa

Received: 28 November 2019     Accepted: 18 December 2019     Published: 6 January 2020
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Abstract

Background: Climate variability influence the diversity and abundance of malaria vectors and thereby on malaria transmission dynamics. Examine its effect on Anopheles parameters involved in transmission may predict the potential malaria hotspot as a right target for its control intervention strategies. Here, we investigated the influence of meteorological parameters on the aggressiveness and infectivity of Anopheles in two health districts zones where IRS has been extended in Northern Benin. Mosquito collections were carried out using human landing catches to evaluate rates of aggression and infectivity in twelve villages. Concomitantly, meteorological data from synoptic stations of Benin and neighbouring countries were collected in 2016-2017. The spatial distribution of infective bites of An. gambiae is characterized by an intense aggression in the rural villages of the study area. Analysis of variances showed significant HBR difference according to the period but not according to the locality. However, the same analysis carried out with the infectivity rate shows no significant difference according to the period and the locality. In addition, the number of infective bites per man per month is higher in August and October, and the climatic parameters that have mainly favoured aggression are wind speed, humidity, sunshine and temperature. Indeed, the peak of wind speed is concentrated around 1.2 km / h and in September (5 km / h) whereas the aggressiveness score of Anopheles in the region is greater than 10 infective bites per man a year. Malaria transmission by Anopheles is influenced by climatic factors. The climate observed in the districts where IRS was extended in northern Benin has a real impact on Anopheles density and weakens current and future vector control strategies. This could lead to a series of modifications observed in anopheline populations just after IRS implementation ranging from a tendency to exophagy, from a decrease in the rate of blood-feeding to changes in the time, and change in aggressiveness. These phenomena most likely contribute to the sustainability of malaria transmission despite vector control measures.

Published in American Journal of Laboratory Medicine (Volume 5, Issue 1)
DOI 10.11648/j.ajlm.20200501.11
Page(s) 1-13
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Infectivity, Aggression, Climate, Anopheles gambiae (s.l.), IRS, Benin

References
[1] Craig MH, Snow RW, Le Sueur D. A climate based distribution model of malaria transmission in sub-Saharan Africa. Parasitol Today. 1999; 15: 105-111.
[2] Hay SI, Snow RW, Rogers DL. Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Trans R Soc Trop Med Hyg. 1998; 92: 12-20.
[3] Grover-Kopec E, Kawano M, W Klaver RW, Blumenthal B, Ceccato P, Connor SJ. An online operational rainfall-monitoring resource for epidemic malaria early warning systems in Africa. Malar J. 2005; 4: 6.
[4] Thomson MC, Mason SJ, Phindela T, Connor SJ. Use of rainfall and Sea Surface Temperature monitoring for Malaria Early Warning in Botswana. Am J Trop Med Hyg. 2005; 73: 214-221.
[5] Mouchet J, Manguin S: Global warming and malaria expansion. Annales de la Société Entomologique. 1999, 35: 549-555.
[6] WHO: World Malaria Report 2009. Geneva, Switzerland: World Health Organization; 2009.
[7] Steketee RW, Campbell CC. Impact of national malaria control scale-up programmes in Africa: magnitude and attribution of effects. Malar J 2010; 9: 299.
[8] Morens DM., Folkers GK., and Fauci AS. The challenge of emerging and re-emerging infectious diseases. Nature. 2004; 430: 242-249.
[9] Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, Daszak P. Global trends in emerging infectious diseases. Nature. 2008; 451: 990-993.
[10] Suaya JA, Shepard DS, Siqueira JB, Martelli CT, Lum LC, Tan LH, Kongsin S, Jiamton S, Garrido F, Montoya R et al. Cost of Dengue Cases in Eight Countries in the Americas and Asia: A Prospective Study. American Journal of Tropical Medicine and Hygiene. 2009; 80: 5: 846-855.
[11] Kouame AKD, Adingra YGP, Kassi AJ, Toure OA, Hauhouot AC. Contribution des données géospatiales à l’étude du risque de paludisme en milieu péri-urbain: cas de la localité d’Anonkouakouté (Abidjan, Côte d’Ivoire). International Journal of Engineering Science Invention (IJESI). 2018; 7: 1: 81-88.
[12] Taylor SE, Lehman BJ, Kiefe CI, Seeman, TE. Relationship of early life stress and psychological functioning to adult C-reactive protein in the Coronary Artery Risk Development in Young Adults study. Biological Psychiatry. 2006; 60: 819–824.
[13] Lehmann T, Diabate A. The molecular form of Anopheles gambiae: aphenotipic perspective. Infect Genet Evol. 2008; 8: 737-746.
[14] Charlwood JD, Billingsley PF. Dry season refugia of malaria-transmitting mosquitoes in a dry savannah zone of East Africa. Am J Trop Med Hyg. 2000; 62: 726–732.
[15] Donnelly MJ, Simard F, Lehmann T. Evolutionary studies of malaria vectors. Trends Parasitol. 2002; 18: 75–80.
[16] Kweka JE, Zhou G, Munga S, Lee M, Atieli EH, Nyindo M, Githeko KA, Guiyun Yan. Anopheline Larval Habitats Seasonality and Species Distribution: A Prerequisite for Effective Targeted Larval Habitats Control Programmes. journal.pone. 2012; 7: 12.
[17] Kpondjo NM, Développement des larves de moustiques dans un écosystème particulier: milieu sous jacinthe d'eau Eichhorniacrassipes (Mart) Solms-Laubauch, 2008.
[18] AFB. Faune et flore des milieux humides, sante publique, http://www.zones-humides.org/moustiques-zones-humides.2018.
[19] IRSP, prévention et renforcement des systèmes de santé programmes et resumes des communications benin. 2016; 148.
[20] Ministère de la santé du bénin. 2016.
[21] Annuaire des statistiques sanitaires du Benin. 2016; 164.
[22] Beier JC, Perkins PV, Wirtz RA. Field evaluation of an enzyme-linked immune sorbent assay (ELISA) for Plasmodium falciparum sporozoite detection in anopheline mosquitoes from Kenya. Am J Trop Med Hyg.1987; 36 (3): 459–468. PubMed Abstract.
[23] Beier JC, Perkins PV, Wirtz RA, Koros J, Diggs D, Gargan TP and Koechy DK. Blood meal identification by direct enzyme-linked immunosorbent assay (ELISA\, lested on Anopheles (Diptera: Culicidae) in Kenya. J. Med. Entomol. 1988; 25:9-1.
[24] Molineaux L, Storey J, Cohen JE, Thomas A. A longitudinal study of human malaria in the West African savanna in the absence of control measures: Relationships between different Plasmodium species, in particular P. falciparum and P. malariae. American Journal of Tropical Medicine and Hygiene. 1980; 29:725–737. [PubMed] [Google Scholar]
[25] Klinkenberg E, McCall PJ, Michael DW, Amerasinghe FP, Donnelly MJ. Impact of urban agriculture on malaria vectors in Accra, Ghana. Malaria Journal. 2008; 7: 151. DOI: 10.1186/1475- 2875-7-151.
[26] Akono NP, Tonga C, Mbida J, Ngo HO, Awono-Ambene P, Ndo C, et al. Anopheles gambiae, vecteur majeur du paludisme à Logbessou, zone péri-urbaine de Douala (Cameroun). Bull Soc Pathologie Exotique. 2015; 108: 360–368. DOI: 10.1007/s13149-015-0452-3.
[27] Rodhain F, Pérez C, 1985. Précis d'entomologie médicale et vétérinaire, Notion d'épidémiologie des maladies à vecteurs. Maloine s. a.; 77-152.
[28] Tchuinkam T. Biologie et épidémiologie de la transmission homme-moustique de Plasmodium falciparum: rôle de la gamétocytémie, influence des antimalariques et implications pour le paludisme d'altitude. Thèse d'Etat, Université de Yaoundé I. 2007.
[29] https://www.mosquitosquad.com/central-illinois/about-us/blog/2018/july/how-does-weather-affect-mosquito-activity-/
[30] Yadouleton A, Aïkpon R, Houndeton G, Aboubacar S, Ursins F, Tchibçozo C, et al. Preliminary entomological data for the implementation of insecticide residual spray in the district of Copargao, North-East of Benin. 2018; Int. J. Biol. Chem. Sci. 12(5): 1993-2003.
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    André Sominahouin, Germain Gil Padonou, Rodrigue Landéhou, Albert Sourou Salako, Hermann Sagbohan, et al. (2020). Influence of Climatic Factors on Aggression and Infectivity of Anopheles in the Districts the Indoor Residual Spray (IRS) in Northern Benin, West Africa. American Journal of Laboratory Medicine, 5(1), 1-13. https://doi.org/10.11648/j.ajlm.20200501.11

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    André Sominahouin; Germain Gil Padonou; Rodrigue Landéhou; Albert Sourou Salako; Hermann Sagbohan, et al. Influence of Climatic Factors on Aggression and Infectivity of Anopheles in the Districts the Indoor Residual Spray (IRS) in Northern Benin, West Africa. Am. J. Lab. Med. 2020, 5(1), 1-13. doi: 10.11648/j.ajlm.20200501.11

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    AMA Style

    André Sominahouin, Germain Gil Padonou, Rodrigue Landéhou, Albert Sourou Salako, Hermann Sagbohan, et al. Influence of Climatic Factors on Aggression and Infectivity of Anopheles in the Districts the Indoor Residual Spray (IRS) in Northern Benin, West Africa. Am J Lab Med. 2020;5(1):1-13. doi: 10.11648/j.ajlm.20200501.11

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  • @article{10.11648/j.ajlm.20200501.11,
      author = {André Sominahouin and Germain Gil Padonou and Rodrigue Landéhou and Albert Sourou Salako and Hermann Sagbohan and Idelphonse Ahogni and Sylvain Lokonon and Razaki Osse and Arsène Fassinou and Bénoît Assogba and Fiacre Agossa and Fortuné Dagnon and Christophe Houssou and Martin Akogbéto},
      title = {Influence of Climatic Factors on Aggression and Infectivity of Anopheles in the Districts the Indoor Residual Spray (IRS) in Northern Benin, West Africa},
      journal = {American Journal of Laboratory Medicine},
      volume = {5},
      number = {1},
      pages = {1-13},
      doi = {10.11648/j.ajlm.20200501.11},
      url = {https://doi.org/10.11648/j.ajlm.20200501.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajlm.20200501.11},
      abstract = {Background: Climate variability influence the diversity and abundance of malaria vectors and thereby on malaria transmission dynamics. Examine its effect on Anopheles parameters involved in transmission may predict the potential malaria hotspot as a right target for its control intervention strategies. Here, we investigated the influence of meteorological parameters on the aggressiveness and infectivity of Anopheles in two health districts zones where IRS has been extended in Northern Benin. Mosquito collections were carried out using human landing catches to evaluate rates of aggression and infectivity in twelve villages. Concomitantly, meteorological data from synoptic stations of Benin and neighbouring countries were collected in 2016-2017. The spatial distribution of infective bites of An. gambiae is characterized by an intense aggression in the rural villages of the study area. Analysis of variances showed significant HBR difference according to the period but not according to the locality. However, the same analysis carried out with the infectivity rate shows no significant difference according to the period and the locality. In addition, the number of infective bites per man per month is higher in August and October, and the climatic parameters that have mainly favoured aggression are wind speed, humidity, sunshine and temperature. Indeed, the peak of wind speed is concentrated around 1.2 km / h and in September (5 km / h) whereas the aggressiveness score of Anopheles in the region is greater than 10 infective bites per man a year. Malaria transmission by Anopheles is influenced by climatic factors. The climate observed in the districts where IRS was extended in northern Benin has a real impact on Anopheles density and weakens current and future vector control strategies. This could lead to a series of modifications observed in anopheline populations just after IRS implementation ranging from a tendency to exophagy, from a decrease in the rate of blood-feeding to changes in the time, and change in aggressiveness. These phenomena most likely contribute to the sustainability of malaria transmission despite vector control measures.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Influence of Climatic Factors on Aggression and Infectivity of Anopheles in the Districts the Indoor Residual Spray (IRS) in Northern Benin, West Africa
    AU  - André Sominahouin
    AU  - Germain Gil Padonou
    AU  - Rodrigue Landéhou
    AU  - Albert Sourou Salako
    AU  - Hermann Sagbohan
    AU  - Idelphonse Ahogni
    AU  - Sylvain Lokonon
    AU  - Razaki Osse
    AU  - Arsène Fassinou
    AU  - Bénoît Assogba
    AU  - Fiacre Agossa
    AU  - Fortuné Dagnon
    AU  - Christophe Houssou
    AU  - Martin Akogbéto
    Y1  - 2020/01/06
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajlm.20200501.11
    DO  - 10.11648/j.ajlm.20200501.11
    T2  - American Journal of Laboratory Medicine
    JF  - American Journal of Laboratory Medicine
    JO  - American Journal of Laboratory Medicine
    SP  - 1
    EP  - 13
    PB  - Science Publishing Group
    SN  - 2575-386X
    UR  - https://doi.org/10.11648/j.ajlm.20200501.11
    AB  - Background: Climate variability influence the diversity and abundance of malaria vectors and thereby on malaria transmission dynamics. Examine its effect on Anopheles parameters involved in transmission may predict the potential malaria hotspot as a right target for its control intervention strategies. Here, we investigated the influence of meteorological parameters on the aggressiveness and infectivity of Anopheles in two health districts zones where IRS has been extended in Northern Benin. Mosquito collections were carried out using human landing catches to evaluate rates of aggression and infectivity in twelve villages. Concomitantly, meteorological data from synoptic stations of Benin and neighbouring countries were collected in 2016-2017. The spatial distribution of infective bites of An. gambiae is characterized by an intense aggression in the rural villages of the study area. Analysis of variances showed significant HBR difference according to the period but not according to the locality. However, the same analysis carried out with the infectivity rate shows no significant difference according to the period and the locality. In addition, the number of infective bites per man per month is higher in August and October, and the climatic parameters that have mainly favoured aggression are wind speed, humidity, sunshine and temperature. Indeed, the peak of wind speed is concentrated around 1.2 km / h and in September (5 km / h) whereas the aggressiveness score of Anopheles in the region is greater than 10 infective bites per man a year. Malaria transmission by Anopheles is influenced by climatic factors. The climate observed in the districts where IRS was extended in northern Benin has a real impact on Anopheles density and weakens current and future vector control strategies. This could lead to a series of modifications observed in anopheline populations just after IRS implementation ranging from a tendency to exophagy, from a decrease in the rate of blood-feeding to changes in the time, and change in aggressiveness. These phenomena most likely contribute to the sustainability of malaria transmission despite vector control measures.
    VL  - 5
    IS  - 1
    ER  - 

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Author Information
  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

  • Department of Geography and Spatial Planning, University of Abomey, Calavi, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

  • Faculty of Economics and Management, University of Abomey, Calavi, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

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

  • Department of Geography and Spatial Planning, University of Abomey, Calavi, Benin

  • Cotonou Entomological Research Center (CREC), Cotonou, Benin

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