Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria

Manyi Manasseh Msugh-Ter; Dechi Aloysius Aondowase; Azua Emmanuel Terese

doi:doi:10.11648/j.aje.20170102.12

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Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria

Manyi Manasseh Msugh-Ter, Dechi Aloysius Aondowase, Azua Emmanuel Terese

Published in American Journal of Entomology (Volume 1, Issue 2)

Received: 29 May 2017 Accepted: 26 August 2017 Published: 9 October 2017

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Abstract

Association between meteorological indices and two major malaria vectors - Anopheles gambiae and Anopheles funestus complexes was determined in the Federal University of Agriculture Makurdi community, Nigeria, from July, 2015 to June, 2016. Meteorological data (Temperature, Rainfall and Relative Humidity) were obtained at the Nigerian Meteorological Agency, Tactical Air Command in Makurdi. Adult Anopheles mosquitoes (n = 3,053), comprising Anopheles gambiae s.l. [1,981(64.9%)] and Anopheles funestus complex [1,072(35.1%)], were collected indoors across four localities in the University Community and identified using standard keys and procedures. There were no marked fluctuations in mean atmospheric temperature throughout the study period, with the highest records of 35.9°C and 37.9°C for February and April, 2016 respectively. Relative humidity increased proportionally to rainfall, ranging from 46% - 89%. The Anopheles vector population was significantly (P < 0.05) higher during the wet season than the dry season. Pearsons’s correlation showed strong negative and significant relationship (r = -0.707, -0.653, P < 0.05) between temperature and the Anopheles species across the localities. Rainfall and relative humidity correlated positively and significantly (r = 0.735, 0.632, P < 0.05) with the Anopheles species’ population. Regression analysis showed strong linear relationships (R² = 0.506465, R² = 0.526724 and R² = 0.665319 for temperature, rainfall and humidity respectively) between meteorological indices and the Anopheles population. This work has added to the existing data on the relationship between malaria vectors and weather factors which may enhance knowledge on malaria entomology and future malaria control interventions in the study area and beyond.

Published in	American Journal of Entomology (Volume 1, Issue 2)
DOI	10.11648/j.aje.20170102.12
Page(s)	31-38
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), 2017. Published by Science Publishing Group

Keywords

Weather Parameters, Malaria, Anopheles Species, University Community, Makurdi, Nigeria

References

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APA Style

Manyi Manasseh Msugh-Ter, Dechi Aloysius Aondowase, Azua Emmanuel Terese. (2017). Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria. American Journal of Entomology, 1(2), 31-38. https://doi.org/10.11648/j.aje.20170102.12

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ACS Style

Manyi Manasseh Msugh-Ter; Dechi Aloysius Aondowase; Azua Emmanuel Terese. Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria. Am. J. Entomol. 2017, 1(2), 31-38. doi: 10.11648/j.aje.20170102.12

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AMA Style

Manyi Manasseh Msugh-Ter, Dechi Aloysius Aondowase, Azua Emmanuel Terese. Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria. Am J Entomol. 2017;1(2):31-38. doi: 10.11648/j.aje.20170102.12

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@article{10.11648/j.aje.20170102.12,
  author = {Manyi Manasseh Msugh-Ter and Dechi Aloysius Aondowase and Azua Emmanuel Terese},
  title = {Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria},
  journal = {American Journal of Entomology},
  volume = {1},
  number = {2},
  pages = {31-38},
  doi = {10.11648/j.aje.20170102.12},
  url = {https://doi.org/10.11648/j.aje.20170102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aje.20170102.12},
  abstract = {Association between meteorological indices and two major malaria vectors - Anopheles gambiae and Anopheles funestus complexes was determined in the Federal University of Agriculture Makurdi community, Nigeria, from July, 2015 to June, 2016. Meteorological data (Temperature, Rainfall and Relative Humidity) were obtained at the Nigerian Meteorological Agency, Tactical Air Command in Makurdi. Adult Anopheles mosquitoes (n = 3,053), comprising Anopheles gambiae s.l. [1,981(64.9%)] and Anopheles funestus complex [1,072(35.1%)], were collected indoors across four localities in the University Community and identified using standard keys and procedures. There were no marked fluctuations in mean atmospheric temperature throughout the study period, with the highest records of 35.9°C and 37.9°C for February and April, 2016 respectively. Relative humidity increased proportionally to rainfall, ranging from 46% - 89%. The Anopheles vector population was significantly (P < 0.05) higher during the wet season than the dry season. Pearsons’s correlation showed strong negative and significant relationship (r = -0.707, -0.653, P < 0.05) between temperature and the Anopheles species across the localities. Rainfall and relative humidity correlated positively and significantly (r = 0.735, 0.632, P < 0.05) with the Anopheles species’ population. Regression analysis showed strong linear relationships (R2 = 0.506465, R2 = 0.526724 and R2 = 0.665319 for temperature, rainfall and humidity respectively) between meteorological indices and the Anopheles population. This work has added to the existing data on the relationship between malaria vectors and weather factors which may enhance knowledge on malaria entomology and future malaria control interventions in the study area and beyond.},
 year = {2017}
}

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TY  - JOUR
T1  - Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria
AU  - Manyi Manasseh Msugh-Ter
AU  - Dechi Aloysius Aondowase
AU  - Azua Emmanuel Terese
Y1  - 2017/10/09
PY  - 2017
N1  - https://doi.org/10.11648/j.aje.20170102.12
DO  - 10.11648/j.aje.20170102.12
T2  - American Journal of Entomology
JF  - American Journal of Entomology
JO  - American Journal of Entomology
SP  - 31
EP  - 38
PB  - Science Publishing Group
SN  - 2640-0537
UR  - https://doi.org/10.11648/j.aje.20170102.12
AB  - Association between meteorological indices and two major malaria vectors - Anopheles gambiae and Anopheles funestus complexes was determined in the Federal University of Agriculture Makurdi community, Nigeria, from July, 2015 to June, 2016. Meteorological data (Temperature, Rainfall and Relative Humidity) were obtained at the Nigerian Meteorological Agency, Tactical Air Command in Makurdi. Adult Anopheles mosquitoes (n = 3,053), comprising Anopheles gambiae s.l. [1,981(64.9%)] and Anopheles funestus complex [1,072(35.1%)], were collected indoors across four localities in the University Community and identified using standard keys and procedures. There were no marked fluctuations in mean atmospheric temperature throughout the study period, with the highest records of 35.9°C and 37.9°C for February and April, 2016 respectively. Relative humidity increased proportionally to rainfall, ranging from 46% - 89%. The Anopheles vector population was significantly (P < 0.05) higher during the wet season than the dry season. Pearsons’s correlation showed strong negative and significant relationship (r = -0.707, -0.653, P < 0.05) between temperature and the Anopheles species across the localities. Rainfall and relative humidity correlated positively and significantly (r = 0.735, 0.632, P < 0.05) with the Anopheles species’ population. Regression analysis showed strong linear relationships (R2 = 0.506465, R2 = 0.526724 and R2 = 0.665319 for temperature, rainfall and humidity respectively) between meteorological indices and the Anopheles population. This work has added to the existing data on the relationship between malaria vectors and weather factors which may enhance knowledge on malaria entomology and future malaria control interventions in the study area and beyond.
VL  - 1
IS  - 2
ER  -

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Author Information

Manyi Manasseh Msugh-Ter

Applied Entomology and Parasitology Unit, Department of Biological Sciences, Federal University of Agriculture, Makurdi, Nigeria
Dechi Aloysius Aondowase

Department of Biology, College of Education, Katsina-Ala, Nigeria
Azua Emmanuel Terese

Environmental Science Unit, Department of Biological Sciences, Federal University of Agriculture, Makurdi, Nigeria

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Manyi Manasseh Msugh-Ter, Dechi Aloysius Aondowase, Azua Emmanuel Terese. (2017). Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria. American Journal of Entomology, 1(2), 31-38. https://doi.org/10.11648/j.aje.20170102.12

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ACS Style

Manyi Manasseh Msugh-Ter; Dechi Aloysius Aondowase; Azua Emmanuel Terese. Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria. Am. J. Entomol. 2017, 1(2), 31-38. doi: 10.11648/j.aje.20170102.12

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AMA Style

Manyi Manasseh Msugh-Ter, Dechi Aloysius Aondowase, Azua Emmanuel Terese. Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria. Am J Entomol. 2017;1(2):31-38. doi: 10.11648/j.aje.20170102.12

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@article{10.11648/j.aje.20170102.12,
  author = {Manyi Manasseh Msugh-Ter and Dechi Aloysius Aondowase and Azua Emmanuel Terese},
  title = {Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria},
  journal = {American Journal of Entomology},
  volume = {1},
  number = {2},
  pages = {31-38},
  doi = {10.11648/j.aje.20170102.12},
  url = {https://doi.org/10.11648/j.aje.20170102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aje.20170102.12},
  abstract = {Association between meteorological indices and two major malaria vectors - Anopheles gambiae and Anopheles funestus complexes was determined in the Federal University of Agriculture Makurdi community, Nigeria, from July, 2015 to June, 2016. Meteorological data (Temperature, Rainfall and Relative Humidity) were obtained at the Nigerian Meteorological Agency, Tactical Air Command in Makurdi. Adult Anopheles mosquitoes (n = 3,053), comprising Anopheles gambiae s.l. [1,981(64.9%)] and Anopheles funestus complex [1,072(35.1%)], were collected indoors across four localities in the University Community and identified using standard keys and procedures. There were no marked fluctuations in mean atmospheric temperature throughout the study period, with the highest records of 35.9°C and 37.9°C for February and April, 2016 respectively. Relative humidity increased proportionally to rainfall, ranging from 46% - 89%. The Anopheles vector population was significantly (P < 0.05) higher during the wet season than the dry season. Pearsons’s correlation showed strong negative and significant relationship (r = -0.707, -0.653, P < 0.05) between temperature and the Anopheles species across the localities. Rainfall and relative humidity correlated positively and significantly (r = 0.735, 0.632, P < 0.05) with the Anopheles species’ population. Regression analysis showed strong linear relationships (R2 = 0.506465, R2 = 0.526724 and R2 = 0.665319 for temperature, rainfall and humidity respectively) between meteorological indices and the Anopheles population. This work has added to the existing data on the relationship between malaria vectors and weather factors which may enhance knowledge on malaria entomology and future malaria control interventions in the study area and beyond.},
 year = {2017}
}

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TY  - JOUR
T1  - Association of Meteorological Factors with Two Principal Malaria Vector Complexes in the University of Agriculture Makurdi Community, Central Nigeria
AU  - Manyi Manasseh Msugh-Ter
AU  - Dechi Aloysius Aondowase
AU  - Azua Emmanuel Terese
Y1  - 2017/10/09
PY  - 2017
N1  - https://doi.org/10.11648/j.aje.20170102.12
DO  - 10.11648/j.aje.20170102.12
T2  - American Journal of Entomology
JF  - American Journal of Entomology
JO  - American Journal of Entomology
SP  - 31
EP  - 38
PB  - Science Publishing Group
SN  - 2640-0537
UR  - https://doi.org/10.11648/j.aje.20170102.12
AB  - Association between meteorological indices and two major malaria vectors - Anopheles gambiae and Anopheles funestus complexes was determined in the Federal University of Agriculture Makurdi community, Nigeria, from July, 2015 to June, 2016. Meteorological data (Temperature, Rainfall and Relative Humidity) were obtained at the Nigerian Meteorological Agency, Tactical Air Command in Makurdi. Adult Anopheles mosquitoes (n = 3,053), comprising Anopheles gambiae s.l. [1,981(64.9%)] and Anopheles funestus complex [1,072(35.1%)], were collected indoors across four localities in the University Community and identified using standard keys and procedures. There were no marked fluctuations in mean atmospheric temperature throughout the study period, with the highest records of 35.9°C and 37.9°C for February and April, 2016 respectively. Relative humidity increased proportionally to rainfall, ranging from 46% - 89%. The Anopheles vector population was significantly (P < 0.05) higher during the wet season than the dry season. Pearsons’s correlation showed strong negative and significant relationship (r = -0.707, -0.653, P < 0.05) between temperature and the Anopheles species across the localities. Rainfall and relative humidity correlated positively and significantly (r = 0.735, 0.632, P < 0.05) with the Anopheles species’ population. Regression analysis showed strong linear relationships (R2 = 0.506465, R2 = 0.526724 and R2 = 0.665319 for temperature, rainfall and humidity respectively) between meteorological indices and the Anopheles population. This work has added to the existing data on the relationship between malaria vectors and weather factors which may enhance knowledge on malaria entomology and future malaria control interventions in the study area and beyond.
VL  - 1
IS  - 2
ER  -

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