Assessment of indoor resting density of female Anopheline mosquitoes in human dwelling at malaria vector sentinel sites in Bauchi State, Nigeria

Umar, Aliyu M.; Kabir, B. G. J.; Abdullahi, Mohammed Baba; Barde, Auwal Alhassan; Misau, A A; Sambo, M L; Babuga, U.; Kobi, M

doi:10.12988/asb.2015.5210

Cited by 6 publications

(9 citation statements)

References 15 publications

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“…[ 19 ] and Umar et al . [ 22 ], in relation to unbalanced and seasonal malaria transmission. The observed gradient in the distribution density from coastal south to arid north, shows that vector abundance is greatest in areas with consistently high temperatures and in any case, small mean diurnal temperature range and consistent precipitation.…”

Section: Discussionmentioning

confidence: 99%

“…Also, Umar et al . [ 22 ] observed low population of female Anopheles mosquitoes during the dry seasons (January to June and October to December), while carrying out assessment of indoor resting density of female anopheline mosquitoes in human dwelling at malaria vector sentinel sites in Bauchi State, Nigeria. According to Umar et al .…”

Section: Introductionmentioning

confidence: 99%

“…According to Umar et al . [ 22 ], higher densities of anopheline mosquitoes during the rainy season to a large extent explains the seasonal pattern of clinical cases of malaria, with peak transmission shortly after maximum annual rainfall [ 19 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

“…While studies on MaxEnt modelling of the Anopheles species [ 28 – 30 ] predicted potential distribution on all spatial locations within geographic area of interest, without considering ecological zones. The identification of the species distribution based on entomological surveys [ 18 – 22 ] considered the species presence in different ecological zones with respect to absolute locations rather than all spatial locations of interest. In this study, we used MaxEnt for modelling environmental suitability and potential distribution of these dominant malaria mosquitoes in all spatial locations across topographic relief, ecological and regional zones in Nigeria.…”

Section: Introductionmentioning

confidence: 99%

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Dominant malaria vector species in Nigeria: Modelling potential distribution of Anopheles gambiae sensu lato and its siblings with MaxEnt

et al. 2018

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Malaria is a major infectious disease that still affects nearly half of the world’s population. Information on spatial distribution of malaria vector species is needed to improve malaria control efforts. In this study we used Maximum Entropy Model (MaxEnt) to estimate the potential distribution of Anopheles gambiae sensu lato and its siblings: Anopheles gambiae sensu stricto, and Anopheles arabiensis in Nigeria. Species occurrence data collected during the period 1900–2010 was used together with 19 bioclimatic, landuse and terrain variables. Results show that these species are currently widespread across all ecological zones. Temperature fluctuation from mean diurnal temperature range, extreme temperature and precipitation conditions, high humidity in dry season from precipitation during warm months, and land use and land cover dynamics have the greatest influence on the current seasonal distribution of the Anopheles species. MaxEnt performed statistically significantly better than random with AUC approximately 0.7 for estimation of the Anopheles species environmental suitability, distribution and variable importance. This model result can contribute to surveillance efforts and control strategies for malaria eradication.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dominant malaria vector species in Nigeria: Modelling potential distribution of Anopheles gambiae sensu lato and its siblings with MaxEnt

et al. 2018

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“…Torn nettings on windows and the absence of mosquito-treated nets allowed these vectors into the wards. The abundance of mosquitoes during the rainy season was also established by investigations in Bayelsa State and other ecological zones [24][25][26][27][28][29]. However, okorie et al observed a decline in mosquito abundance during the rainy season [23].…”

Section: Discussionmentioning

confidence: 99%

Mosquitoes at the University of Port Harcourt Teaching Hospital Nigeria: A Threat to Caregivers and Patients

Okparaibea¹,

Noutcha²,

Umeozor³

et al. 2019

Recent Advances in Biology and Medicine

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Anopheles gambiae sensu lato is the most important malaria vector in Nigeria. Referral hospitals have a mandate to provide patients with the best health care. The persistent complaints of the nuisance caused to patients, professionals, and visitors by mosquitoes at the University of Port Harcourt Teaching Hospital (UPTH), a referral Hospital, prompted the design of this study to assess the species composition, density, and man-biting rates of endophilic mosquitoes at the UPTH. A longitudinal entomological survey covered dry and wet seasons, February–July 2017, with sampling done thrice weekly, using the aspiration method. Caught mosquitoes were identified by standard keys using a dissecting microscope and classified according to their gonotrophic status. A total of 1,307 mosquitoes in two genera (Culex, Anopheles) and three species (Culex quinguefasciatus, Anopheles gambiae s.l. and Anopheles mouchetti) were caught, comprising 150 (11.5%) males and 1,157 females. The most abundant species was Culex quinguefasciatus (98.01%), An. gambiae s.l. (1.64%), and the least abundant, An. mouchetti (0.35%). Gonotrophic examinations of caught females revealed 52.8% blood-fed and 40.1% unfed. Culex quinquefasciatus had higher man-biting rates (1.26 bites/patient/night) than Anopheles (0.2 bites/patient/night). The Accident and Emergency ward, 595 (45.5%), and the Obstetrics and Gynecology ward, 328 (25.1%), had the highest records of caught mosquitoes among the four wards visited for collections. No significant difference (Fcal = 1.0722, Ftab = 13, p > 0.05, df = 2) existed between wet and dry seasons' collections. Because of the high numbers of blood-fed Anopheles, an urgent need for intervention is required to reduce the case of vector/human contacts; notably, larval source management will be a principal approach toward control.

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The distribution pattern and feeding behaviour of malaria vectors in two selected communities of Karu Local Government Area of Nasarawa State

Affiku¹,

Hassan²,

Olayemi³

et al. 2019

J. Public Health Dis.

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An entomological survey was conducted to determine the malaria vectors density and their distribution. The study was aimed at identifying the distribution and feeding behaviour of major malaria vectors. Mosquitoes were sampled using Pyrethroid Spray Collection (PSC) and CDC light trap methods to collect indoors and outdoors resting mosquitoes for a period of three months (April, May and June) and were identified morphologically. A total of 462(100%) mosquitoes were collected in the study areas, 238(51.5%) were collected in Gitata and 224(48.5%) were collected in Panda. Of the 462 (100%) mosquitoes collected, 433(93.7%) were Anopheline while 29(6.3%) were Culicine. Statistically, there was a statistical difference (p<0.05) in the distribution of malaria vectors encountered in the study areas. Out of the 433(100%) Anopheles mosquitoes collected, 279(64.4%) feed indoor while 154(35.6%) feed outdoor. The indoor resting density of the mosquitoes were also calculated, the result showed that Panda had the highest indoor resting density of 7.5 than Gitata 7.0. The human biting rate (HBR) of mosquitoes collected in each month at the study areas were also determine and the result showed a high biting rate of 2.515 in Panda compared to 2.321 in Gitata. The parity rate (PR) of the mosquitoes collected in Gitata and Panda for the three months were also analyzed, and the result showed that, out of the 433 Anopheles mosquitoes collected, 146(100%) were dissected, 85(58.2%) were parous and 61(41.8%) were nulliparous. This study therefore, will be used as a baseline data to help in designing strategies for the control of malaria vector diseases in Karu Local Government of Nasarawa State and its environs.

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Assessment of indoor resting density of female Anopheline mosquitoes in human dwelling at malaria vector sentinel sites in Bauchi State, Nigeria

Cited by 6 publications

References 15 publications

Dominant malaria vector species in Nigeria: Modelling potential distribution of Anopheles gambiae sensu lato and its siblings with MaxEnt

Dominant malaria vector species in Nigeria: Modelling potential distribution of Anopheles gambiae sensu lato and its siblings with MaxEnt

Mosquitoes at the University of Port Harcourt Teaching Hospital Nigeria: A Threat to Caregivers and Patients

The distribution pattern and feeding behaviour of malaria vectors in two selected communities of Karu Local Government Area of Nasarawa State

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