Regression Model for Predicting Adult Female Aedes aegypti Based on Meteorological Variables: A Case Study of Jeddah, Saudi Arabia

Khormi, Hassan M.; Kumar, Lalit; Elzahrany, Ramze A.

doi:10.4172/2157-7617.1000168

Cited by 5 publications

(10 citation statements)

References 18 publications

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“…These cases correspond with the seasonal periods for the outbreak of infection cases, during the second quarter of May-July. This witnessed a low population density of the dengue mosquito vectors outdoors, due to high temperatures, as shown from the study, with negative correlations between population density and the prevailing degree of temperature, reported previously by Khormi et al, 2013. Finally, our study found a negative correlation with temperature and a negative correlation with the relative humidity.…”

Section: Resultssupporting

confidence: 86%

Variation in the Temporal and Place Effects on the Dengue Fever Mosquito Vector Aedes aegypti (L.) in Jeddah Province

Mahyoub¹

2015

Biosci., Biotechnol. Res. Asia

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Black-Hole light traps were operated during January 2013 until June 2014, in an attempt to pin point the variations based on place and time of the Dengue Fever Mosquito Vector (DFMV) population density. This was carried out in order to determine the relationship between its density and the prevailing conditions of temperature and relative humidity, as related to the actual positive cases of dengue fever infection. The study showed a continued presence of the mosquito vector throughout the year, with significant differences in the population density and the time of the vector recovery. The results also showed a negative correlation between population density and temperature, whereas a positive correlation with the relative humidity. Our results showed two seasonal prominent activity peaks during February and November, during the year 2013 with a projected indication that a high peak might occur in 2014.The population density showed variation, according to the locations where Um-Alsalm locality indicated significant recovery of dengue fever vectors. Khozam locality displayed the least recovery throughout the year. The highest dengue fever (DF) infection was recorded in Aziziyah, Old Airport and the University localities, followed by Khozam and Al-Balad localities. However, other localities are currently under investigation proved to have no reported cases of dengue fever (DF) infection throughout the year.

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Section: Resultssupporting

confidence: 86%

Variation in the Temporal and Place Effects on the Dengue Fever Mosquito Vector Aedes aegypti (L.) in Jeddah Province

Mahyoub¹

2015

Biosci., Biotechnol. Res. Asia

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“…Relationship between the climatic factors and malaria was studied in Ghana [ 17 ], Ethiopia [ 18 , 19 ], Zimbabwe [ 20 ], Tanzania [ 21 , 22 ], Sri Lanka [ 23 ], China [ 24 , 25 ], Uganda [ 26 ], Kenya [ 27 ], Sudan [ 28 ], Rwanda [ 29 ], Madagascar [ 30 ], Tibet [ 31 ], Ghana [ 32 ] whereas limited studies are carried out in malarial endemic areas Dehradun of Uttaranchal, [ 33 ], Sonitpur [ 34 ] and Kokrajhar of Assam [ 35 ] in India. Relationship between the climatic factors, mosquito population was studied in Bangladesh [ 36 ], California [ 37 ], Tanzania [ 38 ], Ghana [ 32 ], Saudi Arabia [ 39 ], West Africa and Europe [ 40 ], Nigeria [ 41 ] Italy [ 42 ] and around the world [ 43 ], whereas limited studies are carried out in malarial endemic areas Dehradun [ 33 ] and Varanasi [ 44 ] of India. Though the relationship between climatic factors, malaria disease and mosquito population was well studied in different countries and India, there were meagre or no reports on similar kind of studies in the district of Visakhapatnam.…”

Section: Introductionmentioning

confidence: 99%

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis

Srimath-Tirumula-Peddinti

Neelapu

Naresh

2015

PLoS ONE

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BackgroundMalarial incidence, severity, dynamics and distribution of malaria are strongly determined by climatic factors, i.e., temperature, precipitation, and relative humidity. The objectives of the current study were to analyse and model the relationships among climate, vector and malaria disease in district of Visakhapatnam, India to understand malaria transmission mechanism (MTM).MethodologyEpidemiological, vector and climate data were analysed for the years 2005 to 2011 in Visakhapatnam to understand the magnitude, trends and seasonal patterns of the malarial disease. Statistical software MINITAB ver. 14 was used for performing correlation, linear and multiple regression analysis.Results/FindingsPerennial malaria disease incidence and mosquito population was observed in the district of Visakhapatnam with peaks in seasons. All the climatic variables have a significant influence on disease incidence as well as on mosquito populations. Correlation coefficient analysis, seasonal index and seasonal analysis demonstrated significant relationships among climatic factors, mosquito population and malaria disease incidence in the district of Visakhapatnam, India. Multiple regression and ARIMA (I) models are best suited models for modeling and prediction of disease incidences and mosquito population. Predicted values of average temperature, mosquito population and malarial cases increased along with the year. Developed MTM algorithm observed a major MTM cycle following the June to August rains and occurring between June to September and minor MTM cycles following March to April rains and occurring between March to April in the district of Visakhapatnam. Fluctuations in climatic factors favored an increase in mosquito populations and thereby increasing the number of malarial cases. Rainfall, temperatures (20°C to 33°C) and humidity (66% to 81%) maintained a warmer, wetter climate for mosquito growth, parasite development and malaria transmission.Conclusions/SignificanceChanges in climatic factors influence malaria directly by modifying the behaviour and geographical distribution of vectors and by changing the length of the life cycle of the parasite.

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“…Green and Miles [2] stated that the genus Lutzia which is divided into 3 subgenera having 8 species is also found on a global scale. In addition, Culex perixiguus species was found to be distributed in Swat, Pakistan [46]. Ashfaq et al [47] found the existence of sibling species of Anopheles annularis such as A. annularis A and A. annularis B in Punjab as well as Khyber Pakhtunkhwa (KPK) area of Pakistan.…”

Section: Biodiversitymentioning

confidence: 99%

“…It leads to 120 million deaths in the globe [29]. As well, it is responsible for St. Louis encephalitis [82], WNV [83], Avion malaria [84], protozoan parasites [85], skin allergies [29], and dengue virus [46]. In addition, it is a vital carrier of bancroftial filariasis [86] as well as JE [86] in India and acts as a transporter of L3 parasite [87][88][89].…”

Section: Mosquito Borne Diseasesmentioning

confidence: 99%

“…It is because, according to Cook et al [27], it is considered as a subgenus belonging to the genus Aedes. More to the point, in the case of some species, enough reference sequences are not found in the NCBI sequence database [46,64] and not all specimens are identified up to the species level and some may be identified up to only family or genera level depending on availability of required reference sequence in DNA databases. Similarly, Kumar et al [128], Cywinska et al [3], and Laurito et al [36] stated that DNA barcode-based analysis is not having a value in all investigated cases owing to the unavailability of reference sequence databases in not only NCBI but also BOLD systems [46,64] and all voucher specimens.…”

Section: Phylogenetic Analysismentioning

confidence: 99%

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DNA-based identification and control of disease spreading mosquito species: A review

Dhakane¹,

Kiran²,

Shinde³

et al. 2021

J App Biol Biotech

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Harms caused by parasites such as mosquitoes are one of the severe health problems of people, particularly in those areas where unhygienic environmental conditions exist. The diseases caused by these insects lead to many severe diseases and even deaths affecting public health along with social economy and welfare. Consequently, the development of the successful implementation of identification and controlling strategies of these parasite species is one of the challenges of health departments of many nations in the globe. However, effective eradication of disease-causing mosquito specimens, especially immature or damaged individuals, is possible by molecular identification. As a result, cytochrome oxydase c subunit I (COI) gene-based method can play a role in identifying and assigning taxa to mosquito species and has worldwide importance. In sequence, in this review, we assessed the occurrence, spread of diseases, and COI gene-based identification status of mosquito species (Anopheles annularis, Armigeres subalbatus, Mansonia annulifera, Mansonia uniformis, Aedes aegypti, Aedes albopictus, Culex tritaeniorhynchus, Culex quinquefasciatus, Anopheles culicifacies, Anopheles subpictus, Culex gelidus, Ochlerotatus sp., and Anopheles fluviatilis T) as well as their control measures along with role of DNA barcoding on global scale.

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Regression Model for Predicting Adult Female Aedes aegypti Based on Meteorological Variables: A Case Study of Jeddah, Saudi Arabia

Cited by 5 publications

References 18 publications

Variation in the Temporal and Place Effects on the Dengue Fever Mosquito Vector Aedes aegypti (L.) in Jeddah Province

Variation in the Temporal and Place Effects on the Dengue Fever Mosquito Vector Aedes aegypti (L.) in Jeddah Province

Association of Climatic Variability, Vector Population and Malarial Disease in District of Visakhapatnam, India: A Modeling and Prediction Analysis

DNA-based identification and control of disease spreading mosquito species: A review

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