Spatio-Temporal Extension and Spatial Analyses of Dengue from Rawalpindi, Islamabad and Swat during 2010–2014

Fareed, Nadeem; Ghaffar, Abdul; Malik, Tahir S.

doi:10.3390/cli4020023

Cited by 14 publications

(11 citation statements)

References 28 publications

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“…Furthermore, plants and vegetation sites serve as a natural habitat and food source for Aedes mosquitoes as they feed on the nectar of the plants (69)(70). In consideration of their optimum flight range of approximately 200 meters, the growth of Aedes mosquito population will be uncontrollable if any breeding site is present near the human community, especially in the urban areas (43). These urban area having a highly dense population will subsequently result in an exploding mosquito population as the food source (human blood) is easily accessible (71).…”

Section: Discussionmentioning

confidence: 99%

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Dengue risk map using GIS based on socio-environmental and climatic variables in residential area

Adnan¹,

Ramli²,

Othman³

et al. 2020

Preprint

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BackgroundDengue, a major international health problem, is transmitted by aedes mosquitoes. Due to the lack of a vaccine, vector control by tackling the contribution factors may reduce dengue incidence. By understanding the factors contributed to the vector densities such as sociological, environmental and climatic factors, dengue prevention and control will succeed. ObjectiveThis study is aimed at determining the major sociological, environmental and climatic factors contributing to dengue cases and to produce the risk map based on the contributing factors MethodsQuestionnaire survey of 379 respondent with dengue history were utilized. The climatic data were obtained from Malaysia Meteorological Department. Geographical Information System (GIS) technology has been used to integrate the socio-environmental and climatic factors with dengue cases ResultThe chi-square results revealed that there is a significant association between respondent's dengue history and houses that are shaded with vegetation (p= 0.012) and the present of playground areas near the residential (p = 0.011) whilst Pearson's Correlation showed that dengue cases in Kuala Lumpur were significantly correlated with temperature, relative humidity and rainfall (p < 0.05) ConclusionThe study identified socio-environmental factors that play an important role to develop the risk maps.The risk map can be useful baseline for decision maker to strategize and create preventive measure for controlling aedes mosquitoes. dengue vectors, Aedes aegypti and Aedes albopictus, are responsible for dengue transmission (2-3).

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Section: Discussionmentioning

confidence: 99%

“…The "weightage" of the parameters were given based on the literature review (36,43). The risk levels was given according from high risk to low risk respectively.…”

Section: Weighted Of Socio-environmental and Climaticmentioning

confidence: 99%

Dengue risk map using GIS based on socio-environmental and climatic variables in residential area

Adnan¹,

Ramli²,

Othman³

et al. 2020

Preprint

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“…Some climate changing effects on health: increasing morbidity, mortality, malaria, dengue fever, cholera, respiratory issues and other infectious diseases are the result of droughts, heat waves, rains, storms and floods. Similarly, Pakistan also faces heat waves fluctuation during summer (April to September) and extreme rainfall pattern which have sever effect on overall health of individuals (Fareed et al, 2016). And the effect of these climatic conditions is felt by women more acutely.…”

Section: Discussion and Concluding Remarksmentioning

confidence: 99%

Changing Climate Patterns and Women Health: An Empirical Analysis of District Rawalpindi, Pakistan

Ajaz

Majeed

2018

GSSR

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Climate change, the greatest environmental challenge of current era, affects human health badly. Natural hazards such as storms, droughts, excessive rains, floods, droughts and increasing temperature always threaten human health. South Asian rural women bear more household responsibilities than men in terms of fetching water and burning biomass fuel for cooking and heating. To obtain these resources women have to go out and are more exposed to outdoor environment and the increased exposure make them more amenable to the effects of changing climatic and weather patterns. The objective of this study is to document women health impacts under climate change in District Rawalpindi, Pakistan. We find that climate change increases the incidence of diseases which affect physical health. In developing countries, extreme weather patterns disproportionally affect vulnerable population like women, children and others bear burden of illness. Pakistan also faces heat waves fluctuation during summer and extreme rainfall pattern which have severe effect on overall health of individuals. We conclude that climatic changes (increasing heat intensity, dry spells, unusual rains and others) affect women health badly. The state has to improve our climate by offering effective policies. This may include reforestation, plantation in and outside homes and environmental friendly policies like renewable energy that is a shift from coal and oil investing energy projects. Increase of green areas within urban localities is also needed.

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“…There are more than 100 million new cases of dengue fever every year throughout the world [11]. According to the World Health Organization (WHO) statistics, about 100 tropical and subtropical countries are at risk due to the dengue virus [5,15,34]. The same report states that dengue hemorrhagic fever (DHF) is the primary cause of childhood mortality in several Asian countries [8,27].…”

Section: Introductionmentioning

confidence: 99%

“…In our study, geospatial tools were utilized to evaluate the influence of various weather and demographic parameters on dengue incidences. Geospatial techniques, including remote sensing (RS) and geographical information system (GIS), are extensively utilized to analyze spatial and temporal data in monitoring and mapping epidemics and risk-prone areas [15,21,32].…”

Section: Introductionmentioning

confidence: 99%

Geostatistical modeling of dengue disease in Lahore, Pakistan

Bilal

Zaidi

2019

SN Appl. Sci.

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Dengue outbreak has become a significant mosquito-borne disease in Pakistan with the worst outbreak in the Lahore district in 2011. This situation has emerged as a serious concern for disaster management authorities, and managing risks of dengue outbreaks has become their top priority. This study investigated the relationship of the reported dengue cases in the Lahore district in 2011 with the spatial and temporal changes in climatic and environmental factors. The quantitative co-relational research method was employed to ascertain the association between dengue incidences and weather parameters, land use/cover, and demographic characteristics of the study area. Ordinary least-square and geographically weighted regression analyses were conducted to identify the influence of study variables on the dengue outbreak. Satellite and ground data were used to derive study parameters. A geostatistical dengue risk model was developed to identify the risk-prone areas in Lahore. The geographically weighted multivariate regression model indicated a statistically significant relationship between dengue cases and the built-up area and population density. These two explanatory variables explained 77.4% variance in dengue incidences. This study supported the association between the demographic parameters and distribution pattern of dengue outbreaks in the Lahore district. The dengue risk model identified the vulnerable areas that need particular attention to mitigate future outbreaks.

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Spatio-Temporal Extension and Spatial Analyses of Dengue from Rawalpindi, Islamabad and Swat during 2010–2014

Cited by 14 publications

References 28 publications

Dengue risk map using GIS based on socio-environmental and climatic variables in residential area

Dengue risk map using GIS based on socio-environmental and climatic variables in residential area

Changing Climate Patterns and Women Health: An Empirical Analysis of District Rawalpindi, Pakistan

Geostatistical modeling of dengue disease in Lahore, Pakistan

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