Nowadays food borne illness is most common in people due to their epidemic nature. These diseases affect the human digestive system through bacteria, viruses and parasites. The agents of illness are transmitted in our body through various types of food items, water and uncooked. Pathogens show drastic changes in immunosuppressant people. This review gives general insights to harmful microbial life. Pakistan is a developed country and because of its improper food management, a lot of gastrointestinal problems are noted in many patients. Bacteria are most common agents to spread diarrhoea, villi infection, constipation and dysenteric disease in human and induce the rejection of organ transplant. Enhancement of their lifestyle, properly cooked food should be used and to overcome the outbreak of the diseases.

This study depicts an inclusive estimation of climate variation and its effects on agriculture sector in theselected South Asian countries (India, Bangladesh, Pakistan, Nepal, Bhutan and Sri-Lanka) over the period of 1990-2014. Agriculture sector plays vigorous role in the economy of selected South Asian states because more than 60%people work in this sector. The rapid growth of industrialization and weather variation causes the raise of thetemperature level by which reduce production of agriculture crops and the people face heavy losses. Therefore, mainobjective of this study is to detect the influence of the global weather variation in agriculture sector of selected SouthAsian countries. Agriculture sector is used as dependent variable. CO2 emission, gross capital formation, labor forceand temperature are used as explanatory variables. Auto regressive distributed lag model is employed to examine theinfluence of climate variation on the agricultural sector. For analysis panel data were collected from selected SouthAsian countries. The existence of the short and long term relationship between dependent and independent variables isalso assessed by this model. Thus, findings show the climate variation has significant effect on the agricultural sector.In a policy recommendation, government should use sector-wise policies and friendly environmental policies whichminimize the negative effect of climate change.

Urban centers are expanding rapidly due to quickly-increasing population which results in microclimate change due to lack of urban planning. Factors like degradation of green areas, trees, and vegetation are defining a new regime of urban environment giving rise to a lack of drinking water and lowering water tables. Consequently, unplanned urban sprawl with all its varied facets is having adverse impacts on the environment. Rapid variations in some of its climatic factors in the immediate vicinity are alarming and need to redress at war footings. This paper is an endeavor to present a hypothesis that urban sprawl plays a vital role in impacting and the influencing the microclimate of the city or the area. In this research, geospatial approaches were adopted to identify urban sprawl. Rise in land surface temperature (LST) for the last 25 years (from 1990 to 2016) has been highlighted using Landsat (5 TM, 7 ETM+ and 8 TIRS) satellite images. Weather data collected from Meteorological Department is used to identify temperature rising trends. Result of the research clearly indicates that rapid urban sprawl has adverse impacts on microclimate by increasing LST. Built-up area has been changed from 178 to 477 sq. km within the years of 1990 to 2016. Vegetated area has decreased from 770 to 602 sq. km. Water areas have been decreased from 524 to 360 sq. km within the span of last 26 years. The bare land has increased from 494 sq. km to 742 sq. km. LST in winters has risen from 17 °C to 23 °C and at times shot up to 31 °C, which is alarming. Annual mean air temperature increased by 3 °C to 4 °C from the 1980s to 2016. During summers, the average air temperature rose to a startling 33 °C from 28 °C and LST has had a steady rise from 28.4 °C to 35 °C. The alarming urban sprawl in relation to temperature rise warrants measures which are required to plan the urban planning, forestation, and ecological measures to mitigate the disastrous trends which may result in flash floods, landslides, soil erosion and sediment transport endangering downstream reservoirs, water quality and depletion in ground water table in the valley.

The present study focuses on the climate conditions of Gilgit Baltistan. It includes the distribution ofdifferent weather elements like precipitation, temperature, number of rainy days, humidity, wind speed, air pressure,evapotranspiration, sunshine, factors affecting climate, and climate classification. Due to glaciation, the area is badlyeroded and consists of deep valleys and moraines. There is a marked variability between the climates of the eastern andwestern observatories of the area. Mostly, terrace agriculture is practiced in the area with deciduous and alpine forests.Based on temperature, the area has been divided into three distinct climate regions, namely, mild, cool, and cold.Whereas, based on precipitation, it classified into arid, semi-arid and undifferentiated highlands. Chilas is the hottestarea of the province, while Astor and Skardu are the coldest. The study area receives heavy precipitation from localthunderstorms, particularly during April and May. There are four rainy seasons, namely winter, pre-monsoon,monsoon, and post monsoon precipitation. The highest precipitation in the area is observed at Astore, while the lowestat Gupis. The relative humidity is below 55% throughout the year and causes chill with low temperature and crackingin human skins. Based on the variability of weather elements, the province has been divided into three macro, threemeso and six micro climate regions.

The central objective of this paper is to find the validity of cost-push and monetary factors on GDP deflator through empirical analysis. The empirical analysis has been conducted by using the technique of Ordinary Least Square using annual data for the period from 1971-72 to 2006-07. Before applying OLS the stationarity of the data was checked by Augmented Dickey Fuller (ADF) test. Regression analysis proves that both cost-push and monetary factors are influenced on wholesale price index. The monetary variables have significant impact on GDP deflator.. There is no single remedy to control the raise of wholesale price index. Government should adopt multipurpose strategy such as improvement in tax and revenue structure, improving fiscal and monetary discipline, removing supply side disruptions, eradication of anti-competitive market practice