Geo-visualizing the hotspots of smog-induced health effects in district Gujranwala, Pakistan: a community perspective.

This study aims to examine the health effects of smog on different age groups in Gujranwala and its associated health effects. To achieve this, primary data was gathered through a questionnaire survey focused on health issues faced by elderly individuals during the smog season. The results of the survey revealed that older adults in Gujranwala are particularly vulnerable to a range of health problems during this period, including coughing, throat infections, irritated eyes, runny noses, shortness of breath, chest pain while breathing, wheezing, asthma, heart problems, and respiratory issues. In order to analyze the spatial distribution of these health concerns, spatial and geo-statistical methods were employed utilizing ArcGIS 10.5. By integrating field data and secondary sources, hotspot and cold spot zones were identified. Employing the statistical model within ArcMap 10.5, hotspot analysis was performed to determine areas with elevated air quality index (AQI) values and associated health problems. The application of the inverse distance weighted approach, incorporating the Z value, facilitated a visual representation of areas with heightened and reduced AQI and health-related issues. The study's outcomes underscore the prevalence of health challenges among older adults during the winter months in Gujranwala, particularly linked to smog-induced throat infections, irritated eyes, and runny noses. The research identified zones with escalated AQI values, encompassing regions such as Gujranwala, Chandaqella, Alam Chowk, Khali Shahpur, Sialkot Bypass, and Pindi Bypass. It was established that industrial pollutants and vehicular emissions are the primary contributors to smog in the area. Given the detrimental consequences of pollution on individuals of all age groups, it is imperative to take action to mitigate its impact. This can be achieved through addressing pollution sources, implementing effective emission control measures, and fostering public awareness. By adopting proactive measures, the adverse health effects of pollution can be minimized, thereby fostering a healthier and safer environment for the entire population. This study offers valuable insights for policymakers and environmentalists to implement targeted interventions and improve air quality, ultimately safeguarding the health of local populations.

Geo-spatial assessment of pluvial floods in city district Lahore, Pakistan.

This study is an effort of geo-spatial assessment of pluvial floods in District Lahore, Pakistan, caused by urban expansion and the growing frequency and intensity of high-intensity rainfall events. The use of geospatial techniques such as watershed modeling, maximum likelihood image classification, and weighted overlay analysis based on secondary data has enabled the researchers to assess the extent and severity of pluvial floods in the study area. The study's findings highlight the high risk of pluvial floods in the central part of the study area, which is dominated by built-up land and concrete roads. The increase in the area of built-up land from 34.913 km2 in 2018 to 37.442 km2 in 2022 has further intensified the risk of pluvial floods. The findings of this study can assist policymakers in developing effective strategies to reduce the risks associated with pluvial floods. Alongside, it also highlights the importance of geospatial techniques to better understand and address the complex challenges of urbanization and climate change. Flood risk zone-specific strategies are recommended to reduce the risk of pluvial floods.

Temporal and spatial analysis of COVID-19 incidence hotspots in Pakistan: A spatio-statistical approach.

This research paper analyzes the spread of COVID-19 in Pakistan using geo-statistical approach to geo-visualize the spatio-temporal pattern hotspots of active cases. The study is based on secondary data, collected from concerned Government Department. Getis-Ord-Gi* statistical model was used to estimate Z score and P score values representing the intensity of active cases in each location. The results indicate that the high intensity of active cases in the selected period is spatially distributed in Punjab and Sindh provinces and extending towards the west. The capital territory also experiences a slight increase in active cases rate. However, the rate of active cases decreases in Khyber Pakhtunkhwa (KP), Balochistan, Gilgit Baltistan (GB) and Azad Jammu and Kashmir with some fluctuations. Overall, this research highlights the usefulness of geo-statistical modeling for identifying hotspots of any epidemic or pandemic. By knowing the hotspots of a disease, policy makers can easily identify the reasons for its spread, trends, and distribution patterns, making it easier to develop management policies to tackle any pandemic situation in the future.

Delays in seeking treatment for fever in children under five years of age in Nigeria: Evidence from the National Demographic Health Survey.

BACKGROUND: In countries with high child mortality rates, such as Nigeria, early intervention for common childhood illnesses (e.g., pneumonia and malaria) is essential for improving clinical outcomes. The timely reporting and treatment of fever is therefore critical in making a differential diagnosis and choosing an appropriate course of treatment. The present study aimed to investigate the prevalence and major risk factors associated with delays in seeking treatment for fever in children under five years of age in Nigeria. METHODS: This study used a total weighted sample of 7,466 children under five years of age from the 2018 National Nigerian Demographic and Health Survey. Multivariable binary logistic regression modelling was used to investigate the association between predisposing, enabling, need, health service and community level factors, and delay in treatment-seeking for fever. RESULTS: We report the delays in seeking treatment for childhood fever that was reported by mothers in the last two weeks prior to the national survey. The prevalence for delayed treatment was 62.1% (95% confidence interval [CI]: 60.1%, 64.1%). Our findings showed that there were fewer delays in seeking treatment in children aged 24-59 months (adjusted odds ratio [aOR] = 0.79, 95% CI: 0.68, 0.93), among mothers who were formally employed (aOR = 0.84; 95% CI: 0.73, 0.96), regularly attended antenatal services (aOR = 0.76, 95%CI: 0.66, 0.88), and for those who resided in wealthier households (aOR = 0.71; 95% CI: 0.56, 0.89). Children whose mothers resided in the North-West geopolitical zone of Nigeria were less likely to delay seeking treatment for fever (aOR = 0.55; 95% CI: 0.42, 0.73). However, mothers who had an unwanted pregnancy had a higher odds of delaying treatment for childhood fever (aOR = 1.58; 95% CI: 1.05, 2.39). CONCLUSION: There were significant delays in seeking treatment for childhood fever in poorer homes found in geopolitically unstable zones of Nigeria. Mothers who were poor, unemployed, and with younger children (<12 months) often delayed seeking treatment for their febrile child. Future health promotion strategies and microenterprise schemes should target both rural and urban mothers residing in poor households. Children under 12 months of age should be a priority.

Evaluation of operational and financial viability models of combined landfill site for intermediate cities in Pakistan.

This study aims to evaluate municipal landfill sites' operational and financial viability, waste amount and characterization, primary and secondary collection systems, revenue generation from MSW, vehicle routing, and age of landfill sites located in Akhtarabad, Sahiwal Division. Three operational and financial models were developed to calculate cost/ton value based on obtained data. The obtained results indicate that the cost/ton values for models are the following: 20.01 USD for Model-1, 8.96 USD Model-2, and Model-3 is about 10.23 USD. The waste characterization represented waste consisting of compostable (57%), recyclable (10%), Refuse Derived Fuel (RDF) (12%), earth fill (20%), and disposable material (1%). Revenue/ton of municipal solid waste was about 19.47 USD, and according to cost-benefit analysis, the cost of Model-1 was higher than the benefit. In contrast, the costs of Model-2 and Model-3 were found to be lower than the revenue/ton. However, the waste collection efficiency of Model-1 was greater than both remaining models. The study concluded that utilizing all generated waste, only 21% of waste is dumped at the landfill site. It will reduce the area required for landfill sites from 431437 to 90602 m2 for the next 10 years and increase the age of landfill sites by over 20 years. It is recommended that the reuse of municipal solid waste and implementation of the no waste to landfill model would surely save money, land, and fuel, and it will also increase the age of landfill sites.

Theory of coupled resistive drift and resistive drift ballooning instabilities in fusion plasma.

Drift wave instabilities (DWI) associated with the two-fluid dynamics seems to be responsible for anomalous transport in modern day tokamaks. Ballooning instabilities tend to exchange flux tubes of different pressure, resulting in convective transport. The micro-level turbulence (drift wave) is coupled with the macro-level (ballooning mode) dynamics in fusion experiments. The co-existence of DWI and drift ballooning instabilities (DBI) is discussed in this work using a four-field plasma model. The formulation preserves both the microscopic and macroscopic dynamics of plasma. To demonstrate the coupling, a new dispersion relation is derived to analyze stability of the coupled modes in a non-uniform magnetized plasma. Linear stability of coupled drift-ballooning and drift-acoustic modes have been explored. The two-fluid effect (micro-level influence) through diamagnetic drift frequency for electrons and curvature drift frequency on unstable modes are demonstrated.

Spatial appraisal of flood risk assessment and evaluation using integrated hydro-probabilistic approach in Panjkora River Basin, Pakistan.

Globally, flood is one of the devastating hydrometeorological disasters, causing human losses and damages to properties and infrastructure. There is a need to determine and geo-visualize flood risk to assist decision-making process for flood risk reduction. The current study is a local level pioneering attempt regarding the spatial appraisal of flood risk assessment and evaluation in Panjkora River Basin, eastern Hindu Kush. An integrated hydro-probabilistic approach is implemented by clubbing the results of Hydrologic Engineering Centre's River Analysis System (HEC-RAS) and Hydrologic Engineering Centre's Geographic River Analysis System (HEC-Geo-RAS) in geographic information system (GIS) environment. An Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) is used as input data to delineate the target basin and generation of river geometry. Hydraulic and hydrological data were used to estimate and geo-visualize vertical profile and spatial extent of various floods in the active floodplain of Panjkora River. Gumbel's frequency distribution model is applied in analyzing daily peak discharge recorded during the past 32 years, and 200-year flood magnitude (1392m3/sec), probable inundation (45.5 km2), and vertical profile (19 m) are modeled. Analysis revealed that likelihood of such flood has increased the risk of potential damages to roads (46 km), retaining walls (49 km), bridges (16), and culverts (46). The analysis further revealed that built-up area (10.4 km2) and agricultural land (20.2 km2) will also come under flood with life loss. The resultant flood risk zones and spatial appraisal will definitely help in bringing down the probable flood damages. Similarly, current study has potential to assist disaster managers, hydraulic engineers, and policy makers to understand the flood risk and implement location-specific effective flood risk reduction strategies.

Spatiotemporal analysis of dengue outbreaks in Samanabad town, Lahore metropolitan area, using geospatial techniques.

Dengue is endemic to Pakistan with its usual peak incidence in the post-monsoon period. In the last decade, dengue outbreaks have occurred in major urban areas particularly Karachi and Lahore, affecting large numbers of people. This study is an attempt to analyze the spatiotemporal variation of dengue fever (DF) in Samanabad town, Lahore metropolitan area. The study is based on secondary data, acquired from concerned government departments. Point level geo-coding is used to transform the relative location to the absolute location using Google Earth, and Global Position System (GPS) is used to validate the geo-coded location. Geographic information system (GIS) has been used to perform spatial analysis. It has been found that temporally DF prevalence varies from month to month and year to year. Major outbreak was observed in the year 2013 with more than 900 confirmed DF cases. Rainfall, temperature, and humidity have played a central role in outbreaks. The land cover pattern and population density further intensified the outbreak. Spatially, the number of DF incidence was high in those localities where the entire land is built-up and with little/no green space areas. Analysis reveals that DF is still a major threat to the area as socioeconomic and geographic conditions favor vector breeding and transfer of disease from one person/place to another. This study presents useful information regarding spatiotemporal patterns of dengue outbreak and may bring the attention of public health departments to formulate dengue-combating strategies. The methodology is general for spatiotemporal analysis and can be applied to other infectious diseases as well.

Molecular epidemiology of bovine anaplasmosis in Khyber Pakhtunkhwa, Pakistan.

Bovine anaplasmosis is endemic in Pakistan where it reduces livestock productivity and leads to high mortality, especially in young animals. This study was aimed to identify the potential risk factors responsible for the occurrence and spread of anaplasmosis in cattle and buffaloes for the first time in Pakistan. A total of 900 (cattle = 479, buffalo = 421) blood samples were collected irrespective of age and sex from three distinct zones of Khyber Pakhtunkhhwa (KP) province of Pakistan. Polymerase chain reaction (PCR) technique was used for the molecular detection of anaplasmosis. Data collected on a piloted questionnaire including 11 predicting variables which were analyzed using R-statistical software, and association between the dependent and independent variables was assessed using univariable analysis. Automated and manual approaches were exercised, producing comparable models. Key risk factors identified in all the approaches included species of the animal, breed of animal, sex of animal, tick infestation status, previous tick history, tick control status, and acaricides used (odds ratio > 1). The 611 bp DNA fragment specific for 16S rRNA gene of Anaplasma spp. was produced from 165 samples. The samples were confirmed for anaplasmosis through sequencing and BLAST queries. The findings of the current study conclude that by enhancing the protective measures to control the identified risk factors can reduce the spread of anaplasmosis in Pakistan.

Analysis and forecasting of municipal solid waste in Nankana City using geo-spatial techniques.

The objective of this study was to analyze and forecast municipal solid waste (MSW) in Nankana City (NC), District Nankana, Province of Punjab, Pakistan. The study is based on primary data acquired through a questionnaire, Global Positioning System (GPS), and direct waste sampling and analysis. Inverse distance weighting (IDW) technique was applied to geo-visualize the spatial trend of MSW generation. Analysis revealed that the total MSW generated was 12,419,636 kg/annum (12,419.64 t) or 34,026.4 kg/day (34.03 t), or 0.46 kg/capita/day (kg/cap/day). The average wastes generated per day by studied households, clinics, hospitals, and hotels were 3, 7.5, 20, and 15 kg, respectively. The residential sector was the top producer with 95.5% (32,511 kg/day) followed by commercial sector 1.9% (665 kg/day). On average, high-income and low-income households were generating waste of 4.2 kg/household/day (kg/hh/day) and 1.7 kg/hh/day, respectively. Similarly, large-size families were generating more (4.4 kg/hh/day) waste than small-size families (1.8 kg/hh/day). The physical constituents of MSW generated in the study area with a population of about 70,000 included paper (7%); compostable matter (61%); plastics (9%); fine earth, ashes, ceramics, and stones (20.4%); and others (2.6%).The spatial trend of MSW generation varies; city center has a high rate of generation and towards periphery generation lowers. Based on the current population growth and MSW generation rate, NC is expected to generate 2.8 times more waste by the year 2050.This is imperative to develop a proper solid waste management plan to reduce the risk of environmental degradation and protect human health. This study provides insights into MSW generation rate, physical composition, and forecasting which are vital in its management strategies.

Strategies for capacity building for health research in Bangladesh: Role of core funding and a common monitoring and evaluation framework.

BACKGROUND: There is increasing interest in building the capacity of researchers in low and middle income countries (LMIC) to address their national priority health and health policy problems. However, the number and variety of partnerships and funding arrangements can create management problems for LMIC research institutes. This paper aims to identify problems faced by a health research institute in Bangladesh, describe two strategies developed to address these problems, and identify the results after three years of implementation. METHODS: This paper uses a mixture of quantitative and qualitative data collected during independent annual reviews of the International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B) between 2006 and 2010. Quantitative data includes the number of research activities according to strategic priority areas, revenues collected and expenditure. Qualitative data includes interviews of researchers and management of ICDDR,B, and of research users and key donors. Data in a Monitoring and Evaluation Framework (MEF) were assessed against agreed indicators. RESULTS: The key problems faced by ICDDR,B in 2006 were insufficient core funds to build research capacity and supporting infrastructure, and an inability to direct research funds towards the identified research priorities in its strategic plan. Two strategies were developed to address these problems: a group of donors agreed to provide unearmarked pooled core funding, and accept a single common report based on an agreed MEF. On review after three years, there had been significant increases in total revenue, and the ability to allocate greater amounts of money on capacity building and infrastructure. The MEF demonstrated progress against strategic objectives, and better alignment of research against strategic priorities. There had also been changes in the sense of ownership and collaboration between ICDDR,B's management and its core donors. CONCLUSIONS: The changes made to funding relationships supported and monitored by an effective MEF enabled the organisation to better align funding with research priorities and to invest in capacity building. This paper identified key issues for capacity building for health research in low and middle income countries. The findings have relevance to other research institutes in similar contexts to advocate and support research capacity strengthening efforts.

HIV/AIDS in Bangladesh: the role of government in health and human services administration.

Explore the susceptibility of the People of Bangladesh to HIV/AIDS. The prevalence of HIV/AIDS in the neighboring countries may have reasonable proportions of impact in our country. According to the data provided by a Bangladesh University, the number of detected People living with HIV/AIDS reached 567 as of Dec 2005. Importance of appropriate education on safe sex, violence, HIV/AIDS at all levels of our society, including counseling and advocacy, is emphasized and recommends governmental policy and research for prevention of HIV/AIDS.

Defining and implementing arsenic policies in Bangladesh: possible roles for public and private sector actors.

A UN report warned up to 50% of Bangladesh's population (57 million) are at risk of arsenic poisoning from naturally occurring arsenic in well water. This article explores how this problem occurred, assesses what factors impede progress eliminating this problem and recommends governmental measures for prevention of arsenic poisoning.