Frequency of different symptoms in patients with COVID-19

Background: COVID-19 is a wide spreading disease starts from Wuhan a city of China in east. Earlier symptoms include fever, cough and fatigue later on patients may present with loss of smell and taste, sore throat, nasal congestion and muscle or joint pain. Its long term effects may include respiratory distress and neurological symptoms. Aim: To determine the frequency of different symptoms in patients with COVID-19 presenting at outpatients department of Nishtar Hospital Multan. Methodology: This cross sectional study was conducted at department of medicine, Nishtar Medical University, Multan, from September 2020 to September 2021. This study was carried out on 200 patients presenting with symptoms of COVID-19 and diagnosis was confirmed after admission. Main variables of study were symptoms of COVID-19 like cough, fever, running nose, breathlessness, headache and palpitations. SPSS version 22 was used for data analysis. Results: Majority of the patients were (60.0%) between age group 46-60 years. The most common symptoms were fever and cough, (79.0%) and (65.0%), respectively. The symptoms recorded between both male and female were almost equal, (standardized residuals<1.96 and p>0.05). But, fever and running nose were most common among the females, (p=0.028) and (p=0.050), respectively. Conclusion: COVID-19 presents with variety of symptoms and fever and cough were most common among these symptoms. COVID-19 positive patients can be present asymptomatically. All persons who come into contact with COVID19 patients should be go through the PCR lab test. Keywords: Novel COVID 19, Acute Respiratory Distress Syndrome, Contagious, Pandemic

Syrian Refugee Crisis in Turkey: Is Migration from Syria Bad for Turkey’s demographic and economic structure?

The main objective of this paper is to understand whether international migration is detrimental for the host country or not by using the example of Turkey. This paper primarily claims that refugees are beneficial for the host country Turkey as they stimulate the economy while integrating into the society they live in and taking the jobs that native people aren't enthusiastic about doing. As a result, they are easing the burden on the insurance system. From a demographical and a sociological perspective, they are increasing the rate of population in territories of Turkey where the fertility rate has declined. However, some economists and sociologists argue those claims with some counterarguments, which this paper is refuting. They claim that refugees have a terrible influence on Turkey’s economy and the country's wellbeing by overburdening schools and healthcare facilities, boosting the crime rates, spreading disease, and heating the wage competition.

Immunization and vaccination

This chapter describes the history of vaccination, challenges to immunization programmes, the public health benefits of vaccination programmes, and the notable successes in terms of elimination. The broader social and economic effects of vaccination are discussed. For example, healthcare workers have increased risk for acquisition of vaccine-preventable diseases. It is important that healthcare workers can maintain delivery of healthcare services during epidemics. They should also avoid spreading disease to vulnerable patient groups. Appropriate vaccination for BCG, hepatitis B, polio, diphtheria, measles, rubella, meningococcal, influenza, varicella, and pertussis is recommended, especially if at increased risk of exposure. The Expanded Programme on Immunization recommended vaccines is fully covered. Vaccination of special populations and the future of vaccines is also discussed.

Epidemiosurveillance of Brucella infection in humans, non-ruminants and wildlife from Pakistan perspective (2000-2020)

This review aimed at providing an overview of the prevalence and epidemiosurveillance of brucellosis in non-ruminants and humans in Pakistan during 2000-2020. Sero-prevalence of brucellosis has been reported in non-ruminants such as camels, equines, dogs and humans with the range of 0.5-21%, 16.23-62.6%, 9.2-63.8% and 2.0-70% respectively. Non-target species like Avian, reptiles and amphibians were also reported with the prevalence of 2.5%, 24.9% and 25% respectively. Ignorance and indifference make it endemic in ruminants and much-neglected disease in non-ruminants with less or no studies reported in canines. Vaccines are available and being used for ruminants while none is available for non-ruminants, which may serve as an important source of spreading disease in animals and humans. In Pakistan, it is considered as ignored disease in non-ruminants lacking effective policies for control and eradication. This review guides policymakers to draw guidelines regarding brucellosis control and eradication using one health approach.

Geostatistical modeling of “lethal coconut palm crown atrophy”, a new disease in the State of Pará

’Lethal Coconut Palm Crown Atrophy’ (LCCA) is a rapidly spreading disease in Brazil, capable of quickly killing coconut trees and threatening the commercial exploration of this plant. The objective of this work was to characterize the spatial and temporal distribution pattern of LCCA in green dwarf coconut commercial plantation areas, located the municipality of Santa Izabel, mesoregion of Northeastern Pará, Brazil. Surveys were carried out at monthly intervals between January 2014 and December 2018, checking for plants with LCCA-characteristic symptoms. Geostatistics was applied to perform spatial-temporal disease estimates based on semivariogram modeling and preparation of ordinary kriging maps. These spatial estimates are conducted through interpolations that characterize data variability in the area. The spherical model yielded the best fit to the spatial distribution of the disease, as it presented the best coefficient of determination (R²), with the range varying between 14m and 45m. The Spatial Dependence Index (SDI) was moderate in the evaluations carried out between 2014 and 2017 (in the 0.26-0.64 range), but not in 2018, when it was strong (0.23). The values of the clustering intensity of LCCA-symptomatic plants were estimated in non-sampled points. The spherical fit model of the data indicates an aggregated distribution pattern, shown by aggregation patches in the plantation, graded by values of dissemination intensity. The kriging maps allowed the observation that the disease expands between plants in the same line, suggesting the possibility of the presence of a short-range vector.

Biological Pathway Introduction of Quarantine Animal Disease through International Waste at Soekarno Hatta International Airport, Indonesia

International flights coming to Indonesia, in addition to bringing in passengers, also brings in passenger’s food waste and garbage from the activities in the airplane. Soekarno Hatta International Airport (SHIA), as one of the busiest airports in Indonesia has great potential as a waste producer. International waste has a higher risk in terms of spreading disease to the environment around the airport, which will ultimately impact human and animal health in general. Waste risk assessment carried by international aircraft as a risk carrier of quarantine animal disease entering Indonesia has never been done. The aim of this study was to identify the biological pathway from the entry of pathogens through international waste and how to prevent it. The results, there were three pathway of international waste management at SHIA. The first pathway, the waste was not unloaded from international aircraft and returned to the country of origin. The second pathway, international waste was unloaded from international aircraft, then destroyed in incinerators inside the airport area. The third pathway, the waste was managed by the inflight catering company and taken out of the SHIA. The third pathway has a highest risk as an entry pathway of quarantine animal disease. There was possibility that food waste was reused as animal feed. Regulations regarding airport waste management is exist, but the implementation is not optimal. The authority and agencies related to international waste at SHIA need to enforce the existing rules about international waste management, to prevent the spread of diseases due to waste.

Socio-demographic and Clinical Profile of Bangladeshi COVID 19 Patients with their Clinical Outcome in National Institute of Cardiovascular Diseases, Dhaka

Background: The novel corona virus (COVID 19) pandemic is a major global health threat of the twenty-first century. Clinical presentation, rapid identification of causes and isolation are vital for containments of rapidly spreading disease. The objective of the study was to report early findings on demographic profile, clinical presentation of the confirmed COVID 19 patients with their clinical outcome. Methods: This observational study was conducted in Microbiology Department of National Institute of Cardiovascular Diseases (NICVD) for the period of October 01, 2020 to November 30, 2020. Total 300 positive COVID 19 patients were included and interviewed. Informed written consent was ensured before participation. After collection, Data were analyzed to show the characteristics of COVID 19 cases and their clinical outcome after treatment. Results: Among the 300 cases 228 (76%) patients were male and 72 (24%) patients were female. Average age of the patients was 39 years. The most commonly observed symptoms were fever (70%), followed by cough (55%), breathlessness (42%), dysgeusia (38%), anosmia (25%). Respiratory symptom was the dominant feature of clinical presentation. The most prevalent affected age groups were 114 (38%) patients in 41-50 years age, 102 (34%) patients in 31- 40 years age. Among the total cases 255 (85%) patients were Urban residents and 234 (78%) had contact history. Among 300 patients 102 (34%) patients had co-morbidities and presence of co-morbidities (p<0.01) were significantly associated with mortality. The death rate was 2%. Conclusion: Typical presentations of COVID-19 were fever, cough, breathlessness, dysgeusia and anosmia. Requirement of ICU was 6% and overall mortality was 2% which was associated with comorbidities. Cardiovasc j 2021; 14(1): 50-54

Reappraisal of trifluperidol against Nsp3 as a potential therapeutic for novel COVID-19: a molecular docking and dynamics study

Novel COVID-19 is a highly infectious disease that is caused by the recently discovered SARS-CoV-2. It is a fast-spreading disease that urgently requires therapeutics. The current study employed computational regression methods to target the ADP-ribose phosphatase (ADRP) domain of Nsp3 using FDA-approved drugs. Identified leads were further investigated using molecular dynamics simulation (MDS). The screening and MDS results suggest that trifluperidol could be a novel inhibitor of the ADRP domain of Nsp3. Trifluperidol could, therefore, be used to help control the spread of COVID-19, either alone or in combination with antiviral agents.

Isolation and Characterization of Phages Active against Paenibacillus larvae Causing American Foulbrood in Honeybees in Poland

The aim of this study was the isolation and characterization, including the phage effect on honeybees in laboratory conditions, of phages active against Paenibacillus larvae, the causative agent of American Foulbrood—a highly infective and easily spreading disease occurring in honeybee larva, and subsequently the development of a preparation to prevent and treat this dangerous disease. From the tested material (over 2500 samples) 35 Paenibacillus spp. strains were obtained and used to search for phages. Five phages specific to Paenibacillus were isolated and characterized (ultrastructure, morphology, biological properties, storage stability, and genome sequence). The characteristics were performed to obtain knowledge of their lytic potential and compose the final phage cocktail with high antibacterial potential and intended use of future field application. Preliminary safety studies have also been carried out on healthy bees, which suggest that the phage preparation administered is harmless.

Automation of Door Opening & Closing

<p>In the current pandemic situation is arisen due to COVID-19, So every human has required to take precaution like wear mass, keep distancing, sanitizing hand, don't touch anything if not which not necessary. But something is like Table, door, vehicles etc. we touch so there is chance of spreading disease. In college and Offices, the peoples are meet so there are chances spreading disease due to the touching of door or any other thing on which germs are present. The project is based on automation, in which we will making an automatic opening and closing of door mechanism (home/college door). In which the door is open when the sensor on the door cut then mechanism is operated and open the door and after close automatically. So, there is no physical touch of human with door, hence it will help to prevent or reduce the spreading of pandemic disease COVID-19.<b> </b>Our project is based on Ultrasonic Sensor and Arduino, in which door is automatically opens and closes by detecting a person. As soon as a person approaches the door (at about 2 or 3 feet), the door automatically turned open and after some time (about 5 to 10 seconds), the door closes by turning in the reverse direction. Such Automatic Door Opening and closing systems are very useful as you do not need a person to standby the door and open it whenever a guest comes. Also, since the doors are opened and closed only when a person approaches the door, there is significantly less loss of air conditioning.</p>