Potato vine killing methods as related to rate of kill, vascular discoloration, and virus disease spread

ABSTRACTThe prolongation of the Ebola epidemic may have allowed some countries to prepare and respond to the coronavirus disease (COVID-19) outbreak. In Uganda, the surveillance structure built for Ebola virus disease (EVD) has become a pillar in the COVID-19 response. This testing and tracing apparatus has limited disease spread to clusters with zero mortality compared with the neighboring East African countries. As more sub-Saharan countries implement social distancing to contain the outbreak, the interventions should be phased and balanced with health risk and socioeconomic situation. However, having a decision-making matrix would better guide the response team. These initial lessons from EVD-experienced Uganda may be helpful to other countries in the region.

Primary Delay in Diagnosis in Head and Neck Cancer: Non Covid Causes in Covid-19 Pandemic Era

Journal of Universal College of Medical Sciences ◽

10.3126/jucms.v8i02.34275 ◽

2020 ◽

Vol 8 (02) ◽

pp. 31-34

Author(s):

Rishikesh Thakur ◽

Sanjeev Kumar Thakur ◽

Sanjeev Kumar Thakur

Keyword(s):

Neck Cancer ◽

Virus Disease ◽

Care Delivery ◽

Disease Spread ◽

P Value ◽

Head Neck Cancer ◽

Delay In Diagnosis ◽

Male Predominance ◽

Median Delay ◽

Head Neck

INTRODUCTION Corona virus disease (COVID-19) has been one of the cause for delay in diagnosing and management for all non COVID diseases since the pandemic started especially for head neck cancer where exposure of sites are considered high risk for disease spread. Head neck cancer need to be addressed early as per reporting various oncological guidelines in view of better prognosis if addressed early. We evaluated the non- COVID cause for primary delay by patients so that it can be addressed for better oncological care. MATERIAL AND METHODS We evaluated 35 cases of head neck cancer reported in outpatient of department of Otorhinolaryngology and head neck surgery. The inclusion criteria were the subsites( oral cavity, oropharynx, larynx and hypopharynx ) that need to be addressed promptly irrespective of COVID and the patients had given consent. Statistical Package for the Social Sciences (SPSS) version 16 used for statistical analysis and Mann Whitney U test applied for 2 independent variables. RESULTS Patients characteristic, tumor characteristics and symptoms were evaluated. Advanced age (>60 years) and male predominance were seen in 51.4% and 54.3% respectively. Median delay was noticed for 4 months . When variables were evaluated for delay, male sex and village resident showed significant primary delay in comparison to female sex and city residents with p value of 0.003 and 0.03 respectively. CONCLUSION Non COVID cause for primary delay was prevalent. The median delay noticed 4 months and need to be addressed for proper good oncological outcome and proper health care delivery because of when the pandemic will last is not clear.

Results with various chemicals for potato vine killing

American Potato Journal ◽

10.1007/bf02861939 ◽

1953 ◽

Vol 30 (6) ◽

pp. 140-142 ◽

Cited By ~ 2

Author(s):

C. R. Skogley

Keyword(s):

Vine Killing ◽

Potato Vine

Infodemic: How an Epidemic of Misinformation Could Lead to a High Number of the Novel Corona Virus Disease Cases in Uganda

10.20944/preprints202006.0009.v1 ◽

2020 ◽

Author(s):

Betty K. Nannyonga ◽

Rhoda K. Wanyenze ◽

Pontiano Kaleebu ◽

John M. Ssenkusu ◽

Freddie Sengooba ◽

...

Keyword(s):

Mathematical Model ◽

Risk Communication ◽

Virus Disease ◽

Disease Spread ◽

The Novel ◽

Corona Virus

Misinformation during the COVID-19 outbreak has shaped our perception of the disease. Some people thinkthe disease is a bioweapon while others are convinced that it is a hoax. Heightened anxiety often producesfearful rumors, some of which are absurd while others seem plausible and are laced with some truths. But, how does misinformation affect disease spread? In this paper, we construct a mathematical model parameterized by Ugandan data, to study the effect of misinformation on community COVID-19 spread. The analysis shows that misinformation leads to high number of COVID-19 cases in a community, and the effect is highest in the rumour initiators and spreaders. This analysis underscores the importance of addressing misinformation in COVID risk communication.

Potato Vine Killing or Desiccation

EDIS ◽

10.32473/edis-hs181-2007 ◽

2007 ◽

Vol 2007 (20) ◽

Author(s):

Chad M. Hutchinson ◽

William M. Stall

Keyword(s):

Vine Killing ◽

Potato Vine ◽

Fact Sheet ◽

Combination Methods ◽

Tuber Maturity

Revised! HS-925, a 3-page fact sheet by Chad M. Hutchinson and William M. Stall, describes mechanical, chemical, and combination methods of killing potato vines to ensure tuber maturity at harvest. Includes a table listing potato vine desiccants and references. Published by the UF Department of Horticultural Sciences, November 2007. HS925/HS181: Potato Vine Killing or Desiccation (ufl.edu)

Stability analysis of a compartmental SEIHRD model for the Ebola virus disease

Texts in Biomathematics ◽

10.11145/texts.2017.12.165 ◽

2017 ◽

Vol 1 ◽

pp. 44

Author(s):

Diène Ngom ◽

Benjamin Ivorra ◽

Ángel M. Ramos

Keyword(s):

Stability Analysis ◽

Ebola Virus ◽

Virus Disease ◽

West African ◽

Ebola Virus Disease ◽

Disease Spread ◽

Basic Reproduction Ratio ◽

Previous Approach ◽

Reproduction Ratio ◽

Temporal Model

In this work, we perform a stability analysis of a compartmental SEIHRD model. This model is a simplified version of a previous approach. In this previous work, we proposed an original deterministic spatial-temporal model, called Be-CoDiS (Between-Countries Disease Spread), to study the evolution of human diseases within and between countries. This model was validated by considering data from the 2014-16 West African Ebola Virus Disease epidemic. Here, considering some simplification assumptions in Be-CODIS, our goal is to study the equilibria of the model and their stability using the basic reproduction ratio as a threshold parameter. Finally, we validate the obtained results by considering some numerical experiments based on data from the 2014-16 West African Ebola Virus Disease epidemic.

An Assessment of Relation of Environmental Parameters and COVID-19 Transmission at the Early Stage During March-may 2020 in India

10.21203/rs.3.rs-234684/v1 ◽

2021 ◽

Author(s):

K C Gouda ◽

Mahendra Benke ◽

Priya Singh ◽

Reshama Kumari ◽

P Nikhilasuma ◽

...

Keyword(s):

Relative Humidity ◽

Solar Radiation ◽

Virus Disease ◽

Weather Prediction ◽

Disease Process ◽

Environmental Parameters ◽

Disease Spread ◽

Integrated Modelling ◽

Large Country ◽

Corona Virus

Abstract BackgroundThe Corona virus disease 2019 (COVID-19) mainly caused by the novel severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) became a global pandemic by March 2020. Actually, there is no strong evidence of weather and COVD-19 spread relation as it is a new virus. This study mainly focuses on the tropical weather impact on the spatio-temporal spread of COVID-19 during the early stages i.e. March-May 2020 in India, which is a large country where the disease has shown an exponential growth.Methods This study is an attempt to assess the relationship of major environmental parameters like solar radiation, air temperature and relative humidity with the positive cases of COVID-19 for the period March-May 2020 which is the summer season or pre-monsoon season over India. The time series and significant correlation analysis at daily, weekly scale and the spatial analysis of weather and COVID-19 cases are presented.ResultsThe results show a significant correlation of solar radiation and atmospheric temperature with COVID-19 cases, both at daily and weekly scale in India whereas relative humidity has low correlation in the study period. But the temperature humidity index (THI), a measure of the thermal stress, shows positive correlation with the disease spread. ConclusionsThese results could be a good input for developing the integrated modelling framework for the COVID-19 forecasting using state of art numerical weather prediction model and disease process modelling.

The Potential Risk of Plant-Virus Disease Initiation by Infected Tomatoes

Plants ◽

10.3390/plants9050623 ◽

2020 ◽

Vol 9 (5) ◽

pp. 623 ◽

Cited By ~ 1

Author(s):

Chen Klap ◽

Neta Luria ◽

Elisheva Smith ◽

Elena Bakelman ◽

Eduard Belausov ◽

...

Keyword(s):

Virus Disease ◽

Tomato Fruit ◽

Viral Disease ◽

Disease Spread ◽

Pcr Analysis ◽

Enzyme Linked Immunosorbent Assay ◽

Serological Tests ◽

Disease Epidemiology ◽

Transmission Electron

During 2019, tomato fruits showing viral-like symptoms of marbled yellow spots were abundant in Israel. The new symptoms were distinctive from those typical of tomato brown rugose fruit virus (ToBRFV) infection but resembled symptoms of pepino mosaic virus (PepMV) infection. RT-PCR analysis and the serological tests (enzyme linked immunosorbent assay, western blot and in situ immunofluorescence) revealed and confirmed the presence of both the tobamovirus ToBRFV and the potexvirus PepMV in the symptomatic fruits. A mixture of rod-like and filamentous particles, characteristic of viruses belonging to tobamovirus and potexvirus genera, was visualized by transmission electron microscopy of the tomato fruit viral extract. Sanger sequencing of amplified PepMV-coat protein gene segments showed ~98% sequence identity to the Chilean (CH2)-strain. In a biological assay testing the contribution of traded infected tomatoes to the establishment of tomato plant disease, we applied direct and indirect inoculation modes using Tm-22-resistant tomato plants. The results, assessed by disease symptom development along with serological and molecular analyses, showed that the ToBRFV and PepMV co-infected fruits were an effective inoculum source for disease spread only when fruits were damaged. Importantly, intact fruits did not spread the viral disease. These results added a new factor to disease epidemiology of these viruses.

Economic impact of Ebola Virus Disease outbreak on an extractive firm: a case study

10.14324/111.444/000023.v1 ◽

2019 ◽

Author(s):

Hisham Tariq ◽

Alexander Light ◽

...

Keyword(s):

Economic Impact ◽

Ebola Virus ◽

Preventive Measures ◽

Virus Disease ◽

Ebola Virus Disease ◽

Disease Spread ◽

Humanitarian Response ◽

Cost Impact ◽

Using Data ◽

Relational Costs

Purpose: The Ebola Virus Disease (EVD) outbreak was the most severe public health emergency in modern times. The economic impact of outbreaks has mostly been analysed at the macroeconomic level. Conversely, we aimed to estimate the economic costs of preventive measures of the outbreak to an extractive firm, ArcelorMittal, using data in the outbreak region from March 2014 to December 2015. ArcelorMittal is the worlds largest steel producer and particularly important in West Africa, where the extractive industry is economically crucial. Methods: Qualitative methods, in-depth interviews and focus group discussions, were used to investigate the events and channels of impact of the outbreak on the firm, as perceived by employees and contractors. Quantitative data regarding these costs was also collected. Retrospective cost analysis estimated the actual cost of preventive methods adopted. Results: Most respondents indicated the largest cost impact was suspension of Phase II expansion, a series of projects designed to increase iron ore production in Liberia. The next largest cost was the preventive measures adopted to counter disease spread. Total costs incurred for adopting preventive measures was USD 10.58-11.11 million. The overall direct costs of preventive measures adopted within the fence shared 30-31% of the total costs incurred. The share of external donation supporting humanitarian response was 11-12% of the total costs, followed by 7-12% of relational costs. Conclusions: The firms response during the EVD outbreak focused on its employees and operations, which was later expanded to the wider community and then in supporting the international humanitarian response.