scholarly journals Analyzing the Global Impact of COVID-19 Vaccination Progress: A Result-oriented Storytelling Approach

Author(s):  
Samrat Kumar Dey ◽  
Dr. Md. Mahbubur Rahman ◽  
Dr. Umme Raihan Siddiqi ◽  
Arpita Howlader ◽  
Arifuzzaman Tushar

The next big step in combating the coronavirus disease 2019 (COVID-19) pandemic will be gaining widespread acceptance of a vaccination campaign for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but achieving high uptake need proper understandings. Many health professionals, researchers, statisticians, and programmers to track the viruses spread in different parts of the world have used various methods. However, the proliferation of vaccines produced by talented scientists around the world has sparked a strong desire to extract meaningful insights from available data. Until now, several vaccines against coronavirus disease (COVID-19) have been approved and are being distributed worldwide in various regions. This study aims to report the detailed data analysis and result-oriented storytelling of the COVID-19 vaccination program of different countries across the globe. To analyze the vaccination trend globally this research utilized two different open datasets provided by ourworldindata.org and worldometers.info. An exploratory data analysis (EDA) with interactive data visualization using various python libraries was conducted, and the results are presented in this article to better understand the impact of ongoing vaccination programs around the world. Apart from the valuable insights gained from the data of various countries, this investigation also included a comparison of the number of confirmed and death cases before and after vaccination to determine the efficacy of each vaccine in each country. The results show that a large number of people are still undecided about whether or not to get a COVID-19 vaccine, despite the virus's continued devastating effects on communities. Overall, our findings contribute to ongoing research aimed at informing policy on how to persuade the unvaccinated to be vaccinated.

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Marcos Amaku ◽  
Dimas Tadeu Covas ◽  
Francisco Antonio Bezerra Coutinho ◽  
Raymundo Soares Azevedo ◽  
Eduardo Massad

Abstract Background At the moment we have more than 177 million cases and 3.8 million deaths (as of June 2021) around the world and vaccination represents the only hope to control the pandemic. Imperfections in planning vaccine acquisition and difficulties in implementing distribution among the population, however, have hampered the control of the virus so far. Methods We propose a new mathematical model to estimate the impact of vaccination delay against the 2019 coronavirus disease (COVID-19) on the number of cases and deaths due to the disease in Brazil. We apply the model to Brazil as a whole and to the State of Sao Paulo, the most affected by COVID-19 in Brazil. We simulated the model for the populations of the State of Sao Paulo and Brazil as a whole, varying the scenarios related to vaccine efficacy and compliance from the populations. Results The model projects that, in the absence of vaccination, almost 170 thousand deaths and more than 350 thousand deaths will occur by the end of 2021 for Sao Paulo and Brazil, respectively. If in contrast, Sao Paulo and Brazil had enough vaccine supply and so started a vaccination campaign in January with the maximum vaccination rate, compliance and efficacy, they could have averted more than 112 thousand deaths and 127 thousand deaths, respectively. In addition, for each month of delay the number of deaths increases monotonically in a logarithmic fashion, for both the State of Sao Paulo and Brazil as a whole. Conclusions Our model shows that the current delay in the vaccination schedules that is observed in many countries has serious consequences in terms of mortality by the disease and should serve as an alert to health authorities to speed the process up such that the highest number of people to be immunized is reached in the shortest period of time.


2021 ◽  
Author(s):  
Rohan Arambepola ◽  
Yangyupei Yang ◽  
Kyle Hutchinson ◽  
Francis D Mwansa ◽  
Julie Ann Doherty ◽  
...  

Introduction: Despite gains in global coverage of childhood vaccines, many children remain undervaccinated. Vaccination campaigns also known as Supplemental Immunization Activity (SIA) are commonly conducted to reach those who are undervaccinated. However, reaching these children even during an SIA is challenging. We evaluated the effectiveness of an SIA in reaching zero dose children. Methods: We conducted a prospective study in 10 health center catchment areas in Southern province, Zambia in November 2020. About 2 months before the measles and rubella SIA we developed aerial satellite maps which were then used to enumerate and survey households. Zero dose children were identified during this exercise. After the SIA, households with zero dose children identified before the SIA were targeted for mop up vaccination and to assess if they were vaccinated during the SIA. A Bayesian geospatial model was used to identify factors associated with zero-dose status before the campaign and produce fine-scale prevalence maps. Models were used to identify factors associated with measles zero-dose children reached in the campaign and identify optimal locations for additional vaccination sites. Results: Before the vaccination campaign, 4% of children under 9 months were DTP zero-dose and 17% of children 9-60 months were measles zero-dose. Of the 461 measles zero-dose children identified before the vaccination campaign, 338 (73.3%) were vaccinated during the campaign, 118 (25.6%) were reached by a targeted mop-up activity. The presence of other children in the household, younger age, greater travel time to health facilities, and living between health facility catchment areas were associated with zero-dose status. Mapping zero-dose prevalence revealed substantial heterogeneity, both within and between catchment areas. Several potential locations were identified for additional vaccination sites. Conclusion: Fine-scale variation in zero-dose prevalence and the impact of accessibility to healthcare facilities on vaccination coverage were identified. Geospatial modeling can aid targeted vaccination activities.


2020 ◽  
Vol 5 (2) ◽  
pp. 212 ◽  
Author(s):  
Dito Aditia Darma Nasution ◽  
Erlina Erlina ◽  
Iskandar Muda

<p><em>This study aims to determine the impact of the COVID-19 pandemic on the Indonesian economy. Until this research was written, 93 countries were found infected with COVID-19. The spread of COVID-19 which had spread eventually brought very bad risks to the world economy, including Indonesia, especially in terms of tourism, trade and investment. The method used in this research is descriptive quantitative method that uses an approach called secondary data analysis, which is a research methodology that uses secondary data as the main data source. Based on the results of the study, Indonesia is currently still in a stable economic situation. Strategic steps related to fiscal and monetary are also estimated to still have room to provide economic stimulus if needed. However, as the COVID-19 pandemic case developed, the market did fluctuate more in the negative direction. Not only that, the slow pace of Indonesia's export activities to China will also have a significant impact on the economy in Indonesia.</em></p><p><em><br /></em></p><p><em>Penelitian ini bertujuan untuk mengetahui dampak pandemi COVID-19 terhadap perekonomian Indonesia. Hingga penelitian ini ditulis ditemukan 93 negara yang telah terjangkit COVID-19. Pandemi COVID-19 yang telah menyebar pada akhirnya membawa risiko yang sangat buruk bagi perekonomian dunia termasuk Indonesia khususnya dari sisi pariwisata, perdagangan serta investasi. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif deskriptif dengan menggunakan pendekatan analisis data sekunder. Berdasarkan hasil penelitian, dampak pandemi COVID-19 menyebabkan rendahnya sentimen investor terhadap pasar yang pada akhirnya membawa pasar ke arah cenderung negatif. Langkah-langkah strategis terkait fiskal dan moneter sangat dibutuhkan untuk memberikan rangsangan ekonomi. Seiring berkembangnya kasus pandemi COVID-19, pasar lebih berfluktuasi ke arah yang negatif. Tidak hanya itu saja, lambatnya ekonomi global khususnya kegiatan ekspor Indonesia ke China juga berdampak signifikan terhadap perekonomian Indonesia. Hal tersebut berdasarkan analisis sensitivitas yang menjelaskan bahwa lambatnya ekonomi global saat ini sangat berdampak terhadap pertumbuhan perekonomian Indonesia.</em></p>


2011 ◽  
Vol 2 (6) ◽  
pp. 298-305
Author(s):  
Ahmad Jafari Samimi

The purpose of the present paper is to compare the impact of implementing Value Added Tax on Export of goods and services in selected countries. In this paper, we used four different indices for export; export of goods and services, export of goods and services (BOP), export of goods and services (annual % growth), export of goods and services (% of GDP) to investigate the sensitivity to different definitions .To do so, study concentrated on a sample of 140 countries that have applied Value Added Tax in their tax system from 1990 to 2008. Findings of the study based on Mean Difference Statistical Test in a two threeyear periods before and after introduction of VAT. In general, the results show that, in different indices, the impact of VAT on export is positive. Therefore, it is suggested that other countries have not yet introduced the VAT to reform their tax system by introducing the VAT.


Author(s):  
Andrea C. Carcelen ◽  
Simon Mutembo ◽  
Kalumbu H. Matakala ◽  
Innocent Chilumba ◽  
Gina Mulundu ◽  
...  

Zambia conducted a measles and rubella (MR) vaccination campaign targeting children 9 months to younger than 15 years of age in 2016. This campaign was the first introduction of a rubella-containing vaccine in Zambia. To evaluate the impact of the campaign, we compared the MR seroprevalence estimates from serosurveys conducted before and after the campaign in Southern Province, Zambia. The measles seroprevalence increased from 77.8% (95% confidence interval [CI], 73.2–81.9) to 96.4% (95% CI, 91.7–98.5) among children younger than 15 years. The rubella seroprevalence increased from 51.3% (95% CI, 45.6–57.0) to 98.3% (95% CI, 95.5–99.4). After the campaign, slightly lower seroprevalence remained for young adults 15 to 19 years old, who were not included in the campaign because of their age. These serosurveys highlighted the significant impact of the vaccination campaign and identified immunity gaps for those beyond the targeted vaccination age. Continued monitoring of population immunity can signal the need for future targeted vaccination strategies.


The Novel Corona virus is emerging as a Global public health threat. The outbreak initially emerged in Wuhan, China, large numbers of patients were getting sick because of Pneumonia and later it was found that they were nfected with the Novel Corona virus this emphasizes the importance of analyzing the data of this virus and predicting their risks of infecting people all around the globe. In this study, we present an effort to compile and analyze the outbreak information on COVID19 based on the open datasets on 2019 nCoV provided by the Johns Hopkins University, World Health Organization. An exploratory data analysis with visualizations has been made to understand the number of different cases reported (confirmed, death, and re-covered) in the World. Overall, at the outset of an outbreak like this, it is highly important to readily provide information to begin the evaluation necessary to understand the risks and begin containment activities.


2020 ◽  
Author(s):  
Daniyar Yergesh ◽  
Shirali Kadyrov ◽  
Hayot Saydaliev ◽  
Alibek Orynbassar

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV-2), the cause of the coronavirus disease-2019 (COVID-19), within months of emergence from Wuhan, China, has rapidly spread, exacting a devastating human toll across around the world reaching the pandemic stage at the the beginning of March 2020. Thus, COVID-19s daily increasing cases and deaths have led to worldwide lockdown, quarantine and some restrictions. Covid-19 epidemic in Italy started as a small wave of 2 infected cases on January 31. It was followed by a bigger wave mainly from local transmissions reported in 6387 cases on March 8. It caused the government to impose a lockdown on 8 March to the whole country as a way to suppress the pandemic. This study aims to evaluate the impact of the lockdown and awareness dynamics on infection in Italy over the period of January 31 to July 17 and how the impact varies across different lockdown scenarios in both periods before and after implementation of the lockdown policy. The findings SEIR reveal that implementation lockdown has minimised the social distancing flattening the curve. The infections associated with COVID-19 decreases with quarantine initially then easing lockdown will not cause further increasing transmission until a certain period which is explained by public high awareness. Completely removing lockdown may lead to sharp transmission second wave. Policy implementation and limitation of the study were evaluated at the end of the paper. Keywords COVID-19 - Lockdown - Epidemic model - SEIR - Awareness - Dynamical systems.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gulcin Ozbay ◽  
Mehmet Sariisik ◽  
Veli Ceylan ◽  
Muzaffer Çakmak

PurposeThe main purpose of this study is to make a comparative evaluation of the impacts of previous outbreaks and coronavirus disease 2019 (COVID-19) on the tourism industry. COVID-19 appears to have disrupted all memorizations about epidemics ever seen. Nobody has anticipated that the outbreak in late December will spread rapidly across the world, be fatal and turn the world economy upside down. Severe acute respiratory syndrome, Ebola, Middle East respiratory syndrome and others caused limited losses in a limited geography, thus similar behaviors were expected at first in COVID-19. But it was not so. Today, people continue to lose their lives and experience economic difficulties. One of the most important distressed industries is undoubtedly tourism.Design/methodology/approachThis study is a literature review. In this review, a comparative evaluation between the impact of previous outbreaks and COVID-19 on the tourism industry has been made based on statistics and previous research studies.FindingsThe information and figures obtained show that COVID-19 and previous outbreaks have such significant differences that cannot be compared. COVID-19 has been one of the worst to live in terms of spreading speed, the geography where it spreads, loss of lives and negative effects in the whole area.Originality/valueIt is noteworthy that COVID-19 is very severe in terms of death cases and also its impacts on the economy compared to other pandemics. It remains to be argued that COVID-19 can also be a reference in terms of possible new outbreaks in the future, and is an effective actor in determining future strategies.


2020 ◽  
Vol 4 (2) ◽  
pp. 22-23
Author(s):  
Sunjida Haque ◽  
Tanbir Ahmed Chowdhury

The world's big economies are roiled and going under a devastating threat amid the impact of the COVID-19 pandemic. No country will be safe as this virus will eventually outbreak everywhere, regardless of how countries prepare to avoid it. The economic ramification as well as the stock market crisis will be uncertain due to the extended suspension of economic activities in almost every country. No wonder, the clattered stock markets of Bangladesh which have already got the adjective of “the worst stock market in the world” because of inefficient and irrational fluctuations in previous years will experience a colossal crisis due to the pandemic. The article provides an investigation on comparable analysis of the impact on stock markets of Bangladesh, Dhaka stock exchange, and Chittagong stock exchange, before and after the pandemic situation with current market data. We also examine the potential consequence of policy interventions to the market and the investors during a pandemic.


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