A Review on Covid 19 Pandemic and its Global Effects

The novel Corona Virus Disease popularly known as COVID-19 brought all sectors to a temporary standstill since its first outbreak in Wuhan China in 2019. The rapid spread of this disease to all countries of the world made it to be declared a pandemic by the world health organization in the first quarter of the year 2020. This pandemic exposed the world population to the understanding of immunity since that was the only remedy at present to this new pandemic. The morbidity and mortality of this new virus were estimated across the globe by many institutions and organizations. The tropical regions where malaria epidemic is more pronounced is less affected by COVID-19 probably due to high immunity already developed by the population as a result of frequent malaria disease and regular use of anti-malarial drug.

Unraveling the Complexity of Imported Malaria Infections by Amplicon Deep Sequencing

Imported malaria and recurrent infections are becoming an emerging issue in many malaria non-endemic countries. This study aimed to determine the molecular patterns of the imported malaria infections and recurrence. Blood samples were collected from patients with imported malaria infections during 2016–2018 in Guangxi Zhuang Autonomous Region, China. Next-generation amplicon deep-sequencing approaches were used to assess parasite genetic diversity, multiplexity of infection, relapse, recrudescence, and antimalarial drug resistance. A total of 44 imported malaria cases were examined during the study, of which 35 (79.5%) had recurrent malaria infections within 1 year. The majority (91.4%) had one recurrent malaria episode, whereas two patients had two recurrences and one patient had three recurrences. A total of 19 recurrence patterns (the species responsible for primary and successive clinical episodes) were found in patients returning from malaria epidemic countries. Four parasite species were detected with a higher than usual proportion (46.2%) of non-falciparum infections or mixed-species infections. An increasing trend of recurrence infections and reduced drug treatment efficacy were observed among the cases of imported malaria. The high recurrence rate and complex patterns of imported malaria from Africa to non-endemic countries have the potential to initiate local transmission, thereby undermining efforts to eliminate locally acquired malaria. Our findings highlight the power of amplicon deep-sequencing applications in molecular epidemiological studies of the imported malaria recurrences.

Predicting malaria epidemics in Burkina Faso with machine learning

Accurately forecasting the case rate of malaria would enable key decision makers to intervene months before the onset of any outbreak, potentially saving lives. Until now, methods that forecast malaria have involved complicated numerical simulations that model transmission through a community. Here we present the first data-driven malaria epidemic early warning system that can predict the 13-week case rate in a primary health facility in Burkina Faso. Using the extraordinarily high-fidelity data of infant consultations taken from the Integrated e-Diagnostic Approach (IeDA) system that has been rolled out throughout Burkina Faso, we train a combination of Gaussian Processes and Random Forest Regressors to estimate the weekly number of malaria cases over a 13 week period. We test our algorithm on historical epidemics and find that for our lowest threshold for an epidemic alert, our algorithm has 30% precision with > 99% recall at raising an alert. This rises to > 99% precision and 5% recall for the high alert threshold. Our two-tailed predictions have an average 1σ and 2σ precision of 5 cases and 30 cases respectively.

Research supporting malaria control and elimination in China over four decades: a bibliometric analysis of academic articles published in chinese from 1980 to 2019

Background China has accumulated considerable experience in malaria control and elimination over the past decades. Many research papers have been published in Chinese journals. This study intends to describe the development and experience of malaria control and elimination in China by quantitatively analysing relevant research using a bibliometric analysis. Methods A long-term, multistage bibliometric analysis was performed. Research articles published in Chinese journals from 1980 to 2019 were retrieved from the Wanfang and China National Knowledge Infrastructure (CNKI) databases. Year of publication, journal name and keywords were extracted by the Bibliographic Items Co-occurrence Matrix Builder (BICOMB). The K/A ratio (the frequency of a keyword among the total number of articles within a certain period) was considered an indicator of the popularity of a keyword in different decades. VOSviewer software was used to construct keyword co-occurrence network maps. Results A total of 16,290 articles were included. The overall number of articles continually increased. However, the number of articles published in the last three years decreased. There were two kinds of keyword frequency trends among the different decades. The K/A ratio of the keyword ‘Plasmodium falciparum’ decreased (17.05 in the 1980s, 13.04% in the 1990s, 9.86 in the 2000s, 5.28 in the 2010s), but those of ‘imported case’ and ‘surveillance’ increased. Drug resistance has been a continuous concern. The keyword co-occurrence network maps showed that the themes of malaria research diversified, and the degree of multidisciplinary cooperation gradually increased. Conclusions This bibliometric analysis revealed the trends in malaria research in China over the past 40 years. The results suggest emphasis on investigation, multidisciplinary participation and drug resistance by researchers and policymakers in malaria epidemic areas. The results also provide domestic experts with qualitative evidence of China’s experience in malaria control and elimination.

Malaria epidemic in humanitarian crisis settings the case of South Kordofan state, Sudan

Introduction: Malaria remains one of the most common public health problems worldwide, especially in Sudan. With this short communication we aimed at reporting on the latest malaria epidemic that had occurred in the humanitarian settings in South Kordofan state, south-western Sudan, during 2018 and 2019. Methodology: This is a cross-sectional study analyzing malaria surveillance reports between February 2018 to September 2019. Malaria was reported from febrile patients with confirmed malaria diagnosis using Giemsa stain. According to age, patients were distributed across three categories: less than 5 years, 5 to 15 years, and more than 15 years. Results: In 2019 and 2018, 63,214 and 63,224 cases of malaria were reported, respectively, constituting around 5.5% of the state population (1,152,900). In 2018, 3,571 malaria cases were reported in February, then they decreased in August followed by increase in September-October. In 2019, 15,610 malaria cases were reported in September. Malaria cases aged less than 5 years were 21,848 and 23,561 cases in 2018 and 2019, respectively. Conclusions: The reported sudden epidemic of malaria is alarming. Therefore, identifying the risk factors associated with this epidemic is crucial to malaria prevention and control, and hence successful achievement of malaria elimination.

Decades of research supporting malaria control and elimination in China: a bibliometric analysis of academic articles published in Chinese from 1980 to 2019

Background: China has accumulated a lot of experience on malaria control and elimination in the past few decades. Many research papers have been published in Chinese journals. This study intends to obtain the development path and experience of malaria control and elimination in China by quantitatively analyzing these local journals based on the bibliometric analysis.Methods: A long-term, multi-stage bibliometric analysis was implemented. Research articles published in Chinese journals from 1980 to 2019 were retrieved from Wanfang database and China National Knowledge Infrastructure (CNKI). Year of publication, journal name and keywords were extracted by the Bibliographic Items Co-occurrence Matrix Builder (BICOMB). We defined the K/A ratio (the percentage of a keyword frequency in the number of articles within a certain period) as an indicator for measuring the popularity of a keyword in different decades. And we used the software VOSviewer to make keyword co-occurrence network maps.Results: A total of 16,290 articles were included. The overall trend of articles continues to rise. However, the articles published in the past three years had continued to decline. There are two kinds of trends of the keyword frequency between different decades. The K/A ratio of keywords such as ‘Plasmodium falciparum’ continued to decline (17.05% in 1980s, 13.04% in 1990s, 9.86% in 2000s, 5.28% in 2010s), but ‘imported case’ and ‘surveillance’ continued to rise. Drug resistance always was a concern. The keyword co-occurrence network maps showed that the themes in malaria research were becoming more diverse, and the degree of multidisciplinary cooperation was gradually deepening.Conclusion: This bibliometric analysis reveals the trends in malaria research in China over the past 40 years. The results suggest the high attention on the investigation, multidisciplinary participation and drug resistance for researchers and policymakers in malaria-epidemic areas. And the results also provided domestic experts with qualitative evidence for the summary of China's experience on malaria control and elimination.

Malaria in Southern Venezuela: The hottest hotspot in Latin America

Malaria elimination in Latin America is becoming an elusive goal. Malaria cases reached a historical ~1 million in 2017 and 2018, with Venezuela contributing 53% and 51% of those cases, respectively. Historically, malaria incidence in southern Venezuela has accounted for most of the country's total number of cases. The efficient deployment of disease prevention measures and prediction of disease spread to new regions requires an in-depth understanding of spatial heterogeneity on malaria transmission dynamics. Herein, we characterized the spatial epidemiology of malaria in southern Venezuela from 2007 through 2017 and described the extent to which malaria distribution has changed country-wide over the recent years. We found that disease transmission was focal and more prevalent in the southeast region of southern Venezuela where two persistent hotspots of Plasmodium vivax (76%) and P. falciparum (18%) accounted for ~60% of the total number of cases. Such hotspots are linked to deforestation as a consequence of illegal gold mining activities. Incidence has increased nearly tenfold over the last decade, showing an explosive epidemic growth due to a significant lack of disease control programs. Our findings highlight the importance of spatially oriented interventions to contain the ongoing malaria epidemic in Venezuela. This work also provides baseline epidemiological data to assess cross-border malaria dynamics and advocates for innovative control efforts in the Latin American region.

Did Akhenaten’s Founding of Akhetaten Cause a Malaria Epidemic?

This paper presents and discusses evidence for changes in the environment that would have taken place at the site of Amarna, ancient Akhetaten, during the rapid building and populating of the city in the reign of King Akhenaten. The evidence suggests that the effect of the founding of this city, with all the consequences of a changed environment on both sides of the river, could have been responsible for a malaria epidemic. This scenario is backed up by the high prevalence of signs of malaria in the skeletal material from Amarna, as well as in the short-lived history of the city, which was deserted after about fifteen years.