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This paper has proposed a Fog architecture-based framework, which classifies dengue patients into uninfected, infected and severely infected using a data set built in 2010. The aim of this proposed framework is to developed a latency-aware system for classifying users into different categories based on their respective symptoms using Internet of Things (IoT) sensors and audio and video files.

To achieve the aforesaid aim, a smart framework is proposed, which consist of three components, namely, IoT layer, Fog infrastructure and cloud computing. The latency of the system is reduced by using network devices located in the Fog infrastructure. Data generated by IoT layer will first be processed by Fog layer devices which are in closer proximity of the user. Raw data and data generated will later be stored on cloud infrastructure, from where it will be sent to different entities such as user, hospital, doctor and government healthcare agencies.

Experimental evaluation proved the hypothesis that using the Fog infrastructure can achieve better response time for latency sensitive applications with the least effect on accuracy of the system.

The proposed Fog-based architecture can be used with IoT to directly link it with the Fog layer.

Piperidine side chain-functionalized N, N′-bissalicylidene phenylene di amine di-anion (salphen) consisting of salphen-Zn and salphen-Cu are able to intercalate with nucleic base stacking of DNA and can be applied as an optical DNA hybridization detector. Attaching DNA and salphen to glass surfaces has been done via coating the surface with the silane coupling agents containing 3-aminopropyltriethoxysilane that was synthesized for acting as a high-affinity RNA carrier matrix. The Schiff base salphen-zinc (II) and salphen-Cu (II) complexes-labelled probe to target nucleic acid renders a colour change of the DNA biosensor to a green and red background colour for zinc and copper, respectively. This study aims to indicate that the DNA biosensor data with high efficiency is used for detection of dengue virus serotypes 2 (DENV-2) and Chikungunya virus (CHIKV) concentration via salphen-Zn (II) and salphen-Cu (II), respectively, in human samples.

¹H-NMR and ¹³C-NMR have been used via PerkinElmer LAMBDA 35 instrument. The authors also used a double beam spectrophotometer with (CH₃)4Si (TMS) as reference and dimethyl sulfoxide as solvent reference in pH = 7.0. Various DNA concentrations have been used for UV spectrophotometry at 300 nm and 400 nm for zinc and copper complexes, respectively. BRUKER mass spectra with DIONEX Ultimate 3000 LC model were used for all measurements. Mettler Teledo model (DSC882e) of differential scanning calorimeter (DSC) was used for measure the melting temperature of metal zinc and copper complexes. The morphology of the silica Nano spheres (SiNs) were scanned by FESEM with Model JSM-6700F from Japan.

The Cu (II) and Zn (II)-salphen-viruses DNA system for CHIKV and DENV-2, respectively, in different concentration have been investigated via various spectroscopies (Figure 3). CHIKV and DENV-2 DNA were selected from human saliva and urine samples as models for conformations of human G4-DNA. By increasing the amounts of DNAs, and G4, the UV–Vis bands of located above 300 nm, experienced a hypochromic effect. The Cu2+ complex exhibits selectivity towards the G4, and there is a similar affinity for Zn²⁺ complex binds to the G4. These results collectively suggest that the Cu²⁺ complex is stronger than the Zn2+ complex. The authors have found copper (II) and zinc (II) compounds and nucleic acid-complexes are strongly fluorescent molecules in the low energy range, from the visible to the near-infrared. Since the fluorescent emission of Zn (II) and Cu (II) complexes are enhanced by the binding to nucleic acids upon visible light exposure when bound to DNA. These complexes are important as selective fluorescent probes for nucleic acids and to highlight their potential application. UV–vis spectroscopy is an accurate for finding the extent of ligand interaction with DNA and metallic complexes–DNA binding. Generally, the binding of intercalative compounds to DNA can be characterized through absorption spectral titrations, where lowering in absorbance (hypochromism) and shift to longer wavelengths (red shift) were observed in this work.

The serum samples have been provided as citrate and collected in tubes after blood is allowed to clot. Then, it has been separated by centrifugation, and the authors have kept serum refrigerated at 4°C or frozen at –20°C. It is notable; specimens have been confirmed by Centres for Disease Control (CDC)-Dengue Branch previously. For the work, these samples have been frozen previously, and the diagnostic practiced tests at the CDC-Dengue Branch have been validated in serum and plasma. Therefore, plasma separated in lavender or heparins are suitable and acceptable for serology testing.

The purpose of this paper is to investigate the influence of breeding containers on the production of Aedes mosquitoes after a vector-control program in households that might support dengue transmission in tourist attraction areas of Bang Kachao Riverbend, Thailand.

A cross-sectional study was conducted in an ecotourism area of Bang Kachao Riverbend, Thailand, during the period October 2016 to September 2017. A total of 832 households from five villages participated in the study. Data collection employed an interview questionnaire, larval mosquito survey and measurements of the chemical properties of the water in each container. A binary logistic regression model was used to investigate the characteristics of water containers influencing the presence or absence of Aedes immatures.

The study found that water containers located inside households had a highly presence of Aedes immatures (2.22 times) compared with outdoor containers. Water containers without lids and water containers with ineffective had a high presence of Aedes immatures (3.69 and 2.54 times, respectively). In addition, the chemical properties of the water inside the containers, such as pH, influenced the presence of Aedes immatures (1.76 times) (OR=1.76, 95% CI=1.59–1.96).

The study results emphasized the characteristics of water containers in households located in a tourist attraction area. The findings may inform public health vector-control messages for households located in the tourist attraction area.

Purpose – Purpose of the research is to make a comprehensive study to elucidate the existing landscape of scientific production of disease outbreaks, pandemics and tourism research. In doing so, authors analyzed scientific production of pandemics and tourism-related studies such as year-wise publications, productive authors, institutes, funding sponsors, thematic areas of research and citation analysis.

Design/methodology/approach – Authors analyzed the research papers indexed in the online Scopus database over 50 years of time starting from 1971 to 2020 by using bibliometrics, and the data are visualized by using data visualization tools like VOSviewer and the Tableau.

Findings – The understanding of disease outbreaks and pandemics in tourism has increased over the years in terms of number of papers, citation, networks and collaborative themes of research.

Research limitations/implications – Data for the study were generated from Scopus online database and limited to English-written journal articles that were produced with search strategy of specific keywords associated with tourism, virus, pandemics and disease outbreak.

Practical implications – Findings of the research provide insights into academia and practitioners on the understanding of disease outbreaks, pandemics and tourism research, coherent development of the concept and understanding the research gap and focussed area of research.

Originality/value – As per authors' understanding, this paper would be one of the first attempts to provide greater understanding of disease outbreaks, pandemics and tourism as a research topic by examining the growth and evolution in an academic context through bibliometric analysis.

Paper type – Review paper.

The purpose of this paper is to empirically examine whether the massive spreads and fatalities of the COVID-19 pandemic in the USA, the country with the most advanced medical technology in the world, are symptomatic of leadership failure. The authors posit that when political leaders, such as the President of the USA, in conjunction with a group of state governors and city mayors, employed conspiracy theories and disinformation to achieve their political goals, they contributed to the massive spreads and fatalities of the virus, and they also undermined the credibility of the Centers for Disease Control and Prevention (CDC) and the health-care professionals in providing the pertinent control guidelines and true scientific-based medical information.

The authors conducted a review of current studies that address the handling of global infectious diseases to build a better understanding of the issue of pandemics. They then employed a theoretical framework to link the massive spreads and fatalities of the COVID-19 pandemic to political leaders, such as President Trump and the group of obsequious state governors and city mayors, who propagated conspiracy theories and disinformation through social media platforms to downplay the severity of the virus. The authors compared the massive spreads and fatalities of the COVID-19 pandemic in the USA under President Trump to President Obama who handled H1N1, Ebola, Zika and Dengue. More importantly, the authors compared President Trump's handling of the COVID-19 pandemic to other political leaders in advanced countries where there were no concerted efforts to spread conspiracy theories and disinformation about the health risks of COVID-19 pandemic.

The authors' theoretical analysis alluded to the fact that political leaders, such as President Trump, who are engulfed in self-deceptions, self-projections and self-aggrandizements would engage in self-promotion and avoid accountability for their missteps in handling global pandemic shocks. In contrast, political leaders in other advanced countries did not downplay the severity thus their ability to curtail the spreads and fatalities of the COVID-19 pandemic.

The theoretical viewpoints presented in this paper along with the derivations of the spreads–fatalities curtailment coefficients and the spread–fatality upsurge coefficients under Presidents Obama and Trump, respectively, may not be replicable. Given this plausible limitation, future research may need to provide a deep analysis of the amplifications of conspiracy theories and disinformation because they are now deeply rooted in the political economy of the USA. Furthermore, since scientists and medical professionals may not be able to forecast future epidemics or pandemics with pin-point accuracy nor predict how political leaders would disseminate health risks information associated with different pathogens, it is imperative that future research addresses the positive or adverse effects of conspiracy theories and disinformation that are now easily propagated simultaneously through different social media platforms, which are currently protected under Section 230 of the Communications Decency Act. The multiplier effects of conspiracy theories and disinformation will continue to amplify the division about the authenticity of COVID-19 pandemic and the emergence or reemergence of other pathogens in the foreseeable future.

The authors derived the unique spreads-fatalities curtailment coefficients to demonstrate how President Obama used effective collaboration and coordination at all levels of government in conjunction with medical experts to curtail the spreads and fatalities associated with H1N1, Ebola, Zika and Dengue. They further derived the spreads-fatalities upsurge coefficients to highlight how President Trump contributed to the spreads and fatalities of COVID-19 pandemic through his inability to collaborate and coordinate with state governors, city mayors and different health-care agencies at the national and international levels.

The purpose of this paper is to determine the factors associated with DF occurrence in recurrence villages in Chiang Rai, Thailand.

A case-control study was conducted between June 2017 and December 2017. A validated questionnaire was used to detect the factors associated with recurrence of DF. χ² and logistic regression were used to detect the associations between variables at α=0.05.

In total, 213 cases and 436 controls were recruited into the analysis. Cases were recruited from 20 DF recurring villages, while controls were recruited from 20 non-DF recurring villages in Chiang Rai province. At community level, three variables were associated with recurrence of DF; size of the village (p=0.007), number of villagers (p=0.009), tribe (p=0.043) and distance to a hospital (p=0.003). Three variables were associated with DF at personal and family levels in multivariate model: children whose parents worked as daily employees, and government officers and traders were more likely to have DF 1.56 (95%CI=1.22–2.48) and 4.31 (95%CI=4.66–9.38) times greater than of those whose parents’ worked as agriculturists, respectively; children aged less than one year were 2.89 (95%CI=2.17–4.33) times more likely to have DF than those aged=6 and children who were under standard growth and over standard growth were more likely to have DF than those standard growth 1.61 (95%CI=1.18–2.53) and 7.33 (95%CI=4.39–10.37) times, respectively.

This is the original research article which was conducted in detecting the factors associated with recurrence of DHF in Northern Thailand.