Spatial and temporal patterns of dengue incidence in Bhutan: a Bayesian analysis

Tsheten, Tsheten; Clements, Archie C. A.; Gray, Darren J.; Wangchuk, Sonam; Wangdi, Kinley

doi:10.1080/22221751.2020.1775497

Cited by 22 publications

(24 citation statements)

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“…Adults and males were found to have a higher incidence of SARS-CoV-2 than children and females in a nation-wide study conducted in mainland China [48]. This was attributed to greater community contact, including increased outdoor activities, visiting shopping centres, dining in restaurants and bars, and gathering in colleges and universities [49][50][51]. Similarly, there is a wealth of evidence on the increase of dengue incidence among these economically productive age groups, reported in almost all the tropical and sub-tropical regions of the world [52,53].…”

Section: Clinical Outcomesmentioning

confidence: 99%

Clinical features and outcomes of COVID-19 and dengue co-infection: a systematic review

et al. 2021

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Background Dengue is the most common arboviral disease in the tropical and sub-tropical regions of the world. Like other regions, dengue-endemic areas have faced the additional public health and socio-economic impact of the ongoing coronavirus disease 2019 (COVID-19) pandemic. COVID-19 and dengue co-infections have been reported, with complicated patient management and care requirements. This review aimed to collate and synthesise current knowledge on the clinical features and outcomes of COVID-19 and dengue virus co-infection, a potentially important new dimension to be considered in public health management of the COVID-19 pandemic. Methods A systematic literature review was conducted using PubMed, Web of Science and Scopus databases from 1st January to 21st November 2020. The key search terms used were “dengue” and “coronavirus”. Descriptive analysis with graphical illustrations were used to present the clinical and laboratory parameters of the co-infection. Results Thirteen published papers and four news articles were included in the review. Most studies were case reports with a detailed description of the clinical and laboratory characteristics of the co-infection. All cases were in adults with the exception of a six-year old child. The common symptoms of co-infection were fever, dyspnea, headache, and cough. Common laboratory results included thrombocytopenia, lymphocytopenia, elevated transaminases, and leukopenia. Serious outcomes of co-infection included septic shock, acute respiratory disease syndrome and multi-organ failure, leading to death in some patients. Conclusions COVID-19 and dengue co-infection was associated with severe disease and fatal outcomes. The correct diagnosis and treatment of co-infection poses a substantial challenge due to the overlapping clinical and laboratory parameters. Therefore, confirmative diagnostic tests are necessary for accurate and timely diagnosis and patient management.

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Section: Clinical Outcomesmentioning

confidence: 99%

Clinical features and outcomes of COVID-19 and dengue co-infection: a systematic review

et al. 2021

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“…Currently, this flavivirus is reported in around 130 countries, with up to 400 million new cases of clinical infection recorded annually [ 3 ]. It is hyperendemic in southeast Asian countries, including Cambodia [ 4 ], Malaysia [ 5 ], Thailand [ 6 ], Bhutan [ 7 ], Brunei [ 8 ], Indonesia [ 9 ], Myanmar [ 10 ], Vietnam [ 11 ] and the Philippines [ 2 , 12 ]. The World Health Organization (WHO) projects that in excess of 2.5 billion people live in dengue-endemic areas, a significant contributing factor to an estimated annual death toll of 25,000 [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Different domains of dengue research in the Philippines: A systematic review and meta-analysis of questionnaire-based studies

et al. 2021

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Background Dengue is the most rapidly spreading mosquito-borne viral disease of humans worldwide, including southeast Asia region. This review provides a comprehensive overview of questionnaire-related dengue studies conducted in the Philippines and evaluates their reliability and validity in these surveys. Methods A review protocol constructed by a panel of experienced academic reviewers was used to formulate the methodology, research design, search strategy and selection criteria. An extensive literature search was conducted between March–June 2020 in various major electronic biomedical databases including PubMed, EMBASE, MEDLINE and ScienceDirect. A systematic review and meta-analysis (PRISMA) were selected as the preferred item reporting method. Results Out of a total of 34 peer-reviewed dengue-related KAP studies that were identified, 15 published from 2000 to April 2020 met the inclusion criteria. Based on the meta-analysis, a poor mean score was obtained for each of knowledge (68.89), attitude (49.86) and preventive practice (64.69). Most respondents were equipped with a good knowledge of the major clinical signs of dengue. Worryingly, 95% of respondents showed several negative attitudes towards dengue prevention, claiming that this was not possible and that enacting preventive practices was not their responsibility. Interestingly, television or radio was claimed as the main source of gaining dengue information (range 50–95%). Lastly, only five articles (33.3%) piloted or pretested their questionnaire before surveying, of which three reported Cronbach’s alpha coefficient (range 0.70 to 0.90). Conclusion This review indicates that to combat the growing public health threat of dengue to the Philippines, we need the active participation of resident communities, full engagement of healthcare personnel, promotion of awareness campaigns, and access to safe complementary and alternative medicines. Importantly, the psychometric properties of each questionnaire should be assessed rigorously.

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“…In disease studies, populations, places, and times are the fundamentals of disease outbreak investigations [32]. Therefore, to reduce/eradicate the DF-associated risks, it is imperative to improve the spatial and temporal understanding of such diseases so that appropriate plans could be designed in advance for future vigilance [33][34][35][36][37][38][39]. In this context, huge investments in the health sector are being made by national and sub-national governments [40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

Naqvi

Sajjad

Waseem

et al. 2021

IJERPH

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The spatial–temporal assessment of vector diseases is imperative to design effective action plans and establish preventive strategies. Therefore, such assessments have potential public health planning-related implications. In this context, we here propose an integrated spatial disease evaluation (I-SpaDE) framework. The I-SpaDE integrates various techniques such as the Kernel Density Estimation, the Optimized Hot Spot Analysis, space–time assessment and prediction, and the Geographically Weighted Regression (GWR). It makes it possible to systematically assess the disease concentrations, patterns/trends, clustering, prediction dynamics, and spatially varying relationships between disease and different associated factors. To demonstrate the applicability and effectiveness of the I-SpaDE, we apply it in the second largest city of Pakistan, namely Lahore, using Dengue Fever (DF) during 2007–2016 as an example vector disease. The most significant clustering is evident during the years 2007–2008, 2010–2011, 2013, and 2016. Mostly, the clusters are found within the city’s central functional area. The prediction analysis shows an inclination of DF distribution from less to more urbanized areas. The results from the GWR show that among various socio-ecological factors, the temperature is the most significantly associated with the DF followed by vegetation and built-up area. While the results are important to understand the DF situation in the study area and have useful implications for public health planning, the proposed framework is flexible, replicable, and robust to be utilized in other similar regions, particularly in developing countries in the tropics and sub-tropics.

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Spatial and temporal patterns of dengue incidence in Bhutan: a Bayesian analysis

Cited by 22 publications

References 50 publications

Clinical features and outcomes of COVID-19 and dengue co-infection: a systematic review

Clinical features and outcomes of COVID-19 and dengue co-infection: a systematic review

Different domains of dengue research in the Philippines: A systematic review and meta-analysis of questionnaire-based studies

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

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