Trends in dengue research in the Philippines: A systematic review

Agrupis, Kristal An; Ylade, Michelle; Aldaba, Josephine G.; Lopez, Anna Lena; Deen, Jacqueline

doi:10.1371/journal.pntd.0007280

Cited by 20 publications

(20 citation statements)

References 80 publications

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“…This dominance of adult dengue infection is distinct from that of child dengue in several hyperendemic areas. Several dengue endemic countries (such as the Philippines, Thailand, Malaysia, and Indonesia) have reported DF prevalence to be predominant in children aged <15 years (Agrupis et al, 2019;Anderson et al, 2007;Sasmono et al, 2018). In recent years, some countries such as Cuba, Puerto Rico, Singapore, and Bangladesh have reported cases of adult DHF, but older adults have only accounted for a small number of DHF cases in these countries (Lee et al, 2008;Lin et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

A clinical and epidemiological survey of the largest dengue outbreak in Southern Taiwan in 2015

Wang

Lin

Chang

et al. 2019

International Journal of Infectious Diseases

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This study examined the epidemiological, clinical, and immunological characteristics of the 2015 dengue outbreak in Taiwan. Methods: Clinical data were collected from dengue fever (DF) and dengue hemorrhagic fever (DHF) patients. A phylogenetic tree was used to analyze the source of the outbreak strain. Paired plasma samples from DF/DHF patients were used for antibody-dependent enhancement (ADE) assay and cytokine multiplex biometric immunoassay to validate the immunological mechanism. Results: This outbreak mainly occurred in two of the southern cities of Taiwan: Tainan (n = 22 777; 52%) and Kaohsiung (n = 19 784; 45%). A high DHF death rate was noted (34.6%). The case (DHF) and control (DF) study indicated that older age (>60 years), type II diabetes, and hypertension were risk factors correlated with the development of DHF (p < 0.0001). The phylogenetic tree results suggested that the outbreak-associated strain was dengue virus serotype 2 and cosmopolitan genotype, forming a stable cluster with the isolates from Thailand and Indonesia (bootstrap value of 99%). Cytokine analyses demonstrated that levels of interleukin (IL)-6, IL-4, IL-13, IL-1β, interferon gamma (IFN-g), and granulocyte-macrophage colony-stimulating factor (GM-CSF) were significantly higher in DHF patients compared to DF patients (p < 0.001). The ADE assay showed that diluted plasma containing preexisting dengue antibodies from DHF patients significantly enhanced dengue infection (p < 0.05). Conclusion: The results suggest that older age, type II diabetes, hypertension, immunological cytokine dysregulation, and preexisting dengue antibodies inducing ADE infection are correlated with dengue severity. This study also indicates that the largest dengue outbreak in Taiwan might have been a result of imported DF from dengue epidemic regions.

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Section: Discussionmentioning

confidence: 99%

A clinical and epidemiological survey of the largest dengue outbreak in Southern Taiwan in 2015

Wang

Lin

Chang

et al. 2019

International Journal of Infectious Diseases

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“…The type and coverage of solid waste management is therefore expected to be a good predictor of vector abundance, although geographically detailed information on such a topic in the study region is scarcely available. Also, we note that using climatic averages to compute vector exposure is another important limitation of [45], as dengue incidence is known to follow seasonal patterns in the Philippines [35, 37]. However, extensive research as been conducted already on the topic [34, 40, 74] and a time-dependent exposure is easily implementable within the current framework, enabling real-time monitoring or even forecasts of the risk index throughout the year.…”

Section: Discussionmentioning

confidence: 99%

“…Reliable risk estimates of dengue are needed in the Philippines to allow guided allocation of preventive measures and targeted outbreak containment [33, 36]. Research on dengue in the Philippines has focused on modeling techniques, with the goal of either describing past disease dynamics or to predict future ones [34, 37–40]. While such models could provide estimates of (future) morbidity, which is a key ure to inform epidemic response and preparedness programs, they suffer one or more of the following limitations: relying on detailed clinical and/or entomological data, which is rarely available, and not discussing potential health outcomes, e.g.…”

Section: Introductionmentioning

confidence: 99%

Constructing and validating a transferable epidemic risk index in data scarce environments using open data: a case study for dengue in the Philippines

Hierink

Margutti²,

Homberg³

et al. 2021

Preprint

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Epidemics are among the most costly and destructive natural hazards globally. To reduce the impacts of infectious disease outbreaks, the development of a risk index for infectious diseases can be effective, by shifting infectious disease control from emergency response to early detection and prevention. In this study, we introduce a methodology to construct and validate an epidemic risk index using only open data, with a specific focus on scalability. The external validation of our risk index makes use of distance sampling to correct for underreporting of infections, which is often a major source of biases, based on geographical accessibility to health facilities. We apply this methodology to assess the risk of dengue in the Philippines. The results show that the computed dengue risk correlates well with standard epidemiological metrics, i.e. dengue incidence (p = 0.002). Here, dengue risk constitutes of the two dimensions susceptibility and exposure. Susceptibility was particularly associated with dengue incidence (p = 0.047) and dengue case fatality rate (CFR) (p= 0.029). Exposure had lower correlations to dengue incidence (p = 0.211) and CFR (p = 0.163). Highest risk indices were seen in the south of the country, mainly among regions with relatively high susceptibility to dengue outbreaks. Our findings reflect that the modelled epidemic risk index is a strong indication of sub-national dengue disease patterns and has therefore proven suitability for disease risk assessments in the absence of timely epidemiological data. The presented methodology enables the construction of a practical, evidence-based tool to support public health and humanitarian decision making processes with simple, understandable metrics. The index overcomes the main limitations of existing indices in terms of construction and actionability.

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“…The data extracted were summarized and compiled using google sheets, wherein the data was categorized into author, date publication, the primary location of the study, study duration, research theme, and identified public health challenges. The research theme categories of the articles were identified based on the excerpts from the objectives and results of the Trends in Dengue Research in the Philippines by Agrupis et al (2019). Joint discussions were also conducted to discuss each article and its extracted data and decide whether the data extracted is correct, sufficient, and representative.…”

Section: Data Extractionmentioning

confidence: 99%

Systematic review on the current Public Health Challenges for Dengue Transmission Control and Prevention in the Philippines

Vera¹,

Cachola²,

Magsino³

et al. 2021

IJRP

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The dengue virus is a flavivirus endemic in over 100 countries, in which Southeast Asian countries are greatly affected due to the evident lack in public health intervention and laboratory resources. In 2019, the Philippines was able to observe a sudden increase in dengue cases, declaring a state of epidemic. The government then proposed several measures to address the sudden rise of dengue, which showed a significant decrease in dengue deaths during the first half of 2020, but dengue still remains a cause of concern given the uncertainty of possible future epidemics. Therefore, a systematic review was conducted according to the PRISMA 2020 guidelines using journals and articles published between Jan 1, 2015 and Dec 31, 2020 from Science direct, PubMed, HERDIN, Western Pacific Surveillance and Response (WPSAR), and Taylor and Francis Journal under the search strings "Dengue in the Philippines'' and "Dengue prevention and control in the Philippines". The risk of bias was assessed using phase 2 and 3 of the ROBIS tool. A total of 19 articles identifying factors that influence public health interventions were included. Vector elimination and control (e.g., 4s strategy) through community participation has been the main focus of the current dengue prevention programs in the country, but these programs are presented with limitations. Various challenges and recommendations from different literatures were identified, but all consistently show the need for accurate identification and representation of dengue prevalence and burden to avoid higher overall healthcare costs, better involvement of the government and healthcare providers in information dissemination, advocacies with emphasis on behavioral change programs, and further research and development of a cost-effective, efficient, and less complex diagnostic method. It was therefore concluded that understanding the prevention and control of dengue in the Philippines would involve an elaborate public health investigation and review of several different factors aside from its viral mechanisms and pathogenesis, and that several aspects originating from individual behavior and practices of people up until coordination of LGUs, communities, and National-level agencies including coordinated budget allocations must all be aligned to efficiently lessen the prevalence of dengue. Research limitations encountered included the exclusive use of electronic databases and free/accessible published articles that inhibited the review's capability to include "grey literature", as well as the inability to have a registered protocol due to time constraints. An expansion in the criteria, databases used, and type of literature, along with the further exploring of each individual factor identified is recommended for future research.

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Trends in dengue research in the Philippines: A systematic review

Cited by 20 publications

References 80 publications

A clinical and epidemiological survey of the largest dengue outbreak in Southern Taiwan in 2015

A clinical and epidemiological survey of the largest dengue outbreak in Southern Taiwan in 2015

Constructing and validating a transferable epidemic risk index in data scarce environments using open data: a case study for dengue in the Philippines

Systematic review on the current Public Health Challenges for Dengue Transmission Control and Prevention in the Philippines

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