Skip to main content

ORIGINAL RESEARCH article

Front. Public Health, 12 February 2020
Sec. Infectious Diseases – Surveillance, Prevention and Treatment
This article is part of the Research Topic Emerging and Re-emerging Vector-borne and Zoonotic Diseases View all 10 articles

Key Findings and Comparisons From Analogous Case-Cluster Studies for Dengue Virus Infection Conducted in Machala, Ecuador, and Kamphaeng Phet, Thailand

\nKathryn B. Anderson,,,
Kathryn B. Anderson1,2,3,4*Anna M. Stewart-Ibarra,Anna M. Stewart-Ibarra1,5Darunee BuddhariDarunee Buddhari2Efrain Felix Beltran AyalaEfrain Felix Beltran Ayala6Rachel J. Sippy,Rachel J. Sippy1,7Sopon IamsirithawornSopon Iamsirithaworn8Sadie J. Ryan,
Sadie J. Ryan7,9*Stefan FernandezStefan Fernandez2Richard G. JarmanRichard G. Jarman10Stephen J. Thomas,,Stephen J. Thomas1,3,4Timothy P. Endy,,Timothy P. Endy1,3,4
  • 1Department of Medicine, SUNY Upstate Medical University, Syracuse, NY, United States
  • 2Armed Forces Research Institute of Medical Science, Bangkok, Thailand
  • 3Department of Microbiology and Immunology, SUNY Upstate Medical University, Syracuse, NY, United States
  • 4Institute for Global Health and Translational Science, SUNY Upstate Medical University, Syracuse, NY, United States
  • 5Department of Montevideo, Inter-American Institute for Global Change Research (IAI), Montevideo, Uruguay
  • 6Carrera de Medicina de la Universidad Técnica de Machala, Machala, Ecuador
  • 7Department of Geography, University of Florida, Gainesville, FL, United States
  • 8Ministry of Public Health (Thailand), Nonthaburi, Thailand
  • 9Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
  • 10Walter Reed Army Institute of Research, Silver Spring, MD, United States

Dengue viruses (DENV) pose a significant and increasing threat to human health across broad regions of the globe. Currently, prevention, control, and treatment strategies are limited. Promising interventions are on the horizon, including multiple vaccine candidates under development and a renewed and innovative focus on controlling the vector, Aedes aegypti. However, significant gaps persist in our understanding of the similarities and differences in DENV epidemiology across regions of potential implementation and evaluation. In this manuscript, we highlight and compare findings from two analogous cluster-based studies for DENV transmission and pathogenesis conducted in Thailand and Ecuador to identify key features and questions for further pursuit. Despite a remarkably similar incidence of DENV infection among enrolled neighborhood contacts at the two sites, we note a higher occurrence of secondary infection and severe illness in Thailand compared to Ecuador. A higher force of infection in Thailand, defined as the incidence of infection among susceptible individuals, is suggested by the higher number of captured Aedes mosquitoes per household, the increasing proportion of asymptomatic infections with advancing age, and the high proportion of infections identified as secondary-type infections by serology. These observations should be confirmed in long-term, parallel prospective cohort studies conducted across regions, which would advantageously permit characterization of baseline immune status (susceptibility) and contemporaneous assessment of risks and risk factors for dengue illness.

Introduction

Infection with dengue viruses (DENV) is responsible for a significant burden of disease across tropical and subtropical regions of the globe. However, the history and epidemiology of DENV clearly differ between Asia and the Americas. Asia has been hyperendemic for all four DENV serotypes for decades and consistently demonstrates one of the highest burdens of dengue-related disease in the world (1). In contrast, in the Americas, following the abandonment of successful mosquito control programs in the 1960s, DENV serotypes were sequentially reintroduced into circulation. In Ecuador, DENV re-emerged in 1988, co-circulation of all four DENV serotypes was documented in 2000, and the first cases of severe dengue were seen in 2001 (2, 3).

The nature and extent of differences in DENV transmission intensity and clinical manifestations of disease between Asia and the Americas remain poorly understood. Observational cohort studies conducted in multiple regions of the globe have contributed significantly to our understanding of DENV transmission and pathogenesis (47), however, differences in study-specific aims and methodologies have largely precluded direct comparisons across regions. Limited regionally-comparative analyses of DENV seroprevalence (8) and mean ages of infection (9) suggest that the force of infection (incidence among susceptible individuals) may be higher, on average, in Asia than in the Americas. Relatedly, presumed higher levels of susceptibility to DENV serotypes in the Americas compared to Asia may indicate the potential for DENV epidemics for more explosive epidemics of greater magnitude in the Americas.

There is currently no licensed antiviral for DENV infection and the only DENV vaccine currently licensed for use in multiple countries has recently generated safety concerns due to an increased risk of hospitalized illness observed in DENV-naïve vaccine recipients (10). Currently-available vector control measures have been ineffective in stopping the transmission of Aedes-transmitted pathogens (including DENV) (11), however, pioneering methods of innovative vector control such as the field release of Wolbachia-infected Aedes mosquitoes (12) and transgenic mosquitoes (13) offer promise. The effective evaluation and implementation of novel DENV vaccines and vector control measures would benefit from an improved understanding of the similarities and differences in DENV transmission and pathogenesis across continents.

Multiple recent epidemics of DENV and other arboviruses spread by Aedes vectors across diverse regions of the globe underscore the urgent need to better understand the patterns and drivers of arboviral disease transmission in order to prepare for the epidemics to come. In this manuscript, we summarize and contrast findings from two analogous cluster investigation studies conducted in Machala, Ecuador, and Kamphaeng Phet, Thailand, to highlight possible distinguishing features in DENV epidemiology between the two regions and to identify important avenues for future research.

Materials and Methods

Summary

Analogous case-cluster surveillance studies were conducted in Kamphaeng Phet (KPP), Thailand, from 2009 to 2012, and Machala, Ecuador, from 2014 to 2015. Both studies utilized enhanced passive surveillance to identify and recruit patients with suspected dengue illnesses presenting to local participating clinics and hospitals (Figure 1). Subsequent confirmation of a DENV infection prompted the further study of individuals residing within and around the home of the infected individual. Active surveillance was then used to identify symptomatic and asymptomatic infections occurring within enrolled neighborhood contacts. The detailed methods for both studies have been published previously (14, 15). Detailed comparisons of the surveillance and diagnostic methods are presented in the text below and Table 1.

FIGURE 1
www.frontiersin.org

Figure 1. Summary of study activities for the Thai and Ecuadorian studies.

TABLE 1
www.frontiersin.org

Table 1. Study-specific methods in KPP, Thailand, and Machala, Ecuador.

Study Sites

Kamphaeng Phet province is located in northern Thailand, with a moderately dense urban center (Muang) surrounded by agricultural zones. Machala is the capital of El Oro province, located in southern coastal Ecuador; the town is densely populated and surrounded by agriculture and aquaculture areas. The study sites are comparable in total population, elevation, gross domestic product (GDP), and the co-circulation of all four DENV types (Table 2). Both regions experience the co-circulation of multiple other arboviruses in addition to DENV. Chikungunya virus (CHIKV) emerged in Ecuador at the end of 2014, and the first confirmed instances of autochthonous Zika virus (ZIKV) transmission in Ecuador were reported in January 2016 (15). Neither ZIKV nor CHIKV were known to be in circulation in northern Thailand at the time of the study, however there is increasing evidence for long-standing endemicity of ZIKV in the region (19). Both regions practice routine immunization of pediatric populations for non-DENV flaviviruses: Japanese encephalitis vaccine (JEV) is part of the Expanded Program on Immunization (EPI) in Thailand, with rates of coverage estimated to be 92% or higher (20), and yellow fever vaccine (YFV) vaccine is part of the EPI in Ecuador, with rates of coverage approaching 80% in certain high-risk areas (21).

TABLE 2
www.frontiersin.org

Table 2. Comparison of key features of the field sites in Muang Kamphaeng Phet (KPP), Thailand, and Machala, Ecuador.

Definitions

Initiates are individuals who presented to participating clinical sites with suspected dengue illnesses, who were subsequently confirmed to have DENV infection. A subset of Initiates were randomly selected for participation in community-based cluster investigations. Associates are individuals residing within the Initiate's household or within a 200-m radius of the Initiate's household, who met study-specific enrollment criteria. Together, the Associate homes plus the Initiate's home made up a cluster.

Recruitment and Surveillance of Initiates

• Thailand. Initiates were recruited from among individuals admitted to the public referral hospital, Kamphaeng Phet Provincial Hospital (KPPPH) with suspected dengue infection. Inclusion criteria were: age >6 months and blood drawn and RT-PCR performed to confirm DENV infection within 24 h of hospital admission. Acute and convalescent blood specimens were collected on enrollment and 15 (±5 days) thereafter.

• Ecuador. Initiates were recruited from among inpatients and outpatients presenting to four clinics operated by the Ministry of Health and the associated public referral hospital, Teófilo Dávila Hospital. Inclusion criteria were: age ≥6 months and a clinical diagnosis of suspected dengue. Acute blood specimens were collected on enrollment. A maximum of 4 Initiates were randomly selected each week to initiate cluster investigations.

Recruitment and Surveillance of Associates

• Thailand. All individuals aged >6 months residing within the Initiate's household were invited to enroll. Further, all homes located within a 200-m radius of the Initiate's household were visited by the study team. If anyone in a given household reported fever within the previous 7 days, all residents of that household aged >6 months were invited to participate in the study, to a maximum to 25 Associates enrolled per cluster. Blood specimens were collected on the day of enrollment (“day 0”) and roughly 15 ± 5 days thereafter. If an Associate developed fever during the 15-day follow-up period, a second acute blood specimen was drawn and the period of follow-up shifted by an additional 15 days for that individual. Adult Aedes mosquitoes were collected from all homes within 200 m of the Initiate home using backpack aspirators.

• Ecuador. All individuals aged ≥6 months residing within the Initiate's household were invited to enroll. Further, all individuals aged ≥6 months and residing in households located in the cardinal directions from the Initiate household at a maximum distance of 200-m were invited to enroll. Thus, there was an imposed limit of five households per cluster (the Initiate's home, plus one home each located to the north, south, east, and west). Blood specimens were collected on the day of enrollment only (“day 0”). Adult Aedes mosquitoes were collected from the five enrolled homes (the Initiate's home and the four neighboring homes) using backpack aspirators.

• Geospatial data collection. For both sites, the locations (latitude, longitude) of all Initiate homes and all homes within 200-m of the Initiate home were recorded using handheld GPS devices.

Laboratory Diagnostics

• Thailand. DENV RT-PCR and DENV and JEV IgM/IgG ELISA were used to identify DENV infections occurring in Initiates and Associates. The nested RT-PCR method described by Lanciotti et al. was used to detect DENV RNA and to identify the infecting serotype (16). AFRIMS in-house IgM and IgG ELISAs were used to serologically diagnose DENV infections and to discern DENV and JEV as described previously (18). RT-PCR and IgM/IgG ELISA were performed on the day 0 and 15 specimens for all enrolled Associates.

• Ecuador. DENV NS1 rapid strip tests (PanBio Dengue Early Rapid Test) were used to identify confirmed DENV infections (Initiates) from among ill patients at clinical sites. Qualitative real-time RT-PCR assays for DENV1-4 were performed as per the CDC DENV1-4 Real Time RT-PCR Assay (CDC, Catalog number KK0128) (17). Commercial ELISA kits (PanBio) were used to detect DENV IgM (Dengue Capture IgM) and IgG (Dengue Capture IgG). All Initiates and Associates from Ecuador also underwent testing for ZIKV and CHIKV by RT-PCR; these results have been previously presented and are not discussed here (15).

Classification of DENV Infections

• Thailand. For the purposes of this analysis an acute or recent DENV infection in an Associate was defined as: (1) detection of DENV RNA in a specimen collected at any time point (e.g., from the day 0 and 15 visits as well as acute specimens collected in the setting of incident fever), or (2) detection of DENV IgM in any specimen, or (3) DENV IgM not detected but DENV IgG >100 and rising (acute infection) or decreasing (recent infection) in paired specimens. A primary infection was defined as an IgM/IgG ratio ≥1.8, a secondary infection as a ratio <1.8. A symptomatic DENV infection was defined as (1) an acute laboratory-confirmed DENV infection plus (2) the presence of one or more classical dengue symptom/s (e.g., fever, headache, muscle/joint pain, retro-orbital pain, abdominal pain, drowsiness/lethargy, rash). Clinical data were collected for Initiates and Associates during the day 0 and 15 visits, as well as during unscheduled visits prompted by reported fever, inquiring about any current and recent symptoms since the last study visit. An asymptomatic DENV infection was defined as (1) an acute laboratory-confirmed DENV infection plus (2) the absence of all of these symptoms during the entire period of follow-up (typically 15 ± 5 days).

• Ecuador. An acute DENV infection in an Associate was defined as the detection of DENV RNA by RT-PCR in the enrollment specimen (only a single specimen collected). A recent infection was defined as the detection of IgM in the enrollment specimen (and RT-PCR negative). A primary infection was defined as an IgM/IgG ratio ≥1.8, a secondary infection as a ratio <1.8. A symptomatic DENV infection was defined as (1) an acute laboratory-confirmed DENV infection plus (2) the presence of one or more classical dengue symptom/s (e.g., fever, headache, muscle/joint pain, retro-orbital pain, abdominal pain, drowsiness/lethargy, rash). Clinical data were collected for Associates at the time of enrollment only and reflected symptoms present at the time of enrollment or at any point during the preceding 7 days. An asymptomatic DENV infection was defined as (1) an acute laboratory-confirmed DENV infection plus (2) the absence of all of these symptoms at the time of interview and during the preceding 7 days.

Ethics Statement

For the Ecuador study, the protocol was reviewed and approval by Institutional Review Boards (IRBs) at SUNY Upstate Medical University, the Human Research Protection Office (HRPO) of the U.S. Department of Defense, the Luis Vernaza Hospital in Guayaquil, Ecuador, and the Ecuadorean Ministry of Health. For the Thai study, the protocol was approved by the IRBs of the Thai Ministry of Public Health (MOPH), Walter Reed Army Institute of Research (WRAIR, protocol number 1526), and SUNY Upstate Medical University. The IRBs of the University of California, Davis (UCD), University of Rhode Island (URI), and University at Buffalo established relying agreements with WRAIR IRB. Prior to the start of the study, all participants engaged in a written informed consent or assent process as previously described (14, 15).

Results

Characteristics of Enrolled Initiates and Associates

Three hundred twenty-three Initiates were enrolled in Thailand between November 2009 and November 2012 (Table 3), with enrollment thus capturing three peak periods for DENV transmission (i.e., the rainy season), which variably reaches its maximum in July-August and wanes in October–November each year. Forty-four Initiates were enrolled in Ecuador between January 2014 and June 2015, with enrollment thus spanning two peak periods for DENV transmission, which typically reaches its maximum in March-May and wanes in June–July each year (22). All four DENV serotypes were detected in Initiates in Thailand, during the study period, while only DENV-1 and DENV-2 were detected among Initiates in Ecuador. 26.4% of Initiates in Ecuador were RT-PCR negative, with DENV infection confirmed by NS1 rapid test or NS1 ELISA. The median ages of Initiates in Ecuador and Thailand were similar (16 and 14.5 years, respectively). Only 1.9% of Initiates in Thailand had primary DENV infections by serology vs. 25.0% in Ecuador. By definition, 100% of Initiates were derived from hospitalized illnesses in Thailand, while 25.0% were hospitalized in Ecuador.

TABLE 3
www.frontiersin.org

Table 3. Features of Initiates in Thailand and Ecuador.

One thousand two hundred forty-two Associates were enrolled in Thailand and 384 in Ecuador, with a median of 3 and 8 Associates per Initiate in each country, respectively (Table 4). Overall, relatively few Associates reported a history of JEV (in Thailand) or YFV vaccination (in Ecuador); however, 96.1% of Thai children (aged <18 years) reported a history of JEV vaccination and 19.6% of Ecuadorian children reported a history of YFV vaccination. Three hundred three Associates in Thailand (24.3%) and 96 in Ecuador (25.0%) were confirmed to have acute or recent DENV infection. Eliminating the results from the convalescent blood draw from the Thailand data (e.g., forcing a mirroring of study methods for the two sites by considering only the diagnostics testing results from the enrollment specimen), the number of infected Associates detected in the Thai study decreased to 202 (data not shown). Thus, extending the surveillance period by 15 days and incorporating a convalescent blood draw increased the detection of DENV infections in Associates by 33% (from 202 to 303 infections).

TABLE 4
www.frontiersin.org

Table 4. Features of enrolled Associates in Thailand and Ecuador.

In Thailand, the DENV serotype detected in Associates matched the Initiate's serotype 94.0% of the time. In contrast, concordance was only 66.7% in Ecuador (i.e., one in three Associates were infected with a different serotype than the Initiate for that cluster). The clear majority of DENV infections in Associates in Thailand and Ecuador were symptomatic (defined as the report of any symptom within 7 days of enrollment through the 15-day follow-up for Thailand and within the past 7 days from enrollment for Ecuador). The mean number of Aedes females per home was higher in Thailand than in Ecuador (p = 0.034 by Mann Whitney U-test); for both sites, albeit non-significantly, the number of mosquitoes captured was higher in Associate homes with identified DENV infections than in those without DENV infections (p > 0.05 for both comparisons). In Thailand, the largest number of Associates was enrolled in the age group comprising children aged 0–10 years (Figure 2). In Ecuador, the largest age group enrolled comprised individuals aged 11–20 years.

FIGURE 2
www.frontiersin.org

Figure 2. Histogram of ages of enrolled Associates in Thailand (orange) and Ecuador (blue).

Characteristics of DENV Infections in Associates

The highest infection rates among Associates for both Thailand and Ecuador were observed in the age group 11–20 years (Figure 3). The rates were roughly similar but generally higher for Ecuador than for Thailand. Incidence rate decreased with age at both sites.

FIGURE 3
www.frontiersin.org

Figure 3. Proportion of Associates confirmed to have DENV infection, by age and study site. Thailand is shown in orange and Ecuador in blue. Error bars reflect the 95% confidence intervals for the proportions.

The proportion of DENV infections that were primary by serology (EIA) was much higher in Ecuador than in Thailand overall (Figure 4). In the age group 0–10 years, 80.0% of DENV infections were primary in Ecuador, vs. 17.1% in Thailand. In Ecuador, the proportion of infections that were primary generally decreased with age, while in Thailand the proportion remained relatively level between 0 and 20%.

FIGURE 4
www.frontiersin.org

Figure 4. Proportion of DENV-infected Associates found to have primary DENV infection (by ELISA), by age and study site. Thailand is shown in orange and Ecuador in blue. Error bars reflect the 95% confidence intervals for the proportions.

Children were more likely to experience symptomatic infection in Thailand as compared to Ecuador (Figure 5). The proportion of DENV infections that were asymptomatic increased steadily with age in Thailand, while in Ecuador the proportion asymptomatic remained relatively level between 15 and 40%.

FIGURE 5
www.frontiersin.org

Figure 5. Proportion of DENV-infected Associates with asymptomatic infection (i.e., denying any of the solicited symptoms) by age and study site. Thailand is shown in orange and Ecuador in blue. Error bars reflect the 95% confidence intervals for the proportions.

Symptoms of DENV Infection in Associates

In Thailand, children were more likely than adults to report fever, headache, upper respiratory symptoms (rhinorrhea, cough), and abdominal symptoms (pain, nausea/vomiting) (Table 5). Children were also more likely to be hospitalized. Individuals experiencing a secondary DENV infection were more likely to be hospitalized and to demonstrate all symptoms solicited (significant for headache, anorexia, nausea/vomiting, drowsiness, muscle/joint pain, and abdominal pain). Children experiencing secondary infection reported the highest frequency of symptoms, notably with 82.9% reporting fever and 25.6% becoming hospitalized.

TABLE 5
www.frontiersin.org

Table 5. Symptoms reported by enrolled Associates by age (adult = age ≥ 18 years, child = age ≤ 18 years), among those with symptomatic infections (defined as the presence of any solicited symptom) in Thailand.

In Ecuador, children experiencing DENV infection were more likely than adults to report rash, and adults were more likely than children to report muscle and joint pain (Table 6). Symptoms were more common in Associates experiencing secondary DENV infections. In Ecuador, most symptoms were more common in Associates experiencing secondary DENV infections although there was limited power to detect significant associations given low numbers. Rash was more common in children experiencing primary DENV infection.

TABLE 6
www.frontiersin.org

Table 6. Symptoms reported by enrolled Associates by age (adult = age ≥ 18 years, child = age ≤ 18 years), among those with symptomatic infections (defined as the presence of any solicited symptom) in Ecuador.

Discussion

DENV pose a significant and increasing threat to human health across broad regions of the globe. Counter measures to prevent human exposure to infected Aedes mosquitoes and to prevent illness, once exposed, are urgently needed. With promising interventions on the horizon, including multiple vaccine candidates under development (23) and a renewed and innovative focus on the vector, Aedes aegypti (12, 13), there persist significant gaps in our understanding of the similarities and differences in DENV epidemiology across regions of potential implementation and evaluation. In this manuscript, we highlight and compare findings from two analogous cluster-based studies for DENV transmission and pathogenesis conducted in Thailand and Ecuador to identify key features and questions for further pursuit.

The incidence of DENV infection among Associates was remarkably similar across age groups in both countries. Applying the same definition to the Thai Associates as to the Ecuadorian Associates (i.e., based upon the enrollment specimen only), the incidence rate in Ecuador was at least 33% higher. This is somewhat surprising, given prior estimates suggesting a higher transmission intensity in Asia than in the Americas (8, 9). Multiple possible explanations exist for this. First, the incidence of DENV has been shown to vary significantly in time and space (24). The studies were conducted at different time points and for relatively short intervals and thus infection rates by country may be confounded by year. Further, the clinical severity and transmissibility of DENV has been demonstrated to vary by serotype (2527). Second, the underlying susceptibility of the Associate populations is not known, by nature of the study design (i.e., cluster investigations based upon the identification of a DENV infection in a neighbor). If the Thai Associates had a higher level of pre-existing DENV immunity, a similar or even lower incidence may still reflect a high force of infection (see hypothetical illustration in Figure 6). This distinction is important, because the force of infection directly translates to the risk experienced by DENV-naïve subjects visiting or born into an area as well as the level of coverage needed by interventions to decrease transmission.

FIGURE 6
www.frontiersin.org

Figure 6. Hypothetical illustration of the possible relationships between underlying susceptibility to DENV, observed incidence, and force of infection.

Interestingly, intra-cluster concordance of DENV serotypes between Initiates and Associates was only 67% in Ecuador, as compared to 94% in Thailand. This focal, concurrent micro-circulation of multiple serotypes has not, to our knowledge, been documented previously. Potential explanations for this finding may include: greater population-level immunological bottle necks for serotype co-circulation in Thailand, resulting from many decades of hyperendemic transmission, differences in human movement patterns, and/or differences in the spatial scale or hot-spots for transmission between the two sites. Long-term, parallel prospective cohort studies conducted across regions would contribute significantly to our understanding of DENV epidemiology, permitting characterization of baseline immune status (susceptibility), shifts in DENV serotypes and genotypes over time, and diverse risk factors for DENV infection and dengue illness.

The incidence of symptomatic DENV infection among Associates for both studies was much higher than has been reported in previous prospective cohort studies, at 25 and 33% for Thailand and Ecuador, respectively (7, 28) This may reflect recall bias, wherein individuals enrolled in cluster studies are more likely to notice and report even minor symptoms given that a neighbor has recently been diagnosed with a DENV infection. It is also possible that the enrollment of ill Initiates at their point of entry into the healthcare system imposes a sampling bias, selecting for more severe DENV serotypes, genotypes, and/or strains with an increased ability to infect and cause disease in Associates. Finally, it should be noted that the case definition for “symptomatic infection” applied in this analysis is more sensitive than the definition applied in some other studies. For example, prior analyses from KPP have required the presence of fever to define symptomatic illness, a symptom reported by 89% of DENV-infected Thai Associates with any clinical symptoms and only 24% of symptomatic, DENV-infected Ecuadorian Associates in the current analyses. This suggests that using fever as the sole criterion for “symptomatic infection” in field studies for DENV may result in the misclassification of potentially large numbers of ill subjects as “asymptomatic.” Interestingly, the incidence of asymptomatic DENV infection increased with age in Thailand but remained relatively flat in Ecuador; this may reflect a higher force of infection for DENV in Thailand, with accumulated cross-protective immunity through multiple DENV exposures over time.

The clinical severity and manifestations of DENV infection in Associates differed between Thailand and Ecuador. 21.5% of children and 7.9% of adults enrolled as Associates in Thailand were hospitalized with dengue illnesses, as compared to 0% in Ecuador. This may reflect the greater occurrence of secondary DENV infection in Thai children, for whom rates of hospitalization were 25.6% and for whom most clinical symptoms were also more common (fever, headache, abdominal symptoms, etc.). Other possibilities for the greater clinical severity in Thailand include differences in the virulence of circulating DENV between regions and/or differences in study design, given that Thai Associate households were enrolled on the basis of reported fever and Ecuadorian households simply on the basis of their location relative to the Initiate house. Region-specific differences in patterns of care-seeking and criteria for hospitalization likely exist and may bias our comparisons; for example, individuals in Thailand may have been less likely to seek care for milder dengue illnesses as compared to individuals in Ecuador, and/or more likely to be hospitalized for a given clinical presentation. It is likely that human immunogenetic differences influence the clinical outcome to DENV infection and will differ across populations (29). Finally, undetected parasitic co-infections may play a role in modulating the immune response and thus the clinical outcome of DENV infection (30); for example, it is possible (but currently untested) that helminthic infections are more common in Ecuador than in Thailand and/or other parasitic co-infections such as Trypanosoma cruzi in the Americas may shape the clinical outcome of DENV infection.

The proportion of DENV infections identified as primary by DENV serology was much lower among similarly aged children in Thailand compared to Ecuador. This is presumably a reflection of the high rates of coverage for JEV vaccination in Thai children, manifesting as an anamnestic, secondary-type response to primary DENV infection. YFV and JEV are both well-known to cross-react with DENV in serological assays. Prior analyses from KPP suggest that prior JEV immunity may predispose toward symptomatic DENV infection (31); the potential for YFV to shape the clinical outcome of DENV infection is unknown. Potential differences in the force of infection for ZIKV between the Americas and Asia remain poorly understood, though there is increasing evidence that ZIKV has been endemic in Thailand, possibly at low levels, for decades (19). Serological cross-reactivity between DENV and ZIKV currently complicates the reliability of serologically-confirming infections due to either virus (32), however, assays promising improved specificity are in development and under validation (33, 34). Future studies should seek to further clarify the potential for exposure (natural or vaccine-derived) to a range of non-DENV flaviviruses to modulate the clinical and immunological outcomes of DENV infection; this knowledge will have particular relevance when evaluating the immunogenicity and efficacy of DENV vaccines across regions.

In addition to addressing the questions above, long-term, parallel prospective cohort studies would allow valuable characterization of larger patterns in DENV transmission across regions. The average age of DENV infection has been increasing in Thailand and other parts of Asia, indicating a decreased force of infection possibly due to a demographic transition toward an older population (35, 36). While Thailand has had all four DENV serotype in circulation for many decades, DENV is re-emerging in the Americas, and Ecuador became hyperendemic for all four serotypes as recently as 2000. It is, therefore, conceivable that Thailand may represent the future for Ecuador with regards to long-standing hyperendemic DENV transmission, and Ecuador, in turn, the future for areas that are currently DENV-naïve or low-endemicity but at risk for DENV introduction or expansion with climate change.

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author and with completion of appropriate regulatory requirements.

Ethics Statement

The studies involving human participants were reviewed and approved by for the Ecuador study, the protocol was reviewed and approval by Institutional Review Boards (IRBs) at SUNY Upstate Medical University, the Human Research Protection Office (HRPO) of the U.S. Department of Defense, the Luis Vernaza Hospital in Guayaquil, Ecuador, and the Ecuadorean Ministry of Health. For the Thai study, the protocol was approved by the IRBs of the Thai Ministry of Public Health (MOPH), Walter Reed Army Institute of Research (WRAIR), and SUNY Upstate Medical University. The IRBs of the University of California, Davis (UCD), University of Rhode Island (URI), and University at Buffalo established relying agreements with WRAIR IRB. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author Contributions

KA and AS-I performed the comparative analyses and drafted the manuscript. AS-I, EB, SR, and TE participated in the design, conduct, and analysis of the field study in Ecuador. DB, ST, RJ, and TE participated in the design and conduct of the field study in Thailand. TE was the PI for the NIH-funded R01 that provided support for the Thai study. SI provided support and guidance from the Thai Ministry of Public Health. SF provided support for the current analysis of the Thai data as current head of the department of virology, AFRIMS. All authors contributed to manuscript revision, read, and approved the submitted version.

Funding

The Thai research study presented here was funded by an R01 award from the National Institutes of Health (PI: TE, GM83224-01A1). This Ecuadorian research study was supported, in part, by the Department of Defense Global Emerging Infection Surveillance (GEIS) grant (P0220_13_OT) and the Department of Medicine of SUNY Upstate Medical University. AS-I and SR were additionally supported by NSF DEB EEID 1518681 and NSF DEB RAPID 1641145.

Disclaimer

Material has been reviewed by the Walter Reed Army Institute of Research. There is no objection to its presentation and/or publication. The opinions or assertions contained herein are the private views of the author, and are not to be construed as official, or as reflecting true views of the Department of the Army or the Department of Defense. The investigators have adhered to the policies for protection of human subjects as prescribed in AR 70–25.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature. (2013) 496:504–7. doi: 10.1038/nature12060

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Alava A, Mosquera C, Vargas W, Real J. Dengue en el Ecuador 1989-2002. Rev Ecuat Hig Med Trop. (2005) 42:11–34.

Google Scholar

3. Gutierrez E, Real J, Alava A, Mosquera C. Epidemia de Dengue Hemorragico en el Ecuador, 2003. Rev. Ecuat. Hig. Med. Trop. (2005) 42:35–49.

Google Scholar

4. Endy TP, Chunsuttiwat S, Nisalak A, Libraty DH, Green S, Rothman AL, et al. Epidemiology of inapparent and symptomatic acute dengue virus infection: a prospective study of primary school children in Kamphaeng Phet, Thailand. Am J Epidemiol. (2002) 156:40–51. doi: 10.1093/aje/kwf005

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Rocha C, Morrison AC, Forshey BM, Blair PJ, Olson JG, Stancil JD, et al. Comparison of two active surveillance programs for the detection of clinical dengue cases in Iquitos, Peru. Am J Trop Med Hyg. (2009) 80:656–60. doi: 10.4269/ajtmh.2009.80.656

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Alera MT, Srikiatkhachorn A, Velasco JM, Tac-An IA, Lago CB, Clapham HE, et al. Incidence of dengue virus infection in adults and children in a prospective longitudinal cohort in the Philippines. PLoS Negl Trop Dis. (2016) 10:e0004337. doi: 10.1371/journal.pntd.0004337

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Gordon A, Kuan G, Mercado JC, Gresh L, Aviles W, Balmaseda A, et al. The Nicaraguan pediatric dengue cohort study: incidence of inapparent and symptomatic dengue virus infections, 2004-2010. PLoS Negl Trop Dis. (2013) 7:e2462. doi: 10.1371/journal.pntd.0002462

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Imai N, Dorigatti I, Cauchemez S, Ferguson NM. Estimating dengue transmission intensity from sero-prevalence surveys in multiple countries. PLoS Negl Trop Dis. (2015) 9:e0003719. doi: 10.1371/journal.pntd.0003719

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Imai N, Dorigatti I, Cauchemez S, Ferguson NM. Estimating dengue transmission intensity from case-notification data from multiple countries. PLoS Negl Trop Dis. (2016) 10:e0004833. doi: 10.1371/journal.pntd.0004833

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Sridhar S, Luedtke A, Langevin E, Zhu M, Bonaparte M, Machabert T, et al. Effect of dengue serostatus on dengue vaccine safety and efficacy. N Engl J Med. (2018) 379:327–40. doi: 10.1056/NEJMoa1800820

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Ooi EE, Goh KT, Gubler DJ. Dengue prevention and 35 years of vector control in Singapore. Emerg Infect Dis. (2006) 12:887–93. doi: 10.3201/eid1206.051210

PubMed Abstract | CrossRef Full Text | Google Scholar

12. O'Neill SL, Ryan PA, Turley AP, Wilson G, Retzki K, Iturbe-Ormaetxe I, et al. Scaled deployment of Wolbachia to protect the community from dengue and other Aedes transmitted arboviruses. Gates Open Res. (2018) 2:36. doi: 10.12688/gatesopenres.12844.1

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Carvalho DO, McKemey AR, Garziera L, Lacroix R, Donnelly CA, Alphey L, et al. Suppression of a field population of Aedes aegypti in Brazil by sustained release of transgenic male mosquitoes. PLoS Negl Trop Dis. (2015) 9:e0003864. doi: 10.1371/journal.pntd.0003864

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Thomas SJ, Aldstadt J, Jarman RG, Buddhari D, Yoon IK, Richardson JH, et al. Improving dengue virus capture rates in humans and vectors in Kamphaeng Phet Province, Thailand, using an enhanced spatiotemporal surveillance strategy. Am J Trop Med Hyg. (2015) 93:24–32. doi: 10.4269/ajtmh.14-0242

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Stewart-Ibarra AM, Ryan SJ, Kenneson A, King CA, Abbott M, Barbachano-Guerrero A, et al. The burden of dengue fever and chikungunya in southern coastal ecuador: epidemiology, clinical presentation, and phylogenetics from the first two years of a prospective study. Am J Trop Med Hyg. (2018) 98:1444–59. doi: 10.4269/ajtmh.17-0762

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Lanciotti RS, Calisher CH, Gubler DJ, Chang GJ, Vorndam AV. Rapid detection and typing of dengue viruses from clinical samples by using reverse transcriptase-polymerase chain reaction. J Clin Microbiol. (1992) 30:545–51. doi: 10.1128/JCM.30.3.545-551.1992

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Santiago GA, Vergne E, Quiles Y, Cosme J, Vazquez J, Medina JF, et al. Analytical and clinical performance of the CDC real time RT-PCR assay for detection and typing of dengue virus. PLoS Negl Trop Dis. (2013) 7:e2311. doi: 10.1371/annotation/ae27d48b-025f-47ce-8427-4af59f821ad7

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Innis BL, Nisalak A, Nimmannitya S, Kusalerdchariya S, Chongswasdi V, Suntayakorn S, et al. An enzyme-linked immunosorbent assay to characterize dengue infections where dengue and Japanese encephalitis co-circulate. Am J Trop Med Hyg. (1989) 40:418–27. doi: 10.4269/ajtmh.1989.40.418

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Ruchusatsawat K, Wongjaroen P, Posanacharoen A, Rodriguez-Barraquer I, Sangkitporn S, Cummings DAT, et al. Long-term circulation of Zika virus in Thailand: an observational study. Lancet Infect Dis. (2019) 19:439–46. doi: 10.1016/S1473-3099(18)30718-7

PubMed Abstract | CrossRef Full Text | Google Scholar

20. World Health Organization. WHO Vaccine-Preventable Diseases: Monitoring System. 2019 Global Summary (2019).

Google Scholar

21. World Health Organization. Ecuador: WHO and UNICEF Estimates of Immunization Coverage: 2018 Revision (2018).

Google Scholar

22. Sippy R, Herrera D, Gaus D, Gangnon RE, Patz JA, Osorio JE. Seasonal patterns of dengue fever in rural Ecuador: 2009-2016. PLoS Negl Trop Dis. (2019) 13:e0007360. doi: 10.1371/journal.pntd.0007360

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Halstead SB, Dans LF. Dengue infection and advances in dengue vaccines for children. Lancet Child Adolesc Health. (2019). doi: 10.1016/S2352-4642(19)30205-6

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Endy TP, Nisalak A, Chunsuttiwat S, Libraty DH, Green S, Rothman AL, et al. Spatial and temporal circulation of dengue virus serotypes: a prospective study of primary school children in Kamphaeng Phet, Thailand. Am J Epidemiol. (2002) 156:52–9. doi: 10.1093/aje/kwf006

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Fried JR, Gibbons RV, Kalayanarooj S, Thomas SJ, Srikiatkhachorn A, Yoon IK, et al. Serotype-specific differences in the risk of dengue hemorrhagic fever: an analysis of data collected in Bangkok, Thailand from 1994 to 2006. PLoS Negl Trop Dis. (2010) 4:e617. doi: 10.1371/journal.pntd.0000617

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Yung CF, Lee KS, Thein TL, Tan LK, Gan VC, Wong JG, et al. Dengue serotype-specific differences in clinical manifestation, laboratory parameters and risk of severe disease in adults, singapore. Am J Trop Med Hyg. (2015) 92:999–1005. doi: 10.4269/ajtmh.14-0628

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Reiner RC Jr, Stoddard ST, Forshey BM, King AA, Ellis AM, Lloyd AL, et al. Time-varying, serotype-specific force of infection of dengue virus. Proc Natl Acad Sci USA. (2014) 111:E2694–702. doi: 10.1073/pnas.1314933111

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Endy TP, Anderson KB, Nisalak A, Yoon IK, Green S, Rothman AL, et al. Determinants of inapparent and symptomatic dengue infection in a prospective study of primary school children in Kamphaeng Phet, Thailand. PLoS Negl Trop Dis. (2011) 5:e975. doi: 10.1371/journal.pntd.0000975

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Xavier-Carvalho C, Cardoso CC, de Souza Kehdy F, Pacheco AG, Moraes MO. Host genetics and dengue fever. Infect Genet Evol. (2017) 56:99–110. doi: 10.1016/j.meegid.2017.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kamal SM, El Sayed Khalifa K. Immune modulation by helminthic infections: worms and viral infections. Parasite Immunol. (2006) 28:483–96. doi: 10.1111/j.1365-3024.2006.00909.x

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Anderson KB, Gibbons RV, Thomas SJ, Rothman AL, Nisalak A, Berkelman RL, et al. Preexisting Japanese encephalitis virus neutralizing antibodies and increased symptomatic dengue illness in a school-based cohort in Thailand. PLoS Negl Trop Dis. (2011) 5:e1311. doi: 10.1371/journal.pntd.0001311

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lanciotti RS, Kosoy OL, Laven JJ, Velez JO, Lambert AJ, Johnson AJ, et al. Genetic and serologic properties of Zika virus associated with an epidemic, Yap State, Micronesia, 2007. Emerg Infect Dis. (2008) 14:1232–9. doi: 10.3201/eid1408.080287

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Balmaseda A, Stettler K, Medialdea-Carrera R, Collado D, Jin X, Zambrana JV, et al. Antibody-based assay discriminates Zika virus infection from other flaviviruses. Proc Natl Acad Sci USA. (2017) 114:8384–9. doi: 10.1073/pnas.1704984114

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tsai WY, Youn HH, Tyson J, Brites C, Tsai JJ, Pedroso C, et al. Use of urea wash ELISA to distinguish Zika and dengue virus infections. Emerg Infect Dis. (2018) 24:1355–9. doi: 10.3201/eid2407.171170

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Cummings DA, Iamsirithaworn S, Lessler JT, McDermott A, Prasanthong R, Nisalak A, et al. The impact of the demographic transition on dengue in Thailand: insights from a statistical analysis and mathematical modeling. PLoS Med. (2009) 6:e1000139. doi: 10.1371/journal.pmed.1000139

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Egger JR, Ooi EE, Kelly DW, Woolhouse ME, Davies CR, Coleman PG. Reconstructing historical changes in the force of infection of dengue fever in Singapore: implications for surveillance and control. Bull World Health Org. (2008) 86:187–96. doi: 10.2471/BLT.07.040170

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: dengue, epidemiology, observational study, Thailand, Ecuador

Citation: Anderson KB, Stewart-Ibarra AM, Buddhari D, Beltran Ayala EF, Sippy RJ, Iamsirithaworn S, Ryan SJ, Fernandez S, Jarman RG, Thomas SJ and Endy TP (2020) Key Findings and Comparisons From Analogous Case-Cluster Studies for Dengue Virus Infection Conducted in Machala, Ecuador, and Kamphaeng Phet, Thailand. Front. Public Health 8:2. doi: 10.3389/fpubh.2020.00002

Received: 27 August 2019; Accepted: 03 January 2020;
Published: 12 February 2020.

Edited by:

Matthew H. Collins, Emory University, United States

Reviewed by:

SriSowmya Sanisetty, Harvard Medical School Boston, United States
William Messer, Oregon Health & Science University, United States

Copyright © 2020 Anderson, Stewart-Ibarra, Buddhari, Beltran Ayala, Sippy, Iamsirithaworn, Ryan, Fernandez, Jarman, Thomas and Endy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kathryn B. Anderson, andekath@upstate.edu; Sadie J. Ryan, sjryan@ufl.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.