- Research article
- Open Access
- Open Peer Review
This article has Open Peer Review reports available.
Emergence of chikungunya seropositivity in healthy Malaysian adults residing in outbreak-free locations: Chikungunya seroprevalence results from the Malaysian Cohort
© Azami et al.; licensee BioMed Central Ltd. 2013
Received: 9 July 2012
Accepted: 28 January 2013
Published: 5 February 2013
In 1998, Malaysia experienced its first chikungunya virus (CHIKV) outbreak in the suburban areas followed by another two in 2006 (rural areas) and 2008 (urban areas), respectively. Nevertheless, there is still a lack of documented data regarding the magnitude of CHIKV exposure in the Malaysian population. The aim of this study was to determine the extent of chikungunya virus infection in healthy Malaysian adults residing in outbreak-free locations.
A cross sectional study of chikungunya (CHIK) seroprevalence was carried out in 2009 amongst The Malaysian Cohort participants living in four states (Kuala Lumpur, Selangor, Pahang and Negeri Sembilan). A total of 945 participants were randomly identified for the study. Potential risk factors for CHIK infection were determined via questionnaires, and IgG antibodies against CHIK were detected by an enzyme-linked immunosorbent assay. Logistic regression identified risk factors associated with CHIK seropositivity, while geographical information system was used for visual and spatial analysis.
From the 945 serum samples tested, 5.9% was positive for CHIK IgG. Being male, Malay, rural occupancy and Negeri Sembilan residency were identified as univariate predictors for CHIK seropositivity, while multivariate analysis identified being male and rural occupancy as risk factors.
This study provided evidence that CHIK is slowly emerging in Malaysia. Although the current baseline seroprevalence is low in this country, increasing number of CHIK cases reported to the Malaysia Ministry of Health imply the possibility of CHIK virus becoming endemic in Malaysia.
The Chikungunya virus (CHIKV) is a mosquito-borne virus of genus Alphavirus in the Togaviridae family which causes an acute viral infection characterized by fever, polyarthralgia, headache, and myalgia [1, 2]. The name Chikungunya (CHIK) came from a Makonde language, which means ‘that which bend up’, describing the distinctive severity of joint pains due to CHIK infection . Aedes (Ae.) albopictus and Ae. aegypti are the common vectors for this virus, and they are found both in rural and urban areas . CHIK infections are usually initiated by bites of infected mosquitoes, from where CHIK fever develops after a 1–12 day incubation period . Symptoms are usually self-limiting but could persist till day 10, although there were cases where the arthralgia and arthritis persist many months onwards . Older patients continue to suffer joint pains and recurrent effusions for several years.
There are 3 genotypes of CHIK viruses namely the: West African, Asian, and Central/East African (which caused a worldwide outbreak in 2005) types. They are usually endemic in sub-Saharan Africa, India, Southeast Asia, Indonesia and Philippines [6, 7]. The first outbreak of CHIK was reported in Mokande Plateau, Tanzania, where the virus was first isolated, and it later re-emerged in the Indian Ocean in 2005 [4, 6, 8]. The first appearance of CHIK in Southeast Asia was reported by Hammon; where it was isolated during the dengue and dengue hemorrhagic outbreak in Bangkok, Thailand, in 1960 .
Malaysia, with a population of approximately 28.3 million and a population density of 86 per square kilometre, has continuously recorded rising annual cases of CHIK infection since the first outbreak in this country in 1998 . Nevertheless, national CHIK seroprevalence data is still lacking. Outbreaks of CHIK infection have been reported in Port Klang (1998), Bagan Pachor (2006), Ipoh, Perak (2006) and Johor (2008) [7, 10, 11]. High vector abundance and immigrant influx from endemic countries might have caused the outbreaks . In the 1998 outbreak, females and those of Indian ethnicity were among those highly affected with a seroprevalence of 76.5% and 72.5%, respectively . In the year 2008, 8320 patients with clinical diagnosis of CHIK were referred to the National Public Health Laboratory for laboratory confirmation and 3870 patients (46.5%) were positive .
To determine the extent and magnitude of CHIK infection in Malaysia, we conducted a pilot cross-sectional CHIK IgG seroepidemiology study beyond CHIK outbreak periods in healthy Malaysian adults living in the states of Pahang, Kuala Lumpur, Selangor and Negeri Sembilan of West Malaysia. The above states have not recorded any CHIK outbreaks before (Note: Port Klang is located at the western tip of Selangor, nevertheless in our current study, no samples from this area have been included). Geographic information system (GIS) was used to investigate whether seropositivities for CHIK were clustered within study areas.
Participants in this study were from The Malaysian Cohort (TMC) project which is a national project managed by our research institute (UKM Medical Molecular Biology Institute). This project was initiated in 2006 to recruit at least 100,000 Malaysians aged 35 and above, where these participants represent various ethnic groups, geographical locations and lifestyles. The TMC is a long term prospective study conducted to investigate the effects of gene, environment and lifestyle interactions in causing diseases. The project aims to identify risk factors and to discover new biomarkers for various diseases. Detailed information about each participant is collected along with blood, serum, plasma, lymphocytes and urine samples. All participants were without any acute illness during the time of sample collection and consented towards the storage and usage of their samples for medical and epidemiological research. Universiti Kebangsaan Malaysia Research Ethics Committee (UKMREC) had granted the ethical approval for TMC towards the use of human samples in this study.
Sampling and sample size
Blood samples (10 ml) were collected in Vacutainer® tubes (Becton Dickinson, Franklin Lakes, NJ), processed within 12 hours and stored at -80°C. Serum samples were measured for the presence of IgG antibodies to CHIK using NovaLisa Chikungunya Virus IgG capture ELISA kit (NovaTecImmundiagnostica GmbH, Germany). A positive result of CHIK IgG indicates previous exposure to CHIKV. Interpretation of ELISA results were done according to instructions from the manufacturer.
Data analysis was performed using Statistical Package for Social Science (SPSS) 16.0 software (SPSS Inc., Chicago, USA). Differences in seropositivity between genders, age groups, states, ethnicities and localities were calculated by Chi-square tests and a p value of <0.05 was considered statistically significant. Logistic regression using the likelihood ratio method was used to identify risk factors associated with positive CHIK IgG. Statistically significant risk factors identified in the univariate analysis (p<0.05) were then included into the multivariate analysis. Odd ratios and their 95% confidence intervals were provided as estimates of the effect size and the test was conducted at 5% level of significance.
To map CHIK prevalence, spatial location (coordinate) of each participant was first identified using Google Earth software (Google Inc. CA, USA). All coordinates were synchronized using World Geodetic System (WGS 84) which serves the (x, y) of an object by longitude and latitude, respectively. Spatial distribution and analyses of the CHIK seroprevalence were then managed and examined using ArcView GIS software version 9.3.1 (Environmental System Research Institute, Inc., Redland, CA). To describe CHIK distribution patterns, point pattern analysis using ‘Average Nearest Neighbour’ (ANN) tool of the software was used to determine the existence of significant clusters in the study area . ANN measures the distance of each feature centriod and its neighbouring centriod locations, and calculates the average of entire “nearest neighbour distances”. The distribution is considered clustered if the average distance is less than the average of a hypothetical random distribution (R<1). However, if the average distance is greater, the distribution is considered as dispersed (R>1). Random distribution pattern is indicated by R =1.
Characteristics and CHIK seropositivity of the 945 study participants
CHIK IgG seropositive
Chi square analysis
Median Age, y (Range)
Indian & others
Risk factor assessments
Logistic regression to identify risk factors for CHIK seropositivity*
Indian & Others
Cross tabulation between gender and locality
CHIK IgG seropositive#
Locality vs. Gender
Geographical information system (GIS) analysis
Malaysia has a longer history of arbovirus surveillance compared to other Southeast Asian countries . Nevertheless, as CHIK clinically resembles classical dengue fever, it is often misdiagnosed as dengue in dengue endemic countries like Malaysia . Several dengue and haemorrhagic dengue epidemics have been reported in the 1970’s in Malaysia; however, no case of CHIK infection was reported during the same period [14, 15].
Malaysia experienced its first CHIK outbreak in late 1998 which involved only the suburban community of Klang . Seven years later, another outbreak emerged in a north-western coastal town of Perak, followed by outbreaks in Johor in 2008 [7, 10–12]. Interestingly, our current cross sectional seroprevalence study conducted in CHIK outbreak-free locations of four West Malaysia states (Pahang, Selangor, Kuala Lumpur and Negeri Sembilan) showed that 5.9% of the study population has been exposed to CHIK infection. Nevertheless, this seroprevalence rate is still low compared to studies done in another location in Southeast Asia, which is the sub-district Bausasran located in the province of Yogjakarta. Similar to Malaysia, Bausasran recorded little to no CHIK seroprevalence . However, in 1999, 33% of the study participants from Bausasran were reported to be CHIK IgG seropositive . Yogjakarta itself experienced a few series of CHIK outbreak since 1983–1984, with the attack rate was estimated 70% -90% . In 1999, cases of CHIK infection were reported at the Javanese city . Results from the Yogjakarta and our studies imply that, although CHIK infections seemed comparatively lower in prevalence compared to dengue in Southeast Asia (such as 91.6% in Malaysia and 45% in Singapore among the adult population and 65.7% among the school children in Vietnam), sporadic outbreaks with high attack rates could still occur in this region [17–19]. Taking it all together, routine CHIK surveillance and vector control should be given due consideration in Southeast Asia and regions having tropical/sub-tropical weather that promotes the spread of CHIK vectors, to minimize and prevent the occurrence of outbreaks.
In our study, CHIK seroprevalence was found to increase with age, however the increase was not statistically significant (p= 0.078). Nevertheless, this finding is consistent with the results of a previous study in Emilia-Romagna Region (Italy) and Lamu (Kenya), where CHIK seroprevalence was found to be higher in older people [20, 21]. The study in Yogjakarta also reported a similar pattern, where majority of the CHIK seropositives were found in individuals aged 15 years old and above .
As mentioned in the introduction, during the 1998 CHIK outbreak in Malaysia, females were reported to be highly affected with CHIK virus infection (76.5%) . However in this study, males were found to have higher CHIK IgG seroprevalence of 8.51% (32/376), compared to 2.54% (24/569) for females, with a male:female odds ratio of 2.26: 1.00 (95% CI 1.299- 3.938) after adjustment for locality. In Mayotte, an archipelago located in the Indian Ocean, men also had higher CHIK seroprevalence compared to women, though the seroprevalence for both genders were much higher than that of our study (40.6% for men, 33.8% for women) . An investigation carried out in neighbouring Comoros Island had contrasting results: they found that women were 1.7 times more likely to be infected compared to men . The inconsistency of these findings might be related to specific behaviours, work places and community habits which were different between the two island nations in the Indian Ocean and possibly also in other countries where CHIK seroprevalence was investigated .
Our study showed that rural areas recorded higher CHIK IgG seroprevalence (10.36%) compared to the urban communities (2.86%). A serological study carried out in 1980 found that Malays who were living in rural areas had higher seroprevalence of CHIK antibodies, and monkeys were suggested to be important vertebrate hosts . Our study also showed that participants who live in rural areas were 4.09 times (95% CI 2.246- 7.439) more likely to be CHIK IgG positive compared to those living in urban locations after adjusting for gender. Men who stay at rural areas had higher CHIK seroprevalence (15.06%) compared to urban males (4.35%). This phenomena might be due to the fact that most of our rural participants live in palm oil plantation settlements, in which the male participants would have a higher risk to be exposed to CHIK vectors due to plantation activities compared to urbanites. Nevertheless, about 2.86% of the urban population were found to be CHIK IgG positive in this study, even though a serological survey in 1980 had reported a complete absence of CHIK antibodies in urban Malaysian children and young adults . In addition, prior to the 1998 outbreak, there was no evidence of CHIKV transmission in the urban areas of Malaysia .
GIS analysis showed clustering of CHIK IgG seropositivity in a few districts of Negeri Sembilan. All these clusters were situated in rural areas (palm oil plantation areas), where some local transmission might have occurred within the clusters. Nevertheless, the definite reason for the occurrence of these clusters in previously outbreak-free areas could not be determined in this study. We postulate that immigrant workers might have introduced CHIKV into these areas, as there were about 2 million migrant workers in Malaysia originating from neighbouring countries, including those in which CHIKV was endemic, in 2001 . It is difficult to gauge the time CHIK emerged in this country due to the high dengue seroendemicity in its population, where misdiagnosis and under-reporting of CHIK infections were common due to mild hemorrhagic manifestations that have been described for both infections particularly among cases in Southeast Asia [6, 17]. Human migration is also one of the plausible reasons to explain the emergence of CHIK in outbreak-free locations. Given the ease of transportation, populations from both outbreak and outbreak-free areas have become more mobile. Study participants from outbreak-free locations could have travelled to outbreak areas during the occurrence of the outbreaks and hence acquired CHIK infection. This is compounded by the fact that Malaysia is situated within contour lines of January and July isotherms, where CHIK vectors Ae. aegypti and Ae. albopictus mosquitoes survive and breed throughout the year, where constant transmission and exposure to the vector could facilitate the spreading of CHIKV.
This study has a few limitations. Data presented here was only a one-year data collected from Jan-Dec 2008 at CHIK outbreak-free locations, thus it does not represent the total prevalence rate of CHIK infection in Malaysia. Nevertheless, the results show that CHIKV is emerging in Malaysia, which necessitates prevention programmes in outbreak-free locations to prevent another major CHIKV outbreak. Our study also lacks human migration data which could help determine the cause and emergence of CHIK seropositive clusters in outbreak-free areas.
Due to the lack of validated ELISA assays for CHIK, positive ELISA results might be due to the presence of antibodies towards either CHIKV or O’nyong-nyong virus (ONNV), as both viruses belong to same genus and are highly related . However, as ONNV has never been isolated in Malaysia, positive ELISA results obtained in this study are more likely to be caused by CHIK IgG instead of O’nyong-nyong IgG .
In conclusion, 5.9% of the Malaysian population residing in CHIK outbreak-free locations have been exposed to this virus. Although the current seroprevalence is low in this country, the increasing number of CHIK cases reported to the Ministry of Health of Malaysia implies the possibility of CHIKV becoming endemic in Malaysia. High vector abundance and improved modes of transportation could facilitate movement of viremic individuals from one place to another, spreading the virus to new locations. In addition, further influx of migrant workers from CHIK endemic countries could also potentiate widespread CHIK infections in the Malaysian population. Prevention programs such as public health education and vector control strategies will be of crucial importance to prevent future CHIK outbreaks.
We wish to thank Mrs Darna Zainuddin of Serology Unit, Department of Medical Microbiology and Immunology for her technical advice in this study. We also would like to express our gratitude to Mr Arman Kamaruddin, Mr Yusof Sulaiman, Mrs Nurul Aishah Ramli and Ms Juita Amirah Hussin for providing the GIS raw data. We thank the biospecimen unit of The Malaysian Cohort for their help in retrieving the samples.
- Hochedez P, Jaureguiberry S, Debruyne M, Bossi P, Hausfater P, Brucker G, Bricaire F, Caumes E: Chikungunya infection in travelers. Emerg Infect Dis. 2006, 12: 1565-1567. 10.3201/eid1210.060495.View ArticlePubMedPubMed CentralGoogle Scholar
- Kannan M, Rajendran R, Sunish IP, Balasubramaniam R, Arunachalam N, Paramsivan R, Tewari SC, Samuel PP, Tyagi BK: A study on chikungunya outbreak during 2007 in Kerala, south India. Indian J Med Res. 2009, 129: 311-315.PubMedGoogle Scholar
- Robinson MC: An epidemic of a dengue-like fever in the southern province of Tanganyika. Cent Afr J Med. 1956, 2: 394-396.PubMedGoogle Scholar
- Pialoux G, Gauzere BA, Jaureguiberry S, Strobel M: Chikungunya, an epidemic arbovirosis. Lancet Infect Dis. 2007, 7: 319-327. 10.1016/S1473-3099(07)70107-X.View ArticlePubMedGoogle Scholar
- Laras K, Sukri NC, Larasati RP, Bangs MJ, Kosim R, Djauzi-Wandra T, Master J, Kosasih H, Hartati S: Tracking the re-emergence of epidemic chikungunya virus in Indonesia. Trans R Soc Trop Med Hyg. 2005, 128: 141-Google Scholar
- Powers AM, Logue CH: Changing patterns of chikungunya virus: re-emergence of a zoonotic arbovirus. J Gen Virol. 2007, 88: 2363-2377. 10.1099/vir.0.82858-0.View ArticlePubMedGoogle Scholar
- AbuBakar S, Sam IC, Wong PF, MatRahim N, Hooi PS, Roslan N: Reemergence of endemic Chikungunya Malaysia. Emerg Infect Dis. 2007, 13: 147-149. 10.3201/eid1301.060617.View ArticlePubMedPubMed CentralGoogle Scholar
- Ross RW: The Newala epidemic. III. The virus: isolation, pathogenic properties and relationship to the epidemic. J Hyg (Lond). 1956, 54: 177-191. 10.1017/S0022172400044442.View ArticleGoogle Scholar
- Hammon WM, Rundnick A, Sather GE: Viruses Associated with Epidemic Hemorrhagic Fevers of the Philippines and Thailand. Science. 1960, 131: 1102-1103. 10.1126/science.131.3407.1102.View ArticlePubMedGoogle Scholar
- Lam SK, Chua KB, Hooi PS, Rahimah MA, Kumari S, Tharmaratnam M, Chuah SK, Smith DW, Sampson IA: Chikungunya infection–an emerging disease in Malaysia. Southeast Asian J Trop Med Public Health. 2001, 32: 447-451.PubMedGoogle Scholar
- Chew LP, Chua HH: Outbreak of chikungunya in Johor Bahru, Malaysia: clinical and laboratory features of hospitalized patients. Med J Malaysia. 2009, 64: 220-222.PubMedGoogle Scholar
- Chua KB: Epidemiology of chikungunya in Malaysia: 2006–2009. Med J Malaysia. 2010, 65: 277-282.PubMedGoogle Scholar
- Aziz S, Ngui R, Lim YA, Sholehah I, Nur Farhana J, Azizan AS, Wan Yusoff WS: Spatial pattern of 2009 dengue distribution in Kuala Lumpur using GIS application. Trop Biomed. 2012, 29: 113-120.PubMedGoogle Scholar
- Rao TR: Immunological surveys of arbovirus infections in South-East Asia, with special reference to dengue, chikungunya, and Kyasanur Forest disease. Bull World Health Organ. 1971, 44: 585-591.PubMedPubMed CentralGoogle Scholar
- Rudnick A, Tan EE, Lucas JK, Omar MB: Mosquito-Borne Haemorrhagic Fever in Malaya. Br Med J. 1965, 1: 1269-1272. 10.1136/bmj.1.5445.1269.View ArticlePubMedPubMed CentralGoogle Scholar
- Porter KR, Tan R, Istary Y, Suharyono W, Sutaryo-Widjaja S, Ma’Roef C, Listiyaningsih E, Kosasih H, Hueston L: A serological study of Chikungunya virus transmission in Yogyakarta, Indonesia: evidence for the first outbreak since 1982. Southeast Asian J Trop Med Public Health. 2004, 35: 408-415.PubMedGoogle Scholar
- Muhammad Azami NA, Salleh SA, Neoh H-m, Syed Zakaria SZ, Jamal R: Dengue epidemic in Malaysia: Not a predominantly urban disease anymore. BMC Research Notes. 2011, 4: 216-10.1186/1756-0500-4-216.View ArticlePubMedPubMed CentralGoogle Scholar
- Wilder-Smith A, Foo W, Earnest A, Sremulanathan S, Paton NI: Seroepidemiology of dengue in the adult population of Singapore. Trop Med Int Health. 2004, 9: 305-308. 10.1046/j.1365-3156.2003.01177.x.View ArticlePubMedGoogle Scholar
- Thai KT, Binh TQ, Giao PT, Phuong HL, Hung-Le Q, Van-Nam N, Nga TT, Groen J, Nagelkerke N, De-Vries PJ: Seroprevalence of dengue antibodies, annual incidence and risk factors among children in southern Vietnam. Trop Med Int Health. 2005, 10: 379-386. 10.1111/j.1365-3156.2005.01388.x.View ArticlePubMedGoogle Scholar
- Moro ML, Gagliotti C, Silvi G, Angelini R, Sambri V, Rezza G, Massimiliani E, Mattivi A, Grilli E, Finarelli AC: Chikungunya Virus in North-Eastern Italy: A Seroprevalence Survey. Am J Trop Med Hyg. 2010, 82: 508-511. 10.4269/ajtmh.2010.09-0322.View ArticlePubMedPubMed CentralGoogle Scholar
- Sergon K, Njuguna C, Kalani R, Ofula V, Onyango C, Konongoi LS, Bedno S, Burke H, Dumilla AM, Konde J: Seroprevalence of Chikungunya virus (CHIKV) infection on Lamu Island, Kenya, October. Am J Trop Med Hyg. 2008, 78: 333-337.PubMedGoogle Scholar
- Sissoko D, Moendandze A, Malvy D, Giry C, Ezzedine K, Solet JL, Pierre V: Seroprevalence and Risk Factors of Chikungunya Virus Infection in Mayotte, Indian Ocean, 2005–2006: A Population-Based Survey. PLoS One. 2008, 3: e3066-10.1371/journal.pone.0003066.View ArticlePubMedPubMed CentralGoogle Scholar
- Sergon K, Yahaya AA, Brown J, Bedja SA, Mlindasse M, Agata N, Allaranger Y, Ball MD, Powers AM, Ofula V: Seroprevalence of Chikungunya virus infection on Grande Comore Island, union of the Comoros, 2005. Am J Trop Med Hyg. 2007, 76: 1189-1193.PubMedGoogle Scholar
- Marchette NJ, Rudnick A, Garcia R: Alphaviruses in Peninsular Malaysia: II Serological evidence of human infection. Southeast Asian J Trop Med Public Health. 1980, 11: 14-23.PubMedGoogle Scholar
- Mease L, Coldren R, Musila L, Prosser T, Ogolla F, Ofula V, Schoepp R, Rossi C, Adungo N: Seroprevalence and distribution of arboviral infections among rural Kenyan adults: A cross-sectional study. Virol J. 2011, 8: 371-10.1186/1743-422X-8-371.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2334/13/67/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.