A study of the 2006 Chikungunya epidemic outbreak in Mauritius

Ramchurn, S. K.; Goorah, S S; Mungla, D; Ramsurrun, B; Pydiah, V; Summun, A

doi:10.4314/ijmu.v3i1.39855

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…albopictus populations, 30,31 and the sensitivity of CHIKV vector populations to climatic conditions 32 (with similar studies elsewhere on the response of Aedes africanus and Aedes furcifer populations, vectors of yellow fever, to climatic and environmental conditions 33 ). Other studies have considered the role of temperature and rainfall on CHIKV transmission, [34][35][36] as well as the risk of CHIKV infection in DENVendemic regions. 37 Using mathematical models to assess the impact of interventions against CHIKV has also attracted increasing attention, with the need to explicitly account for the role of climatic variables highlighted 38 and important policy-decisions, such as whether the early combination of chemical imagicide spraying and active reduction of the number of breeding sites may have controlled the 2006 La Réunion epidemic, 39 considered.…”

Section: Modelling Climatic and Environmental Influences On Chikv Tramentioning

confidence: 99%

The role of environmental variables onAedes albopictusbiology and chikungunya epidemiology

Waldock

Chandra

Lelieveld

et al. 2013

Pathogens and Global Health

162

171

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Aedes albopictus is a vector of dengue and chikungunya viruses in the field, along with around 24 additional arboviruses under laboratory conditions. As an invasive mosquito species, Ae. albopictus has been expanding in geographical range over the past 20 years, although the poleward extent of mosquito populations is limited by winter temperatures. Nonetheless, population densities depend on environmental conditions and since global climate change projections indicate increasing temperatures and altered patterns of rainfall, geographic distributions of previously tropical mosquito species may change. Although mathematical models can provide explanatory insight into observed patterns of disease prevalence in terms of epidemiological and entomological processes, understanding how environmental variables affect transmission is possible only with reliable model parameterisation, which, in turn, is obtained only through a thorough understanding of the relationship between mosquito biology and environmental variables. Thus, in order to assess the impact of climate change on mosquito population distribution and regions threatened by vector-borne disease, a detailed understanding (through a synthesis of current knowledge) of the relationship between climate, mosquito biology, and disease transmission is required, but this process has not yet been undertaken for Ae. albopictus. In this review, the impact of temperature, rainfall, and relative humidity on Ae. albopictus development and survival are considered. Existing Ae. albopictus populations across Europe are mapped with current climatic conditions, considering whether estimates of climatic cutoffs for Ae. albopictus are accurate, and suggesting that environmental thresholds must be calibrated according to the scale and resolution of climate model outputs and mosquito presence data.

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Section: Modelling Climatic and Environmental Influences On Chikv Tramentioning

confidence: 99%

The role of environmental variables onAedes albopictusbiology and chikungunya epidemiology

Waldock

Chandra

Lelieveld

et al. 2013

Pathogens and Global Health

162

171

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“…The mosquito-borne viral disease Chikungunya has affected more than 1 million people worldwide in epidemic outbreaks since 2005 which seem to have originated in the Kenyan coastal towns of Lamu and Mombasa [2]. Outbreaks of Chikungunya fever was also reported from Italy [3,4] Mauritius [5,6,7] and from reunion island Josseran et al 2006. From February 2006 to 10 October 2006, the WHO Regional Office for South-East Asia reported 151 districts in 8 states/provinces of India affected by Chikungunya fever.…”

Section: Introductionmentioning

confidence: 99%

Brief Epidemiological Report on Chikungunya Outbreak in Bihar, India in 2017: Implications for Control

Mishra¹,

Mishra

2019

AJRID

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Aims: The present study was done to identify the epidemiology of the disease outbreak in Bihar in 2017 and suggest remedial measures for the prevention of possible future outbreaks of Chikungunya. Study Design: Daily reports on Chikungunya were collected in prescribed format from the District Surveillance Unit, Integrated Disease Surveillance Programme (IDSP) that included case details from Govt. Medical Colleges and various Private Hospitals in the State. Place and Duration of Study: Index case of Chikungunya was reported in Bihar, India on 15 Feb 2017. After that, few scattered cases were reported till 23 Aug 2017. Cases started increasing from 24 Aug 2017 onwards. From 15 Feb till 31 Dec 2017, total 1223 cases were reported from 32 districts in Bihar. Methodology: The cases were analysed concerning time, place and person. Daily reporting on the health conditions of the cases and the status of the control measures like fogging and larvicidal spray in the affected area was monitored at the State level. Results: Case Fatality Rate (CFR) due to the disease was Nil in the State. The outbreak peak laid from 3-Nov to 12-Nov when 218 cases were reported. Out of 1223 cases, 100% cases were ELISA confirmed. Almost all age groups were affected, but the frequency was greater in the age group 21-30 (25%)> 31-40 (21%)>11-20 (19%). Males (61%) were more affected than females (39%). Out of the total 1223 cases, 100% of the cases were reported from Govt. institutions. State Health Department, Govt. of Bihar took many measures to limit the outbreak, and through strengthening the surveillance and response activities, transmission of the disease was curtailed in the State. Conclusion: Patna district was most affected followed by Nalanda and Vaishali. Young adults of age group 21-30 were most affected. Males were more affected than females.

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“…Ramchurn et. al [13] have specifically studied the transmission dynamics of chikungunya epidemic outbreak with the help of a SI model. In the present work we have developed and extended the model in light of the dynamics of the…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Effects of Control Measures on the Transmission Dynamics of Chikungunya Disease

Misra¹,

Mishra²

2012

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Chikungunya is a vector borne communicab le disease which is transmitted in human population through the bite of an infected Aedes-Aegeypti mosquito. In order to study the spread of Chikungunya disease a model has been proposed and analyzed in this paper. In the proposed model the human population and the mosquito population have been divided into three and two classes respectively. For controlling the disease, vector control measures such as, reduction in the breeding of vector population, killing of mosquitoes and isolation of infected humans have been also taken in to account in the model. Linear and non-linear stability analysis of the model has been carried out. Fro m the analysis we have derived a threshold condition involving control reproductive number , and we have found that the disease free equilibriu m point is locally asymptotically stable when and unstable when .We have also proved that a unique endemic equilibriu m point exists and is locally asymptotically stable when. Thus, we have concluded from the analysis of the model that the disease will either die out or will remain endemic depending on the value of control reproductive number. This study will assist the health department in controlling the spread of Chikungunya disease by introducing the control measures such as increasing the awareness in the society, killing of mosquitoes and isolating the infected individuals.

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A study of the 2006 Chikungunya epidemic outbreak in Mauritius

Cited by 9 publications

References 16 publications

The role of environmental variables onAedes albopictusbiology and chikungunya epidemiology

The role of environmental variables onAedes albopictusbiology and chikungunya epidemiology

Brief Epidemiological Report on Chikungunya Outbreak in Bihar, India in 2017: Implications for Control

Simultaneous Effects of Control Measures on the Transmission Dynamics of Chikungunya Disease

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