Vector-Borne Disease Risk Assessment Among Households: A Cross-Sectional Epidemiological Investigation

Year : 2026 | Volume : 04 | Issue : 01 | Page : 15 18
    By

    Anu Joseph,

  • Pinky Jose,

  • Ajeena Joseph,

  • Jincy Mathew,

  1. Assistant Professor, Department of Community Health Nursing, Caritas College of Nursing, Kottayam, Kerala, India
  2. Assistant Professor, Department of Community Health Nursing, Caritas College of Nursing, Kottayam, Kerala, India
  3. Student, Department of Nursing, Caritas College of Nursing, Kottayam,, Kerala, India
  4. Student, Department of Nursing, Caritas College of Nursing, Kottayam,, Kerala, India

Abstract

The study was conducted to assess the risk of vector-borne diseases among households of the selected ward of Athirampuzha Panchayath, Kottayam. Objectives of the study were to assess the percentage of houses infested with larvae or pupae of mosquito (house index (HI): total number of positive houses/total houses × 100), to identify the percentage of water holding containers infested with larvae or pupae of mosquito (container index (CI): total number of positive containers/total containers × 100) and to determine the number of positive containers per houses inspected (Breteau index (BI): number of positive containers/total houses × 100) among households in the study area. A survey design using a convenience sampling technique was used to select 72 households. The tool for data collection was a self-designed observational checklist. The result showed that among the households surveyed, 11 (15.3%) were infested with larvae or pupae of mosquitoes, HI ≥ 5%: high risk of vector-borne diseases. Among the water holding containers inspected, 10 (28.6%) containers were infested with larvae or pupae of mosquitoes. CI ≥ 10%: high risk of vector-borne diseases. Among the households inspected, 10 (13.9%) water holding containers were infested with larvae or pupae of mosquitoes per house inspected, BI 5-19%: moderate risk of vector-borne diseases.

Keywords: Vector-borne diseases, risk assessment, household pupae of mosquito, moderate risk

[This article belongs to International Journal of Evidence Based Nursing And Practices ]

How to cite this article:
Anu Joseph, Pinky Jose, Ajeena Joseph, Jincy Mathew. Vector-Borne Disease Risk Assessment Among Households: A Cross-Sectional Epidemiological Investigation. International Journal of Evidence Based Nursing And Practices. 2026; 04(01):15-18.
How to cite this URL:
Anu Joseph, Pinky Jose, Ajeena Joseph, Jincy Mathew. Vector-Borne Disease Risk Assessment Among Households: A Cross-Sectional Epidemiological Investigation. International Journal of Evidence Based Nursing And Practices. 2026; 04(01):15-18. Available from: https://journals.stmjournals.com/ijebnp/article=2026/view=248370


References

  1. Soman B, Soman B. Spatiotemporal clustering of dengue cases in Thiruvananthapuram district, Kerala. Indian J Public Health. 2017;61:74–80. doi:10.4103/ijph.IJPH_26_16. PMID:28721955.
  2. Samuel PP, Thenmozhi V, Nagaraj J, Kumar TD, Tyagi BK. Dengue vectors prevalence and the related risk factors involved in the transmission of dengue in Thiruvananthapuram district, Kerala, South India. J Vector Borne Dis. 2014;51(4):313–319. doi:10.4103/0972-9062.147886. PMID:25540964.
  3. Fansiri T, Buddhari D, Pathawong N, Pongsiri A, Klungthong C, Iamsirithaworn S, et al. Entomological risk assessment for dengue virus transmission during 2016–2020 in Kamphaeng Phet, Thailand. Pathogens. 2021;10(10):1234. doi:10.3390/pathogens10101234. PMID:34684183; PMCID: PMC8538081.
  4. Aryaprema VS, Xue RD. Breteau index as a promising early warning signal for dengue fever outbreaks in the Colombo District, Sri Lanka. Acta Trop. 2019;199:105155. doi:10.1016/j.actatropica.2019.105155. PMID:31454507.
  5. Islam J, Dowsett CK, Qi X, Bambrick H, Frentiu FD, Hu W. Refining the suitable conditions index to predict dengue fever transmission in Bangladesh and Sri Lanka. Trop Med Health. 2026;54(1):32. doi:10.1186/s41182-026-00908-8. PMID:41634874; PMCID: PMC12930654.
  6. Kannan M, Rajendran R, Sunish IP, Balasubramaniam R, Arunachalam N, Paramsivan R, et al. A study on chikungunya outbreak during 2007 in Kerala, South India. Indian J Med Res. 2009;129(3):311–315. PMID:19491425.
  7. Ubaidulla SM, Rajanbabu B, Varma KK, Hussain A. A study on the role of lepidopterism in seasonal fever outbreaks. J Fam Med Prim Care. 2022;11(8):4576–4581. doi:10.4103/jfmpc.jfmpc_1825_21. PMID:36353005; PMCID: PMC9638582.
  8. Menon PR, Krishnan C, Sankar J, Gopinathan KM, Mohan G. A child with serious chikungunya virus infection requiring intensive care after an outbreak. Indian J Pediatr. 2010;77(11):1326–1328. doi:10.1007/s12098-010-0174-2. PMID:20803176.
  9. Casais PM, Akrami K, Cerqueira-Silva T, Moraes LP, Rigaud VN, Neto ES, et al. Oral lesions are frequent in patients with chikungunya infection. J Travel Med. 2020;27(4):taaa040. doi:10.1093/jtm/taaa040. PMID:32186714; PMCID: PMC7359922.
  10. Suryawanshi SD, Dube AH, Khadse RK, Jalgaonkar SV, Sathe PS, Zawar SD, et al. Clinical profile of chikungunya fever in patients in a tertiary care centre in Maharashtra, India. Indian J Med Res. 2009;129(4):438–441. PMID:19535840.

Regular Issue Subscription Original Research
Volume 04
Issue 01
Received 30/01/2026
Accepted 02/04/2026
Published 18/04/2026
Publication Time 78 Days


Login


My IP

PlumX Metrics