-->

Association between Rainfall, Temperature, and Dengue Fever Incidence in Selected Regions of Guyana, 2020–2022: A Hydrometeorological Correlation Analysis

Download Article

DOI: 10.21522/TIJAR.2014.13.03.Art002

Authors : S Allison Peters, Abiodun Olaiya Paul, Keisha A. Nelson, Komalchand Dhiram, Nayan Persaud

Abstract:

Characterizing the meteorological determinants of dengue transmission is critical for developing anticipatory surveillance frameworks in tropical settings like Guyana, where precipitation and temperature fluctuations are intrinsically linked to the reproductive ecology of Aedes aegypti. This study examined the association between monthly and annual hydrometeorological parameters, rainfall (mm), daytime temperature (℃), and nighttime temperature (℃), and confirmed dengue fever case counts in Guyana's administrative Regions 5, 6, and 9 from 2020 to 2022. Data were obtained from the Guyana Ministry of Health national disease notification system and the Guyana Hydrometeorological Service. Descriptive and correlation analyses revealed that the highest annual rainfall year (2021) corresponded with peak dengue case burden nationally (4,384 cases), while Region 6, which recorded both the highest cumulative rainfall (3,348.6 mm in 2021) and the second-greatest case burden, demonstrated the strongest apparent positive association between precipitation and case counts. Daytime temperatures remained relatively stable across the three years (30.6–31.9℃), suggesting limited temperature variability as an independent driver within this range, though nighttime temperatures showed modest co-variation with case trends. These findings provide empirical support for rainfall as a key correlate of dengue incidence in Guyana and lay the foundation for prospective distributed lag non-linear modeling and the development of an early warning system.

References:

[1].   Tun-Lin W, Burkot TR, Kay BH. Effects of temperature and larval diet on development rates and survival of the dengue vector Aedes aegypti in north Queensland, Australia. Med Vet Entomol. 2000;14(1):31-7.

[2].   Alto BW, Bettinardi D. Temperature and dengue virus infection in mosquitoes. Am J Trop Med Hyg. 2013;88(4):784-92.

[3].   Liu K, Fang S, Li Q, Lou Y. Effectiveness evaluation of mosquito suppression strategies on dengue transmission under changing temperature and precipitation. Acta Trop. 2024;253:107159.

[4].   World Meteorological Organization. Guide to meteorological instruments and methods of observation. WMO-No. 8. Geneva: World Meteorological Organization; 2017.

[5].   World Bank. Climate risk country profile: Guyana. Washington (DC): World Bank; 2021.

[6].   Baksh A, Bhagarathi LK, Pestano F, Silva PND. Assessing short-term lagged effects of temperature and rainfall on dengue cases in Guyana. Int J Mosq Res. 2025;12(4):57-65.

[7].   Boston C, Kurup R. Estimated effects of climate variables on transmission of malaria, dengue and leptospirosis within Georgetown, Guyana. West Indian Med J. 2017.

[8].   Gasparrini A, Armstrong B, Kenward MG. Distributed lag non-linear models. Stat Med. 2010;29(21):2224-34.

[9].   Yasanayake CN, Zaitchik BF, Gnanadesikan A, Gardner LM, Shet A. Mechanistic modeling of Aedes aegypti mosquito habitats for climate-informed dengue forecasting. GeoHealth. 2025;9(9).

[10].  Hii YL, Zhu H, Ng N, Ng LC, Rocklöv J. Forecast of dengue incidence using temperature and rainfall. PLoS Negl Trop Dis. 2012;6(11):e1908.

[11].  Li Y, Dou Q, Lu Y, Xiang H, Yu X, Liu S. Effects of ambient temperature and precipitation on the risk of dengue fever: a systematic review and updated meta-analysis. Environ Res. 2020;191:110043.

[12].  Vezzani D. Artificial container-breeding mosquitoes and cemeteries: a perfect match. Trop Med Int Health. 2007;12(2):299-313.

[13].  Medina E, Cogollo MR, González-Parra G. Prescriptive temporal modeling approach using climate variables to forecast dengue incidence in Córdoba, Colombia. Math Biosci Eng. 2024;21(12):7760-82.

[14].  Geraldini B, Johansen IC, Justus M. Influence of temperature and precipitation on dengue incidence in Campinas, São Paulo State, Brazil (2013-2022). Rev Soc Bras Med Trop. 2024;57.

[15].  Ramachandran VG, Roy P, Das S, Mogha NS, Bansal AK. Empirical model for calculating dengue incidence using temperature, rainfall, and relative humidity: a 19-year retrospective analysis in East Delhi, India. Epidemiol Health. 2016;e2016052.

[16].  Picardal JP, Elnar ARB. Rainfall, temperature, and the incidence of dengue in Central Visayas, Philippines, is not correlated. CNU J High Educ. 2012;6(1):61-70.

[17].  Brady OJ, Bjornstad ON, Pigott DM, Brownstein JS, Hoen AG, Hay SI. The many projected futures of dengue. Nat Rev Microbiol. 2019;17:580-93.

[18].  Souza M, Andrade L, Spyrides M, Tinoco I. Profile estimates for the analysis of climatic and socio-sanitary vulnerability to dengue in municipalities in Northeast Brazil. Urban Clim. 2020;34:100712.

[19].  Douglas KO, Payne K, Sabino-Santos G, Chami P, Lorde T. The impact of climate on human dengue infections in the Caribbean. Pathogens. 2024;13(9):756.

[20].  Pan American Health Organization. Epidemiological update: dengue in the Americas. Washington (DC): Pan American Health Organization; 2024.

[21].  World Health Organization. Dengue: guidelines for diagnosis, treatment, prevention and control. New ed. Geneva: World Health Organization; 2009.

[22].  Colón-González FJ, Lake IR, Bentham G. Climate variability and dengue fever in warm and humid Mexico. Am J Trop Med Hyg. 2013;88(5):849-57.

[23].  Méndez-Lázaro P, Muller-Karger F, Otis D, McCarthy M, Peña-Orellana M. Assessing climate variability effects on dengue incidence in San Juan, Puerto Rico. Int J Environ Res Public Health. 2014;11(9):9409-28.

[24].  World Bank. Guyana: country economic memorandum and poverty assessment highlights. Washington (DC): World Bank; 2022.

[25].  Tello MPC, Rosales CGC, Baculima RDP. Dengue en Ecuador, su relación con el cambio climático y la dinámica del Aedes aegypti. Mediciencias UTA. 2025;9(3):39-47.