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. 2022 May 10:150:e122.
doi: 10.1017/S0950268822000759.

Rainfall anomalies and typhoid fever in Blantyre, Malawi

Affiliations

Rainfall anomalies and typhoid fever in Blantyre, Malawi

Jillian S Gauld et al. Epidemiol Infect. .

Abstract

Typhoid fever is a major cause of illness and mortality in low- and middle-income settings. We investigated the association of typhoid fever and rainfall in Blantyre, Malawi, where multi-drug-resistant typhoid has been transmitting since 2011. Peak rainfall preceded the peak in typhoid fever by approximately 15 weeks [95% confidence interval (CI) 13.3, 17.7], indicating no direct biological link. A quasi-Poisson generalised linear modelling framework was used to explore the relationship between rainfall and typhoid incidence at biologically plausible lags of 1-4 weeks. We found a protective effect of rainfall anomalies on typhoid fever, at a two-week lag (P = 0.006), where a 10 mm lower-than-expected rainfall anomaly was associated with up to a 16% reduction in cases (95% CI 7.6, 26.5). Extreme flooding events may cleanse the environment of S. Typhi, while unusually low rainfall may reduce exposure from sewage overflow. These results add to evidence that rainfall anomalies may play a role in the transmission of enteric pathogens, and can help direct future water and sanitation intervention strategies for the control of typhoid fever.

Keywords: Typhoid fever; rainfall; statistical analysis; weather.

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Conflict of interest statement

The authors have no commercial interests and declare no conflicts of interest.

Figures

Fig. 1.
Fig. 1.
(a) time series of case-counts (black), with long term trend (blue) and long term plus seasonal trend (red). (b) Residuals from long-term trend model. (c) Residuals from long term plus seasonal trend model.
Fig. 2.
Fig. 2.
(a) Average weekly rainfall (black), with fitted log-Gaussian model (red). (b) Rainfall anomalies.
Fig. 3.
Fig. 3.
(a) Cross-correlation of detrended cases and rainfall, (b) Best-fit seasonal amplitude for cases (black line) and rainfall (blue line), (c) Histogram of the calculated seasonal lags generated from 1000 realisations of the multivariate Normal distribution parameterised by model covariates.
Fig. 4.
Fig. 4.
(a) Effect of 2-week lagged rainfall anomaly on case incidence, (b) Model predictions with (red) and without (blue) rainfall anomaly included, and total cases in light grey.

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References

    1. Stanaway JD et al. (2019) The global burden of typhoid and paratyphoid fevers: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet Infectious Diseases 19, 369–381. - PMC - PubMed
    1. Moore B (1951) The detection of enteric carriers in towns by means of sewage examination. Journal Royal Sanitary Institute (Great Britain) 71, 57–60. - PubMed
    1. Karkey A et al. (2016) The ecological dynamics of fecal contamination and Salmonella Typhi and Salmonella Paratyphi A in municipal Kathmandu drinking water. PLoS Neglected Tropical Diseases 10, e0004346. 10.1371/journal.pntd.0004346. - DOI - PMC - PubMed
    1. Shuval HI (1993) Investigation of typhoid fever and cholera transmission by raw wastewater irrigation in Santiago, Chile. Water Science and Technology 27, 167–174.
    1. Pitzer VE et al. (2014) Predicting the impact of vaccination on the transmission dynamics of typhoid in South Asia: a mathematical modeling study. PLoS Neglected Tropical Diseases 8, 40. - PMC - PubMed

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