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Seasonality of human leptospirosis in Reunion Island (Indian Ocean) and its association with meteorological data.

Desvars A, Jégo S, Chiroleu F, Bourhy P, Cardinale E, Michault A - PLoS ONE (2011)

Bottom Line: Six hundred and thirteen cases were reported during the 11-year study period, and 359 cases (58.56%) were diagnosed between February and May.A significant correlation was identified between the number of cases in a given month and the associated cumulated rainfall as well as the mean monthly temperature recorded 2 months prior to diagnosis (r = 0.28 and r = 0.23 respectively).Meteorological data can be used to predict the occurrence of the disease and our statistical model can help to implement seasonal prevention measures.

View Article: PubMed Central - PubMed

Affiliation: Unité Mixte de Recherche Contrôle des Maladies Animales Exotiques et Emergentes, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Sainte-Clotilde, La Réunion, France. amelie.desvars@cirad.fr

ABSTRACT

Background: Leptospirosis is a disease which occurs worldwide but particularly affects tropical areas. Transmission of the disease is dependent on its excretion by reservoir animals and the presence of moist environment which allows the survival of the bacteria.

Methods and findings: A retrospective study was undertaken to describe seasonal patterns of human leptospirosis cases reported by the Centre National de Références des Leptospiroses (CNRL, Pasteur Institute, Paris) between 1998 and 2008, to determine if there was an association between the occurrence of diagnosed cases and rainfall, temperature and global solar radiation (GSR). Meteorological data were recorded in the town of Saint-Benoît (Météo France "Beaufonds-Miria" station), located on the windward (East) coast. Time-series analysis was used to identify the variables that best described and predicted the occurrence of cases of leptospirosis on the island. Six hundred and thirteen cases were reported during the 11-year study period, and 359 cases (58.56%) were diagnosed between February and May. A significant correlation was identified between the number of cases in a given month and the associated cumulated rainfall as well as the mean monthly temperature recorded 2 months prior to diagnosis (r = 0.28 and r = 0.23 respectively). The predictive model includes the number of cases of leptospirosis recorded 1 month prior to diagnosis (b = 0.193), the cumulated monthly rainfall recorded 2 months prior to diagnosis (b = 0.145), the average monthly temperature recorded 0 month prior to diagnosis (b = 3.836), and the average monthly GSR recorded 0 month prior to diagnosis (b = -1.293).

Conclusions: Leptospirosis has a seasonal distribution in Reunion Island. Meteorological data can be used to predict the occurrence of the disease and our statistical model can help to implement seasonal prevention measures.

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Related in: MedlinePlus

Monthly data on leptospirosis in Reunion Island.Mean number and standard error of monthly cases of leptospirosis in Reunion Island, 1 January 1998 to 31 December 2008.
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pone-0020377-g002: Monthly data on leptospirosis in Reunion Island.Mean number and standard error of monthly cases of leptospirosis in Reunion Island, 1 January 1998 to 31 December 2008.

Mentions: There were 613 cases reported in Reunion Island between 1998 and 2008 (Table 3). The year with the highest number of cases was 2004, with 91 reported cases, while 1999 had the lowest number, 25 reported cases. The annual mean number of cases for this 11-year period was 55.73±6.61, and 359 cases (58.56%) were diagnosed between February and May (Figure 2). On average, the number of cases per month between 1998 and 2008 was 4.64±0.83. This number varied greatly over the period studied, from 0 to 27. The annual incidence of leptospirosis in Reunion Island ranged from 4.85 to 11.95 cases per 100,000 people between 1998 and 2008 (Table 3). The highest incidence was observed between 2003 and 2005, and then decreased by more than 50% to the end of the period.


Seasonality of human leptospirosis in Reunion Island (Indian Ocean) and its association with meteorological data.

Desvars A, Jégo S, Chiroleu F, Bourhy P, Cardinale E, Michault A - PLoS ONE (2011)

Monthly data on leptospirosis in Reunion Island.Mean number and standard error of monthly cases of leptospirosis in Reunion Island, 1 January 1998 to 31 December 2008.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3105052&req=5

pone-0020377-g002: Monthly data on leptospirosis in Reunion Island.Mean number and standard error of monthly cases of leptospirosis in Reunion Island, 1 January 1998 to 31 December 2008.
Mentions: There were 613 cases reported in Reunion Island between 1998 and 2008 (Table 3). The year with the highest number of cases was 2004, with 91 reported cases, while 1999 had the lowest number, 25 reported cases. The annual mean number of cases for this 11-year period was 55.73±6.61, and 359 cases (58.56%) were diagnosed between February and May (Figure 2). On average, the number of cases per month between 1998 and 2008 was 4.64±0.83. This number varied greatly over the period studied, from 0 to 27. The annual incidence of leptospirosis in Reunion Island ranged from 4.85 to 11.95 cases per 100,000 people between 1998 and 2008 (Table 3). The highest incidence was observed between 2003 and 2005, and then decreased by more than 50% to the end of the period.

Bottom Line: Six hundred and thirteen cases were reported during the 11-year study period, and 359 cases (58.56%) were diagnosed between February and May.A significant correlation was identified between the number of cases in a given month and the associated cumulated rainfall as well as the mean monthly temperature recorded 2 months prior to diagnosis (r = 0.28 and r = 0.23 respectively).Meteorological data can be used to predict the occurrence of the disease and our statistical model can help to implement seasonal prevention measures.

View Article: PubMed Central - PubMed

Affiliation: Unité Mixte de Recherche Contrôle des Maladies Animales Exotiques et Emergentes, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Sainte-Clotilde, La Réunion, France. amelie.desvars@cirad.fr

ABSTRACT

Background: Leptospirosis is a disease which occurs worldwide but particularly affects tropical areas. Transmission of the disease is dependent on its excretion by reservoir animals and the presence of moist environment which allows the survival of the bacteria.

Methods and findings: A retrospective study was undertaken to describe seasonal patterns of human leptospirosis cases reported by the Centre National de Références des Leptospiroses (CNRL, Pasteur Institute, Paris) between 1998 and 2008, to determine if there was an association between the occurrence of diagnosed cases and rainfall, temperature and global solar radiation (GSR). Meteorological data were recorded in the town of Saint-Benoît (Météo France "Beaufonds-Miria" station), located on the windward (East) coast. Time-series analysis was used to identify the variables that best described and predicted the occurrence of cases of leptospirosis on the island. Six hundred and thirteen cases were reported during the 11-year study period, and 359 cases (58.56%) were diagnosed between February and May. A significant correlation was identified between the number of cases in a given month and the associated cumulated rainfall as well as the mean monthly temperature recorded 2 months prior to diagnosis (r = 0.28 and r = 0.23 respectively). The predictive model includes the number of cases of leptospirosis recorded 1 month prior to diagnosis (b = 0.193), the cumulated monthly rainfall recorded 2 months prior to diagnosis (b = 0.145), the average monthly temperature recorded 0 month prior to diagnosis (b = 3.836), and the average monthly GSR recorded 0 month prior to diagnosis (b = -1.293).

Conclusions: Leptospirosis has a seasonal distribution in Reunion Island. Meteorological data can be used to predict the occurrence of the disease and our statistical model can help to implement seasonal prevention measures.

Show MeSH
Related in: MedlinePlus