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      Association between Precipitation and Diarrheal Disease in Mozambique

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          Abstract

          Diarrheal diseases are a leading cause of morbidity and mortality in Africa. Although research documents the magnitude and pattern of diarrheal diseases are associated with weather in particular locations, there is limited quantification of this association in sub-Saharan Africa and no studies conducted in Mozambique. Our study aimed to determine whether variation in diarrheal disease was associated with precipitation in Mozambique. In secondary analyses we investigated the associations between temperature and diarrheal disease. We obtained weekly time series data for weather and diarrheal disease aggregated at the administrative district level for 1997–2014. Weather data include modeled estimates of precipitation and temperature. Diarrheal disease counts are confirmed clinical episodes reported to the Mozambique Ministry of Health ( n = 7,315,738). We estimated the association between disease counts and precipitation, defined as the number of wet days (precipitation > 1 mm) per week, for the entire country and for Mozambique’s four regions. We conducted time series regression analyses using an unconstrained distributed lag Poisson model adjusted for time, maximum temperature, and district. Temperature was similarly estimated with adjusted covariates. Using a four-week lag, chosen a priori, precipitation was associated with diarrheal disease. One additional wet day per week was associated with a 1.86% (95% CI: 1.05–2.67%), 1.37% (95% CI: 0.70–2.04%), 2.09% (95% CI: 1.01–3.18%), and 0.63% (95% CI: 0.11–1.14%) increase in diarrheal disease in Mozambique’s northern, central, southern, and coastal regions, respectively. Our study indicates a strong association between diarrheal disease and precipitation. Diarrheal disease prevention efforts should target areas forecast to experience increased rainfall. The burden of diarrheal disease may increase with increased precipitation associated with climate change, unless additional health system interventions are undertaken.

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          Most cited references22

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          The influence of climate variation and change on diarrheal disease in the Pacific Islands.

          Freshwater resources are a high-priority issue in the Pacific region. Water shortage is a serious problem in many small island states, and many depend heavily on rainwater as the source of their water. Lack of safe water supplies is an important factor in diarrheal illness. There have been no previous studies looking specifically at the relationship between climate variability and diarrhea in the Pacific region. We carried out two related studies to explore the potential relationship between climate variability and the incidence of diarrhea in the Pacific Islands. In the first study, we examined the average annual rates of diarrhea in adults, as well as temperature and water availability from 1986 to 1994 for 18 Pacific Island countries. There was a positive association between annual average temperature and the rate of diarrhea reports, and a negative association between water availability and diarrhea rates. In the second study, we examined diarrhea notifications in Fiji in relation to estimates of temperature and rainfall, using Poisson regression analysis of monthly data for 1978-1998. There were positive associations between diarrhea reports and temperature and between diarrhea reports and extremes of rainfall. These results are consistent with previous research and suggest that global climate change is likely to exacerbate diarrheal illness in many Pacific Island countries.
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            Seasonality in six enterically transmitted diseases and ambient temperature.

            We propose an analytical and conceptual framework for a systematic and comprehensive assessment of disease seasonality to detect changes and to quantify and compare temporal patterns. To demonstrate the proposed technique, we examined seasonal patterns of six enterically transmitted reportable diseases (EDs) in Massachusetts collected over a 10-year period (1992-2001). We quantified the timing and intensity of seasonal peaks of ED incidence and examined the synchronization in timing of these peaks with respect to ambient temperature. All EDs, except hepatitis A, exhibited well-defined seasonal patterns which clustered into two groups. The peak in daily incidence of Campylobacter and Salmonella closely followed the peak in ambient temperature with the lag of 2-14 days. Cryptosporidium, Shigella, and Giardia exhibited significant delays relative to the peak in temperature (approximately 40 days, P<0.02). The proposed approach provides a detailed quantification of seasonality that enabled us to detect significant differences in the seasonal peaks of enteric infections which would have been lost in an analysis using monthly or weekly cumulative information. This highly relevant to disease surveillance approach can be used to generate and test hypotheses related to disease seasonality and potential routes of transmission with respect to environmental factors.
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              Association between climate variability and hospital visits for non-cholera diarrhoea in Bangladesh: effects and vulnerable groups.

              We estimated the effects of rainfall and temperature on the number of non-cholera diarrhoea cases and identified population factors potentially affecting vulnerability to the effect of the climate factors in Dhaka, Bangladesh. Weekly rainfall, temperature and number of hospital visits for non-cholera diarrhoea were analysed by time-series regression. A Poisson regression model was used to model the relationships controlling for seasonally varying factors other than the weather variables. Modifications of weather effects were investigated by fitting the models separately to incidence series according to their characteristics (sex, age, socio-economic, hygiene and sanitation status). The number of non-cholera diarrhoea cases per week increased by 5.1% (95% CI: 3.3-6.8) for every 10 mm increase above the threshold of 52 mm of average rainfall over lags 0-8 weeks. The number of cases also increased by 3.9% (95% CI: 0.6-7.2) for every 10 mm decrease below the same threshold of rainfall. Ambient temperature was also positively associated with the number of non-cholera diarrhoea cases. There was no evidence for the modification of both 'high and low rainfall' effects by individual characteristics, while the effect of temperature was higher amongst those individuals at a lower educational attainment and unsanitary toilet users. The number of non-cholera diarrhoea cases increased both above and below a threshold level with high and low rainfall in the preceding weeks. The number of cases also increased with higher temperature, particularly in those individuals at a lower socio-economic and sanitation status.

                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                10 April 2018
                April 2018
                : 15
                : 4
                : 709
                Affiliations
                [1 ]Department of Epidemiology, University of Washington, 1959 NE Pacific Street, P.O. Box 357236, Seattle, WA 98195, USA; lindsaymhorn@ 123456gmail.com (L.M.H.); anjumh@ 123456uw.edu (A.H.)
                [2 ]Department of Environmental and Occupational Health Sciences, University of Washington, 1959 NE Pacific Street, P.O. Box 357234, Seattle, WA 98195, USA; sheppard@ 123456uw.edu
                [3 ]Department of Biostatistics, University of Washington, 1959 NE Pacific Street, P.O. Box 357232, Seattle, WA 98195, USA
                [4 ]United States Agency for International Development (USAID 1300 Pennsylvania Ave NW, Washington, DC 20004, USA; cquinn@ 123456usaid.gov
                [5 ]Clinton Global Health Initiative, 383 Dorchester Ave., Suite 400, Boston, MA 02127, USA; jmcolborn@ 123456gmail.com
                [6 ]Chemonics International, 1717 H St NW # 1, Washington, DC 20006, USA; fzermoglio@ 123456chemonics.com
                [7 ]Instituto Nacional de Saude, Av Eduardo Mondlane, 1008, 2nd Floor, P.O. Box 264, Maputo, Mozambique; esamogudojr@ 123456gmail.com (E.S.G.); ttn.marrufo@ 123456gmail.com (T.M.)
                [8 ]Department of Global Health, University of Washington, 1959 NE Pacific Street, P.O. Box 357965, Seattle, WA 98195, USA
                Author notes
                [* ]Correspondence: krisebi@ 123456uw.edu ; Tel.: +1-206-543-8440
                Author information
                https://orcid.org/0000-0002-5266-2837
                Article
                ijerph-15-00709
                10.3390/ijerph15040709
                5923751
                29642611
                56446a5f-4504-4807-8f52-a64ab0d30ddc
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 February 2018
                : 03 April 2018
                Categories
                Article

                Public health
                climate change,diarrheal disease,mozambique,precipitation,temperature
                Public health
                climate change, diarrheal disease, mozambique, precipitation, temperature

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