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. 2017 Feb 8;6:20. doi: 10.1186/s40249-016-0232-8

Mortality Trends for Neglected Tropical Diseases in the State of Sergipe, Brazil, 1980–2013

Marcos Antônio Costa de Albuquerque 1,2,, Danielle Menezes Dias 1,#, Lucas Teixeira Vieira 1,#, Carlos Anselmo Lima 1,2,#, Angela Maria da Silva 1,2,#
PMCID: PMC5297211  PMID: 28173858

Abstract

Background

Neglected Tropical Diseases are a set of communicable diseases that affect the population so low socioeconomic status, particularly 1.4 billion people who are living below the poverty level. This study has investigated the magnitude and mortality time trends for these diseases in the state of Sergipe, Northeast Region of Brazil.

Methods

We conducted an ecological study of time series, based on secondary data derived from the Mortality Information System of the Ministry of Health. The mortality rates (crude, age-standardized rates and proportional ratio) were calculated from the deaths due to Neglected Tropical Diseases in the state of Sergipe, from 1980 to 2013. The time trends were obtained using the Joinpoint regression model.

Results

Three hundred six thousand and eight hundred seventy-two deaths were certified in the state and Neglected Tropical Diseases were mentioned as the underlying cause in 1,203 certificates (0.39%). Mean number of deaths was 35.38 per year, and crude and age-standardized mortality rates were, respectively: 2.16 per 100 000 inhabitants (95% CI: 1.45–2.87) and 2.87 per 100 000 inhabitants (95% CI: 1.93–3.82); the proportional mortality ratio was 0.41% (95% CI: 0.27–0.54). In that period, Schistosomiasis caused 654 deaths (54.36%), followed by Chagas disease, with 211 (17.54%), and by Leishmaniases, with 142 (11.80%) deaths. The other diseases totalized 196 deaths (16.30%). There were increasing mortality trends for Neglected Tropical Diseases, Schistosomiasis and Chagas disease in the last 15 years, according to the age-standardized rates, and stability of the mortality trends for Leishmaniases.

Conclusions

The Neglected Tropical Diseases show increasing trends and are a real public health problem in the state of Sergipe, since they are responsible for significant mortality rates. The following diseases call attention for showing greater number of deaths in the period of study: Schistosomiasis, Chagas disease and Leishmaniases. We finally suggest that public managers take appropriate actions to develop new strategies in epidemiological and therapeutic surveillance, and in the follow-up of these patients.

Electronic supplementary material

The online version of this article (doi:10.1186/s40249-016-0232-8) contains supplementary material, which is available to authorized users.

Keywords: Mortality, Neglected tropical diseases, Trends, Joinpoint

Multilingual abstracts

Please see Additional file 1 for translations of the abstract into the five official working languages of the United Nations.

Background

Neglected Tropical Diseases (NTDs) are a set of communicable diseases that affect the population so low socioeconomic status, particularly 1.4 billion people who are living below the poverty level, mainly those located in the Sub-Saharan Africa, Caribbean, Asia, and Latin America [1]. They represent a group of diseases of high global prevalence, namely: Leishmaniases, Schistosomiasis, Onchocerciasis, Lymphatic filariasis, Taeniasis, Cysticercosis, Dracunculiasis, Chagas disease, Human African trypanosomiasis, Leprosy, Dengue, Buruli ulcer, Echinococcosis, endemic treponematoses (Yaws, Pinta, Bejel), Rabies, Trachoma, foodborne trematodiases and some soil-transmitted helminthiases (Ascaris lumbricoides, Trichuris trichiura and Hookworm infection) [2]. These diseases are so called because the research investments are generally not reverted to development and amplification of access to new drugs, diagnostic tests, vaccines and other technologies for their prevention and control [3].

Globally, Hookworm infection is the most prevalent neglected tropical disease (NTD), and the number of deaths due to Leishmaniasis, Schistosomiasis and human African trypanosomiasis (HAT) is extremely high [4]. The highest incidence rate of these diseases in Latin America and the Caribbean occurs in Brazil, where approximately 40 million people live in extreme poverty. Most of Brazil’s poorest people are infected with one or more NTDs, especially either hookworms or roundworms, or both [5]. NTDs are more prevalent in the Northeast and North Region of the country, where we find the lowest Human Development Indices (HDIs). Most NTDs occur in several Brazilian regions; some occur in outbreaks, such as Onchocerciasis, which is limited to the Yanomami indigenous zone (North Region), and lymphatic Filariasis, strongly concentrated in the metropolitan area of Recife [4].

Due to lack of data on mortality impact caused by NTDs in the State of Sergipe, Northeast Region of Brazil, the present paper provides information concerning these neglected diseases, which may contribute to warn managers about the need to prioritize and readjust actions related to surveillance, support, therapeutic quality, and control of these diseases. Here, we analysed the magnitude and mortality time trends for the Neglected Tropical Diseases in the state of Sergipe, Brazil, emphasizing the underlying causes of deaths within the period of study.

Methods

Study area

Sergipe is the smaller state of Brazil, total area is 21 918.493km2, and accounts for 0.26% of the national total area. It is located in the Northeast, comprising 75 towns, according to the Instituto Brasileiro de Geografia e Estatística (IBGE) [6]. The IBGE estimated a population of 2 219 574 inhabitants for Sergipe in 2014, population density is 94.36 inhabitants/km2, and life expectancy at birth is 72.1 years [7]. The general climate in the state is semiarid, consisting of seven to 11 dry months. The average annual pluviometric index fluctuates, and irregular and poorly distributed rains occur throughout the year. Waste water treatment is mostly made through septic tanks and part of the effluents generated in the community is released in the general waste water network and, in some cities, directly to the rain water system, without the duly treatment. Approximately 50% of the population lives within the Poverty Index [8]. At least the following NTDs are recognized endemically in Sergipe: Leishmaniases, Schistosomiasis, Chagas disease, Dengue, Leprosy, Taeniasis, soil-transmitted helminthiases (Ascaris lumbricoides, Trichuris trichiura and Hookworm infection).

Study design, population and data sources

We designed an ecological study of time series to assess mortality trends for Neglected Tropical Diseases in the state of Sergipe, from 1980 to 2013. Mortality data, which are of public domain, were obtained directly from the Mortality Information System (SIM) for the state of Sergipe, Brazil, and defined by the underlying cause of deaths. The NTDs used, corresponding ICD-9 (1980–1995) and ICD-10 (1996–2013), were obtained from the WHO list [2] and are summarized in Table 1. In addition to joint analysis, the three main ones were analyzed individually. The information regarding population was derived from the demographic census of 1980, 1991, 2000, 2010 and the inter-census estimates, obtained from IBGE.

Table 1.

Number of deaths, relative frequency and mortality rates of Neglected Tropical Diseases in the state of Sergipe, Brazil, 1980–2013

Neglected Tropical Disease ICD-9 ICD-10 Number % (95% CI) Crude rates (95% CI) Age − standardized rates (95% CI) Proportional ratios (95% CI)
Schistosomiasis 120 B65 654 54.36 (51.5 − 57.21) 1.17 (0.65 − 1.70) 1.65 (0.91 − 2.39) 0.22 (0.12 − .32)
Chagas disease 086.0, 086.1, 086.2 B57 211 17.54 (15.43 − 19.81) 0.38 (0.08 − 0.68) 0.57 (0.12 − 1.02) 0.07 (0.02 − 0.13)
Leishmaniases 085 B55 142 11.80 (10.03 − 13.76) 0.25 (0.01 − 0.50) 0.24 (0.01 − 0.48) 0.05 (0.00 − 0.09)
Dengue 061, 065.4 A90, A91 91 7.56 (6.13 − 9.21) 0.16 (0.00 − 0.36) 0.18 (0.00 − 0.39) 0.03 (0.00 − 0.07)
Leprosy 030 A30 57 4.74 (3.61 − 6.10) 0.10 (0.00 − 0.26) 0.15 (0.00 − 0.37) 0.02 (0.00 − 0.05)
Soil-transmitted helminthiases 126, 127.0, 127.2, 127.3 B76, B77, B78, B79 24 2.00 (1.28 − 2.95) 0.04 (0.00 − 0.14) 0.04 (0.00 − 0.12) 0.01 (0.00 − 0.03)
Rabies 071 A82 12 1.00 (0.52 − 1.74) 0.02 (0.00 − 0.09) 0.02 (0.00 − 0.08) 0.004 (0.00 − 0.017)
Cysticercosis 123.1 B69 5 0.42 (0.14 − 0.97) 0.01 (0.00 − 0.05) 0.01 (0.00 − 0.06) 0.002 (0.00 − 0.01)
Yaws 102 A66 2 0.17 (0.02 − 0.60) 0.004 (0.00 − 0.033) 0.004 (0.00 − 0.035) 0.001 (0.00 − 0.006)
Lymphatic Filariasis 125.0, 125.1, 125.2, 125.4, 125.5, 125.6, 125.9 B74 2 0.17 (0.02 − 0.60) 0.004 (0.00 − 0.033) 0.005 (0.00 − 0.041) 0.001 (0.00 − 0.006)
Buruli ulcer 031.1 A31.1 1 0.08 (0.00 − 0.46) 0.002 (0.00 − 0.022) 0.003 (0.00 − 0.034) NC
Teniasis 123.0, 123.2, 123.3 B68 1 0.08 (0.00 − 0.46) 0.002 (0.00 − 0.022) 0.002 (0.00 − 0.031) NC
Food borne trematodíases 121 B66 1 0.08 (0.00 − 0.46) 0.002 (0.00 − 0.022) NC NC
Human African trypanosomiasis 086.3, 086.4, 086.5 B56 0 0.00 (0.00 − 0.31) NC NC NC
Trachoma 076 A71 0 0.00 (0.00 − 0.31) NC NC NC
Dracunculiasis 125.7 B72 0 0.00 (0.00 − 0.31) NC NC NC
Echinococcosis 122 B67 0 0.00 (0.00 − 0.31) NC NC NC
Onchocerciasis 125.3 B73 0 0.00 (0.00 − 0.31) NC NC NC
Pinta 103 A67 0 0.00 (0.00 − 0.31) NC NC NC
Bejel 104 A65 0 0.00 (0.00 − 0.31) NC NC NC
Total 1,203 100.00 2.16 (1.45 − 2.87) 2.87 (1.93 − 3.82) 0.41 (0.27 − 0.54)

95% CI confidence intervals of 95%, NC not calculated

Statistical analysis

Crude mortality rates (CRs) were calculated to assess the annual risk of NTDs deaths in the state population. To compare studies in different locations and populations globally and nationally, we tried to reduce the effect of age differences between populations by calculating age-standardized mortality rates (ASRs). For the standardization, we used the direct method, Brazilian population of 2010 census as standard. The rates were calculated dividing the number of deaths by mid-period yearly population, expressed per 100 000 inhabitants. For the analysis of the age-specific rates, data were grouped into the following age groups: 0 to 19, 20 to 39, 40 to 59, and 60 plus years of age. We also calculated proportional mortality ratios (PMRs), dividing the number of NTD deaths by the total number of deaths, following multiplying by 100.

Trend analyses were performed using the Joinpoint Regression Program version 4.2.0.2 [9], based on the calculation of the annual percent change (APC) and its respective 95% confidence intervals (95% CI). Through the segmented log-linear regression, the Joinpoint method enables the description of a trend and the identification of recent changes, modeling linear segments united by inflexion points [10]. The option of heteroscedastic error used to model the trends was the Poisson model. The statistical significance was obtained using the permutation test of Monte Carlo, which through 9 999 permutations, chose the model with the best number of significant Joinpoints. We have also calculated the average annual percent change (AAPC) for the entire period and for the last 15 years [11]. If the APC or AAPC is positive and significant, there is an increasing trend; on the other hand, if the APC or AAPC is negative and significant, the trend is decreasing. If there is no significance, the trend it is considered stable.

Results

During the study period, we observed 306 872 deaths in the state; the NTDs were mentioned as the underlying cause in 1 203 certificates (0.39%). Average number of deaths was 35.38 per year; average annual mortality rates (CRs, ASRs) were, respectively: 2.16 per 100 000 (95% CI: 1.45–2.87) and 2.87 per 100 000 (95% CI: 1.93–3.82); the PMR was 0.41% (95% CI: 0.27–0.54). Table 1 shows the main NTDs responsible for mortality, which were: Schistosomiasis, 654 deaths (54.36%), followed by Chagas disease, 211(17.54%) and Leishmaniases, 142 (11.80%). The other diseases totalized 196 deaths (16.30%).

Mortality time trends for NTDs (ASRs and PMRs), by Joinpoint regression analysis, are showed in Figs. 1 and 2, respectively. We observed increasing temporal trends for NTDs (AAPC15: 4.78; 95% CI: 1.5–8.1), Schistosomiasis (AAPC15: 4.65; 95% CI: 0.8–8.7) and Chagas disease (AAPC15: 7.13; 95% CI: 5.4–8.9) in the last 15 years, according to the age-standardized rates, and stability of the mortality trends for Leishmaniases (AAPC15: 1.34; 95% CI: -1.3–4.1). Proportional mortality ratios presented significant increases for NTDs (AAPC15: 5.72; 95% CI: 1.6–10.0) and Chagas disease (AAPC15: 8.59; 95% CI: 6.8–10.4); and stability for Schistosomiasis (AAPC15: 4.98; 95% CI: -0.3–10.6) and Leishmaniases (AAPC15: 0.78; 95% CI: -1.5–3.1) in the last 15 years.

Fig. 1.

Fig. 1

Trends of age-standardized mortality rates by NTDs in the state of Sergipe, Brazil, 1980–2013. * Statistically important. AAPC15: Annual percentage change in the last 15 years

Fig. 2.

Fig. 2

Trends of proportional mortality ratios by NTDs in the state of Sergipe, Brazil, 1980–2013. * Statistically important. AAPC15: Annual percentage change in the last 15 years

Table 2 summarizes the prevailing epidemiological characteristics of mortality from NTDs, highlighting gender, males (59.98%) and age group, 60 plus (41.36%). Similar results were observed for Schistosomiasis and Chagas disease. For Leishmaniases, age group 0-19 was the most predominant. Crude mortality rates, age-specific rates and proportional ratios have its trends exhibited in Table 3. Increasing trends were observed in the following age groups: 0–19 (AAPC15: 3.31; 95% CI: 0.3–6.4) and 60 plus (AAPC15: 6.46; 95% CI: 3.6–9.4). A decreasing trend was observed in age group 20–39 (AAPC15: -2.40; 95% CI: -4.2;-0.6). The findings in PMRs trends were similar, considering age-specific groups.

Table 2.

Epidemiological characteristics of mortality from Neglected Tropical Diseases in the state of Sergipe, Brazil, 1980-2013

Neglected Tropical Diseases Schistosomiasis Chagas disease Leishmaniases
N % 95% CI N % 95% CI N % 95% CI N % 95% CI
Gendera
 Male 721 59.98 57.15 − 62.77 388 59.42 55.54 − 63.21 141 66.82 60.03 − 73.14 89 62.68 54.17 − 70.64
 Female 481 40.02 37.23 − 42.85 265 40.58 36.79 − 44.46 70 33.18 26.86 − 39.97 53 37.32 29.36 − 45.83
Agea
 0 − 19 156 13.47 11.56 − 15.57 18 2.92 1.74 − 4.58 1 0.48 0.01 − 2.63 69 50.36 41.7 − 59.01
 20 − 39 168 14.51 12.53 − 16.67 71 11.53 9.11 − 14.32 23 10.95 7.07 − 15.98 36 26.27 19.13 − 34.48
 40 − 59 355 30.66 28.01 − 33.4 219 35.55 31.77 − 39.48 82 39.05 32.41 − 46.0 21 15.33 9.75 − 22.47
 60 + 479 41.36 38.51 − 44.26 308 50 45.98 − 54.02 104 49.52 42.57 − 56.49 11 8.03 4.08 − 13.91
Total 1 203 100.00 654 100.00 211 100.00 142 100.00

95% CI confidence intervals of 95%

aData not available in all cases (Neglected Tropical Diseases – Gender: 1, Age: 45; Schistosomiasis – Gender: 1, Age: 38; Chagas disease – Age: 1; Leishmaniases – Age: 5)

Table 3.

Joinpoint regression analysis of mortality rates for Neglected Tropical Diseases by age group in the state of Sergipe, Brazil, 1980–2013

Age group Rates per 100 000 Joinpoints Trends Entire period Last 15 years
Start Final Period APC 95% CI AAPC 95% CI AAPC15 95% CI
Crude mortality and age-specific rates
 0 − 19 0.31 0.25 0 1980 − 2013 3.31a 0.3; 6.4 3.31a 0.3; 6.4 3.31a 0.3; 6.4
 20 − 39 1.77 0.66 0 1980 − 2013 −2.40a −4.2; -0.6 −2.40a −4.2; -0.6 −2.40a −4.2; -0.6
 40 − 59 10.60 3.11 2 1980 − 1993 2.84 −4.0; 10.1 −0.6 −12.5; 12.9 3.45 −2.2; 9.4
1993 − 1996 −31.56 −83.1; 177.6
1996 − 2013 3.45 −2.2; 9.4
 60 + 12.93 11.63 3 1980 − 1989 −8.32a −15.7; -0.2 0.4 −8.6; 10.3 6.46a 3.6; 9.4
1989 − 1992 62.46 −33.8; 298.8
1992 − 1996 −32.90 −55.2; 0.5
1996 − 2013 6.46a 3.6; 9.4
 All (CR) 2.81 1.96 3 1980 − 1989 −8.80 −17.5; 0.8 0.1 −11.4; 13.1 5.64a 1.6; 9.8
1989 − 1992 52.58 −56.2; 432.0
1992 − 1997 −22.61 −44.3; 7.6
1997 − 2013 5.64a 1.6; 9.8
 Schistosomiasis (CR) 2.37 0.68 3 1980 − 1989 −7.44a −13.1; -1.4 −2.3 −9.9; 5.9 5.28a 1.0; 9.7
1989 − 1992 47.21 −35.0; 233.2
1992 − 1998 −28.49a −40.8; -13.7
1998 − 2013 5.28a 1.0; 9.7
 Chagas Disease (CR) 0.18 0.77 4 1980 − 1989 −12.70 −28.6; 6.7 4.7 −15.7; 30.0 9.7a 3.1; 16.7
1989 − 1992 95.18 −77.8; 1613.6
1992 − 1995 −31.44 −77.7; 110.5
1995 − 2010 14.99a 10.2; 20.0
2010 − 2013 −7.68 −29.1; 20.2
 Leishmaniases (CR) 0.09 0.14 0 1980 − 2013 −0.11 −2.4; 2.2 −0.11 −2.4; 2.2 −0.11 −2.4; 2.2
Proportional mortality ratios
 0 − 19 0.08 0.20 0 1980 − 2013 7.04a 3.5; 10.7 7.04a 3.5; 10.7 7.04a 3.5; 10.7
 20 − 39 0.73 0.30 0 1980 − 2013 −2.53a −4.2; -0.8 −2.53a −4.2; -0.8 −2.53a −4.2; -0.8
 40 − 59 1.43 0.56 2 1980 − 1993 2.95 −2.6; 8.8 0.0 −10.7; 12.0 5.11 −0.8; 11.4
1993 − 1996 −33.30 −80.7; 130.8
1996 − 2013 5.11 −0.8; 11.4
 60 + 0.32 0.31 3 1980 − 1989 −7.34a −13.9; -0.3 1.0 −7.5; 10.3 6.79a 3.7; 10.0
1989 − 1992 58.97 −30.8; 265.3
1992 − 1996 −31.29 −53.8; 2.1
1996 − 2013 6.79a 3.7; 10.0
 All 0.43 0.35 3 1980 − 1989 −5.47 −13.3; 3.1 0.9 −9.5; 12.4 5.72a 1.6; 10.0
1989 − 1992 42.32 −52.3; 324.8
1992 − 1997 −20.51 −41.9; 8.8
1997 − 2013 5.72a 1.6; 10.0
 Schistosomiasis 0.36 0.12 2 1980 − 1994 3.29 −0.3; 7.1 −0.9 −10.6; 9.7 4.98 −0.3; 10.6
1994 − 1997 −40.21 −80.8; 86.4
1997 − 2013 4.98 −0.3; 10.6
 Chagas Disease 0.03 0.14 0 1980 − 2013 8.59a 6.8; 10.4 8.59a 6.8; 10.4 8.59a 6.8; 10.4
 Leishmaniases 0.01 0.02 0 1980 − 2013 0.78 −1.5; 3.1 0.78 −1.5; 3.1 0.78 −1.5; 3.1

APC annual percent variation, AAPC average annual percent variation, AAPC 15 Annual percent variation in the last 15 years, 95% CI confidence intervals of 95%, CR crude rate

aStatistically important

Discussion

The results from the present study have shown that NTDs are a real and worrisome problem in the state of Sergipe. Until the early 90s, the mortality rates were decreasing, but, from this period on, they showed an increasing trend, mainly for the NTDs (joint analysis), Schistosomiasis and Chagas disease. Unlike a recently published study, which showed Chagas disease as the NTD responsible for the highest mortality in Brazil, followed by Schistosomiasis and Leishmaniases [12], especially in Sergipe, there in an inversion, and Schistosomiasis appears with the highest mortality, followed by Chagas disease and Leishmaniases.

In Latin America, Brazil and particularly the Northeast Region showed the greatest endemic areas for Schistosomiasis, despite the control measures, mainly based on periodical researches in feces of individuals in endemic areas, followed by treatment of the positive cases [12, 13]. These measures decreased the morbidity and mortality, but the disease was not eliminated, and continued to show significant mortality, such as the ones presented in our study [14, 15]. The factors that renders more difficulty in controlling the disease are population migration, unsafe sanitary conditions and appearance of new foci [12, 15]. This is not different in Sergipe, where variables such as temperature, low pluviometric indices, land use, land cover, and soil humidity are factors that contribute to the proliferation of Schistosomiasis and other neglected diseases. Schistosomiasis showed the highest mortality rates, similar to the State of Pernambuco, Northeast of Brazil [16], which predominates in most advanced ages, explained by the chronic nature of the disease and by its association with comorbidities, leading to more severe forms [14]. The lowest rates in younger age groups reflect the direction of the control and treatment programs for children and adolescents [17]. Despite the prevention and treatment programs, Schistosomiasis showed an increasing mortality trend in recent years. This is rather disturbing and reveals the need to prioritize surveillance measures related to the disease and investigation of the factors that are supporting the mortality, taking into account that Sergipe remains as an endemic area [18].

In Chagas disease, the number of deaths appeared higher in individuals over 40 years of age, which shows that infections probably acquired in the past turns prominent in in this age group [19], since acute infections do not play a significant role to mortality in Brazil. Due to the chronic nature of this entity and the increase in life expectancy of the population, it will probably remain high in the future [20]. There are important regional differences related to mortality that can be explained by the efficacy of control measures and vector eradication programs [21]. The latter is paramount in Sergipe, since disease vector has not been eradicated. The mortality trends in Sergipe are increasing and, similar to the mortality for Chagas disease in most areas of the Northeast and North of Brazil, it will remain as an important health problem in coming years [22, 23]. That will pose a great challenge for policy makers, to ensure greater coverage of control measures in the population. Thus, public health preventive actions are needed, followed by appropriate monitoring and evaluation. In spite of the efforts to reduce transmission, there is actually no impact in decreasing mortality rates [24, 25].

Visceral Leishmaniasis is the most common type in the Northeast Region and in Sergipe as well. There was a greater number of deaths in the age group 0–19, and subsequent reduction in the age group 60 plus, which may reflect a sub-notification in the number of deaths of elderly patients. Younger individuals are more prone to have their diagnosis established, rendering a great number of notifications in this age group [26]. The higher mortality rates in children may reflect greater contact with vectors and hosts, immature immunity, and nutritional deficiencies [27, 28]. Studies conclude that the high lethality produced by Leishmaniasis is due to, in addition to other factors, the lack of study on the efficacy of the drugs available in the market [29]. In Sergipe, the mortality trend is stable, despite the disease, vector and host control programs, which favors the need to prioritize measures of surveillance of disease transmission, and treatment.

Mortality rates for the NTDs were higher in elderly patients, who faces the chronic nature of the diseases and comorbidities, thus, contributing to worse outcomes. Besides, there has been some difficulties in the implementation public health policies in the state, and the mere existence of health units does not guarantee full and proper observation of the population demands [8].

The present study was conducted using secondary data, and it may show limitations by sub-notifications and diagnostic errors. Deaths due to NTDs' complications might not be registered correctly, especially if we consider that only the underlying cause of death was verified. Other causes of death, even citing NTDs in other lines were not included, which eventually underestimates the mortality rates. Other authors also faced limitations in research using secondary data [12, 20].

Conclusions

In conclusion, NTDs continue to be important mortality causes in the state of Sergipe, showing increasing mortality trends in the last 15 years. It is necessary to revise public health policies for the control of these neglected diseases, especially to decrease those high mortality rates.

Acknowledgements

Not applicable.

Availability of data and materials

Not applicable.

Authors’ contributions

All authors have contributed to the conception and design of the study. MACA, DMD and LTV had access to the database and conducted the data analysis. CAL and AMS conducted additional analysis and interpretations. MACA and DMD have written the manuscript. MACA, LTV, CAL and AMS conducted the critical review of the manuscript. All authors have read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study was approved by the Human Research Ethics Committee of the Federal University of Sergipe, Brazil, under the registration number 33283714.8.0000.5546 on 08 Nov 2014.

Abbreviations

ASRs

Age-standardized rates

CRs

Crude rates

HAT

Human African Trypanosomiasis

HDIs

Human Development Indices

IBGE

Instituto Brasileiro de Geografia e Estatística [Brazilian Institute of Geography and Statistics]

NTDs

Neglected tropical diseases

PMRs

Proportional mortality ratios

SIM

Sistema de Informações sobre Mortalidade [Mortality Information System]

WHO

World Health Organization

Additional file

Additional file 1: (555.7KB, pdf)

Multilingual abstracts in the five official working languages of the United Nations. (PDF 555 kb)

Contributor Information

Marcos Antônio Costa de Albuquerque, Email: albuquerquemac@uol.com.br.

Danielle Menezes Dias, Email: danielle396@hotmail.com.

Lucas Teixeira Vieira, Email: lucastvieira19@gmail.com.

Carlos Anselmo Lima, Email: ca.lima01@gmail.com.

Angela Maria da Silva, Email: angelmar@infonet.com.br.

References

  • 1.Hotez PJ, Aksoy S. An interfaith dialogue on the neglected tropical diseases. PLoS Negl Trop Dis. 2011;5:e1240. doi: 10.1371/journal.pntd.0001240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.WHO: World Health Organization. http://www.who.int/neglected_diseases/about/en/. Accessed 29 Sept 2015.
  • 3.Werneck GL, Hasselmann MH, Gouvêa TG. An overview of studies on nutrition and neglected diseases in Brazil. Cien Saude Colet. 2011;16:39–62. doi: 10.1590/S1413-81232011000100009. [DOI] [PubMed] [Google Scholar]
  • 4.Lindoso JA, Lindoso AA. Neglected tropical diseases in Brazil. Rev Inst Med Trop Sao Paulo. 2009;51:247–53. doi: 10.1590/S0036-46652009000500003. [DOI] [PubMed] [Google Scholar]
  • 5.Hotez PJ. The giant anteater in the room: Brazil’s neglected tropical diseases problem. PLoS Negl Trop Dis. 2008;2:e177. doi: 10.1371/journal.pntd.0000177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.IBGE (Instituto Brasileiro de Geografia e Estatística). Síntese do Estado de Sergipe em 2015. http://www.ibge.gov.br/estadosat/perfil.php?sigla=se. Accessed 29 Feb 2016.
  • 7.IBGE (Instituto Brasileiro de Geografia e Estatística). Contagem da População 2014. http://cidades.ibge.gov.br/xtras/perfil.php?lang=&codmun=280030&search=sergipe|aracaju|infograficos:-informacoes-completas. Accessed 29 Feb 2016.
  • 8.Final, produto VI–versão. Avaliação ambiental estratégica do PRODETUR nacional no Estado de Sergipe, 2014. http://www.turismo.gov.br/sites/default/turismo/DPROD/AVALIACAO_AMBIENTAL/SE/AAE_SE.pdf. Accessed 29 Feb 2016.
  • 9.Statistical Methodology and Applications Branch, Surveillance Research Program, National Cancer Institute: Joinpoint Regression Program, Version 4.2.0.2 – June 2015. http://surveillance.cancer.gov/joinpoint/.
  • 10.Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19:335–51. doi: 10.1002/(SICI)1097-0258(20000215)19:3<335::AID-SIM336>3.0.CO;2-Z. [DOI] [PubMed] [Google Scholar]
  • 11.Clegg LX, Hankey BF, Tiwari R, Feuer EJ, Edwards BK. Estimating average annual per cent change in trend analysis. Stat Med. 2009;28:3670–82. doi: 10.1002/sim.3733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Martins-Melo FR, Ramos AN, Alencar CH, Heukelbach J. Mortality from neglected tropical diseases in Brazil, 2000–2011. Bull World Health Organ. 2016;94:103–10. doi: 10.2471/BLT.15.152363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hotez PJ, Fujiwara RT. Brazil’s neglected tropical diseases: an overview and a report card. Microbes Infect. 2014;16:601–6. doi: 10.1016/j.micinf.2014.07.006. [DOI] [PubMed] [Google Scholar]
  • 14.Martins-Melo FR, Pinheiro MC, Ramos AN, Alencar CH, Bezerra FS, Heukelbach J. Trends in schistosomiasis-related mortality in Brazil, 2000–2011. Int J Parasitol. 2014;44:1055–62. doi: 10.1016/j.ijpara.2014.07.009. [DOI] [PubMed] [Google Scholar]
  • 15.Amaral RS, Tauil PL, Lima DD, Engels D. An analysis of the impact of the Schistosomiasis Control Programme in Brazil. Mem Inst Oswaldo Cruz. 2006;101(Suppl 1):79–85. doi: 10.1590/S0074-02762006000900012. [DOI] [PubMed] [Google Scholar]
  • 16.Resendes AP, Souza-Santos R, Barbosa CS. Hospitalization and mortality from mansoni schistosomiasis in the state of Pernambuco, Brazil, 1992/2000. Cad Saude Publica. 2005;21:1392–401. doi: 10.1590/S0102-311X2005000500011. [DOI] [PubMed] [Google Scholar]
  • 17.Silveira AC, Vasconcelos MF, Melo JE. Mortality caused by schistosomiasis in Brazil, 1977–1986. Rev Soc Bras Med Trop. 1990;23:133–40. doi: 10.1590/S0037-86821990000300001. [DOI] [PubMed] [Google Scholar]
  • 18.DATASUS. http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sinan/pce/cnv/pce.def. Accessed 29 Sept 2015.
  • 19.Alves RM, Thomaz RP, Almeida EA, Wanderley JS, Guariento ME. Chagas’ disease and ageing: the coexistence of other chronic diseases with Chagas’ disease in elderly patients. Rev Soc Bras Med Trop. 2009;42:622–8. doi: 10.1590/S0037-86822009000600002. [DOI] [PubMed] [Google Scholar]
  • 20.Martins-Melo FR, Alencar CH, Ramos AN, Heukelbach J. Epidemiology of mortality related to Chagas’ disease in Brazil, 1999–2007. PLoS Negl Trop Dis. 2012;6:e1508. doi: 10.1371/journal.pntd.0001508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Dias JC, Prata A, Correia D. Problems and perspectives for Chagas disease control: in search of a realistic analysis. Rev Soc Bras Med Trop. 2008;41:193–6. doi: 10.1590/S0037-86822008000200012. [DOI] [PubMed] [Google Scholar]
  • 22.Drumond JA, Marcopito LF. Internal migration and distribution of Chagas disease mortality, Brazil, 1981–1998. Cad Saude Publica. 2006;22:2131–40. doi: 10.1590/S0102-311X2006001000019. [DOI] [PubMed] [Google Scholar]
  • 23.Silveira AC. Entomological survey (1975–1983) Rev Soc Bras Med Trop. 2011;44 Suppl 2:26–32. doi: 10.1590/S0037-86822011000800005. [DOI] [PubMed] [Google Scholar]
  • 24.Ostermayer AL, Passos AD, Silveira AC, Ferreira AW, Macedo V, Prata AR. The national survey of seroprevalence for evaluation of the control of Chagas disease in Brazil (2001-2008) Rev Soc Bras Med Trop. 2011;44(Suppl 2):108–21. doi: 10.1590/S0037-86822011000800015. [DOI] [PubMed] [Google Scholar]
  • 25.Martins-Melo FR, Ramos AN, Alencar CH, Heukelbach J. Prevalence of Chagas disease in Brazil: a systematic review and meta-analysis. Acta Trop. 2014;130:167–74. doi: 10.1016/j.actatropica.2013.10.002. [DOI] [PubMed] [Google Scholar]
  • 26.Martins-Melo FR, Lima MS, Ramos AN, Alencar CH, Heukelbach J. Mortality and case fatality due to visceral leishmaniasis in Brazil: a nationwide analysis of epidemiology, trends and spatial patterns. PLoS One. 2014;9:e93770. doi: 10.1371/journal.pone.0093770. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Oliveira AL, Paniago AM, Dorval ME, Oshiro ET, Leal CR, Sanches M, Cunha RV, Bóia MN. Emergent outbreak of visceral leishmaniasis in Mato Grosso do Sul State. Rev Soc Bras Med Trop. 2006;39:446–450. doi: 10.1590/S0037-86822006000500005. [DOI] [PubMed] [Google Scholar]
  • 28.Madalosso G, Fortaleza CM, Ribeiro AF, Cruz LL, Nogueira PA, Lindoso JA. American visceral leishmaniasis: factors associated with lethality in the state of São Paulo, Brazil. J Trop Med. 2012;2012:281572. doi: 10.1155/2012/281572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Alvarenga DG, Escalda PM, Costa AS, Monreal MT. Visceral leishmaniasis: retrospective study on factors associated with lethality. Rev Soc Bras Med Trop. 2010;43:194–197. doi: 10.1590/S0037-86822010000200017. [DOI] [PubMed] [Google Scholar]

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