Determining the Incidence Rate and Risk Factors of Brucellosis in Zanjan Province (Iran) from 2012 to 2017: a Spatiotemporal Analysis
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Original Article | J Adv Med Biomed Res. 2020; 28(130): 247-252 Journal of Advances in Medical and Biomedical Research | ISSN:2676-6264 Determining the Incidence Rate and Risk Factors of Brucellosis in Zanjan Province (Iran) from 2012 to 2017: A Spatiotemporal Analysis Zahra Rostami1 , Soghrat Faghihzadeh*2 , Behrouz Tagilou3 , Younes Khosravi4 1. Student Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran 2. Dept. of Biostatistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran 3. Dept. of Entomology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran 4. Dept. of Environmental Sciences, School of Sciences, University of Zanjan, Zanjan, Iran Article Info ABSTRACT 10.30699/jambs.28.130.247 Background & Objective: Zanjan is reported as a hotspot region of brucellosis infection in Iran. This longitudinal study aimed to determine the epidemiologic pattern, as well as the risk of brucellosis by using geospatial estimation in Zanjan Received: 2019/09/06; province. Accepted: 2020/09/16; Published Online: 21 Sep 2020; Materials & Methods: The data used in this study were collected from health centers in Zanjan province from 2012 to 2017 after obtaining the approval of the Committee Use your device to scan and read the of Fighting Infectious Diseases. This longitudinal study was used to determine the article online annual pattern of the disease and identify high-risk areas using Moran’s statistics, and then was analyzed using the spatiotemporal Cox model. Results: This research showed that the number of affected people in the province was increased after 2012, and the maximum number was observed from 2013 to 2014. However, from 2015 to 2016, there was a significant decrease. Spatial variations showed that the incidence of the disease increased in all areas over these six years. The temporal variations indicated that, from 2012 to 2017, the incidence of brucellosis in spring and summer was higher than in other seasons; thereafter, the incidence peak Corresponding Information: was witnessed in June, July, and August. Soghrat Faghihzadeh, Conclusion: The results of this study can be used to determine the starting point of Dept. of Biostatistics and Epidemiology, School of Medicine, Zanjan University future programs and evaluate their effectiveness. of Medical Sciences, Zanjan, Iran Keywords: Brucella infection, Geospatial, Longitudinal, Trend, Iran E-Mail: [email protected] Copyright © 2020, This is an original open-access article distributed under the terms of the Creative Commons Attribution-noncommercial 4.0 International License which permits copy and redistribution of the material just in noncommercial usages with proper citation. Introduction Brucellosis is the most common zoonotic disease as high-risk regions (2). In Iran, 68,493 cases were among humans and animals; it is also known as reported from 2011 to 2014, with an incidence rate of undulant fever, wavy fever, Malta fever, and 38.6 per 100,000 people (3). In addition, Zanjan Mediterranean fever (1). Brucellosis is caused by the province is estimated as a region with a high incidence Brucella species of bacteria and presents itself as acute, rate (21–30 per 100,000 in 2010). Therefore, health under acute, and chronic categories. The disease is care professionals, mainly those in developing transmitted through direct or indirect contact between countries, need modern technologies to confront humans and infected animals. It has gained attention numerous illnesses and deaths in order to be able to from both economic and health prospects because of study the role of space in generating and spreading miscarriages in animals (barrenness), reductions in infectious diseases. Considering countries’ inabilities milk production, and economic losses of infected to restrict the spread of brucellosis and manage it, livestock. In addition, it causes intense side effects in scientific evaluations to improve our conception of patients, including fever, malaise, weakness, and biology and human behavior can lead us to better weight loss. The infected milk and other dairy products manage and control the disease. from animals are the most widespread source of oral The brucellosis incidence rate depends on time and transmission of Brucella (1). region, whereas the different distributions of disease About 500,000 new cases and 14×105 deaths are and incidence rates are reported the provinces in Iran reported by the World Health Organization (WHO) (1, 3). Studies have estimated spatiotemporal patterns each year; the Mediterranean countries are considered of disease distribution in Iran and throughout the world Volume 28, September & October 2020 Journal of Advances in Medical and Biomedical Research 248 Incidence Rate and Risk Factors of Brucellosis in Zanjan Province by using different methods (2–5). However, there is no inhabitants, and comprises 71 rural and 44 urban study regarding the brucellosis distribution using these regions. The 2,829 brucellosis infected cases in the methods in Zanjan province. The autoregressive province were confirmed by the Health Deputy integrated moving average (ARIMA) model is a widely Department of Zanjan University of Medical Sciences used model that can use past and present information and utilized for analysis. The data used in this study to predict the future. The ARIMA model (5, 6), were collected from the health centers of Zanjan geographic information systems (GIS), spatial weights province over six years. They were used for the study empirical Bayes smoothing (7), and scan statistics (8) after gaining the approval of the Committee of Fighting have been applied to predict spatiotemporal models. Infectious Diseases. The literature has reported some limitations of these It was essential to account for the local and temporal methods, including the false discovery rate due to autocorrelation patterns in the data analysis to make multiple testing, length of the scan window, and statistically unbiased estimates of the parameters in the selection of the number of clusters (9, 10). Accounting geographical and trend analyses. The spatiotemporal spatial correlations or structured heterogeneity can help Cox model holds the assumption of variance inflation, assess interactions between time and area to obtain in which incidence rates are dependent among times accurate estimates of risk distributions (11, 12). and neighbors. The brucellosis incidence rate was Currently, there are no standards to describe the disease estimated based on the population at risk in each in a spatiotemporal way. The present study offers a new region. The global Moran’s I and Anselin Local approach to tackling the problems identified in the Moran’s I were used to account for autocorrelation previous studies and attempts to improve the patterns across regions. Moran’s I was used to estimate methodology of future studies. the degree of dispersion in space. A spatiotemporal estimation of brucellosis incidence In this study, the spatiotemporal model was used per rates has not yet been investigated by using this the following formula (13-17). approach in Zanjan province, which is a high-risk Λ (x, t) = 휆(x) (t) R (x, t). region, and there are substantial knowledge gaps regarding its incidence rate. The present study aims to (1) provide a pattern of brucellosis distribution during a six-year period in urban and rural regions of Zanjan Results province using a mapping analysis model and (2) In total, 2,829 cases of brucellosis were notified from estimate the trend of brucellosis incidence rates from 2012 to 2017, whereas the estimated incidence rate was 2012 to 2018. 44.6 per 100,000 people during the study period. Table 1 shows demographic distribution data concerning brucellosis from 2012 to 2017, separated by cities, Materials and Methods areas, gender, and occupations. Figure 1 shows developing spatial patterns and spatial distribution of This longitudinal study was conducted using brucellosis according to the number of patients in confirmed brucellosis cases in Zanjan province from Zanjan city using ArcGIS 10.3. 2012 to 2017. Zanjan lies 298 km north-west of Tehran. It has an area of 21,773 km², includes 430,871 Table 1. Demographic distribution data concerning brucellosis during 2012–2017 Region 2012 2013 2014 2015 2016 2017 Abhar 7 31 46 32 18 15 Ijroud 12 9 27 48 24 17 Khodabande 162 177 227 195 224 162 Khormdare 16 24 24 28 12 18 Cities Zanjan 46 107 177 120 162 143 Tarom 21 22 17 39 22 10 Mahneshan 13 45 64 107 65 46 Soltaniyeh 0 0 2 19 14 13 Total 277 415 584 588 541 424 Occupations Livestock Farmer 22.59 35.31 26.03 49.09 42.96 32.55 Volume 28, September & October 2020 Journal of Advances in Medical and Biomedical Research Zahra Rostami et al. 249 Region 2012 2013 2014 2015 2016 2017 Farmer 14.61 12.11 16.09 4.78 5.37 11.32 Housekeeper 37.08 25.51 33. 9 23.58 33.7 34.67 Student 7.86 11.6 12.33 9.23 6.85 3.54 Child 2.25 3.86 3.59 3.58 1.67 2.59 Other 8.61 11.6 8.05 9.74 9.44 15.33 Urban Male 31 34 41 55 30 39 Urban Female 18 25 51 27 36 36 Areas and Total 49 59 92 82 66 75 gender Rural Male 125 220 293 295 259 196 Rural Female 101 122 199 211 216 154 Total 266 342 492 506 475 349 Table 2. Generalized Additive Model (GAM) model for spatial and temporal changes of brucellosis during six years in Zanjan province Assessment Confidence interval % 95 P-value Experience of consuming -0.274 -45.364 44815 0.9904 unpasteurized dairy products Occupation 1.378 -5.482 8.238 0.693 Special County 7.825 2.658 12.993 0.003 Area 15.322 -10.585 41.230 0.246 Year of record 215.4 1.929 237.88 2e-16 Experience of consuming 180.4 0.1793 342.91 `0.0296 unpasteurized dairy product Vaccination record of livestock -754 -8.246 -683.32 2e-16 Temporal Record of touching livestock -0.288 -1.474 0.896 0.632 Occupation -0.216 -0.4837 0.0501 0.111 Gender -0.0241 -0.7086 0.660 0.944 Volume 28, September & October 2020 Journal of Advances in Medical and Biomedical Research 250 Incidence Rate and Risk Factors of Brucellosis in Zanjan Province Figure 1.