Epidemiology and Health

Original Articles

Spatial analysis of human Coxiella burnetii infection and populations of goat and cattle in Korea, 2015-2024: Seung-Bum Kang, Dae Sung Yoo; Epidemiol Health. 2025;47:e2025068. Published online December 9, 2025; DOI: https://doi.org/10.4178/epih.e2025068

598 View
48 Download

Abstract Summary PDF: Abstract
OBJECTIVES
Q fever is a bacterial zoonosis that occurs worldwide. Although several studies have reported associations between goat populations and human Q fever outbreaks in Korea, spatial correlation analyses remain limited. Therefore, this study examined the geographic correlation between human Q fever outbreaks and the distributions of goats and cattle in Korea.
METHODS
This study covered a 10-year period (2015-2024), using each of the 250 districts in Korea as the unit of analysis. Data were divided into 2 time periods: 2015-2019 and 2020-2024. Hotspots for the standardized incidence ratio (SIR) were identified using Getis-Ord Gi*. Spatial correlations between SIR and goat and cattle populations were evaluated using a multivariable spatial error model, and the associations between hotspot variables and livestock abundance were assessed using a multivariable Leroux conditional autoregressive model.
RESULTS
SIRs for human Q fever showed significant positive spatial associations with goat populations in 2016 (coefficient=46.52, p<0.01) and 2021 (coefficient=70.97, p<0.01). The associations between goat populations (2016 and 2021) and hotspot classifications were consistent across both periods, with the odds ratio increasing from 1.87 (95% credible interval [CrI], 1.23 to 2.85) in 2015-2019 to 2.33 (95% CrI, 1.55 to 3.64) in 2020-2024. No significant associations were observed between human Q fever and cattle populations.
CONCLUSIONS
Goat populations are becoming more strongly spatially correlated with human Q fever incidence. These findings underscore the need for enhanced preventive management of goat farms to mitigate future outbreaks.; Summary

Korean summary
본 연구는 2015~2024년 국내 사람 큐열 발생과 가축 개체수 간의 공간적 상관관계를 분석한 최초의 연구이다. 분석 결과, 사람 큐열 발생은 염소 개체수와 유의한 양의 상관관계를 보였으며 그 연관성은 최근 더욱 강화된 반면, 소 개체수와는 유의미한 연관성이 나타나지 않았다. 이는 향후 인수공통감염병 발생 억제를 위해 염소 농가에 특화된 예방적 관리와 방역 교육이 필수적임을 시사한다.

Key Message
This study is the first to analyze the spatial correlation between human Q fever outbreaks and livestock populations in South Korea from 2015 to 2024. The results reveal a significant positive spatial association between human Q fever incidence and goat populations, which strengthened over the 10-year period, whereas no such correlation was found with cattle. These findings highlight the urgent need for enhanced preventive management and biosecurity education specifically for goat farms to mitigate future zoonotic outbreak.

Spatial patterns of laboratory-confirmed leptospirosis in north-eastern Peninsular Malaysia, 2016-2023: Hazlienor Mohd Hatta, Kamarul Imran Musa, Nik Mohd Hafiz Mohd Fuzi, Paula Moraga; Epidemiol Health. 2025;47:e2025030. Published online May 29, 2025; DOI: https://doi.org/10.4178/epih.e2025030

5,190 View
118 Download

Abstract Summary PDF Supplementary Material: Abstract
OBJECTIVES
Leptospirosis presents significant public health challenges in endemic regions such as north-eastern Peninsular Malaysia. Spatial analysis is essential for visualising disease incidence and distribution, assessing vulnerability based on geographical and socioeconomic factors, and ultimately informing targeted interventions, optimising resource allocation, and enhancing surveillance strategies. This study aimed to determine the incidence and characterise the spatial distribution of leptospirosis in Kelantan, Malaysia.
METHODS
All laboratory-confirmed leptospirosis cases reported in Kelantan between 2016 and 2023 were extracted from the Communicable Disease Control Information System e-Notifikasi online database. Spatial analyses were performed using the spatstat, spdep, and ggplot2 packages within the RStudio integrated development environment.
RESULTS
The analysis encompassed 1,534 laboratory-confirmed leptospirosis cases. The average crude annual incidence of leptospirosis cases per 1,000 population from 2016 to 2023 was 0.101 (95% confidence interval, 0.038 to 0.164). Incidence varied considerably across districts and subdistricts, initially higher in the north but declining over time, while consistently high and increasing incidence was observed in the southern region. Significant clustering of leptospirosis cases occurred throughout the studied years, except during the coronavirus disease 2019 pandemic. Hotspots were initially prevalent in northern areas but later emerged in south-eastern and southern regions. Significant spatial autocorrelation evolved from high-low to high-high clusters, particularly evident in central and southern regions.
CONCLUSIONS
This study provides valuable local epidemiological and spatial insights into the endemicity of leptospirosis. The findings highlight the need for targeted interventions and continued surveillance to effectively mitigate the leptospirosis burden in endemic areas.; Summary

Key Message
• This study examined leptospirosis patterns in Kelantan, Malaysia, from 2016 to 2023, highlighting distinct regional varia- tions in disease incidence. • Case densities were high in the northern region, whereas incidence demonstrated higher risk in the central and southern regions. • The study underscores the importance of considering both geographic location and population dynamics when planning interventions and allocating resources for disease control. • The evident spatial clustering highlights the need for targeted public health interventions.

Geospatial analysis of neonatal mortality in north-eastern India: a multilevel Bayesian approach: Vidhi Jain, Kh. Jitenkumar Singh, Deboshree Das, Shefali Gupta, Gunjan Singh; Epidemiol Health. 2025;47:e2025021. Published online April 27, 2025; DOI: https://doi.org/10.4178/epih.e2025021

6,599 View
180 Download

Abstract PDF: Abstract
OBJECTIVES
Neonatal mortality remains a significant public health issue in India. This study investigates spatial patterns and contributing factors to neonatal mortality in the north-eastern states, identifying hotspot regions and spatial variations.
METHODS
A sample of 34,222 mothers from India’s National Family Health Survey (NFHS-5, 2019-21) in the north-eastern states was analysed. Descriptive and bivariate analyses were conducted alongside Bayesian multilevel logistic regression using integrated nested Laplace approximation to model neonatal mortality. Spatial hotspot analysis using Getis-Ord Gi* statistics identified clusters of high neonatal mortality, while geographically weighted regression (GWR) was used to examine spatial variations in the relationships between neonatal mortality and contributing factors.
RESULTS
The neonatal mortality rate in the north-eastern states declined from 45 to 21 per 1,000 live births (NFHS-1 to NFHS-5) but remains higher than the national average. Assam reported the highest mortality (42.16%), whereas Sikkim had the lowest (0.87%). Higher mortality was observed among male infants, mothers with advanced age, low maternal education, and mothers who attended less than 5 antenatal care (ANC) visits. Spatial analysis identified hotspots in Assam, Meghalaya, and Tripura. GWR indicated that areas with less than 5 ANC visits had the strongest association with neonatal mortality. Bayesian multilevel analysis highlighted spatial variations of up to 51% across districts in northeast India.
CONCLUSIONS
This study underscores spatial disparities in neonatal mortality across north-eastern India. Addressing childcare practices and healthcare access in hotspot regions is essential for improving new-born health outcomes. The findings provide critical insights for policymakers to develop targeted interventions aimed at reducing neonatal mortality in these underserved areas.; Summary

Spatial analysis of tuberculosis treatment outcomes in Shanghai: implications for tuberculosis control: Jing Zhang, Xin Shen, Chongguang Yang, Yue Chen, Juntao Guo, Decheng Wang, Jun Zhang, Henry Lynn, Yi Hu, Qichao Pan, Zhijie Zhang; Epidemiol Health. 2022;44:e2022045. Published online May 1, 2022; DOI: https://doi.org/10.4178/epih.e2022045

17,785 View
407 Download
3 Web of Science
3 Crossref

Abstract Summary PDF Supplementary Material

Abstract

OBJECTIVES
Tuberculosis (TB) treatment outcomes are a key indicator in the assessment of TB control programs. We aimed to identify spatial factors associated with TB treatment outcomes, and to provide additional insights into TB control from a geographical perspective.

METHODS

We collected data from the electronic TB surveillance system in Shanghai, China and included pulmonary TB patients registered from January 1, 2009 to December 31, 2016. We examined the associations of physical accessibility to hospitals, an autoregression term, and random hospital effects with treatment outcomes in logistic regression models after adjusting for demographic, clinical, and treatment factors.

RESULTS

Of the 53,475 pulmonary TB patients, 49,002 (91.6%) had successful treatment outcomes. The success rate increased from 89.3% in 2009 to 94.4% in 2016. The successful treatment outcome rate varied among hospitals from 78.6% to 97.8%, and there were 12 spatial clusters of poor treatment outcomes during the 8-year study period. The best-fit model incorporated spatial factors. Both the random hospital effects and autoregression terms had significant impacts on TB treatment outcomes, ranking 6th and 10th, respectively, in terms of statistical importance among 14 factors. The number of bus stations around the home was the least important variable in the model.

CONCLUSIONS

Spatial autocorrelation and hospital effects were associated with TB treatment outcomes in Shanghai. In highly-integrated cities like Shanghai, physical accessibility was not related to treatment outcomes. Governments need to pay more attention to the mobility of patients and different success rates of treatment among hospitals.

Summary

Key Message
Tuberculosis treatment outcomes, a key indicator in the assessment of TB control programs, were associated with spatial autocorrelation and hospital effects in Shanghai; however, they were not associated with physical accessibility to hospitals.

Citations

Citations to this article as recorded by

Tuberculosis treatment outcomes and associated factors among patients treated at Bosaso TB Hospital, Bosaso, Somalia: A five-year retrospective study
Saaid Said Jama, Mohamed Mohamud Abdi, Rodney Adam
PLOS ONE.2025; 20(1): e0314693. CrossRef
Examining the efficacy of treatment outcomes for patients with pulmonary tuberculosis in Western China: A retrospective study in a region of high incidence
Jian Zhou, Jinlan Li, Yong Hu, Shijun Li
BMC Public Health.2025;[Epub] CrossRef
Geospatial analysis of shared risks for tuberculosis transmission in an urban cohort
Michael Asare-Baah, Tan M. Luong, Ernest Kwarteng, Charles Domotey, Nellie Arthur, Magalie Zoungrana, Sheila Mireku-Apah, Honesty Ganu, Michael Amo Omari, Adelaide Sackey, Awewura Kwara, Jane Sandra Afriyie-Mensah, Marie Nancy Séraphin
Scientific Reports.2025;[Epub] CrossRef

Modeling the relationship between malaria prevalence and insecticide-treated bed net coverage in Nigeria using a Bayesian spatial generalized linear mixed model with a Leroux prior: Oluyemi A. Okunlola, Oyetunde T. Oyeyemi, Adewale F. Lukman; Epidemiol Health. 2021;43:e2021041. Published online June 4, 2021; DOI: https://doi.org/10.4178/epih.e2021041

21,196 View
351 Download
9 Web of Science
10 Crossref

Abstract Summary PDF

Abstract

OBJECTIVES
To evaluate malaria transmission in relation to insecticide-treated net (ITN) coverage in Nigeria.

METHODS

We used an exploratory analysis approach to evaluate variation in malaria transmission in relation to ITN distribution in 1,325 Demographic and Health Survey clusters in Nigeria. A Bayesian spatial generalized linear mixed model with a Leroux conditional autoregressive prior for the random effects was used to model the spatial and contextual variation in malaria prevalence and ITN distribution after adjusting for environmental variables.

RESULTS

Spatial smoothed maps showed the nationwide distribution of malaria and ITN. The distribution of ITN varied significantly across the 6 geopolitical zones (p<0.05). The North-East had the least ITN distribution (0.196±0.071), while ITN distribution was highest in the South-South (0.309±0.075). ITN coverage was also higher in rural areas (0.281±0.074) than in urban areas (0.240±0.096, p<0.05). The Bayesian hierarchical regression results showed a non-significant negative relationship between malaria prevalence and ITN coverage, but a significant spatial structured random effect and unstructured random effect. The correlates of malaria transmission included rainfall, maximum temperature, and proximity to water.

CONCLUSIONS

Reduction in malaria transmission was not significantly related to ITN coverage, although much could be achieved in attempts to curtail malaria transmission through enhanced ITN coverage. A multifaceted and integrated approach to malaria control is strongly advocated.

Summary

Key Message
Scaling up equity in ITN distribution and coverage, awareness and knowledge on ITN utilization are important integrated approaches to mitigate malaria transmission in Nigeria.

Citations

Citations to this article as recorded by

Modelling the impact of climatic and environmental variables on malaria incidence in Tanzania: Implications for achieving the WHO’s 2030 Targets
Angelina Mageni Lutambi, Basiliana Emidi, Fredrick George Mbuya, Michael Ryoba, Thadei Damas Sagamiko, Alfred Kisuda Hugo, Isambi Sailon Mbalawata, Collins Otieno Asweto
PLOS Global Public Health.2025; 5(8): e0005075. CrossRef
Mapping of access and usage of insecticide-treated nets in Nigeria
Faith Eshofonie, Osafu Augustine Egbon, Ezra Gayawan
Malaria Journal.2025;[Epub] CrossRef
Bayesian hierarchical spatial ecological model assessing the nexus of vegetation index, insecticide-treated bed-nets and livestock cattle density on lymphatic filariasis transmission
Oluyemi Adewole Okunlola, Dorcas Modupe Okewole, Oyetunde Timothy Oyeyemi
BMC Public Health.2025;[Epub] CrossRef
Vegetation index and livestock practices as predictors of malaria transmission in Nigeria
Oluyemi Okunlola, Segun Oloja, Ayooluwade Ebiwonjumi, Oyetunde Oyeyemi
Scientific Reports.2024;[Epub] CrossRef
Assessing the relationship between malaria incidence levels and meteorological factors using cluster-integrated regression
Miracle Amadi, K. K. W. Hasitha Erandi
BMC Infectious Diseases.2024;[Epub] CrossRef
Determinants of malaria spread among under-five children in Nigeria: results from a 2021 Nigerian malaria indicator cross-sectional survey
Isaac Isiko, Simon Nyegenye, Aaron Mwesigwa, Jackson Micheal Asingwire, Haron Olot, Shekina-Rhoda Chioma Amaka, Lenz Nwachinemere Okoro, Praise Amarachi Amaka Etane
BMC Pediatrics.2024;[Epub] CrossRef
Socio-demographic factors, housing characteristics, and clinical symptoms associated with falciparum malaria in two rapidly urbanizing areas in the Ashanti region of Ghana
Stephen Opoku Afriyie, Kwasi Baako Antwi, Abdul-Hakim Mutala, Dawood Ackom Abbas, Kofi Agyapong Addo, Austine Tweneboah, Thomas Kwame Addison, Eric Osei, Cristian Koepfli, Kingsley Badu
Malaria Journal.2024;[Epub] CrossRef
A Systematic Review of Areal Units and Adjacency Used in Bayesian Spatial and Spatio-Temporal Conditional Autoregressive Models in Health Research
Zemenu Tadesse Tessema, Getayeneh Antehunegn Tesema, Susannah Ahern, Arul Earnest
International Journal of Environmental Research and Public Health.2023; 20(13): 6277. CrossRef
Malaria transmission in Africa: Its relationship with yellow fever and measles
Oluyemi A. Okunlola, Oyetunde T. Oyeyemi, Luzia Helena Carvalho
PLOS ONE.2022; 17(5): e0268080. CrossRef
Bayesian spatio-temporal modelling and mapping of malaria and anaemia among children between 0 and 59 months in Nigeria
Jecinta U. Ibeji, Henry Mwambi, Abdul-Karim Iddrisu
Malaria Journal.2022;[Epub] CrossRef

Epidemiologic Investigation

How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time: Meysam Olfatifar, Seyed Mehdi Hosseini, Payam Shokri, Soheila Khodakarim, Naghmeh Khadembashi, Sajjad Rahimi Pordanjani; Epidemiol Health. 2020;42:e2020058. Published online August 10, 2020; DOI: https://doi.org/10.4178/epih.e2020058

19,526 View
191 Download
7 Web of Science
5 Crossref

Abstract PDF

Abstract

OBJECTIVES
Spatial information makes a crucial contribution to enhancing and monitoring the brucellosis surveillance system by facilitating the timely diagnosis and treatment of brucellosis.

METHODS

An exponential scan statistic model was used to formalize the spatial distribution of the adjusted delay in the diagnosis time of brucellosis (time between onset and diagnosis of the disease) in Kurdistan Province, Iran. Logistic regression analysis was used to compare variables of interest between the clustered and non-clustered areas.

RESULTS

The spatial distribution of clusters of human brucellosis cases with delayed diagnoses was not random in Kurdistan Province. The mean survival time (i.e., time between symptom onset and diagnosis) was 4.02 months for the short spatial cluster, which was centered around the city of Baneh, and was 4.21 months for spatiotemporal clusters centered around the cities of Baneh and Qorveh. Similarly, the mean survival time for the long spatial and spatiotemporal clusters was 6.56 months and 15.69 months, respectively. The spatial distribution of the cases inside and outside of clusters differed in terms of livestock vaccination, residence, sex, and occupational variables.

CONCLUSIONS

The cluster pattern of brucellosis cases with delayed diagnoses indicated poor performance of the surveillance system in Kurdistan Province. Accordingly, targeted and multi-faceted approaches should be implemented to improve the brucellosis surveillance system and to reduce the number of lost days caused by delays in the diagnosis of brucellosis, which can lead to long-term and serious complications in patients.

Summary

Citations

Citations to this article as recorded by

Spatiotemporal epidemiology of brucellosis in Iran from 2009 to 2018: A mixed ecological study
Sajjad Rahimi Pordanjani, Ghobad Moradi, Behrad Pourmohammadi, Elaheh Mazaheri, Farshid Farivar, Somayeh Derakhshan
Journal of Research in Medical Sciences.2025;[Epub] CrossRef
Asymmetric Effects of Weather‐Integrated Human Brucellosis Forecasting System Using a New Nonlinear Autoregressive Distributed Lag Model
Yongbin Wang, Chenlu Xue, Bingjie Zhang, Yuchun Li, Chunjie Xu, Daniel Diaz
Transboundary and Emerging Diseases.2024;[Epub] CrossRef
Spatio-temporal Analysis of COVID-19: A Global Study
Sajjad Rahimi Pordanjani, Maryam Mohammadian, Somayeh Derakhshan, Fatemeh Hadavandsiri, Seyed Saeed Hashemi Nazari, Mohammad Hossein Panahi
Middle East Journal of Rehabilitation and Health Studies.2023;[Epub] CrossRef
Factors Associated With Diagnostic Delays in Human Brucellosis in Tongliao City, Inner Mongolia Autonomous Region, China
Jingbo Zhai, Ruihao Peng, Ying Wang, Yuying Lu, Huaimin Yi, Jinling Liu, Jiahai Lu, Zeliang Chen
Frontiers in Public Health.2021;[Epub] CrossRef
Clinical Effect of Doxycycline Combined with Compound Sulfamethoxazole and Rifampicin in the Treatment of Brucellosis Spondylitis
Xin-Ming Yang, Yong-Li Jia, Ying Zhang, Pei-Nan Zhang, Yao Yao, Yan-Lin Yin, Ye Tian
Drug Design, Development and Therapy.2021; Volume 15: 4733. CrossRef

Original Articles

Temporal trend and spatial distribution of acute lymphoblastic leukemia in Iranian children during 2006-2014: a mixed ecological study: Sajjad Rahimi Pordanjani, Amir Kavousi, Babak Mirbagheri, Abbas Shahsavani, Koorosh Etemad; Epidemiol Health. 2020;42:e2020057. Published online July 29, 2020; DOI: https://doi.org/10.4178/epih.e2020057

21,967 View
216 Download
11 Web of Science
11 Crossref

Abstract PDF

Abstract

OBJECTIVES
The present study investigated the spatiotemporal epidemiological status of acute lymphoblastic leukemia (ALL), the most common childhood cancer, in Iran.

METHODS

Using an exploratory mixed design, this ecological study examined 3,769 under-15 children with ALL recorded in the National Cancer Registry of Iran during 2006-2014. Data were analyzed using the Mann-Whitney U test, the Getis-Ord general G (GOGG) index, optimized hot spot analysis, and Pearson correlation coefficients (PCC) at a significance level of 0.05.

RESULTS

The average annual incidence of the disease was 2.25 per 100,000 under-15 children, and the cumulative incidence rate (CIR) was 21.31 per 100,000 under-15 children. Patients’ mean age was 5.90 years (standard deviation, 3.68), and the peak incidence was observed among 2-year to 5-year-olds. No significant difference was found in mean age between boys and girls (p=0.261). The incidence of ALL was more common during spring and summer than in other seasons. The GOGG index was 0.039 and significant (p<0.001). Hot spots were identified in south, central, and eastern Iran and cold spots in the north and west of Iran. The PCC between the CIR and latitude was negative (r=-0.507; p=0.003) but that between the CIR and longitude was positive (r=0.347; p=0.055).

CONCLUSIONS

The incidence of ALL in Iranian children was lower than that observed in developed countries, but showed an increasing trend. It can be argued that the incidence of ALL is due to synergistic interactions between environmental, infectious, geographical, and genetic risk factors.

Summary

Citations

Citations to this article as recorded by

Spatiotemporal epidemiology of brucellosis in Iran from 2009 to 2018: A mixed ecological study
Sajjad Rahimi Pordanjani, Ghobad Moradi, Behrad Pourmohammadi, Elaheh Mazaheri, Farshid Farivar, Somayeh Derakhshan
Journal of Research in Medical Sciences.2025;[Epub] CrossRef
Epidemiology of the Incidence, Prevalence, and Mortality of Thalassemia in Iran: A Secondary Analysis of Global Burden of Disease 2019
Kazhaal Sheikhi, Saba Nouri Vahed, Sajjad Rahimi Pordanjani, Victoria Momenabadi, Zaher khazaei, Mehrshad Azizi, Elham Goodarzi
Health Science Reports.2025;[Epub] CrossRef
Epidemiology of childhood acute leukemias in marginalized populations of the central-south region of Mexico: results from a population-based registry
Janet Flores-Lujano, Aldo Allende-López, David Aldebarán Duarte-Rodríguez, Erika Alarcón-Ruiz, Lizbeth López-Carrillo, Teresa Shamah-Levy, Mariano E. Cebrián, Ma. del Rocío Baños-Lara, Diana Casique-Aguirre, Jesús Elizarrarás-Rivas, Javier Antonio López-A
Frontiers in Oncology.2024;[Epub] CrossRef
Disability-adjusted Life Years of Hepatitis B in Iran during 2009–2019: An Analysis Based on the Global Burden of Disease Study 2019
Zaher Khazaei, Sayyad Khanizadeh, Moslem Taheri Soodejani, Sajjad Rahimi Pordanjani, Elham Goodarzi
The Open Public Health Journal.2024;[Epub] CrossRef
Trends in childhood leukemia incidence in urban countries and their relation to environmental factors, including space weather
Olga Khabarova, Sergey K. Pinaev, Vladimir V. Chakov, Alexey Ya. Chizhov, Olga G. Pinaeva
Frontiers in Public Health.2024;[Epub] CrossRef
The relationship between seasonality and the diagnosis of acute leukaemia in central South Africa
Leriska Haupt, Wilhelm Burger, Nosipho Dimba, Salomina Joubert, Karina Kemp, Relebohile Makhalima, Jean Mudima, Kayla Swanepoel, Janco Viljoen, Anne-Cecilia Van Marle
South African Journal of Oncology.2024;[Epub] CrossRef
Spatio-temporal Analysis of COVID-19: A Global Study
Sajjad Rahimi Pordanjani, Maryam Mohammadian, Somayeh Derakhshan, Fatemeh Hadavandsiri, Seyed Saeed Hashemi Nazari, Mohammad Hossein Panahi
Middle East Journal of Rehabilitation and Health Studies.2023;[Epub] CrossRef
Persistently high incidence rates of childhood acute leukemias from 2010 to 2017 in Mexico City: A population study from the MIGICCL
Janet Flores-Lujano, David Aldebarán Duarte-Rodríguez, Elva Jiménez-Hernández, Jorge Alfonso Martín-Trejo, Aldo Allende-López, José Gabriel Peñaloza-González, María Luisa Pérez-Saldivar, Aurora Medina-Sanson, José Refugio Torres-Nava, Karina Anastacia Sol
Frontiers in Public Health.2022;[Epub] CrossRef
Epidemiological characteristics and temporal-spatial analysis of overseas imported dengue fever cases in outbreak provinces of China, 2005–2019
Xinchang Lun, Yiguan Wang, Chunchun Zhao, Haixia Wu, Caiying Zhu, Delong Ma, Mingfang Xu, Jun Wang, Qiyong Liu, Lei Xu, Fengxia Meng
Infectious Diseases of Poverty.2022;[Epub] CrossRef
Temporal Trend and Spatial Distribution of Drug Poisoning in Semnan Province: A Retrospective Longitudinal Study
Masoudeh Babakhanian, Khadijeh Mamashli, Faezeh Ansariniya, Somayeh Rezaie, Hamed Azadi, Masumeh Ghazanfarpour, Sajjad Rahimi Pordanjani
Middle East Journal of Rehabilitation and Health Studies.2022;[Epub] CrossRef
Crude incidence, age-specific incidence, and standardized incidence rates of leukemia in children under 14 years of age in Iran: an updated meta-analysis
Ayda Hasanpour Dehkordi, Hasan Askarpour, Farshid Karami Pordanjani, Mohammad Rafiee, Sajjad Rahimi Pordanjani
Przeglad Epidemiologiczny.2022; 75(4): 546. CrossRef

Geographical distribution of at fault drivers involved in fatal traffic collisions in Tehran, Iran: Amir Kavousi, Ali Moradi, Khaled Rahmani, Salahdin Zeini, Pegah Ameri; Epidemiol Health. 2020;42:e2020002. Published online January 13, 2020; DOI: https://doi.org/10.4178/epih.e2020002

22,072 View
195 Download
8 Web of Science
5 Crossref

Abstract PDF

Abstract

OBJECTIVES
According to Traffic Police, about 35% of deaths and more than 50% of injuries caused by traffic collision in the roads of Tehran are among drivers and car occupants. This study was conducted to determine areas with the highest number of traffic collisions and perform spatial analysis of traffic collisions involving drivers in Tehran during April 2014 to March 2017.

METHODS

The present study was a cross-sectional and descriptive-analytic research. In this study, all traffic collision that driver was accounted (100 percent or less) for crash occurrence which resulted in the death of at least one person (driver, pedestrian or passenger) were included in the analyses. Geographic information system software was used to show spatial distribution of events from zoning maps. Moran index was used in the mathematical analysis in order to determine the distribution pattern of the events from and Getis-Ord G statistics was applied to analyze the hot spots (high risk points).

RESULTS

A total number of 519 traffic collisions were investigated in this study. Moreover, 283 cases (54.5%) of the incidents took place in direct routes and 236 cases (45.5%) occurred at intersections. The most frequent events were in the region 4 (57 cases) and the least frequent events were reported in the region 10 (6 cases). Moran statistics show that the distribution of the studied events significantly follows the cluster pattern (p<0.001).

CONCLUSIONS

The northeastern and northwest margins of Tehran are the most prone areas for drivers involved with traffic collisions leading to death. Most traffic collisions leading to death take place at highways located at the entrance and exit points of Tehran and highways in regions 2 and 5.

Summary

Citations

Citations to this article as recorded by

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City
Hengyi Zhang, Yusheng Ci, Yikang Huang, Lina Wu
Sustainability.2024; 16(8): 3440. CrossRef
Two Decades of Geospatial Evolution: Tracing the Analytical Journey towards Data-Driven Road Crash Prevention
Ali Soltani, Omid Mansourihanis, Mohsen RoohaniQadikolaei, Ayda Zaroujtaghi
Applied Spatial Analysis and Policy.2024; 17(3): 1301. CrossRef
Road Accident Hotspots on Jordan’s Highway Based on Geometric Designs Using Structural Equation Modeling
Shatha Aser Aldala’in, Nur Sabahiah Abdul Sukor, Mohammed Taleb Obaidat, Teh Sabariah Binti Abd Manan
Applied Sciences.2023; 13(14): 8095. CrossRef
GIS-based risk mapping of cutaneous leishmaniasis: a survey in an endemic area of Central Iran
Mohammad Reza Maracy, Fariba Jaffary, Afshin Ebrahimi, Fatemeh Sokhanvari, Asieh Heidari, Hanieh Sharifian-Koupaiee, Reza Fadaei, Javad Ramazanpour, Malihe Moazeni
Environmental Science and Pollution Research.2021; 28(41): 57470. CrossRef
Identifying and prioritizing risk factors involved in motorcyclists' traffic accidents in Tehran
Ali Moradi, Amir Kavousi, Pegah Ameri, Mohyeddin Amjadian, MohammadHossein Vaziri
Archives of Trauma Research.2021; 10(3): 153. CrossRef

Spatial inequalities and predictors of HIV/AIDS mortality risk in Hamadan, Iran: a retrospective cohort study: Somayeh Momenyan, Amir Kavousi, Jalal Poorolajal, Narges Momenyan; Epidemiol Health. 2018;40:e2018038. Published online August 5, 2018; DOI: https://doi.org/10.4178/epih.e2018038

20,487 View
217 Download
6 Web of Science
5 Crossref

Abstract PDF

Abstract

OBJECTIVES
Understanding the geographic variation of HIV/AIDS mortality risk and human immunodeficiency virus (HIV) infection could help identify high-burden areas. The aim of our study was to evaluate the effects of predictors of the time interval between HIV diagnosis to death, while accounting for spatial correlations across counties, and to assess patterns of spatial inequalities in the risk of HIV/AIDS mortality in Hamadan Province, Iran.

METHODS

This retrospective study was conducted on 585 patients. The outcome in this study was the time period between the date of HIV/AIDS diagnosis and the date of death. A Weibull regression model with spatial random effects was used.

RESULTS

According to multivariate analysis, there were significant associations between age, tuberculosis co-infection, and marital status and the risk of death. In terms of spatial inequalities, a cluster of counties was identified with a somewhat higher death hazard in the north, northwest, northeast, and central regions. Additionally, a cluster with a somewhat lower hazard was identified in the south, southwest, southeast, and west regions.

CONCLUSIONS

The spatial pattern of HIV/AIDS death risk could reflect inequalities in access to antiretroviral therapy and public health services. Our results underscore the importance of attention to vulnerable groups in urban areas.

Summary

Citations

Citations to this article as recorded by

Prevalence, Antibiotic Susceptibility Pattern, and Associated Factors of Enteric Bacterial Pathogens Among HIV Infected Patients with Diarrhea Attending the ART Clinic of Dilla University Referral Hospital, Southern Ethiopia
Asaye Mitiku, Zerihin Solomon, Berhanu Gidisa, Kasie Gebeyhu, Haymanot Tewabe, Demissew Shenkute, Melkayehu Kassa, Addisu Gize
Infection and Drug Resistance.2023; Volume 16: 4227. CrossRef
Análise da tendência da mortalidade por doenças definidoras e não definidoras de HIV/aids segundo características sociodemográficas, por Unidade da Federação e Brasil, 2000-2018
Ana Paula da Cunha, Marly Marques da Cruz
Epidemiologia e Serviços de Saúde.2022;[Epub] CrossRef
Spatial variability of mother-to-child human immunodeficiency virus transmission in a province in the Brazilian Rainforest: An ecological study
Marcus Matheus Quadros Santos, Bianca Alessandra Gomes do Carmo, Taymara Barbosa Rodrigues, Bruna Rafaela Leite Dias, Cleyton Abreu Martins, Glenda Roberta Oliveira Naiff Ferreira, Andressa Tavares Parente, Cíntia Yollete Urbano Pauxis Aben-Atha, Sand
Geospatial Health.2022;[Epub] CrossRef
Clinical, health systems and neighbourhood determinants of tuberculosis case fatality in urban Blantyre, Malawi: a multilevel epidemiological analysis of enhanced surveillance data
McEwen Khundi, Peter MacPherson, Helena R. A. Feasey, Rebeca Nzawa Soko, Marriott Nliwasa, Elizabeth L. Corbett, James R. Carpenter
Epidemiology and Infection.2021;[Epub] CrossRef
Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil
Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Macha
Geospatial Health.2020;[Epub] CrossRef

Spatial modeling of cutaneous leishmaniasis in Iranian army units during 2014-2017 using a hierarchical Bayesian method and the spatial scan statistic: Erfan Ayubi, Mohammad Barati, Arasb Dabbagh Moghaddam, Ali Reza Khoshdel; Epidemiol Health. 2018;40:e2018032. Published online July 13, 2018; DOI: https://doi.org/10.4178/epih.e2018032

22,938 View
274 Download
9 Web of Science
10 Crossref

Abstract PDF Supplementary Material

Abstract

OBJECTIVES
This study aimed to map the incidence of cutaneous leishmaniasis (CL) in Iranian army units (IAUs) and to identify possible spatial clusters.

METHODS

This ecological study investigated incident cases of CL between 2014 and 2017. CL data were extracted from the CL registry maintained by the deputy of health of AJA University of Medical Sciences. The standardized incidence ratio (SIR) of CL was computed with a Besag, York, and Mollié model. The purely spatial scan statistic was employed to detect the most likely highand low-rate clusters and to obtain the observed-to-expected (O/E) ratio for each detected cluster. The statistical significance of the clusters was assessed using the log likelihood ratio (LLR) test and Monte Carlo hypothesis testing.

RESULTS

A total of 1,144 new CL cases occurred in IAUs from 2014 to 2017, with an incidence rate of 260 per 100,000. Isfahan and Khuzestan Provinces were found to have more CL cases than expected in all studied years (SIR>1), while Kermanshah, Kerman, and Fars Provinces were observed to have been high-risk areas in only some years of the study period. The most significant CL cluster was in Kermanshah Province (O/E, 67.88; LLR, 1,200.62; p<0.001), followed by clusters in Isfahan Province (O/E, 6.02; LLR, 513.24; p<0.001) and Khuzestan Province (O/E, 2.35; LLR, 73.71; p<0.001), while low-rate clusters were located in the northeast areas, including Razavi Khorasan, North Khorasan, Semnan, and Golestan Provinces (O/E, 0.03; LLR, 95.11; p<0.001).

CONCLUSIONS

This study identified high-risk areas for CL. These findings have public health implications and should be considered when planning control interventions among IAUs.

Summary

Citations

Citations to this article as recorded by

Mapping the knowledge of epilepsy and Potassium Channels: A scientometric analysis in CiteSpace and VOSviewer
Zheng Li
IBRO Neuroscience Reports.2025; 19: 1. CrossRef
Investigation of the Expression Levels of miR-155, miR-133a, and miR-146b in the Serum of Acute and Chronic Forms of Cutaneous Leishmaniasis
Mohammad Hamedanipour, Zohre Khosravany, Zahra Mirabedini, Mehdi Mohebali, Mohammad Barati, Hamed Mirjalali
Acta Parasitologica.2025;[Epub] CrossRef
Comprehensive New Information on the Distribution and Pathogenicity of Leishmaniasis, the Factors Causing Its Emergence in New Areas and Affecting Pathogenicity in Iran
Hassan Nasirian
Biology Bulletin Reviews.2024; 14(6): 804. CrossRef
High-risk spatiotemporal patterns of cutaneous leishmaniasis: a nationwide study in Iran from 2011 to 2020
Neda Firouraghi, Robert Bergquist, Munazza Fatima, Alireza Mohammadi, Davidson H. Hamer, Mohammad Reza Shirzadi, Behzad Kiani
Infectious Diseases of Poverty.2023;[Epub] CrossRef
Spatio-temporal visualisation of cutaneous leishmaniasis in an endemic, urban area in Iran
Neda Firouraghi, Alireza Mohammadi, Davidson H Hamer, Robert Bergquist, Sayyed Mostafa Mostafavi, Ali Shamsoddini, Amene Raouf-Rahmati, Mahmoud Fakhar, Elham Moghaddas, Behzad Kiani
Acta Tropica.2022; 225: 106181. CrossRef
Spatial patterning of occupational stress and its related factors in Iranian critical care nurses using a hierarchical Bayesian technique
Morteza Kazemi, Kiavash Hushmandi, Amir Vahedian-Azimi, Majid Moayyed, Leila Karimi, Mohammad Ali Sheikh Beig Goharrizi, Mahmood Salesi, Karim Parastouei, Mehdi Raei
Work.2022; 72(4): 1409. CrossRef
Socio-Economic Characteristics of Urban Tuberculosis Areas in Petaling, Selangor: A Current Spatial Exploratory Scenario
N.N.N Mohd Zaini, A.R. Abdul Rasam, C.B. Ahmad
IOP Conference Series: Earth and Environmental Science.2022; 1067(1): 012041. CrossRef
Cutaneous Leishmaniasis Based on Climate Regions in Iran (1998-2021)
Mehri Rejali, Nadia Mohammadi Dashtaki, Afshin Ebrahimi, Asieh Heidari, Mohammad Reza Maracy
Advanced Biomedical Research.2022; 11(1): 120. CrossRef
Molecular Study of Cutaneous Leishmaniasis Species among Soldiers with Dermal Ulcers in Zahedan, Iran
Sina Sekandarpour, Minoo Shaddel, Zahra Sadat Asadi
Military Caring Sciences.2021; 7(4): 310. CrossRef
Sensitivity of disease cluster detection to spatial scales: an analysis with the spatial scan statistic method
Meifang Li, Xun Shi, Xia Li, Wenjun Ma, Jianfeng He, Tao Liu
International Journal of Geographical Information Science.2019; 33(11): 2125. CrossRef

Analysis of the relationship between community characteristics and depression using geographically weighted regression: Hyungyun Choi, Ho Kim; Epidemiol Health. 2017;39:e2017025. Published online June 21, 2017; DOI: https://doi.org/10.4178/epih.e2017025

24,087 View
254 Download
2 Web of Science
5 Crossref

Abstract Summary PDF Supplementary Material

Abstract

OBJECTIVES
Achieving national health equity is currently a pressing issue. Large regional variations in the health determinants are observed. Depression, one of the most common mental disorders, has large variations in incidence among different populations, and thus must be regionally analyzed. The present study aimed at analyzing regional disparities in depressive symptoms and identifying the health determinants that require regional interventions.

METHODS

Using health indicators of depression in the Korea Community Health Survey 2011 and 2013, the Moran’s I was calculated for each variable to assess spatial autocorrelation, and a validated geographically weighted regression analysis using ArcGIS version 10.1 of different domains: health behavior, morbidity, and the social and physical environments were created, and the final model included a combination of significant variables in these models.

RESULTS

In the health behavior domain, the weekly breakfast intake frequency of 1-2 times was the most significantly correlated with depression in all regions, followed by exposure to secondhand smoke and the level of perceived stress in some regions. In the morbidity domain, the rate of lifetime diagnosis of myocardial infarction was the most significantly correlated with depression. In the social and physical environment domain, the trust environment within the local community was highly correlated with depression, showing that lower the level of trust, higher was the level of depression. A final model was constructed and analyzed using highly influential variables from each domain. The models were divided into two groups according to the significance of correlation of each variable with the experience of depression symptoms.

CONCLUSIONS

The indicators of the regional health status are significantly associated with the incidence of depressive symptoms within a region. The significance of this correlation varied across regions.

Summary

Korean summary
정신질환 중 가장 흔한 우울증의 경우 집단의 특성 간 발생 현황에 차이를 보이고 있어 지역별 접근을 통한 연구가 요구됨에 따라 본 연구에서는 우울증의 지역적 변이요인을 분석하여 지역별 중재가 필요한 건강결정요인을 파악하고자 지역사회건강조사 자료를 이용하여 공간적 지리가중회귀분석을 시행하였다. 본 연구를 통해 지역단위보건관련지표는 지역의 우울증 발생과 유의미한 연관성이 있으며 연관성 우선순위는 지역별 차이가 있음이 밝혀졌다. 지역적 특성에 따른 우선순위를 제시하였음에 본 연구의 의의가 있으며 공중 보건 영역의 다른 사례에 본 연구방법론 및 연구결과 제시 방안을 적용함에 따라 지역의 건강수준향상 프로그램 개발에 유용한 기초자료의 제공을 기대할 수 있다.

Citations

Citations to this article as recorded by

The impact of relative deprivation on mental health among middle-aged and older adults in China: a multiple chain mediation model
Zhiruo Zhuang, Xinlong Xie, Longyi Huang, Jiawen Yan, Sijie Cheng, Aijun Xu
Scientific Reports.2025;[Epub] CrossRef
A geographically weighted artificial neural network
Julian Hagenauer, Marco Helbich
International Journal of Geographical Information Science.2022; 36(2): 215. CrossRef
Spatial Dependence in Local Suicide Ideation and Actual Suicide among the Elderly: A Comparative Study between Men and Women
Taewan Kim, Hee-Jung Jun
Journal of Korea Planning Association.2021; 56(4): 49. CrossRef
Geographic Disparities in Stress Levels during the COVID-19 Pandemic in Kuwait
Mohammad Alnasrallah, Ibrahim Alshehab
Papers in Applied Geography.2020; 6(4): 449. CrossRef
Visual Analysis of Regional Variations in Antidepressant Use and Suicide Rate
Ho-Jung Kim, Iyn-Hyang Lee
Korean Journal of Clinical Pharmacy.2018; 28(4): 308. CrossRef

Exploring neighborhood inequality in female breast cancer incidence in Tehran using Bayesian spatial models and a spatial scan statistic: Erfan Ayubi, Mohammad Ali Mansournia, Ali Ghanbari Motlagh, Alireza Mosavi-Jarrahi, Ali Hosseini, Kamran Yazdani; Epidemiol Health. 2017;39:e2017021. Published online May 17, 2017; DOI: https://doi.org/10.4178/epih.e2017021

24,662 View
237 Download
14 Web of Science
14 Crossref

Abstract PDF

Abstract

OBJECTIVES
The aim of this study was to explore the spatial pattern of female breast cancer (BC) incidence at the neighborhood level in Tehran, Iran.

METHODS

The present study included all registered incident cases of female BC from March 2008 to March 2011. The raw standardized incidence ratio (SIR) of BC for each neighborhood was estimated by comparing observed cases relative to expected cases. The estimated raw SIRs were smoothed by a Besag, York, and Mollie spatial model and the spatial empirical Bayesian method. The purely spatial scan statistic was used to identify spatial clusters.

RESULTS

There were 4,175 incident BC cases in the study area from 2008 to 2011, of which 3,080 were successfully geocoded to the neighborhood level. Higher than expected rates of BC were found in neighborhoods located in northern and central Tehran, whereas lower rates appeared in southern areas. The most likely cluster of higher than expected BC incidence involved neighborhoods in districts 3 and 6, with an observed-to-expected ratio of 3.92 (p<0.001), whereas the most likely cluster of lower than expected rates involved neighborhoods in districts 17, 18, and 19, with an observed-to-expected ratio of 0.05 (p<0.001).

CONCLUSIONS

Neighborhood-level inequality in the incidence of BC exists in Tehran. These findings can serve as a basis for resource allocation and preventive strategies in at-risk areas.

Summary

Citations

Citations to this article as recorded by

Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in Thailand
Chawarat Rotejanaprasert, Kawin Chinpong, Andrew B. Lawson, Peerut Chienwichai, Richard J. Maude
BMC Medical Research Methodology.2024;[Epub] CrossRef
An examination and analysis of the clustering of healthcare centers and their spatial accessibility in Tehran metropolis: Insights from Google POI data
Fatemeh Rajabi, Farhad Hosseinali, Hamidreza Rabiei-Dastjerdi
Sustainable Cities and Society.2024; 117: 105845. CrossRef
Clusters of high-risk, low-risk, and temporal trends of breast and cervical cancer-related mortality in São Paulo, Brazil, during 2000–2016
P.M.M. Bermudi, A.C.G. Pellini, C.S.G. Diniz, A.G. Ribeiro, B.S. de Aguiar, M.A. Failla, F. Chiaravalloti Neto
Annals of Epidemiology.2023; 78: 61. CrossRef
Variabilidade espacial intraurbana da mortalidade por câncer de mama e do colo do útero no município de São Paulo: análise dos fatores associados
Breno Souza de Aguiar, Alessandra Cristina Guedes Pellini, Elizabeth Angélica Salinas Rebolledo, Adeylson Guimarães Ribeiro, Carmen Simone Grilo Diniz, Patricia Marques Moralejo Bermudi, Marcelo Antunes Failla, Oswaldo Santos Baquero, Francisco Chiaravall
Revista Brasileira de Epidemiologia.2023;[Epub] CrossRef
Intra-urban spatial variability of breast and cervical cancer mortality in the city of São Paulo: analysis of associated factors
Breno Souza de Aguiar, Alessandra Cristina Guedes Pellini, Elizabeth Angélica Salinas Rebolledo, Adeylson Guimarães Ribeiro, Carmen Simone Grilo Diniz, Patricia Marques Moralejo Bermudi, Marcelo Antunes Failla, Oswaldo Santos Baquero, Francisco Chiaravall
Revista Brasileira de Epidemiologia.2023;[Epub] CrossRef
Breast cancer incidence in Yogyakarta, Indonesia from 2008–2019: A cross-sectional study using trend analysis and geographical information system
Bryant Ng, Herindita Puspitaningtyas, Juan Adrian Wiranata, Susanna Hilda Hutajulu, Irianiwati Widodo, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan, Abdulkader Murad
PLOS ONE.2023; 18(7): e0288073. CrossRef
Evaluation of the association between centrosome amplification in tumor tissue of breast cancer patients and changes in the expression of CETN1 and CNTROB genes
Payam Kheirmand Parizi, Leila Mousavi Seresht, Seyed-Alireza Esmaeili, Ali Davarpanah Jazi, Abdolazim Sarli, Farinaz Khosravian, Mansour Salehi
Gene Reports.2022; 26: 101481. CrossRef
The Effect of Religious–Spiritual Psychotherapy on Illness Perception and Inner Strength among Patients with Breast Cancer in Iran
Safoora Davari, Isaac Rahimian Boogar, Siavash Talepasand, Mohamad Reza Evazi
Journal of Religion and Health.2022; 61(6): 4302. CrossRef
Geographic disparities in Saskatchewan prostate cancer incidence and its association with physician density: analysis using Bayesian models
Mustafa Andkhoie, Michael Szafron
BMC Cancer.2021;[Epub] CrossRef
Campania and cancer mortality: An inseparable pair? The role of environmental quality and socio-economic deprivation
Massimiliano Agovino, Massimiliano Cerciello, Gaetano Musella
Social Science & Medicine.2021; 287: 114328. CrossRef
The application of spatial empirical Bayesian smoothing method in spatial analysis of bacillary dysentery: A case study in Yudu County, Jiangxi Province
Yuwei Wang, Wang Gao
IOP Conference Series: Earth and Environmental Science.2020; 568(1): 012009. CrossRef
A Multi-Decadal Spatial Analysis of Demographic Vulnerability to Urban Flood: A Case Study of Birmingham City, USA
Mohammad Khalid Hossain, Qingmin Meng
Sustainability.2020; 12(21): 9139. CrossRef
Cancer mortality rates and spillover effects among different areas: A case study in Campania (southern Italy)
Massimiliano Agovino, Maria Carmela Aprile, Antonio Garofalo, Angela Mariani
Social Science & Medicine.2018; 204: 67. CrossRef
Spatial modeling of cutaneous leishmaniasis in Iranian army units during 2014-2017 using a hierarchical Bayesian method and the spatial scan statistic
Erfan Ayubi, Mohammad Barati, Arasb Dabbagh Moghaddam, Ali Reza Khoshdel
Epidemiology and Health.2018; 40: e2018032. CrossRef

Ecological context of infant mortality in high-focus states of India: Laishram Ladusingh, Ashish Kumar Gupta, Awdhesh Yadav; Epidemiol Health. 2016;38:e2016006. Published online March 5, 2016; DOI: https://doi.org/10.4178/epih.e2016006

29,769 View
206 Download
11 Web of Science
9 Crossref

Abstract PDF

Abstract

OBJECTIVES
This goal of this study was to shed light on the ecological context as a potential determinant of the infant mortality rate in nine high-focus states in India.

METHODS

Data from the Annual Health Survey (2010-2011), the Census of India (2011), and the District Level Household and Facility Survey 3 (2007-08) were used in this study. In multiple regression analysis explanatory variable such as underdevelopment is measured by the non-working population, and income inequality, quantified as the proportion of households in the bottom wealth quintile. While, the trickle-down effect of education is measured by female literacy, and investment in health, as reflected by neonatal care facilities in primary health centres.

RESULTS

A high spatial autocorrelation of district infant mortality rates was observed, and ecological factors were found to have a significant impact on district infant mortality rates. The result also revealed that non-working population and income inequality were found to have a negative effect on the district infant mortality rate. Additionally, female literacy and new-born care facilities were found to have an inverse association with the infant mortality rate.

CONCLUSIONS

Interventions at the community level can reduce district infant mortality rates.

Summary

Citations

Citations to this article as recorded by

The Synergy Between Undernutrition and Under-five Mortality in India: A Spatially Explicit Structural Equation Modelling Approach
Wahengbam Bigyananda Meitei
Spatial Demography.2025;[Epub] CrossRef
Does club convergence matter in health outcomes? Evidence from Indian states
Ajit Nag, Andrej Privara, Beata Gavurova, Jalandhar Pradhan
BMC Public Health.2023;[Epub] CrossRef
Major Determinants of Infant Mortality: District-level Evidence from Annual Health Survey States of India
Subhanil Banerjee, Souren Koner, Arshleen Kaur, Charvi Sharma
Journal of Health Management.2023;[Epub] CrossRef
Does socio-economic inequality in infant mortality still exists in India? An analysis based on National Family Health Survey 2005–06 and 2015–16
Pradeep Kumar, Ratna Patel, Shekhar Chauhan, Shobhit Srivastava, Ankur Khare, Kamlesh Kumar Patel
Clinical Epidemiology and Global Health.2021; 9: 116. CrossRef
Sociodemographic correlates of infant mortality in India: A review of national family health survey data
Ratan Gupta, ManasPratim Roy
CHRISMED Journal of Health and Research.2020; 7(1): 12. CrossRef
Factors explaining regional variation in under-five mortality in India: An evidence from NFHS-4
Jayanta Kumar Bora
Health & Place.2020; 64: 102363. CrossRef
Spatial heterogeneity of the associations of economic and health care factors with infant mortality in China using geographically weighted regression and spatial clustering
Shaobin Wang, Jun Wu
Social Science & Medicine.2020; 263: 113287. CrossRef
A spatial analysis of childhood stunting and its contextual correlates in India
Rupam Bharti, Preeti Dhillon, Pralip Kumar Narzary
Clinical Epidemiology and Global Health.2019; 7(3): 488. CrossRef
The persistent influence of caste on under-five mortality: Factors that explain the caste-based gap in high focus Indian states
Jayanta Kumar Bora, Rajesh Raushan, Wolfgang Lutz, William Joe
PLOS ONE.2019; 14(8): e0211086. CrossRef

First
Prev
Page of 1
Next
Last

Search