Spatio-temporal analysis of the visceral leishmaniasis in the state of Alagoas, Brazil

Abstract Visceral leishmaniosis is a neglected tropical disease. We evaluated the spatial distribution of cases of visceral leishmaniosis in the state of Alagoas, Brazil. All cases of VL, registered by the health department, were analyzed and georeferenced. Results: Between 2008 and 2017, 97.1% of the municipalities presented sporadic classification of transmission. With temporal evolution, the incidence of cases of visceral leishmaniosis was concentrated in most municipalities in the microregion of Santana do Ipanema-AL. Space-time analysis, if considered, may promote the improvement of surveillance and control actions of visceral leishmaniosis.

Resumo A leishmaniose visceral é uma doença tropical negligenciada. Foram avaliadas a distribuição espacial dos casos de leishmaniose visceral no estado de Alagoas. Todos os casos de LV, registrados pela secretaria de saúde, foram analisados e georreferenciados. Entre 2008 e 2017, 97,1% dos municípios apresentaram classificação esporádica de transmissão. Com a evolução temporal, a incidência de casos de leishmaniose visceral se concentrou na maioria dos municípios da microrregião de Santana do Ipanema-AL. A análise espaço-tempo, se considerada, pode promover o aprimoramento das ações de vigilância e controle da leishmaniose visceral.

Spatial and temporal analysis of MDR-TB epidemic based on SaTScan in Nanning in 2017 - 2021 / 公共卫生与预防医学

Objectives To analyze the spatial and temporal aggregation of multidrug resistant pulmonary tuberculosis (MDR-TB) incidence in Nanning at the township / street scale from 2017 to 2021, to explore the spatial and temporal characteristics of the spread of MDR-TB in Nanning, and to provide a scientific reference basis for the health administrative departments to achieve the precise implementation of MDR-TB prevention and control. Methods Based on the data of MDR-TB cases in Nanning from 2017 to 2021, the spatial-temporal scanning analysis software SaTScan v9.7 was used to retrospectively detect and analyze the areas where MDR-TB cases gathered. Results Through simple spatial scanning analysis, it was found that there were three first-class aggregation areas (the aggregation center was Fujiayuan Street, Jiangnan District, 2017, Xinyang Street, Xixiangtang District, 2019, and Zhonghe Town, Yongning District, 2020), and one second-class aggregation area (the aggregation center was Jinchai Town, Mashan County, 2020). Simple time scanning showed that the clustering occurred from May 2019 to December 2020. Temporal and spatial aggregation analysis showed that Xinyang Street in Xixiangtang District was the center of the first-class aggregation area, Zhonghe Town in Yongning District was the center of the second-class aggregation area, and Jinchai Town in Mashan County was the center of the third-class aggregation area. Conclusion The multidrug resistant pulmonary tuberculosis epidemic in Nanning is distributed in an aggregated manner, especially in Xinyang Street, Xixiangtang District, which has the highest spatial and temporal aggregation. It is necessary to focus on and take regional prevention and control measures to control the epidemic.

Spatio-temporal analysis of the visceral leishmaniasis in the state of Alagoas, Brazil / Análise espacial-temporal da leishmaniose visceral no estado de Alagoas

Visceral leishmaniosis is a neglected tropical disease. We evaluated the spatial distribution of cases of visceral leishmaniosis in the state of Alagoas, Brazil. All cases of VL, registered by the health department, were analyzed and georeferenced. Results: Between 2008 and 2017, 97.1% of the municipalities presented sporadic classification of transmission. With temporal evolution, the incidence of cases of visceral leishmaniosis was concentrated in most municipalities in the microregion of Santana do Ipanema-AL. Space-time analysis, if considered, may promote the improvement of surveillance and control actions of visceral leishmaniosis.

A leishmaniose visceral é uma doença tropical negligenciada. Foram avaliadas a distribuição espacial dos casos de leishmaniose visceral no estado de Alagoas. Todos os casos de LV, registrados pela secretaria de saúde, foram analisados e georreferenciados. Entre 2008 e 2017, 97,1% dos municípios apresentaram classificação esporádica de transmissão. Com a evolução temporal, a incidência de casos de leishmaniose visceral se concentrou na maioria dos municípios da microrregião de Santana do Ipanema-AL. A análise espaço-tempo, se considerada, pode promover o aprimoramento das ações de vigilância e controle da leishmaniose visceral.

Heterogeneidade espaço-temporal dos indicadores de imunização da vacina tríplice viral em crianças no Brasil / Space-time heterogeneity of measles, mumps, and rubella vaccination indicators in children from Brazil / Heterogeneidad espaciotemporal de los indicadores de inmunización con la vacuna triple viral en la población infantil de Brasil

RESUMO Objetivo. Avaliar a cobertura vacinal e as taxas de abandono da vacina tríplice viral nas macrorregiões brasileiras. Métodos. Este estudo ecológico, com abordagem espaço-temporal, utilizou dados do Programa Nacional de Imunizações e do Sistema de Informação sobre Nascidos Vivos. Estimou-se a variação anual (2014 a 2021) da cobertura vacinal e da taxa de abandono da vacina tríplice viral em crianças de 12 meses e 15 meses de idade nos 5 570 municípios brasileiros. A análise estatística foi realizada para o conjunto de municípios de cada macrorregião brasileira usando a técnica de varredura espaço-temporal, considerando o modelo probabilístico de Poisson e a hipótese de que os municípios com menores coberturas vacinais ou altas taxa de abandono formariam aglomerados (clusters) espaço-temporais. Resultados. De 2014 a 2021, 38,3% e 12,9% dos municípios alcançaram cobertura da vacina tríplice viral ≥ 95,0% na primeira e segunda doses, respectivamente; 53,6% dos municípios tiveram alta taxa de abandono (20,0% a 49,9%) e 37,2% tiveram altíssima taxa de abandono. O Nordeste apresentou os clusters primários para baixa cobertura da primeira (2018 a 2021) e da segunda doses (2020 a 2021) da vacina tríplice viral com maiores riscos relativos (RR) em relação aos demais clusters primários. O RR para alta taxa de abandono foi elevado em todas as macrorregiões brasileiras (1,57 a 26,23). Conclusões. Em algumas macrorregiões, a taxa de abandono era alta desde 2014, sinalizando risco de ressurgimento do sarampo. Por sua vez, a análise espaço-temporal indicou mais baixas coberturas vacinais em 2020, sugerindo influência da pandemia de covid-19.

ABSTRACT Objective. To evaluate immunization coverage and dropout rates of the measles, mumps, and rubella vaccine across Brazilian regions. Methods. This ecological study employing a space-time approach used data from the National Immunization Program (PNI) and the Live Births Information System (SINASC). We estimated the annual variation (2014 to 2021) in immunization coverage and dropout rate of the measles, mumps, and rubella vaccine in children aged 12 and 15 months in the 5 570 Brazilian municipalities. Statistical analysis was conducted for the municipalities contained in each Brazilian region using the space-time scan technique, considering the Poisson probabilistic model and the hypothesis that municipalities with lower immunization coverage or high dropout rates would form space-time clusters. Results. From 2014 to 2021, 38.3% and 12.9% of municipalities achieved a coverage ≥ 95.0% in the first and second doses respectively; 53.6% of municipalities had a high dropout rate (20.0% to 49.9%) and 37.2% had a very high dropout rate. The Northeast region had primary clusters for low coverage of the first (2018 to 2021) and second vaccine doses (2020 to 2021) with higher relative risks (RR) compared to other primary clusters. The RR for high dropout rate was elevated in all Brazilian regions (1.57 to 26.23). Conclusions. In some Brazilian regions, the dropout rate has been high since 2014, signaling a risk of measles resurgence. In turn, space-time analysis indicated lower vaccination coverage in 2020, suggesting the influence of the COVID-19 pandemic.

RESUMEN Objetivo. Evaluar la cobertura de vacunación y las tasas de incumplimiento del esquema de vacunación triple viral en las macrorregiones de Brasil. Métodos. En este estudio ecológico, con un enfoque espaciotemporal, se utilizaron datos del Programa Nacional de Inmunización y del Sistema de Información sobre Recién Nacidos Vivos. Se estimó la variación anual de la cobertura de vacunación y la tasa de incumplimiento del esquema de vacunación triple viral en niños de 12 y 15 meses en 5570 municipios brasileños (en el período 2014-2021). El análisis estadístico se realizó en el conjunto de municipios de cada macrorregión brasileña mediante la técnica de barrido espaciotemporal, con un modelo probabilístico de Poisson y con la hipótesis de que los municipios con menor cobertura de vacunación o tasas altas de incumplimiento formarían conglomerados espaciotemporales. Resultados. En el período 2014-2021, el 38,3% y el 12,9% de los municipios alcanzó una cobertura ≥95,0% para la primera y la segunda dosis de la vacuna triple viral, respectivamente; el 53,6% de los municipios tuvo una tasa de incumplimiento alta (del 20,0% al 49,9%) y el 37,2% una tasa extremadamente alta. En la zona del nordeste se observaron los conglomerados primarios de cobertura baja de la primera y la segunda dosis de la vacuna triple viral (administradas en los períodos 2018-2021 y 2020-2021, respectivamente) con un mayor riesgo relativo (RR), en comparación con los demás conglomerados primarios. Se observó un RR alto de tener una tasa elevada de incumplimiento en todas las macrorregiones de Brasil (de entre 1,57 y 26,23). Conclusiones. En algunas macrorregiones, la tasa de incumplimiento había sido elevada desde el 2014, lo cual indica un riesgo de resurgimiento del sarampión. A su vez, en el análisis espaciotemporal se observó una menor cobertura de vacunación en el 2020, lo que denota la influencia de la pandemia de COVID-19.

Was the COVID-19 epidemic synchronous in space? An analysis in the health regions of the Rio de Janeiro state, 2020-2022 / A epidemia de COVID-19 foi síncrona no espaço? Uma análise nas regiões de saúde do estado do Rio de Janeiro, 2020-2022

ABSTRACT Objective: To analyze the spatio-temporal dynamics of COVID-19 in the Rio de Janeiro state within the nine health regions, between March 2020 and December 2022. Methods: The Poisson model with random effects was used to smooth and estimate the incidence of COVID-19 hospitalizations reported in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) to verify the synchronicity of the epidemic in the state. Results: The COVID-19 epidemic in the state is characterized by the presence of seven peaks during the analyzed period corresponding to seven found. An asynchrony in hospitalizations was identified, varying according to the different virus variants in the nine health regions of the state. The incidence peaks of hospitalizations ranged from 1 to 12 cases per 100,000 inhabitants during the pandemic. Conclusion: This spatio-temporal analysis is applicable to other scenarios, enabling monitoring and decision-making for the control of epidemic diseases in different areas.

RESUMO Objetivo: Analisar a dinâmica espaço-temporal de COVID-19 no estado do Rio de Janeiro nas nove regiões de saúde, entre março de 2020 e dezembro de 2022. Métodos: Utilizou-se o modelo de Poisson com efeitos aleatórios para suavizar a curva de incidência de hospitalizações por COVID-19 notificadas no Sistema de Informação da Vigilância Epidemiológica da Gripe (Sivep-Gripe) para verificar a sincronicidade da epidemia no estado. Resultados: A epidemia de COVID-19 no estado é caracterizada pela presença de sete picos no período analisado correspondentes a sete variantes encontradas. Identificou-se uma assincronicidade nas hospitalizações, variando de acordo com as diferentes variantes do vírus nas nove regiões de saúde do estado. Os picos de incidência das hospitalizações variaram de 1 a 12 casos por 100 mil habitantes no decorrer da pandemia. Conclusão: Essa análise espaço-temporal é extensível em outros cenários, sendo possível o monitoramento e a tomada de decisões de controle de doenças epidêmicas em várias áreas.

Distribution of cases of congenital heart disease in a hospital in Oeste Paulista / Distribuição dos casos de cardiopatias congênitas em um hospital do Oeste Paulista

The aim of this research was to conduct a comprehensive spatial-temporal analysis of the population affected by congenital heart anomalies assisted at the Pediatric Cardiology Outpatient Department at the distinguished Western Paulista reference hospital. We conducted a retrospective study involving the analysis of electronic database records and patient medical charts for individuals diagnosed with congenital heart disease during the period from July 2013 to July 2018. A total of 298 medical records were selected for the analysis of variables encompassing the ICD-10 codes, gender, spatial distribution, and temporal trends. It was possible to observe that septal defects were the most prevalent congenital heart abnormalities, and there was no gender-based difference. An increase in diagnoses was noted from 2014, coinciding with the implementation of the "heart test," and 51% of the cases were from Presidente Prudente, with a higher concentration of cases in the industrial park area. There is an association between cardiac congenital malformations and an adverse environmental context. The findings can inform public health policies aimed at reducing the exposure of the most vulnerable population in pursuit of improving health indicators (AU).

O objetivo deste trabalho foi analisar a distribuição espaço-temporal dos pacientes com cardiopatias congênitas aten-didos no Ambulatório de Cardiologia Pediátrica do Hospital de referência do Oeste Paulista. Realizamos um estudo retrospectivo com análise de dados de base eletrônica e prontuários dos pacientes diagnosticados com cardiopatia congênita entre os períodos de julho de 2013 a julho de 2018. Foram selecionados 298 prontuários para análise das variáveis de CID-10, gênero, distribuição espacial e série temporal. Foi possível observar que os defeitos septais foram as cardiopatias mais prevalentes, não houve diferença entre os gêneros. Notou-se aumento do diagnóstico a partir de 2014, com implementação do teste do coraçãozinho e 51% dos casos eram da cidade de Presidente Prudente, com maior concentração de casos na região do parque industrial. Há uma relação na incidência das malformações cardíacas com o meio ambiente desfavorável. Os resultados encontrados podem guiar políticas de saúde pública, visando reduzir a exposição da população mais vulnerável, na busca da melhora nos índices de saúde (AU).

Cobertura algal en dos sitios del Parque Nacional de Guanahacabibes, plataforma suroccidental de Cuba

Introducción: Las comunidades de macroalgas marinas del Parque Nacional Guanahacabibes no han sido estudiadas desde el punto de vista cuantitativo, a pesar de la influencia que la vegetación submarina tiene sobre la estructura y el funcionamiento de los ecosistemas costeros, componente que hasta ahora ha sido subestimado en la región. Objetivo: Evaluar la variación temporal y espacial de los géneros de macroalgas en dos sitios de María La Gorda, sur del Parque Nacional de Guanahacabibes, y evaluar la salud del arrecife de acuerdo con la cobertura de los diferentes morfo-tipos de macroalgas predominantes. Metodología: El muestreo fue cuatrimestral entre febrero 2014 y marzo 2017 en Yemayá y Laberinto, mediante buceo autónomo a una profundidad de 10 m. La cobertura algal fue estimada siguiendo la metodología AGRRA. Se usaron ocho transectos de 20 m por sitio de muestreo de acuerdo con las condiciones del arrecife y la forma del fondo. Cada cinco metros se colocó un cuadrante de 25 x 25 cm. Se calculó el porcentaje de cobertura que aporta cada género y de los grupos morfofuncionales a la cobertura total. Resultados: Los géneros dominantes durante el periodo de estudio fueron: Dictyota, Lobophora y Halimeda. Las algas carnosas y calcáreas mostraron mayor cubrimiento en Laberinto (carnosas= 57.8 ±15.6; calcáreas = 8.3 ± 6.8) que en Yemayá, (carnosas = 47.3 ± 23.1; calcáreas = 8.5 ± 9.3). Las formas costrosas son más abundantes en Yemayá (17.1 ± 15.1) que en Laberinto (7.7 ± 10). El índice de las carnosas fue superior en Laberinto (225.7 ± 110.2). Conclusión: La disminución en los niveles de cobertura de algas costrosas y la dominancia de formas carnosas como Dictyota y Lobophora en la zona de estudio, evidencian el deterioro en ambos sitios, a pesar de las políticas de conservación de parques nacionales.

Introduction: The macroalgal communities of the Guanahacabibes National Park have been poorly studied from the quantitative point of view, despite the influence that underwater vegetation has on the structure and functioning of coastal ecosystems, a component that until now has been underestimated in the Cuba region. Objetive: To evaluate the temporal and spatial variation of the macroalgal genera in two sites of María La Gorda, south of the Guanahacabibes National Park, and evaluate the reef health according to the coverage of the different predominant macroalgal morphotypes. Methodology: Sampling took place quarterly between February 2014 and March 2017, in Laberinto and Yemayá by SCUBA diving at a depth of 10 m. The algal coverage was estimated following the AGRRA methodology. Eight 20 m transects per sampling site were used according to reef conditions and bottom shape. Every five meters a 25 x 25 cm square was placed. The coverage (%) contributed per genus and morpho-functional group to the total coverage found was calculated. Results: The dominant genera during the study period were: Dictyota, Lobophora and Halimeda. Fleshy and calcareous algae showed greater coverage in Laberinto (fleshy= 57.8 ± 15.6; calcareous = 8.3 ± 6.8) than in Yemayá (fleshy = 47.3 ± 23.1; calcareous = 8.5 ± 9.3). Crustose algae were more abundant in Yemayá (17.1 ± 15.1) than in Laberinto (7.7 ± 10). The fleshy index was higher in Laberinto (225.7 ± 110.2). Conclusion: The decrease in the levels of crustose algal cover, as well as the dominance of fleshy forms Dictyota and Lobophora in the study area, shows the deterioration in both sites, despite the conservation policies of national parks.

La inteligencia artificial y la video-vigilancia en la predicción y detección de delitos en espacio-tiempo: una revisión sistemática / Artificial intelligence and video surveillance in space-time crime prediction and detection: a systematic review / Inteligência artificial e vídeo-vigilância na previsão e detecção de crimes no espaço-tempo: uma revisão sistemática

En la sociedad de hoy los delitos vienen incrementándose y particularmente en la ciudad de Bogotá, lo que ha causado muchos inconvenientes a la Policía Nacional de Colombia, así como también a los centros de seguridad ciudadana. Ante esta situación, se ha propuesto una predicción de tiempo-espacio en los puntos críticos de crímenes y delitos, con la ayuda de inteligencia artificial. Por consiguiente, este trabajo tiene como objetivo analizar, resumir, interpretar y evaluar las distintas técnicas de predicción espacio-temporal de la delincuencia con un panorama inteligente. Por la propia naturaleza de la investigación, se utilizó una metodología de enfoque descriptivo-cualitativo, con la cual se diseñaron fichas de observación estructurada para sistematizar información de cinco bases de datos: Scopus, Web of Science, IEEE, ACM, Springer; dichas publicaciones comprenden desde 2019 hasta junio de 2021. En consecuencia, se encontraron en total 3015 estudios, después del proceso de cribado y verificación de los criterios de exclusión e inclusión, se seleccionaron 132 artículos, luego se aplicaron preguntas Psicólogo Interno Residente (PIR), quedando así 18 artículos. Los principales hallazgos encontrados indican que los algoritmos de redes neuronales resultaron ser uno de los métodos más eficaces para la detección de puntos críticos de delincuencia, dado que los grandes avances de la tecnología coadyuvarían en los próximos años a predecir de forma rápida y eficaz los actos delictivos y los crímenes ubicados en cualquier región del continente latinoamericano.

In today's society, crimes are increasing, particularly in the city of Bogota, which has caused many inconveniences to the National Police of Colombia, as well as to the citizen security centers. Given this situation, a time-space prediction of crime and crime hotspots has been proposed with the help of artificial intelligence. Therefore, this paper aims to analyze, summarize, interpret and evaluate the various techniques of space-time prediction of crime with an intelligent view. Due to the very nature of the research, a descriptive-qualitative approach methodology was used, with which structured observation sheets were designed to systematize information from five da-tabases: Scopus, Web of Science, IEEE, ACM, Springer; these publications span from 2019 to June 2021. Consequently, a total of 3015 studies were found, after the screening process and verification of exclusion and inclusion criteria, 132 articles were selected, then questions were applied Psychologist Internal Resident (PIR), thus leaving 18 articles. The main findings indicate that neural network algorithms proved to be one of the most effective methods for the detection of crime hotspots, given that the great advances in technology would help in the coming years to quickly and effectively predict criminal acts and crimes located in any region of the Latin American continent.

Na sociedade de hoje, a criminalidade está aumentando, particularmente na cidade de Bogotá, o que tem causado muitos inconvenientes para a Polícia Nacional Colombiana, bem como para os centros de segurança do cidadão. Diante desta situação, foi proposta uma previsão tempo-espacial de hotspots de crime com a ajuda da inteligência artificial. Portanto, este documento visa analisar, resumir, interpretar e avaliar as diversas técnicas de previsão espaço-temporal do crime com uma visão inteligente. Devido à própria natureza da pesquisa, foi utilizada uma metodologia de abordagem descritiva-qualitativa, com a qual foram elaboradas fichas de observação estrutura-das para sistematizar informações de cinco bancos de dados: Scopus, Web of Science, IEEE, ACM, Springer; estas publicações abrangem o período de 2019 a junho de 2021. Consequentemente, foi encontrado um total de 3015 estudos, após o processo de triagem e verificação dos critérios de exclusão e inclusão, 132 artigos foram selecionados, depois foram aplicadas perguntas ao Psicólogo em Residência (PIR), deixando 18 artigos. As principais descobertas indicam que os algoritmos de redes neurais provaram ser um dos métodos mais eficazes para a detecção de hotspots de crime, dado que os grandes avanços na tecnologia ajudarão nos próximos anos a prever rápida e efetivamente atos criminosos e crimes localizados em qualquer região do continente latino-americano.

Epidemic characteristics and spatiotemporal distribution analysis of human brucellosis in Henan Province, 2005 - 2021 / 中华地方病学杂志

Objective:To analyze the epidemiological characteristics and spatiotemporal characteristics of human brucellosis in Henan Province.Methods:Data of human brucellosis in Henan Province from 2005 to 2021 were collected through the China Disease Prevention and Control Information System, and a descriptive epidemiological method was used to analyze the epidemic profile of brucellosis in Henan Province and the three distribution characteristics. Global and local spatial autocorrelation were used to analyze the spatial distribution and the hot spots of brucellosis in Henan Province, respectively, and spatiotemporal scanning was used to analyze the spatiotemporal clustering regions of brucellosis in Henan Province.Results:A total of 39 862 brucellosis cases were reported in Henan Province from 2005 to 2021, with an average annual incidence of 2.44/100 000, and the number of cases showed an overall increasing trend each year (χ 2trend = 11 127.85, P = 0.001). The onset months were mainly concentrated from March to July, accounting for 59.00% (23 517/39 862), with May as the peak (5 478 cases). Cases of brucellosis were reported in 157 counties (cities, districts) of the province. The ratio of male to female was 2.52∶1.00 (28 542/11 320). Farmers were the main occupation, with 32 985 cases (82.75%). The age of onset was mainly 45 to 65 years old, with 20 226 cases (50.74%). The global spatial autocorrelation analysis showed that the global Moran's I was > 0, Z > 1.96, and P < 0.05 in all years except 2006 - 2008, showing spatial clustering. Further local spatial autocorrelation analysis was performed, and high-high and low-low clustering areas existed in 2012 - 2021 ( P < 0.01). Spatiotemporal scanning analysis showed that there was one spatiotemporal cluster in the high incidence area and two spatiotemporal clusters in the low incidence area. The high incidence cluster was centered in Neixiang County, covering 48 counties (cities, districts) including Song County and Ruzhou City, and the aggregation time was from 2014 to 2021. The two low incidence clusters were centered in Yongcheng City and Boai County, covering 58 and 18 counties (cities, districts), respectively, and the aggregation time was 2016 - 2021 and 2005 - 2012, respectively. Conclusion:The overall incidence of brucellosis in Henan Province is on the rise from 2005 to 2021, with middle-aged and elderly male farmers as the main affected population, and there are spatiotemporal clusters of brucellosis in Henan Province.

Spatiotemporal characteristics of hemorrhagic fever with renal syndrome in China from 2004 to 2020 / 中华地方病学杂志

Objective:To analyze the spatiotemporal characteristics and spatial aggregation of the incidence of hemorrhagic fever with renal syndrome (HFRS) in China from 2004 to 2020, and to provide a scientific basis for prevention and control of HFRS.Methods:The epidemic information of HFRS in China from 2004 to 2020 was collected from the Public Health Science Data Center, the China Health Statistics Yearbook, and the National Statutory Infectious Disease Epidemic Profile Report. The Joinpoint model was used to analyze the annual average incidence rate change trend, ArcGIS 10.5 software was used for spatial visualization analysis, and global spatial autocorrelation, local spatial autocorrelation and spatiotemporal scan analysis were applied to detect hot spots and aggregation areas.Results:From 2004 to 2020, a total of 208 441 cases of HFRS were reported in China, with an average annual incidence rate of 0.91/100 000. Joinpoint model analysis showed that the average annual incidence rate of HFRS in China showed a decreasing trend from 2004 to 2020. In the provinces with high incidence, the disease was mostly distributed with multimodal distribution in spring, autumn and winter, especially in autumn and winter. The results of global spatial autocorrelation analysis showed that the global Moran's I of HFRS incidence rate in China from 2004 to 2019 were all positive. Except 2012 and 2020, the random distribution pattern was not excluded, other years showed spatial clustering ( Z > 1.65, P < 0.05). The results of phased local spatial autocorrelation analysis indicated that Heilongjiang, Jilin and Liaoning provinces were high-high aggregation regions. A total of five aggregation regions were detected in the month-by-month spatiotemporal scan analysis, and the differences of each aggregation region were statistically significant ( P < 0.001). Conclusions:From 2004 to 2020, the overall incidence of HFRS in China shows a downward trend, and the incidence rate has obvious spatial aggregation. High-risk areas still exist, and it is necessary to focus on and take targeted prevention and control measures.

Prevalence and spatio-temporal clustering of visceral leishmaniasis in Gansu Province from 2015 to 2021 / 中华地方病学杂志

Objective:To analyze the epidemic status and spatial and temporal cluster distribution of visceral leishmaniasis (VL) in Gansu Province, and to provide evidence for making precise prevention and control measures and epidemic surveillance.Methods:The data of VL cases in Gansu Province reported in the China Disease Prevention and Control Information System Infectious Disease Reporting Information Management System from 2015 to 2021 were collected, descriptive epidemiology analysis was performed (three distribution of the disease). SaTScan v9.6 and ArcMap 10.7 were used for spatio-temporal cluster analysis.Results:A total of 368 VL cases were reported from 2015 to 2021, 89.13% (328/368) were concentrated in Longnan City and Gannan Tibetan Autonomous Prefecture. The number of VL cases increased year by year from 2015 to 2017, reaching a peak in 2017 (79 cases, accounting for 21.47%), and had decreased year by year since 2018. There were cases every month throughout the year, and the peak was in April in spring (38 cases). The ratio of male to female patients was 1.3 ∶ 1.0 (208/160). Scattered children aged less than 5 years old were more common (41.30%, 152/368). The spatio-temporal cluster analysis showed that both the spatial and temporal aggregation zones of VL in Tanchang County and Chengxian County were of statistical significance ( P < 0.05). Conclusion:The incidence of VL in Gansu Province is showing a low epidemic trend, having spatio-temporal aggregation, and precise monitoring and prevention and control should be strengthened in epidemic areas with different prevalence levels.

Spatiotemporal clustering analysis of hand, foot and mouth disease in Shangcheng District / 预防医学

Objective @#To investigate the spatiotemporal clustering characteristics of hand, foot, and mouth disease in Shangcheng District, Hangzhou City in 2021, so as to provide insights into prevention and control of hand, foot, and mouth disease. @*Methods@#Data pertaining to the incidence of hand, foot and mouth disease in Shangcheng District in 2021 were collected from Chinese Disease Prevention and Control Information System, spatial and temporal distribution of hand, foot and mouth disease were described, and the spatiotemporal clusters were identified.@*Results@#A total of 2 473 cases with hand, foot and mouth disease were reported in Shangcheng District in 2021, with a reported incidence rate of 186.86/105. The incidence of hand, foot and mouth disease appeared a bimodal distribution, with the first peak seen during the period between May and July (1 164 cases, 47.07%) and the second peak during the period between October and December (659 cases, 26.65%). Hand, foot and mouth disease was reported across all streets in Shangcheng District, with the highest incidence seen in Dinglan Street (398.84/105). There were one primary cluster and ten secondary clusters of hand, foot and mouth disease, and the primary cluster was centered in Jianqiao Street with 1.81 km in radius, which covered 9 communities in Jianqiao Street and was clustered during the period from March 19 and April 13. Of the 10 secondary clusters, there were three clusters in Dinglan Street, one in each of Jiubao, Sijiqing, Wangjiang and Kaixuan streets, and three clusters crossing streets. In addition, no spatiotemporal clusters of hand, foot and mouth disease were identified in Nanxing Street, Qingbo Street or Ziyang Street.@*Conclusion@#There was a remarkable spatiotemporal cluster in the incidence of hand, foot and mouth disease in Shangcheng District in 2021, with the peaks in incidence from May to July and from October to December, and the incidence of hand, foot and mouth disease was mainly clustered in the urban-rural junction and the central urban regions.

Spatiotemporal characteristics and prevention and control measures of SARS-CoV-2 Omicron pandemic in Shanghai / 上海预防医学

ObjectiveTo analyze the spatiotemporal characteristics and prevention and control measures of the pandemic caused by the SARS-CoV-2 Omicron variant in Shanghai in 2022， aiming to optimize future prevention and control strategies. MethodsDescriptive statistical method was used to analyze data on daily infections released by the Shanghai Municipal Health Commission from March 1 to June 30， 2022. ResultsAs of 30 June， a total of 627 110 infections and 588 deaths had been reported in Shanghai. Most of the cases were in Pudong New Area （35.47%）， Minhang District （10.18%） and Huangpu District （9.27%）. The cumulative infection rate was 8.78% in Huangpu District， which was the highest among all the districts. With the progress of the pandemic， the prevention and control measures were strengthened from a “precise prevention and control” strategy to “block and grid” screening， and then upgraded to city-wide lockdown. All daily new infections were identified from the quarantined population on April 29， 2022， reaching the goal of “clearance of community transmission”. ConclusionThe cumulative infections in Shanghai exceeded any previous epidemics in mainland China. Given the enhanced transmissibility and vaccine-induced immune escape of the Omicron variant， timely and strong public health measures are needed to suppress the pandemic under the general policy of "Dynamic zero-COVID".

Simulation analysis on the distribution characteristics and movement rules of particulate matter in a convenience store / 中国职业医学

Objective: The spatial distribution model of particulate matter based on time change in a specific place was established to analyze the spatial and temporal distribution characteristics and movement of particulate matter. Methods: A convenience store was selected as the research subject. The micro-climate and particle number concentration (PNC) of the site were detected, and numerical simulation was carried out by computational fluid dynamics (CFD) simulation method. Based on the discrete phase model, the temporal and spatial distribution characteristics and movement rules of simulated particles were analyzed. Results: The wind speed at the entrance of the convenience store was low and almost unchanged during the detection, while the wind speeds outside and inside outlets were high and changed sharply. The PNC of particle size of 0.02-1.00 μm was higher than that of particle size >1.00 μm (all P<0.05). The PNC with particle size of 0.02-1.00 μm from high to low were checkout counter, entrance, outer outlet and inner outlet (all P<0.05). The PNC of the checkout counter and entrance varies greatly, while the PNC of the outer outlet and inner outlet was relatively steady. The CFD simulation results showed that particles exhaled by individuals near the entrance of the checkout counter of the convenience store could be expelled outdoors more quickly with the influence of airflow. However, particles exhaled by individuals in the middle of the shelves remained suspended indoors for a longer period of time compared to those near the checkout counter. Particles emitted from the air conditioning outlet diffuse throughout the entire store and reach a steady state in 300 seconds. Conclusion: The particulate matter in the convenience store was mainly small particle with the size less than 1.00 μm. The residence time, downward trend and number of suspended particulates of human exhaled particles were related to air flow. The particulates escaped from the air conditioner could quickly spread to almost the entire convenience store.

Geographical and temporal weighted regression model and its application in epidemiology: a review / 中国血吸虫病防治杂志

Geographical and temporal weighted regression (GTWR) model is a local regression linear model, which indirectly reflects the spatio-temporal non-stationary characteristics of the study data by calculating the trends for changes in parameters with space and time. Recently, GTWR model has become one of the hot topics in the study on spatio-temporal heterogeneity of diseases. This review summarizes the basic principles and study methods of the GTWR model, and describes the applications of this model in epidemiology.

Prokaryotic expression, polyclonal antibody preparation, spatio-temporal expression profile and functional analysis of c-Myc of Helicoverpa armigera (Lepidoptera: Noctuidae) / 生物工程学报

c-Myc protein encoded by c-Myc (cellular-myelocytomatosis viral oncogene) gene regulates the related gene expression through the Wnt/β-catenin signaling pathway, and has received extensive attention in recent years. The purpose of this study was to express Helicoverpa armigera c-Myc gene (Ha-c-Myc) by using prokaryotic expression system, prepare the polyclonal antibody, examine the spatio-temporal expression profile of Ha-c-Myc, and investigate the possible function of Ha-c-Myc in regulating H. armigera sterol carrier protein-2 (SCP-2) gene expression. The Ha-c-Myc gene was amplified by PCR and cloned into a prokaryotic expression plasmid pET-32a(+). The recombinant plasmid pET-32a-Ha-c-Myc was transformed into Escherichia coli BL21. IPTG was used to induce the expression of the recombinant protein. Protein was purified by Ni2+-NTA column and used to immunize New Zealand rabbits for preparing the polyclonal antibody. The Ha-c-Myc expression levels in different developmental stages (egg, larva, prepupa, pupa, and adult) of H. armigera and different tissues (midgut, fat body, head, and epidermis) of the prepupa were determined by real-time quantitative reverse transcription PCR (qRT-PCR). Ha-c-Myc siRNA was synthesized and transfected into H. armigera Ha cells. The relative mRNA levels of Ha-c-Myc and HaSCP-2 in Ha cells were detected by qRT-PCR. Results showed that the pET-32a-Ha-c-Myc recombinant plasmid was constructed. The soluble Ha-c-Myc protein of about 65 kDa was expressed in E. coli. The polyclonal antibody was prepared. Western blotting analysis suggested that the antibody had high specificity. Enzyme linked immunosorbent assay (ELISA) showed that the titer of the antibody was high. Ha-c-Myc gene expressed at all developmental stages, with high levels in the early and late instars of larva, and the prepupal stage. Tissue expression profiles revealed that Ha-c-Myc expressed in various tissues of prepupa, with high expression level in the midgut, but low levels in the epidermis and fat body. RNAi results showed that the knockdown of Ha-c-Myc expression significantly affected transcription of HaSCP-2, leading to a 50% reduction in HaSCP-2 mRNA expression level. In conclusion, the Ha-c-Myc was expressed through a prokaryotic expression system, and the polyclonal anti-Ha-c-Myc antibody was obtained. Ha-c-Myc may promote the expression of HaSCP-2 and play an important role in the lipid metabolism of H. armigera. These results may facilitate further study on the potential role and function mechanism of Ha-c-Myc in H. armigera and provide experimental data for exploring new targets of green pesticides.

Spatial-temporal clustering analysis of influenza incidence in Yinzhou District from 2017 to 2021 / 预防医学

Objective@#To investigate the spatio-temporal clustering characteristics of influenza in Yinzhou District, Ningbo City, Zhejiang Province from 2017 to 2021, so as to provide insights into prevention and control of influenza. Methods Data of influenza in Yinzhou District from 2017 to 2021 were collected from the Chinese Disease Prevention and Control Information System. The software ArcGIS 10.8 was employed for spatial autocorrelation analysis, and SaTScan 10.1 was employed for spatio-temporal scanning to analyze the temporal and spatial clustering characteristics of influenza incidence in Yinzhou District. @*Methods@#Data of influenza in Yinzhou District from 2017 to 2021 were collected from the Chinese Disease Prevention and Control Information System. The software ArcGIS 10.8 was employed for spatial autocorrelation analysis, and SaTScan 10.1 was employed for spatio-temporal scanning to analyze the temporal and spatial clustering characteristics of influenza incidence in Yinzhou District.@*Results@#Totally 60 543 influenza cases were reported in Yinzhou District from 2017 to 2021, with an incidence of 0.76%. The incidence of influenza peaked in December 2019 (9.35%) and January 2020 (9.28%) during the period between 2017 and 2021. Spatial autocorrelation analysis showed that there was a positive spatial correlation of influenza incidence in Yinzhou District from 2018 to 2021 (all P<0.05), and a high clustering in 2019 and 2021. Zhonghe Street showed a low-high clustering from 2017 to 2020; Jiangshan Town showed a low-high clustering in 2017 and 2020, and a high-high clustering in 2019 and 2021; Shounan Street showed a high-high clustering from 2018 to 2020; Yunlong Street showed a high-high clustering in 2021. Spatio-temporal scanning analysis showed that the class Ⅰ clusters were located in the central region which centered in Dongqianhu Town, with aggregation time in August 2017, in the northwest region with aggregation time in December and January from 2018 to 2020, and in the west region with aggregation time in August 2021.@* Conclusion @#The incidence of influenza in Yinzhou District from 2017 to 2021 showed a spatio-temporal clustering in the northwestern region in winter and summer.

A Spacetime Odyssey of Neural Progenitors to Generate Neuronal Diversity / 神经科学通报·英文版

To understand how the nervous system develops from a small pool of progenitors during early embryonic development, it is fundamentally important to identify the diversity of neuronal subtypes, decode the origin of neuronal diversity, and uncover the principles governing neuronal specification across different regions. Recent single-cell analyses have systematically identified neuronal diversity at unprecedented scale and speed, leaving the deconstruction of spatiotemporal mechanisms for generating neuronal diversity an imperative and paramount challenge. In this review, we highlight three distinct strategies deployed by neural progenitors to produce diverse neuronal subtypes, including predetermined, stochastic, and cascade diversifying models, and elaborate how these strategies are implemented in distinct regions such as the neocortex, spinal cord, retina, and hypothalamus. Importantly, the identity of neural progenitors is defined by their spatial position and temporal patterning factors, and each type of progenitor cell gives rise to distinguishable cohorts of neuronal subtypes. Microenvironmental cues, spontaneous activity, and connectional pattern further reshape and diversify the fate of unspecialized neurons in particular regions. The illumination of how neuronal diversity is generated will pave the way for producing specific brain organoids to model human disease and desired neuronal subtypes for cell therapy, as well as understanding the organization of functional neural circuits and the evolution of the nervous system.

Epidemiological Characteristics and Spatiotemporal Distribution Patterns of Human Norovirus Outbreaks in China, 2012-2018 / 生物医学与环境科学（英文）

OBJECTIVE@#To clarify the epidemiological characteristics and spatial distribution patterns of human norovirus outbreaks in China, identify high-risk areas, and provide guidance for epidemic prevention and control.@*METHODS@#This study analyzed 964 human norovirus outbreaks involving 50,548 cases in 26 provinces reported from 2012 to 2018. Epidemiological analysis and spatiotemporal scanning analysis were conducted to analyze the distribution of norovirus outbreaks in China.@*RESULTS@#The outbreaks showed typical seasonality, with more outbreaks in winter and fewer in summer, and the total number of infected cases increased over time. Schools, especially middle schools and primary schools, are the most common settings of norovirus outbreaks, with the major transmission route being life contact. More outbreaks occurred in southeast coastal areas in China and showed significant spatial aggregation. The highly clustered areas of norovirus outbreaks have expanded northeast over time.@*CONCLUSION@#By identifying the epidemiological characteristics and high-risk areas of norovirus outbreaks, this study provides important scientific support for the development of preventive and control measures for norovirus outbreaks, which is conducive to the administrative management of high-risk settings and reduction of disease burden in susceptible areas.