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array:19 [ "pii" => "X1665579614675986" "issn" => "16655796" "estado" => "S300" "fechaPublicacion" => "2014-10-01" "documento" => "article" "licencia" => "http://www.elsevier.com/open-access/userlicense/1.0/" "subdocumento" => "fla" "cita" => "Medicina Universitaria. 2014;16:152-5" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 1563 "formatos" => array:3 [ "EPUB" => 37 "HTML" => 1066 "PDF" => 460 ] ] "itemSiguiente" => array:15 [ "pii" => "X1665579614675994" "issn" => "16655796" "estado" => "S300" "fechaPublicacion" => "2014-10-01" "documento" => "article" "licencia" => "http://www.elsevier.com/open-access/userlicense/1.0/" "subdocumento" => "fla" "cita" => "Medicina Universitaria. 2014;16:156-60" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 2610 "formatos" => array:3 [ "EPUB" => 52 "HTML" => 1921 "PDF" => 637 ] ] "en" => array:11 [ "idiomaDefecto" => true "titulo" => "Impact of a fall prevention program in the Internal Medicine wards of a tertiary care university hospital" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "156" "paginaFinal" => "160" ] ] "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "304v16n65-90367599fig4.jpg" "Alto" => 845 "Ancho" => 1529 "Tamanyo" => 115013 ] ] "descripcion" => array:1 [ "en" => "Number of falls and days/ patients per year since 2007 up to 2013, as well as the 1000 days/patient rate." ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Reynaldo Lara-Medrano, Carlos Alcázar-Quiñones, Dionicio Ángel Galarza-Delgado, Laura Baena-Trejo" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Reynaldo" "apellidos" => "Lara-Medrano" ] 1 => array:2 [ "nombre" => "Carlos" "apellidos" => "Alcázar-Quiñones" ] 2 => array:2 [ "nombre" => "Dionicio Ángel" "apellidos" => "Galarza-Delgado" ] 3 => array:2 [ "nombre" => "Laura" "apellidos" => "Baena-Trejo" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/X1665579614675994?idApp=UINPBA00004N" "url" => "/16655796/0000001600000065/v0_201607061452/X1665579614675994/v0_201607061452/en/main.assets" ] "itemAnterior" => array:15 [ "pii" => "X1665579614675978" "issn" => "16655796" "estado" => "S300" "fechaPublicacion" => "2014-10-01" "documento" => "article" "licencia" => "http://www.elsevier.com/open-access/userlicense/1.0/" "subdocumento" => "fla" "cita" => "Medicina Universitaria. 2014;16:151" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:2 [ "total" => 1257 "formatos" => array:3 [ "EPUB" => 50 "HTML" => 825 "PDF" => 382 ] ] "en" => array:8 [ "idiomaDefecto" => true "titulo" => "Ebola and its current status: Experts’ consensus" "tienePdf" => "en" "tieneTextoCompleto" => "en" "paginas" => array:1 [ 0 => array:1 [ "paginaInicial" => "151" ] ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "S. Guzmán López, E. Pérez Rodríguez, F.R. Cedillo Salazar" "autores" => array:3 [ 0 => array:2 [ "Iniciales" => "S." "apellidos" => "Guzmán López" ] 1 => array:2 [ "Iniciales" => "E." "apellidos" => "Pérez Rodríguez" ] 2 => array:2 [ "Iniciales" => "F.R." "apellidos" => "Cedillo Salazar" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/X1665579614675978?idApp=UINPBA00004N" "url" => "/16655796/0000001600000065/v0_201607061452/X1665579614675978/v0_201607061452/en/main.assets" ] "en" => array:14 [ "idiomaDefecto" => true "titulo" => "Analysis of mortality during the winter seasons in Mexico from 2000 to 2012" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "152" "paginaFinal" => "155" ] ] "autores" => array:1 [ 0 => array:3 [ "autoresLista" => "Omar González-Santiago, Isaías Balderas-Rentería, Evangelina Ramírez-Lara, Sandra L. Gracia-Vásquez" "autores" => array:4 [ 0 => array:3 [ "nombre" => "Omar" "apellidos" => "González-Santiago" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 1 => array:3 [ "nombre" => "Isaías" "apellidos" => "Balderas-Rentería" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 2 => array:3 [ "nombre" => "Evangelina" "apellidos" => "Ramírez-Lara" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] 3 => array:3 [ "nombre" => "Sandra L." "apellidos" => "Gracia-Vásquez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] ] "afiliaciones" => array:1 [ 0 => array:3 [ "entidad" => "Postgraduate Division, School of Chemical Sciences, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León, México " "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "affa" ] ] ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "304v16n65-90367598fig1.jpg" "Alto" => 1595 "Ancho" => 1541 "Tamanyo" => 214183 ] ] "descripcion" => array:1 [ "en" => "Percentage of monthly mortality by gender (A) and age (B) during the period 2000-2012." ] ] ] "textoCompleto" => "<p class="elsevierStylePara"><span class="elsevierStyleBold">Introduction </span></p><p class="elsevierStylePara"> Seasonal variation in mortality has been widely studied around the world.<span class="elsevierStyleSup">1-3</span> It has been noted that mortality peaks during winter, and most countries suffer an increase in deaths, going from 5% up to 30%, compared with summer.<span class="elsevierStyleSup">4</span></p><p class="elsevierStylePara"> Although winter is considered a difficult period, paradoxically the variation in mortality is low in intense winter areas like Russia, Norway and Canada.<span class="elsevierStyleSup">5</span> It is possible that fluctuations in climatic conditions alone do not explain seasonal mortality, especially in winter. It is believed that human behavior patterns, socioeconomic factors and environmental parameters<span class="elsevierStyleSup">6</span> are related to seasonal variation in mortality.</p><p class="elsevierStylePara"> It is essential to understand the seasonality of this phenomenon, in order to establish rational policies concerning planning the demand of healthcare services during the different seasons, and to evaluate progress when the proper strategies are implemented. In this matter, in Mexico there is scarce information about the existence of an increase in mortality during winter and of its magnitude in case it does exist. The objective of this study is to describe the excess of defunctions that occur during the winter season in Mexico according to age and gender.</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Methods </span></p><p class="elsevierStylePara"> The information about the total of deaths which occurred in Mexico during the period of 2000-2012, was obtained from the National Institute of Statistics and Geography (INEGI by its Spanish acronym).<span class="elsevierStyleSup">7</span> The information was divided according to month of occurrence, winter season (January, February, March, and December), gender and the following age groups: children, ≤9 years old; teenagers, 10-19 years old; young adults, 20-39 years old; adults, 40-59 years old, and elderly, >60 years old. For the purpose of this study, all months were standardized to 30 days. If the month had 31 days, a deduction of 1/31 of the total of deaths occurred was deducted in said month. If the month had 28 days, an addition of 2/28 of the total of deaths occurred in that month was made. In the case of leap years, an addition of 1/28 was made to February. The percentage of monthly mortality was calculated in proportion to the average annual number of deaths. The utilized formula was the following: (deaths in month <span class="elsevierStyleItalic">x </span>× 100) / average annual number of deaths. When the result equals 100% the mortality rate of that particular month is considered to be equal to the annual average. To calculate the excess of deaths in winter, we used the coefficient of seasonal variation in mortality (CSVM) with the following formula:<span class="elsevierStyleSup">4</span> CSVM = [deaths (Dec + Jan + Feb + Mar)] – [Death (April + May + Jun + Jul) + deaths (Aug + Sep + Oct + Nov) / 2]. Everything divided by [deaths (Apr + May + Jun + Jul) + deaths (Aug + Sep + Oct + Nov) / 2]. In order to evaluate the tendency in the studied period, we used a lineal regression with natural CSVM logarithms and proved with the Student’s <span class="elsevierStyleItalic">t</span>-test.</p><p class="elsevierStylePara"> Ethical considerations</p><p class="elsevierStylePara"> Because the data used in this study are public domain, easily accessible through INEGI (www.inegi.org.mx), and given the retrospective native of this study, we did not consider the approval of an Ethics Committee. It is noteworthy that this database does not publish personal information.</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Results</span></p><p class="elsevierStylePara"> During the studied period, a total of 6,679,437 deaths occurred in Mexico. The months with the highest death rates were January and December, with 50,107 and 49,881 respectively. The lower average values were June and September, with 39,152 and 40,003 deaths respectively. The monthly percentage variation with respect to the annual average is presented in figure 1. In the month of January we observed the highest mortality rates for both genders, while the lowest was in June. According to gender, women scored a higher percentage than men in the month of January while in June the opposite occurred. According to age groups, children and the elderly peaked in mortality in January; young adults and adults in December and teenagers in April. On the other hand, the months with the lowest mortality rates were April for children, October for teenagers, June for young adults and adults and finally September for the elderly.</p><p class="elsevierStylePara"><img alt="Figure 1 Percentage of monthly mortality by gender (A) and age (B) during the period 2000-2012." src="304v16n65-90367598fig1.jpg"></img></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Figure 1 </span>Percentage of monthly mortality by gender <span class="elsevierStyleBold">(A)</span> and age <span class="elsevierStyleBold">(B)</span> during the period 2000-2012.</p><p class="elsevierStylePara"> Mexico experienced an increase in death rates of 14% (CSVM=0.14) during the winter season. Women (CSVM=0.15) had more deaths than men (CSVM=0.13). Furthermore, the elderly and children are the age groups most susceptible to the winter season than any other age group (CSVM=0.18 and 0.13 respectively) (table 1). Throughout the studied period, all groups presented a significant lowering tendency (<span class="elsevierStyleItalic">P</span>≤.05) (figures 2A and B).</p><p class="elsevierStylePara"><img alt="Table 1 Coefficient of seasonal variation in mortality (CSVM) and its 95% confidence interval (95%CI) in Mexico by age group and gender" src="304v16n65-90367598fig2.jpg"></img></p><p class="elsevierStylePara"><img alt="Figure 2 Coefficient of seasonal variation in mortality in Mexico by gender (A) and age group (B)." src="304v16n65-90367598fig3.jpg"></img></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Figure 2 </span>Coefficient of seasonal variation in mortality in Mexico by gender <span class="elsevierStyleBold">(A)</span> and age group <span class="elsevierStyleBold">(B).</span></p><p class="elsevierStylePara"><span class="elsevierStyleBold">Discussion </span></p><p class="elsevierStylePara"> This study describes the increase of deaths which occurred during the winter season in Mexico. Similar to other countries, the months with the highest percentage of mortality are those corresponding to said season. The increase of 14% in deaths during this season is similar to that previously reported by some European countries like Austria, Belgium, France and Italy (CSVM=0.13) and lower than those in Spain, Portugal and Ireland (CSVM=0.21, 0.28, and 0.21 respectively).<span class="elsevierStyleSup">4</span></p><p class="elsevierStylePara"> Different studies have shown that intense winters and hot summers are associated with increases in mortality. In the case of winters, an increase in mortality has been observed due to cardiovascular causes and respiratory infections.<span class="elsevierStyleSup">6</span> This seasonal variation is due in part to infections with influenza, respiratory syncytial viruses and perhaps aggregated bacte¿ rial infections. It is worth stressing that during the winter months there is also an increase in the levels of air pollutants, especially particles lower than 10 μm (PM<span class="elsevierStyleInf">10</span>) and 2.5 μm (PM<span class="elsevierStyleInf">2.5</span>) in urban areas. These have been associated with in¿ creases in mortality due to cardiovascular causes.<span class="elsevierStyleSup">8¿11</span></p><p class="elsevierStylePara"> The lowest mortality percentages for the age groups <9, 40-59 y >60 years were in the summer months. This could be because there is less overcrowding, hence less infection transmission. During these months, many people, especially students, have long vacation periods that may influence health in a positive way. The beneficial effect of vacations has been described in some studies<span class="elsevierStyleSup">12,13</span>. In contrast to the rest, the 10-19 years old age group presented increases in mortality percentages during the summer and spring months. It is possible that diarrheal diseases are some of the main causes of this result, given the fact that during this period they increase considerably.</p><p class="elsevierStylePara"> Even though all groups presented a lowering tendency in their CSVM, in the year 2010 there was a sudden increase in winter deaths. The lowering tendency can be seen again in 2011. It is possible that this sudden increase in 2010 was caused by the emergence of the H<span class="elsevierStyleInf">1</span>N<span class="elsevierStyleInf">1</span> Influenza virus in 2009. It is worth noting that in the year 2010 health authorities established a vaccination plan against the H<span class="elsevierStyleInf">1</span>N<span class="elsevierStyleInf">1</span> influenza virus where priority was given to children under 4 years of age, pregnant women and people over 60 years of age.<span class="elsevierStyleSup">14,15</span></p><p class="elsevierStylePara"> Even though the increase in deaths during winter may seem common to many countries, the magnitude of this increase differs between developed countries and developing countries. The improvement of living conditions, which lead to lower variation in interior temperature with respect to outside temperature, may be related to the lowering of mortality in winter as well as in summer in developed countries.<span class="elsevierStyleSup">16</span></p><p class="elsevierStylePara"> This study has limitations, and the results should be interpreted carefully because it wasn’t possible to rule out a sub-register of the deaths reported in the INEGI’s database. Additionally, Mexico has great climatic variability within its territory and it is possible that the 14% increase in winter deaths could be very different in some of its regions.</p><p class="elsevierStylePara"><span class="elsevierStyleBold">Conclusions </span></p><p class="elsevierStylePara"> The increase of deaths by 14% during winter in Mexico is considerably high. Children and people over 65 years of age are the most susceptible age groups. Given the high variation of temperatures throughout the country, it is necessary to conduct further studies regarding the different regions in Mexico.</p><hr></hr><p class="elsevierStylePara"> Received: May 2014; <br></br> Accepted: July 2014</p><p class="elsevierStylePara"> *Corresponding author: <br></br> Facultad de Ciencias Químicas, <br></br> Universidad Autónoma de Nuevo León, <br></br> Ave. Universidad s/n, <br></br> Ciudad Universitaria, <br></br> San Nicolás de los Garza, <br></br> Nuevo León, México. <br></br><span class="elsevierStyleItalic">E-mail address:</span><a href="mailto:omargs28@yahoo.com" class="elsevierStyleCrossRefs">omargs28@yahoo.com</a> (O. González Santiago).</p>" "pdfFichero" => "304v16n65a90367598pdf001.pdf" "tienePdf" => true "PalabrasClave" => array:1 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec686836" "palabras" => array:3 [ 0 => "Winter mortality" 1 => "Mexico" 2 => "Elderly" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:1 [ "resumen" => "<p class="elsevierStylePara"> <span class="elsevierStyleItalic">Objective:</span> To analyze mortality from all causes in Mexico during the winter months.</p> <p class="elsevierStylePara"> <span class="elsevierStyleItalic">Methods:</span> Data was extracted and tabulated on monthly all-cause mortality in the general population from 2000 to 2012 from the INEGI database. Coefficients of seasonal variation in mortality were calculated.</p> <p class="elsevierStylePara"> <span class="elsevierStyleItalic">Results:</span> In Mexico there was an increase of 14 % in mortality in the general population during winter. The more susceptible age groups were older people and children, with increases of 18% and 13% respectively. The months with low levels of mortality were April, October and September for children, adolescents and older people respectively.</p> <p class="elsevierStylePara"> <span class="elsevierStyleItalic">Conclusions:</span> Important increases in winter mortality occur in Mexico.</p>" ] ] "multimedia" => array:6 [ 0 => array:8 [ "identificador" => "fig1" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "304v16n65-90367598fig1.jpg" "Alto" => 1595 "Ancho" => 1541 "Tamanyo" => 214183 ] ] "descripcion" => array:1 [ "en" => "Percentage of monthly mortality by gender (A) and age (B) during the period 2000-2012." ] ] 1 => array:8 [ "identificador" => "tbl1" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:1 [ "tablaImagen" => array:1 [ 0 => array:4 [ "imagenFichero" => "304v16n65-90367598fig2.jpg" "imagenAlto" => 854 "imagenAncho" => 1029 "imagenTamanyo" => 107898 ] ] ] ] ] "descripcion" => array:1 [ "en" => "Coefficient of seasonal variation in mortality (CSVM) and its 95% confidence interval (95%CI) in Mexico by age group and gender" ] ] 2 => array:8 [ "identificador" => "fig2" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "figura" => array:1 [ 0 => array:4 [ "imagen" => "304v16n65-90367598fig3.jpg" "Alto" => 1562 "Ancho" => 1533 "Tamanyo" => 251581 ] ] "descripcion" => array:1 [ "en" => "Coefficient of seasonal variation in mortality in Mexico by gender (A) and age group (B)." ] ] 3 => array:7 [ "identificador" => "fig3" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "descripcion" => array:1 [ "en" => "Percentage of monthly mortality by gender (A) and age (B) during the period 2000-2012." ] ] 4 => array:7 [ "identificador" => "tbl2" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "descripcion" => array:1 [ "en" => "Coefficient of seasonal variation in mortality (CSVM) and its 95% confidence interval (95%CI) in Mexico by age group and gender" ] ] 5 => array:7 [ "identificador" => "fig4" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "copyright" => "Elsevier España" "descripcion" => array:1 [ "en" => "Coefficient of seasonal variation in mortality in Mexico by gender (A) and age group (B)." ] ] ] "bibliografia" => array:2 [ "titulo" => "Bibliography" "seccion" => array:1 [ 0 => array:1 [ "bibliografiaReferencia" => array:16 [ 0 => array:3 [ "identificador" => "bib1" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:3 [ "referenciaCompleta" => "The potential impact of climate change on annual and seasonal mortality for three cities in Québec, Canada. 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Original language: English
Year/Month | Html | Total | |
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2024 November | 2 | 0 | 2 |
2024 October | 11 | 2 | 13 |
2024 September | 5 | 6 | 11 |
2024 August | 10 | 4 | 14 |
2024 July | 7 | 0 | 7 |
2024 June | 8 | 2 | 10 |
2024 May | 8 | 5 | 13 |
2024 April | 9 | 5 | 14 |
2024 March | 15 | 3 | 18 |
2024 February | 7 | 8 | 15 |
2024 January | 7 | 4 | 11 |
2023 December | 3 | 2 | 5 |
2023 November | 9 | 4 | 13 |
2023 October | 7 | 3 | 10 |
2023 September | 6 | 2 | 8 |
2023 August | 5 | 1 | 6 |
2023 July | 1 | 4 | 5 |
2023 June | 7 | 4 | 11 |
2023 May | 27 | 2 | 29 |
2023 April | 8 | 1 | 9 |
2023 March | 11 | 1 | 12 |
2023 February | 5 | 5 | 10 |
2023 January | 16 | 5 | 21 |
2022 December | 21 | 15 | 36 |
2022 November | 8 | 14 | 22 |
2022 October | 6 | 5 | 11 |
2022 September | 5 | 10 | 15 |
2022 August | 15 | 7 | 22 |
2022 July | 7 | 6 | 13 |
2022 June | 15 | 9 | 24 |
2022 May | 7 | 6 | 13 |
2022 April | 7 | 11 | 18 |
2022 March | 15 | 15 | 30 |
2022 February | 10 | 8 | 18 |
2022 January | 23 | 10 | 33 |
2021 December | 15 | 9 | 24 |
2021 November | 16 | 10 | 26 |
2021 October | 16 | 9 | 25 |
2021 September | 9 | 12 | 21 |
2021 August | 20 | 7 | 27 |
2021 July | 17 | 6 | 23 |
2021 June | 9 | 11 | 20 |
2021 May | 11 | 6 | 17 |
2021 April | 45 | 7 | 52 |
2021 March | 18 | 7 | 25 |
2021 February | 6 | 5 | 11 |
2021 January | 11 | 14 | 25 |
2020 December | 9 | 10 | 19 |
2020 November | 9 | 7 | 16 |
2020 October | 8 | 6 | 14 |
2020 September | 5 | 9 | 14 |
2020 August | 11 | 9 | 20 |
2020 July | 12 | 6 | 18 |
2020 June | 10 | 3 | 13 |
2020 May | 8 | 6 | 14 |
2020 April | 8 | 3 | 11 |
2020 March | 19 | 3 | 22 |
2020 February | 11 | 5 | 16 |
2020 January | 10 | 1 | 11 |
2019 December | 9 | 10 | 19 |
2019 November | 7 | 1 | 8 |
2019 October | 6 | 4 | 10 |
2019 September | 10 | 1 | 11 |
2019 August | 6 | 4 | 10 |
2019 July | 9 | 8 | 17 |
2019 June | 43 | 14 | 57 |
2019 May | 92 | 27 | 119 |
2019 April | 44 | 10 | 54 |
2019 March | 3 | 1 | 4 |
2019 February | 5 | 3 | 8 |
2019 January | 3 | 6 | 9 |
2018 December | 1 | 1 | 2 |
2018 November | 4 | 2 | 6 |
2018 October | 7 | 6 | 13 |
2018 September | 3 | 5 | 8 |
2018 August | 0 | 2 | 2 |
2018 July | 4 | 1 | 5 |
2018 June | 1 | 1 | 2 |
2018 May | 2 | 0 | 2 |
2018 April | 1 | 1 | 2 |
2018 March | 5 | 0 | 5 |
2018 February | 3 | 0 | 3 |
2018 January | 6 | 1 | 7 |
2017 December | 4 | 0 | 4 |
2017 November | 4 | 1 | 5 |
2017 October | 4 | 1 | 5 |
2017 September | 3 | 1 | 4 |
2017 August | 5 | 0 | 5 |
2017 July | 6 | 1 | 7 |
2017 June | 5 | 3 | 8 |
2017 May | 16 | 0 | 16 |
2017 April | 7 | 3 | 10 |
2017 March | 9 | 28 | 37 |
2017 February | 9 | 2 | 11 |
2017 January | 10 | 0 | 10 |
2016 December | 16 | 0 | 16 |
2016 November | 14 | 0 | 14 |
2016 October | 11 | 4 | 15 |
2016 September | 6 | 0 | 6 |
2016 August | 11 | 2 | 13 |
2016 July | 9 | 1 | 10 |
2016 June | 25 | 10 | 35 |
2016 May | 22 | 17 | 39 |
2016 April | 23 | 12 | 35 |
2016 March | 40 | 13 | 53 |
2016 February | 30 | 16 | 46 |
2016 January | 37 | 18 | 55 |
2015 December | 31 | 14 | 45 |
2015 November | 23 | 18 | 41 |
2015 October | 23 | 13 | 36 |
2015 September | 21 | 8 | 29 |
2015 August | 26 | 11 | 37 |
2015 July | 29 | 17 | 46 |
2015 June | 29 | 9 | 38 |
2015 May | 81 | 37 | 118 |
2015 April | 31 | 14 | 45 |
2015 March | 20 | 17 | 37 |
2015 February | 37 | 22 | 59 |
2015 January | 53 | 14 | 67 |
2014 December | 45 | 19 | 64 |