The Pakistan Demographic and Health Survey (PDHS) was fielded on a national basis between the months of December 1990 and May 1991. The survey was carried out by the National Institute of Population Studies with the objective of assisting the Ministry of Population Welfare to evaluate the Population Welfare Programme and maternal and child health services. The PDHS is the latest in a series of surveys, making it possible to evaluate changes in the demographic status of the population and in health conditions nationwide. Earlier surveys include the Pakistan Contraceptive Prevalence Survey of 1984-85 and the Pakistan Fertility Survey of 1975. The primary objective of the Pakistan Demographic and Health Survey (PDHS) was to provide national- and provincial-level data on population and health in Pakistan. The primary emphasis was on the following topics: fertility, nuptiality, family size preferences, knowledge and use of family planning, the potential demand for contraception, the level of unwanted fertility, infant and child mortality, breastfeeding and food supplementation practices, maternal care, child nutrition and health, immunisations and child morbidity. This information is intended to assist policy makers, administrators and researchers in assessing and evaluating population and health programmes and strategies. The PDHS is further intended to serve as a source of demographic data for comparison with earlier surveys, particularly the 1975 Pakistan Fertility Survey (PFS) and the 1984-85 Pakistan Contraceptive Prevalence Survey (PCPS). MAIN RESULTS Until recently, fertility rates had remained high with little evidence of any sustained fertility decline. In recent years, however, fertility has begun to decline due to a rapid increase in the age at marriage and to a modest rise in the prevalence of contraceptive use. The lotal fertility rate is estimated to have fallen from a level of approximately 6.4 children in the early 1980s to 6.0 children in the mid-1980s, to 5.4 children in the late 1980s. The exact magnitude of the change is in dispute and will be the subject of further research. Important differentials of fertility include the degree ofurbanisation and the level of women's education. The total fertility rate is estimated to be nearly one child lower in major cities (4.7) than in rural areas (5.6). Women with at least some secondary schooling have a rate of 3.6, compared to a rate of 5.7 children for women with no formal education. There is a wide disparity between women's knowledge and use of contraceptives in Pakistan. While 78 percent of currently married women report knowing at least one method of contraception, only 21 percent have ever used a method, and only 12 percent are currently doing so. Three-fourths of current users are using a modem method and one-fourth a traditional method. The two most commonly used methods are female sterilisation (4 percent) and the condom (3 percent). Despite the relatively low level of contraceptive use, the gain over time has been significant. Among married non-pregnant women, contraceptive use has almost tripled in 15 years, from 5 percent in 1975 to 14 percent in 1990-91. The contraceptive prevalence among women with secondary education is 38 percent, and among women with no schooling it is only 8 percent. Nearly one-third of women in major cities arc current users of contraception, but contraceptive use is still rare in rural areas (6 percent). The Government of Pakistan plays a major role in providing family planning services. Eighty-five percent of sterilised women and 81 percent of IUD users obtained services from the public sector. Condoms, however, were supplied primarily through the social marketing programme. The use of contraceptives depends on many factors, including the degree of acceptability of the concept of family planning. Among currently married women who know of a contraceptive method, 62 percent approve of family planning. There appears to be a considerable amount of consensus between husbands and wives about family planning use: one-third of female respondents reported that both they and their husbands approve of family planning, while slightly more than one-fifth said they both disapprove. The latter couples constitute a group for which family planning acceptance will require concerted motivational efforts. The educational levels attained by Pakistani women remain low: 79 percent of women have had no formal education, 14 percent have studied at the primary or middle school level, and only 7 percent have attended at least some secondary schooling. The traditional social structure of Pakistan supports a natural fertility pattern in which the majority of women do not use any means of fertility regulation. In such populations, the proximate determinants of fertility (other than contraception) are crucial in determining fertility levels. These include age at marriage, breastfeeding, and the duration of postpartum amenorrhoea and abstinence. The mean age at marriage has risen sharply over the past few decades, from under 17 years in the 1950s to 21.7 years in 1991. Despite this rise, marriage remains virtually universal: among women over the age of 35, only 2 percent have never married. Marriage patterns in Pakistan are characterised by an unusually high degree of consangninity. Half of all women are married to their first cousin and an additional 11 percent are married to their second cousin. Breasffeeding is important because of the natural immune protection it provides to babies, and the protection against pregnancy it gives to mothers. Women in Pakistan breastfeed their children for an average of20months. Themeandurationofpostpartumamenorrhoeais slightly more than 9 months. After tbebirth of a child, women abstain from sexual relations for an average of 5 months. As a result, the mean duration of postpartum insusceptibility (the period immediately following a birth during which the mother is protected from the risk of pregnancy) is 11 months, and the median is 8 months. Because of differentials in the duration of breastfeeding and abstinence, the median duration of insusceptibility varies widely: from 4 months for women with at least some secondary education to 9 months for women with no schooling; and from 5 months for women residing in major cities to 9 months for women in rural areas. In the PDHS, women were asked about their desire for additional sons and daughters. Overall, 40 percent of currently married women do not want to have any more children. This figure increases rapidly depending on the number of children a woman has: from 17 percent for women with two living children, to 52 percent for women with four children, to 71 percent for women with six children. The desire to stop childbearing varies widely across cultural groupings. For example, among women with four living children, the percentage who want no more varies from 47 percent for women with no education to 84 percent for those with at least some secondary education. Gender preference continues to be widespread in Pakistan. Among currently married non-pregnant women who want another child, 49 percent would prefer to have a boy and only 5 percent would prefer a girl, while 46 percent say it would make no difference. The need for family planning services, as measured in the PDHS, takes into account women's statements concerning recent and future intended childbearing and their use of contraceptives. It is estimated that 25 percent of currently married women have a need for family planning to stop childbearing and an additional 12 percent are in need of family planning for spacing children. Thus, the total need for family planning equals 37 percent, while only 12 percent of women are currently using contraception. The result is an unmet need for family planning services consisting of 25 percent of currently married women. This gap presents both an opportunity and a challenge to the Population Welfare Programme. Nearly one-tenth of children in Pakistan die before reaching their first birthday. The infant mortality rate during the six years preceding the survey is estimaled to be 91 per thousand live births; the under-five mortality rate is 117 per thousand. The under-five mortality rates vary from 92 per thousand for major cities to 132 for rural areas; and from 50 per thousand for women with at least some secondary education to 128 for those with no education. The level of infant mortality is influenced by biological factors such as mother's age at birth, birth order and, most importantly, the length of the preceding birth interval. Children born less than two years after their next oldest sibling are subject to an infant mortality rate of 133 per thousand, compared to 65 for those spaced two to three years apart, and 30 for those born at least four years after their older brother or sister. One of the priorities of the Government of Pakistan is to provide medical care during pregnancy and at the time of delivery, both of which are essential for infant and child survival and safe motherhood. Looking at children born in the five years preceding the survey, antenatal care was received during pregnancy for only 30 percent of these births. In rural areas, only 17 percent of births benefited from antenatal care, compared to 71 percent in major cities. Educational differentials in antenatal care are also striking: 22 percent of births of mothers with no education received antenatal care, compared to 85 percent of births of mothers with at least some secondary education. Tetanus, a major cause of neonatal death in Pakistan, can be prevented by immunisation of the mother during pregnancy. For 30 percent of all births in the five years prior to the survey, the mother received a tetanus toxoid vaccination. The differentials are about the same as those for antenatal care generally. Eighty-five percent of the births occurring during the five years preceding the survey were delivered

NOTE: This dataset replaces two previous ones. Please see below. Chicago residents who are up to date with COVID-19 vaccines, based on the reported address, race-ethnicity, sex, and age group of the person vaccinated, as provided by the medical provider in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE). “Up to date” refers to individuals who meet the CDC’s updated COVID-19 vaccination criteria based on their age and prior vaccination history. For surveillance purposes, up to date is defined based on the following criteria: People ages 5 years and older: · Are up to date when they receive 1+ doses of a COVID-19 vaccine during the current season. Children ages 6 months to 4 years: · Children who have received at least two prior COVID-19 vaccine doses are up to date when they receive one additional dose of COVID-19 vaccine during the current season, regardless of vaccine product. · Children who have received only one prior COVID-19 vaccine dose are up to date when they receive one additional dose of the current season's Moderna COVID-19 vaccine or two additional doses of the current season's Pfizer-BioNTech COVID-19 vaccine. · Children who have never received a COVID-19 vaccination are up to date when they receive either two doses of the current season's Moderna vaccine or three doses of the current season's Pfizer-BioNTech vaccine. This dataset takes the place of two previous datasets, which cover doses administered from December 15, 2020 through September 13, 2023 and are marked has historical: - https://data.cityofchicago.org/Health-Human-Services/COVID-19-Daily-Vaccinations-Chicago-Residents/2vhs-cf6b - https://data.cityofchicago.org/Health-Human-Services/COVID-19-Vaccinations-by-Age-and-Race-Ethnicity/37ac-bbe3. Data Notes: Weekly cumulative totals of people up to date are shown for each combination of race-ethnicity, sex, and age group. Note that race-ethnicity, age, and sex all have an option for “All” so care should be taken when summing rows. Coverage percentages are calculated based on the cumulative number of people in each race-ethnicity/age/sex population subgroup who are considered up to date as of the week ending date divided by the estimated number of people in that subgroup. Population counts are obtained from the 2020 U.S. Decennial Census. Actual counts may exceed population estimates and lead to coverage estimates that are greater than 100%, especially in smaller demographic groupings with smaller populations. Additionally, the medical provider may report incorrect demographic information for the person receiving the vaccination, which may lead to over- or underestimation of vaccination coverage. All coverage percentages are capped at 99%. Weekly cumulative counts and coverage percentages are reported from the week ending Saturday, September 16, 2023 onward through the Saturday prior to the dataset being updated. All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined. The Chicago Department of Public Health uses the most complete data available to estimate COVID-19 vaccination coverage among Chicagoans, but there are several limitations that impact our estimates. Individuals may receive vaccinations that are not recorded in the Illinois immunization registry, I-CARE, such as those administered in another state, causing underestimation of the number individuals who are up to date. Inconsistencies in records of separate doses administered to the same person, such as slight variations in dates of birth, can result in duplicate records for a person and underestimate the number of people who are up to date.

The 1996 Nepal Family Health Survey (NFHS) is a nationally representative survey of 8,429 ever- married women age 15-49. The survey is the fifth in a series of demographic and health surveys conducted in Nepal since 1976. The main purpose of the NFHS was to provide detailed information on fertility, family planning, infant and child mortality, and matemal and child health and nutrition. In addition, the NFHS included a series of questions on knowledge of AIDS. The primary objective of the Nepal Family Health Survey (NFHS) is to provide national level estimates of fertility and child mortality. The survey also provides information on nuptiality, contraceptive knowledge and behaviour, the potential demand for contraception, other proximate determinants of fertility, family size preferences, utilization of antenatal services, breastfeeding and food supplementation practices, child nutrition and health, immunizations, and knowledge about Acquired Immune Deficiency Syndrome (AIDS). This information will assist policy-makers, administrators and researchers to assess and evaluate population and health programmes and strategies. The NFHS is comparable to Demographic and Health Surveys (DHS) conducted in other developing countries. MAIN RESULTS FERTILITY Survey results indicate that fertility in Nepal has declined steadily from over 6 births per woman in the mid-1970s to 4.6 births per woman during the period of 1994-1996. Differentials in fertility by place of residence are marked, with the total fertility rate (TFR) for urban Nepal (2.9 births per woman) about two children less than for rural Nepal (4.8 births per woman). The TFR in the Mountains (5.6 births per woman) is about one child higher than the TFR in the Hills and Terai (4.5 and 4.6 births per woman, respectively). By development region, the highest TFR is observed in the Mid-western region (5.5 births per woman) and the lowest TFR in the Eastern region (4.1 births per woman). Fertility decline in Nepal has been influenced in part by a steady increase in age at marriage over the past 25 years. The median age at first marriage has risen from 15.5 years among women age 45-49 to 17.1 years among women age 20-24. This trend towards later marriage is supported by the fact that the proportion of women married by age 15 has declined from 41 percent among women age 45-49 to 14 percent among women age 15-19. There is a strong relationship between female education and age at marriage. The median age at first marriage for women with no formal education is 16 years, compared with 19.8 years for women with some secondary education. Despite the trend towards later age at marriage, childbearing begins early for many Nepalese women. One in four women age 15-19 is already a mother or pregnant with her first child, with teenage childbearing more common among rural women (24 percent) than urban women (20 percent). Nearly one in three adolescent women residing in the Terai has begun childbearing, compared with one in five living in the Mountains and 17 percent living in the Hills. Regionally, the highest level of adolescent childbearing is observed in the Central development region while the lowest is found in the Western region. Short birth intervals are also common in Nepal, with one in four births occurring within 24 months of a previous birth. This is partly due to the relatively short period of insusceptibility, which averages 14 months, during which women are not exposed to the risk of pregnancy either because they are amenorrhoeic or abstaining. By 12-13 months after a birth, mothers of the majority of births (57 percent) are susceptible to the risk of pregnancy. Early childbearing and short birth intervals remain a challenge to policy-makers. NFHS data show that children born to young mothers and those born after short birth intervals suffer higher rates of morbidity and mortality. Despite the decline in fertility, Nepalese women continue to have more children than they consider ideal. At current fertility levels, the average woman in Nepal is having almost 60 percent more births than she wantsthe total wanted fertility rate is 2.9 births per woman, compared with the actual total fertility rate of 4.6 births per woman. Unplanned and unwanted births are often associated with increased mortality risks. More than half(56 percent) of all births in the five-year period before the survey had an increased risk of dying because the mother was too young (under 18 years) or too old (more than 34 years), or the birth was of order 3 or higher, or the birth occurred within 24 months of a previous birth. Nevertheless, the percentage of women who want to stop childbearing in Nepal has increased substantially, from 40 percent in 1981 to 52 percent in 1991 and to 59 percent in 1996. According to the NFHS, 41 percent of currently married women age 15-49 say they do not want any more children, and an additional 18 percent have been sterilized. Furthermore, 21 percent of married women want to wait at least two years for their next child and only 13 percent want to have a child soon, that is, within two years. FAMILY PLANNING Knowledge of family planning is virtually universal in Nepal, with 98 percent of currently married women having heard of at least one method of family planning. This is a five-fold increase over the last two decades (1976-1996). Much of this knowledge comes from media exposure. Fifty-three percent of ever-married women had been exposed to family planning messages on the radio and/or the television and 23 percent have been exposed to messages through the print media. In addition, about one in four women has heard at least one of three specific family planning programmes on the radio. There has been a steady increase in the level of ever use of modern contraceptive method over the past 20 years, from 4 percent of currently married women in 1976, to 27 percent in 1991 and 35 percent in 1996. Among ever-users, female sterilization and male sterilization are the most popular methods (37 percent), indicating that contraceptive methods have been used more for limiting than for spacing births. The contraceptive prevalence rate among currently married women is 29 percent, with the majority of women using modern methods (26 percent). Again, the most widely used method is sterilization (18 percent, male and female combined), followed by injectables (5 percent). Although current use of modern contraceptive methods has risen steadily over the last two decades, the pace of change has been slowest in the most recent years (1991-1996). Current use among currently married non-pregnant women increased from 3 percent in 1976 to 15 percent in 1986 to 24 percent in 1991 and to 29 percent in 1996. While female sterilization increased by only 3 percent from 45 percent of modern methods in 1986 to 46 percent in 1996, male sterilization declined by almost 50 percent from 41 percent to 21 percent over the same period. The level of current use is nearly twice as high in the urban areas (50 percent) as in rural areas (27 percent). Only 18 percent of currently married women residing in the Mountains are currently using contraception, compared with 30 percent and 29 percent living in the Hills and Terai regions, respectively. There is a notable difference in current contraceptive use between the Far-western region (21 percent) and all the other regions, especially the Central and Eastern regions (31 percent each). Educational differences in current use are large, with 26 percent of women with no education currently using contraception, compared with 52 percent of women who have completed their School Leaving Certificate (SLC). In general, as women's level of education rises, they are more likely to use modem spacing methods. The public sector figures prominently as a source of modem contraceptives. Seventy-nine percent of modem method users obtained their methods from a public source, especially hospitals and district clinics (32 percent) and mobile camps (28 percent). The public sector is the predominant source of sterilizations, 1UDs, injectables, and Norplant, and both the public and private sectors are equally important sources of the pill and condoms. Nevertheless, the public sector's share of the market has fallen over the last five years from 93 percent of current users in 1991 to 79 percent in 1996. There is considerable potential for increased family planning use in Nepal. Overall, one in three women has an unmet need for family planning14 percent for spacing and 17 percent for limiting. The total demand for family planning, including those women who are currently using contraception, is 60 percent. Currently, the family planning needs of only one in two women is being met. While the increase in unmet need between 1991 (28 percent) and 1996 (31 percent) was small, there was a 14 percent increase in the percentage of women using any method of family planning and, over the same period, a corresponding increase of 18 percent in the demand for family planning. MATERNAL AND CHILD HEALTH At current mortality levels, one of every 8 children born in Nepal will die before the fifth birthday, with two of three deaths occurring during the first year of life. Nevertheless, NFHS data show that mortality levels have been declining rapidly in Nepal since the eighties. Under-five mortality in the period 0-4 years before the survey is 40 percent lower than it was 10-14 years before the survey, with child mortality declining faster (45 percent) than infant mortality (38 percent). Mortality is consistently lower in urban than in rural areas, with children in the Mountains faring much worse than children living in the Hills and Terai. Mortality is also far worse in the Far-western and Mid-western development regions than in the other regions. Maternal education is strongly related to mortality, and children of highly educated mothers are least likely to die young. For example, infant mortality is nearly

The 'Climate Just' Map Tool shows the geography of England’s vulnerability to climate change at a neighbourhood scale. The Climate Just Map Tool shows which places may be most disadvantaged through climate impacts. It aims to raise awareness about how social vulnerability combined with exposure to hazards, like flooding and heat, may lead to uneven impacts in different neighbourhoods, causing climate disadvantage. Climate Just Map Tool includes maps on: Flooding (river/coastal and surface water) Heat Fuel poverty. The flood and heat analysis for England is based on an assessment of social vulnerability in 2011 carried out by the University of Manchester. This has been combined with national datasets on exposure to flooding, using Environment Agency data, and exposure to heat, using UKCP09 data. Data is available at Middle Super Output Area (MSOA) level across England. Summaries of numbers of MSOAs are shown in the file named Climate Just-LA_summaries_vulnerability_disadvantage_Dec2014.xls Indicators include: Climate Just-Flood disadvantage_2011_Dec2014.xlsx Fluvial flood disadvantage indexPluvial flood disadvantage index (1 in 30 years)Pluvial flood disadvantage index (1 in 100 years)Pluvial flood disadvantage index (1 in 1000 years) Climate Just-Flood_hazard_exposure_2011_Dec2014.xlsx Percentage of area at moderate and significant risk of fluvial floodingPercentage of area at risk of surface water flooding (1 in 30 years)Percentage of area at risk of surface water flooding (1 in 100 years)Percentage of area at risk of surface water flooding (1 in 1000 years) Climate Just-SSVI_indices_2011_Dec2014.xlsx Sensitivity - flood and heatAbility to prepare - floodAbility to respond - floodAbility to recover - floodEnhanced exposure - floodAbility to prepare - heatAbility to respond - heatAbility to recover - heatEnhanced exposure - heatSocio-spatial vulnerability index - floodSocio-spatial vulnerability index - heat Climate Just-SSVI_indicators_2011_Dec2014.xlsx % children < 5 years old% people > 75 years old% people with long term ill-health/disability (activities limited a little or a lot)% households with at least one person with long term ill-health/disability (activities limited a little or a lot)% unemployed% in low income occupations (routine & semi-routine)% long term unemployed / never worked% households with no adults in employment and dependent childrenAverage weekly household net income estimate (equivalised after housing costs) (Pounds)% all pensioner households% households rented from social landlords% households rented from private landlords% born outside UK and IrelandFlood experience (% area associated with past events)Insurance availability (% area with 1 in 75 chance of flooding)% people with % unemployed% in low income occupations (routine & semi-routine)% long term unemployed / never worked% households with no adults in employment and dependent childrenAverage weekly household net income estimate (equivalised after housing costs) (Pounds)% all pensioner households% born outside UK and IrelandFlood experience (% area associated with past events)Insurance availability (% area with 1 in 75 chance of flooding)% single pensioner households% lone parent household with dependent children% people who do not provide unpaid care% disabled (activities limited a lot)% households with no carCrime score (IMD)% area not roadDensity of retail units (count /km2)% change in number of local VAT-based units% people with % not home workers% unemployed% in low income occupations (routine & semi-routine)% long term unemployed / never worked% households with no adults in employment and dependent childrenAverage weekly household net income estimate (Pounds)% all pensioner households% born outside UK and IrelandInsurance availability (% area with 1 in 75 chance of flooding)% single pensioner households% lone parent household with dependent children% people who do not provide unpaid care% disabled (activities limited a lot)% households with no carTravel time to nearest GP by walk/public transport (mins - representative time)% of at risk population (no car) outside of 15 minutes by walk/public transport to nearest GP Number of GPs within 15 minutes by walk/public transport Number of GPs within 15 minutes by car Travel time to nearest hospital by walk/public transport (mins - representative time)Travel time to nearest hospital by car (mins - representative time)% of at risk population outside of 30 minutes by walk/PT to nearest hospitalNumber of hospitals within 30 minutes by walk/public transport Number of hospitals within 30 minutes by car % people with % not home workersChange in median house price 2004-09 (Pounds)% area not green space Area of domestic buildings per area of domestic gardens (m2 per m2)% area not blue spaceDistance to coast (m)Elevation (m)% households with the lowest floor level: Basement or semi-basement% households with the lowest floor level: ground floor% households with the lowest floor level: fifth floor or higher

Cervical Cancer Risk Factors for Biopsy: This Dataset is Obtained from UCI Repository and kindly acknowledged! This file contains a List of Risk Factors for Cervical Cancer leading to a Biopsy Examination! About 11,000 new cases of invasive cervical cancer are diagnosed each year in the U.S. However, the number of new cervical cancer cases has been declining steadily over the past decades. Although it is the most preventable type of cancer, each year cervical cancer kills about 4,000 women in the U.S. and about 300,000 women worldwide. In the United States, cervical cancer mortality rates plunged by 74% from 1955 - 1992 thanks to increased screening and early detection with the Pap test. AGE Fifty percent of cervical cancer diagnoses occur in women ages 35 - 54, and about 20% occur in women over 65 years of age. The median age of diagnosis is 48 years. About 15% of women develop cervical cancer between the ages of 20 - 30. Cervical cancer is extremely rare in women younger than age 20. However, many young women become infected with multiple types of human papilloma virus, which then can increase their risk of getting cervical cancer in the future. Young women with early abnormal changes who do not have regular examinations are at high risk for localized cancer by the time they are age 40, and for invasive cancer by age 50. SOCIOECONOMIC AND ETHNIC FACTORS Although the rate of cervical cancer has declined among both Caucasian and African-American women over the past decades, it remains much more prevalent in African-Americans -- whose death rates are twice as high as Caucasian women. Hispanic American women have more than twice the risk of invasive cervical cancer as Caucasian women, also due to a lower rate of screening. These differences, however, are almost certainly due to social and economic differences. Numerous studies report that high poverty levels are linked with low screening rates. In addition, lack of health insurance, limited transportation, and language difficulties hinder a poor woman’s access to screening services. HIGH SEXUAL ACTIVITY Human papilloma virus (HPV) is the main risk factor for cervical cancer. In adults, the most important risk factor for HPV is sexual activity with an infected person. Women most at risk for cervical cancer are those with a history of multiple sexual partners, sexual intercourse at age 17 years or younger, or both. A woman who has never been sexually active has a very low risk for developing cervical cancer. Sexual activity with multiple partners increases the likelihood of many other sexually transmitted infections (chlamydia, gonorrhea, syphilis).Studies have found an association between chlamydia and cervical cancer risk, including the possibility that chlamydia may prolong HPV infection. FAMILY HISTORY Women have a higher risk of cervical cancer if they have a first-degree relative (mother, sister) who has had cervical cancer. USE OF ORAL CONTRACEPTIVES Studies have reported a strong association between cervical cancer and long-term use of oral contraception (OC). Women who take birth control pills for more than 5 - 10 years appear to have a much higher risk HPV infection (up to four times higher) than those who do not use OCs. (Women taking OCs for fewer than 5 years do not have a significantly higher risk.) The reasons for this risk from OC use are not entirely clear. Women who use OCs may be less likely to use a diaphragm, condoms, or other methods that offer some protection against sexual transmitted diseases, including HPV. Some research also suggests that the hormones in OCs might help the virus enter the genetic material of cervical cells. HAVING MANY CHILDREN Studies indicate that having many children increases the risk for developing cervical cancer, particularly in women infected with HPV. SMOKING Smoking is associated with a higher risk for precancerous changes (dysplasia) in the cervix and for progression to invasive cervical cancer, especially for women infected with HPV. IMMUNOSUPPRESSION Women with weak immune systems, (such as those with HIV / AIDS), are more susceptible to acquiring HPV. Immunocompromised patients are also at higher risk for having cervical precancer develop rapidly into invasive cancer. DIETHYLSTILBESTROL (DES) From 1938 - 1971, diethylstilbestrol (DES), an estrogen-related drug, was widely prescribed to pregnant women to help prevent miscarriages. The daughters of these women face a higher risk for cervical cancer. DES is no longer prsecribed.

Abstract

The DHS is intended to serve as a primary source for international population and health information for policymakers and for the research community. In general, DHS has four objectives: - To provide participating countries with a database and analysis useful for informed choices, - To expand the international population and health database, - To advance survey methodology, and - To help develop in participating countries technical skills and resources necessary to conduct demographic and health surveys.

Apart from estimating fertility and contraceptive prevalence rates, DHS also covers the topic of child health, which has become the focus of many development programs aimed at improving the quality of life in general. The Indonesian DHS survey did not include health-related questions because this information was collected in the 1987 SUSENAS in more detail and with wider geographic coverage. Hence, the Indonesian DHS was named the "National Indonesian Contraceptive Prevalence Survey" (NICPS).

The National Indonesia Contraceptive Prevalence Survey (NICPS) was a collaborative effort between the Indonesian National Family Planning Coordinating Board (NFPCB), the Institute for Resource Development of Westinghouse and the Central Bureau of Statistics (CBS). The survey was part of an international program in which similar surveys are being implemented in developing countries in Asia, Africa, and Latin America.

The 1987 NICPS was specifically designed to meet the following objectives: - To provide data on the family planning and fertility behavior of the Indonesian population necessary for program organizers and policymakers in evaluating and enhancing the national family planning program, and - To measure changes in fertility and contraceptive prevalence rates and at the same time study factors which affect the change, such as marriage patterns, urban/rural residence, education, breastfeeding habits, and availability of contraception.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men

Kind of data

Sample survey data

Sampling procedure

The 1987 NICPS sample was drawn from the annual National Socioeconomic Survey (popularly called SUSENAS) which was conducted in January and February 1987. Each year the SUSENAS consists of one set of core questions and several modules which are rotated every three years. The 1987 SUSENAS main modules covered household income, expenditure, and consumption. In addition, in collaboration with the Ministry of Health, information pertaining to children under 5 years of age was collected, including food supplement patterns, and measurement of height, weight, and arm circumference. In this module, information on prenatal care, type of birth attendant, and immunization was also asked.

This national survey covered over 60,000 households which were scattered in almost all of the districts. The data were collected by the "Mantri Statistik", a CBS officer in charge of data collection at the sub-district level. All households covered in the selected census blocks were listed on the SSN 87-LI form. This form was then used in selecting samples for each of the modules included in the SUSENAS. This particular form was also used to select the sample households in the 1987 NICPS.

Sample selection in the 1987 SUSENAS utilized a multistage sampling procedure. The first stage consisted of selecting a number of census blocks with probability proportional to the number of households in the block. Census blocks are statistical areas formed before the 1980 Population Census and contain approximately 100 households. At the second stage, households were selected systematically from each sampled census block.

Selection of the 1987 NICPS sample was also done in two stages. The first stage was to select census blocks from the those selected in the 1987 SUSENAS. At the second stage a number of households was selected systematically from the selected census block.

Mode of data collection

Face-to-face [f2f]

Research instrument

The household questionnaire was used to record all members of the selected households who usually live in the household. The questionnaire was utilized to identify the eligible respondents in the household, and to provide the numerator for the computation of demographic measurements such as fertility and contraceptive use rates.

The individual questionnaire was used for all ever-married women aged 15-49, and consisted of the following eight sections:

Section 1 Respondent's Background

This part collected information related to the respondent and the household, such as current and past mobility, age, education, literacy, religion, and media exposure. Information related to the household includes source of water for drinking, for bathing and washing, type of toilet, ownership of durable goods, and type of floor.

Section 2 Reproduction

This part gathered information on all children ever born, sex of the child, month and year of birth, survival status of the child, age when the child died, and whether the child lived with the respondent. Using the information collected in this section, one can compute measures of fertility and mortality, especially infant and child mortality rates. With the birth history data collected in this section, it is possible to calculate trends in fertility over time. This section also included a question about whether the respondent was pregnant at the time of interview, and her knowledge regarding women's fertile period in the monthly menstrual cycle.

Section 3 Knowledge and Practice of Family Planning

This section is one of the most important parts of the 1987 NICPS survey. Here the respondent was asked whether she had ever heard of or used any of the family planning methods listed. If the respondent had used a contraceptive method, she was asked detailed questions about the method. For women who gave birth to a child since January 1982, questions on family planning methods used in the intervals between births were also asked. The section also included questions on source of methods, quality of use, reasons for nonuse, and intentions for future use. These data are expected to answer questions on the effectiveness of family planning use. Finally, the section also included questions about whether the respondent had been visited by a family planning field worker, which community-level people she felt were most appropriate to give family planning information, and whether she had ever heard of the condom, DuaLima, the brand being promoted by a social marketing program.

Section 4 Breastfeeding

The objective of this part was to collect information on maternal and child health, primarily that concerning place of birth, type of assistance at birth, breastfeeding practices, and supplementary food. Information was collected for children born since January 1982.

Section 5 Marriage

This section gathered information regarding the respondent's age at first marriage, number of times married, and whether the respondent and her husband ever lived with any of their parents. Several questions in this section were related to the frequency of sexual intercourse to determine the respondent's risk of pregnancy. Not all of the data collected in this section are presented in this report; some require more extensive analysis than is feasible at this stage.

Section 6 Fertility Preferences

Intentions about having another child, preferred birth interval, and ideal number of children were covered in this section.

Section 7 Husband's Background and Respondent's Work

Education, literacy and occupation of the respondent's husband made up this section of the questionnaire. It also collected information on the respondent's work pattern before and after marriage, and whether she was working at the time of interview.

Section 8 Interview Particulars

This section was used to record the language used in the interview and information about whether the interviewer was assisted by an interpreter. The individual questionnaire also included information regarding the duration of interview and presence of other persons at particular points during the interview. In addition to the questionnaires, two manuals were developed. The manual for interviewers contained explanations of how to conduct an interview, how to carry out the field activity, and how to fill out the questionnaires. Since information regarding age was vital in this survey, a table to convert months from Javanese, Sundanese and Islamic calendar systems to the Gregorian calendar was attached to the 1987 NICPS manual for the interviewers.

Response rate

The NICPS covered a sample of nearly 15,000 households to interview 11,884 respondents. Respondents for the individual interview were ever-married women aged 15-49. During the data collection, 14,141 out of the 14,227 existing households and 11,884 out of 12,065 eligible women were successfully interviewed. In general, few problems were encountered during interviewing, and the response rate was high--99 percent for households and 99 percent for individual respondents.

Note: See APPENDIX A in the report for more information.

Sampling error estimates

The results from sample surveys are affected by two types of errors: (1) non-sampling error and (2) sampling error. Non-sampling error is due to mistakes made in carrying out field activities, such as failure to locate and interview the correct household, errors in the way questions are asked, misunderstanding of the questions on the part of either the interviewer or the respondent, data entry errors, etc. Although efforts were made during the design and

About Violence Against Women & Girls

The Demographic and Health Surveys (DHS) Program exists to advance the global understanding of health and population trends in developing countries.

The UN describes violence against women and girls (VAWG) as: “One of the most widespread, persistent, and devastating human rights violations in our world today. It remains largely unreported due to the impunity, silence, stigma, and shame surrounding it.”

In general terms, it manifests itself in physical, sexual, and psychological forms, encompassing: • intimate partner violence (battering, psychological abuse, marital rape, femicide) • sexual violence and harassment (rape, forced sexual acts, unwanted sexual advances, child sexual abuse, forced marriage, street harassment, stalking, cyber-harassment), human trafficking (slavery, sexual exploitation) • female genital mutilation • child marriage

About The Data

The data was taken from a survey of men and women in African, Asian, and South American countries, exploring the attitudes and perceived justifications given for committing acts of violence against women. The data also explores different sociodemographic groups that the respondents belong to, including: Education Level, Marital status, Employment, and Age group.

It is, therefore, critical that the countries where these views are widespread, prioritize public awareness campaigns, and access to education for women and girls, to communicate that violence against women and girls is never acceptable or justifiable.

Field	Definition
Record ID	Numeric value unique to each question by country
Country	Country in which the survey was conducted
Gender	Whether the respondents were Male or Female
Demographics Question	Refers to the different types of demographic groupings used to segment respondents – marital status, education level, employment status, residence type, or age
Demographics Response	Refers to demographic segment into which the respondent falls (e.g. the age groupings are split into 15-24, 25-34, and 35-49)
Survey Year	Year in which the Demographic and Health Survey (DHS) took place. “DHS surveys are nationally-representative household surveys that provide data for a wide range of monitoring and impact evaluation indicators in the areas of population, health and nutrition. Standard DHS Surveys have large sample sizes (usually between 5,000 and 30,000 households) and typically are conducted around every 5 years, to allow comparisons over time.”
Value	% of people surveyed in the relevant group who agree with the question (e.g. the percentage of women aged 15-24 in Afghanistan who agree that a husband is justified in hitting or beating his wife if she burns the food)

Question | Respondents were asked if they agreed with the following statements: - A husband is justified in hitting or beating his wife if she burns the food - A husband is justified in hitting or beating his wife if she argues with him - A husband is justified in hitting or beating his wife if she goes out without telling him - A husband is justified in hitting or beating his wife if she neglects the children - A husband is justified in hitting or beating his wife if she refuses to have sex with him - A husband is justified in hitting or beating his wife for at least one specific reason

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• to provide annual data about the nation's health;
• to estimate the proportion of people in England with specified health conditions;
• to estimate the prevalence of certain risk factors associated with these conditions;
• to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;
• to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;
• to monitor progress towards selected health targets
• since 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;
• since 1995, monitor the prevalence of overweight and obesity in children.

The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change.

Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage.

Changes to the HSE from 2015:
Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS England disclosure review. The SL version of the dataset contains variables with a higher disclosure risk or are more sensitive than those included in the EUL version and is subject to more restrictive access conditions (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version.

COVID-19 and the HSE:
Due to the COVID-19 pandemic, the HSE 2020 survey was stopped in March 2020 and never re-started. There was no publication that year. The survey resumed in 2021, albeit with an amended methodology. The full HSE resumed in 2022, with an extended fieldwork period. Due to this, the decision was taken not to progress with the 2023 survey, to maximise the 2022 survey response and enable more robust reporting of data. See the NHS Digital Health Survey for England - Health, social care and lifestyles webpage for more details.

Chlamydia trachomatis (‘chlamydia’) is the most commonly diagnosed bacterial sexually transmitted infection in England. Rates of chlamydia testing and diagnosis have increased over the past decade, especially following the full implementation of the National Chlamydia Screening Programme in 2008. Having antibodies to an infection indicate that someone has been previously infected, even if they have been treated, or the infection has cleared on its own. By measuring the proportion of the population with antibodies to an infection in their blood, we can estimate the proportion that has ever been exposed to antibody inducing infections.

The project aimed to investigate trends in exposure to chlamydia among adults in England, and to identify factors associated with having antibodies to these infections. This project used information and stored blood samples from the Health Survey for England (HSE), a series of annual, nationally representative samples of the general population). Serum (blood) samples from HSE were tested for antibodies to chlamydia. Samples from three periods were tested, to investigate changes in exposure to infection over time: 1994-1996, 2001-2002 and 2008-2012. Samples were also tested for herpes simplex virus type 2 (HSV2). HSV2 is the main cause of genital herpes, which is the second most commonly diagnosed sexually transmitted virus in England. HSV2 is almost exclusively sexually transmitted and risk of acquisition is closely related to sexual behaviour. Having antibodies to HSV2 therefore provides a biological (as opposed to a self-reported) marker of sexual behaviour.

The disaggregate dataset includes demographic and sexual behaviour characteristics from the HSE questionnaire to allow the investigation of risk factors associated with having antibodies to chlamydia or HSV2.

Abstract

The Egypt sub-national Multiple Indicator Cluster Survey (MICS) was carried out in 2013-14 by El-Zanaty & Associates in collaboration with the Ministry of Health and Population. Financial and technical support was provided by the United Nations Children’s Fund (UNICEF) Egypt Country Office, Middle East and North Africa Regional Office, and UNICEF Headquarters.

The global Multiple Indicator Cluster Survey (MICS) programme was developed by UNICEF in the 1990s as an international household survey programme to support countries in the collection of internationally comparable data on a wide range of indicators on the situation of children and women. MICS measures key indicators that allow countries to generate data for use in policies and programmes, and to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments.

This MICS aims at providing data for monitoring system of the ‘Integrated Perinatal Health and Child Nutrition Programme’ (IPHN) implemented by the Ministry of Health and Population (MOHP) in Egypt with the support of UNICEF. The IPHN covers selected rural districts in 6 governorates, 4 in Upper Egypt and 2 in Lower Egypt.

The MICS in the rural districts cover by the IPHN programme in Egypt was conducted as part of the fifth global round of MICS Surveys (MICS5). The IPHN programme is implemented by the Ministry of Health and Population (MoHP) in collaboration with UNICEF in selected disadvantaged rural areas of Upper and Lower Egypt. The survey has been specifically designed to respond to the data needs of the IPHN program and of its monitoring system (which adopts the model of the Monitoring Results for Equity System, developed by UNICEF). The specific focus of this MICS is on perinatal care. In the MoRES framework developed for the IPHN program, this survey complements the data provided by the routine administrative data collection system and by evidence provided by a qualitative study on perinatal care and nutrition.

The IPHN programme has been initially conducted, since 2008, as a pilot in selected rural village/Family Health Units (FHUs) in 3 Upper Egypt governorates, and then – starting in 2012, it has been expanded in new FHUs in Upper Egypt and Lower Egypt, covering a total of 6 governorates at the time of the survey. A total of 2.5 million people were living in the areas of intervention at the time of the survey.

Consistently with the focus of the survey on perinatal care, this household survey considered as eligible for the interviews ever-married women age 15-49 and children under five. A total of 7046 households were successfully interviewed with response rate of 99.9 percent. A total of 5847 ever-married women age 15-49 were successfully interviewed and 5090 questionnaires were completed for children under-5.

The results of the survey are representative of the full area covered by the IPHN and for three subdomains, namely the pilots FHUs in Upper Egypt, the FHUs of Upper Egypt expansion phase, and the FHUs of the Lower Egypt expansion phase.

Geographic coverage

Sub-national

Analysis unit

• individuals
• households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the survey was designed to provide estimates for a large number of indicators on the situation of children and women in IPHN areas, and for the three domains: Upper Egypt pilot area, Upper Egypt expansion area, and Lower Egypt expansion area. The Family Health Unit (FHU) catchment areas in the villages of the IPHN within each region were identified as the main primary sampling units (PSUs) and the sample was selected in three stages. Within each stratum, a specified number of FHUs were selected systematically with probability proportional to size, where 10 FHUs were selected from Upper Egypt Pilot phase, and 17 FHUs from Upper Egypt Expansion phase, and 11 FHUs from Lower Egypt Expansion phase. Then a number of enumeration areas were selected systematically with probability proportional to size from each FHU catchment area. A total of 234 EAs in the selected FHUs were thus selected, 60 from Upper Egypt pilot, 108 from Upper Egypt expansion, and 66 from Lower Egypt Expansion.

After a household listing was carried out within the selected enumeration areas, a systematic sample of 30-31 households with women age 15 to 49 and/or with children under-5 years was drawn in each sample enumeration area for a total of 7067 sample households. The sample was stratified by the three domains, and is not self-weighting. For reporting results for the entire IPHN area, sample weights are used.

A stratified three-stage cluster sampling design has been adopted: 1- First stage: systematic selection of a sample of FHUs with probability proportional to size (PPS) of the FHU (population/households). 2- Second stage: systematic selection of a sample of Enumeration Areas with PPS to get a sample of EAs from each selected FHU. 3- Third stage: systematic sample of households selected from each EA When a household is selected, all ever-married women (15-49 years) and mothers or caretakers of children (0-4) years were eligible to be interviewed.

The sampling procedures are more fully described in appendix A in document "Multiple Indicator Cluster Survey 2013-14 - Final Report" pp.161-164.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS5 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes List of Household Members, Education, Household Characteristics, Water and Sanitation and Hand Washing.

In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. The questionnaire was administered to the mother or primary caretaker of the child.

The women's questionnaire includes Women's Background, Access to Mass Media and Use of Information/Communication Technology, Marriage, Birth History, Desire for Last Birth, Maternal and New-born Health, Post-natal Health Checks, Illness Symptoms, Attitude Module, and Woman and Husband's work status.

The children's questionnaire includes Child's Age, Birth Registration, Breastfeeding and Dietary Intake, Immunization, Growth Monitoring, Care of Illness and Anthropometry.

The questionnaires were based on the MICS5 model questionnaire. The previous mentioned sections were taken from the MICS5 model Arabic version questionnaires and customized, then translated into Egyptian Arabic. Additional questions were added to respond to the data needs of the monitoring system (MoRES) of the IPHN, especially in antenatal and postnatal sections. A pre-test of the questionnaires was conducted in November 2013. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.

Cleaning operations

Data were entered using the CSPro software. The data were entered on eight microcomputers and carried out by 8 data entry operators, one data entry supervisor and one assistant. In order to ensure quality control, all questionnaires were double-entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS5 programme were used and adapted to the Egypt questionnaire in the survey. Data processing began simultaneously with data collection in mid-December 2013 and was completed with the clean data set in late January 2014. Data were analysed using the Statistical Package for Social Sciences (SPSS) software program, Version 18, and the model syntax and tabulation plans developed by UNICEF were used for this purpose. In addition the country specific tables that were designed for the survey specific questions were developed using SPSS by the data processing expert of El-Zanaty and reviewed by UNICEF experts at the regional office as well as headquarters.

Response rate

Out of the 7,067 households selected for the survey, 7,050 were found to be occupied. Of these, 7,046 were successfully interviewed for a household response rate of 99.9 percent. In the interviewed households, 5,859 ever-married women (age 15-49 years) were identified. Of these, 5,847 ever-married women were successfully interviewed, yielding a response rate of 99.8 percent. In addition, 5,096 children under-5 were listed in the household questionnaire. Questionnaires were completed for 5,090 of these children, which corresponds to a response rate of 99.9 percent. Overall response rates of 99.7 and 99.8 percent are calculated for individual interviews of ever-married 15-49 year-old women and under-5s respectively.

Sampling error estimates

Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data.

The following sampling error measures are presented in this appendix for each of the selected indicators: - Standard error (se): Standard error is the square root of the variance of the estimate. For survey indicators that are means, proportions or ratios, the Taylor series linearization method is used for the estimation of standard errors. For