Linus Bengtsson
Biographic Data
| ID | 6066460 |
|---|---|
| NAME | Linus Bengtsson |
| GIVEN NAMES | Linus |
| FAMILY NAME | Bengtsson |
| SIGNATURE | BENGTSSON L |
| AFFILIATIONS | Karolinska Institutet |
| ORCID | 0000-0001-9712-2669 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 24 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Semi-automatic mapping of pre-census enumeration areas and population sampling frames
Enumeration Areas (EAs) are the operational geographic units for the collection and dissemination of census data and are often used as a national sampling frame for various types of surveys. In many poor or conflict-affected countries, EA demarcations are incomplete, outdated, or missing. Even for countries that are stable and prosperous, creating and updating EAs is one of the most challenging yet essential tasks in the preparation for a nationa…
Spatially disaggregated population estimates in the absence of national population and housing census data
Population numbers at local levels are fundamental data for many applications, including the delivery and planning of services, election preparation, and response to disasters. In resource-poor settings, recent and reliable demographic data at subnational scales can often be lacking. National population and housing census data can be outdated, inaccurate, or missing key groups or areas, while registry data are generally lacking or incomplete. Mor…
Mapping poverty using mobile phone and satellite data
Poverty is one of the most important determinants of adverse health outcomes globally, a major cause of societal instability and one of the largest causes of lost human potential. Traditional approaches to measuring and targeting poverty rely heavily on census data, which in most low- and middle-income countries (LMICs) are unavailable or out-of-date. Alternate measures are needed to complement and update estimates between censuses. This study de…
Unveiling hidden migration and mobility patterns in climate stressed regions
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from six million de-identified mobile phone users in Bangladesh over three months and two years respectively. Us…
Enhancing Syndromic Surveillance With Online Respondent-Driven Detection
Objectives. We investigated the feasibility of combining an online chain recruitment method (respondent-driven detection) and participatory surveillance panels to collect previously undetected information on infectious diseases via social networks of participants. Methods. In 2014, volunteers from 2 large panels in the Netherlands were invited to complete a survey focusing on symptoms of upper respiratory tract infections and to invite 4 individu…
Sexual relationships among men who have sex with men in Hanoi, Vietnam
This study contextualizes sexual relationships among MSM in Hanoi and highlights the extent to which HIV prevention activities need to not only consider HIV prevention in the context of casual sexual encounters but also how to adequately target preventive efforts that can reach MSM in relationships
Predictability of population displacement after the 2010 Haiti earthquake
Most severe disasters cause large population movements. These movements make it difficult for relief organizations to efficiently reach people in need. Understanding and predicting the locations of affected people during disasters is key to effective humanitarian relief operations and to long-term societal reconstruction. We collaborated with the largest mobile phone operator in Haiti (Digicel) and analyzed the movements of 1.9 million mobile pho…
Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data
BACKGROUND: Population movements following disasters can cause important increases in morbidity and mortality. Without knowledge of the locations of affected people, relief assistance is compromised. No rapid and accurate method exists to track population movements after disasters. We used position data of subscriber identity module (SIM) cards from the largest mobile phone company in Haiti (Digicel) to estimate the magnitude and trends of popula…
Unveiling hidden migration and mobility patterns in climate stressed regions
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from six million de-identified mobile phone users in Bangladesh over three months and two years respectively. Us…
Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data
BACKGROUND: Population movements following disasters can cause important increases in morbidity and mortality. Without knowledge of the locations of affected people, relief assistance is compromised. No rapid and accurate method exists to track population movements after disasters. We used position data of subscriber identity module (SIM) cards from the largest mobile phone company in Haiti (Digicel) to estimate the magnitude and trends of popula…
Predictability of population displacement after the 2010 Haiti earthquake
Most severe disasters cause large population movements. These movements make it difficult for relief organizations to efficiently reach people in need. Understanding and predicting the locations of affected people during disasters is key to effective humanitarian relief operations and to long-term societal reconstruction. We collaborated with the largest mobile phone operator in Haiti (Digicel) and analyzed the movements of 1.9 million mobile pho…
Sexual relationships among men who have sex with men in Hanoi, Vietnam
This study contextualizes sexual relationships among MSM in Hanoi and highlights the extent to which HIV prevention activities need to not only consider HIV prevention in the context of casual sexual encounters but also how to adequately target preventive efforts that can reach MSM in relationships
Enhancing Syndromic Surveillance With Online Respondent-Driven Detection
Objectives. We investigated the feasibility of combining an online chain recruitment method (respondent-driven detection) and participatory surveillance panels to collect previously undetected information on infectious diseases via social networks of participants. Methods. In 2014, volunteers from 2 large panels in the Netherlands were invited to complete a survey focusing on symptoms of upper respiratory tract infections and to invite 4 individu…
Unveiling hidden migration and mobility patterns in climate stressed regions
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in the collection of highly spatially and temporally resolved human mobility data. In this study we use two datasets of individual mobility trajectories from six million de-identified mobile phone users in Bangladesh over three months and two years respectively. Us…
Mapping poverty using mobile phone and satellite data
Poverty is one of the most important determinants of adverse health outcomes globally, a major cause of societal instability and one of the largest causes of lost human potential. Traditional approaches to measuring and targeting poverty rely heavily on census data, which in most low- and middle-income countries (LMICs) are unavailable or out-of-date. Alternate measures are needed to complement and update estimates between censuses. This study de…
Spatially disaggregated population estimates in the absence of national population and housing census data
Population numbers at local levels are fundamental data for many applications, including the delivery and planning of services, election preparation, and response to disasters. In resource-poor settings, recent and reliable demographic data at subnational scales can often be lacking. National population and housing census data can be outdated, inaccurate, or missing key groups or areas, while registry data are generally lacking or incomplete. Mor…
Semi-automatic mapping of pre-census enumeration areas and population sampling frames
Enumeration Areas (EAs) are the operational geographic units for the collection and dissemination of census data and are often used as a national sampling frame for various types of surveys. In many poor or conflict-affected countries, EA demarcations are incomplete, outdated, or missing. Even for countries that are stable and prosperous, creating and updating EAs is one of the most challenging yet essential tasks in the preparation for a nationa…
Geography (7 works) · Computer Science (5 works) · Demography (5 works) · Human Mobility and Location-Based Analysis (5 works) · Population (5 works) · Cartography (4 works) · Data science (3 works) · Economics (3 works) · Impact of Light on Environment and Health (3 works) · Mobile phone (3 works)